Procedure Computation List
Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations.
### Available end points:
- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `title`
- `keywords`
- `abstract`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/computations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/computations/?title__startswith!=DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE`
- `/computations/?abstract__contains=HadCM3 model`
GET /api/v2/computations/?format=api&offset=2800
{ "count": 3949, "next": "https://api.catalogue.ceda.ac.uk/api/v2/computations/?format=api&limit=100&offset=2900", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/computations/?format=api&limit=100&offset=2700", "results": [ { "ob_id": 33309, "uuid": "55dade268be04e85a4f0760bcb0cac64", "title": "Caption for Figure 2.27 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Changes in ocean salinity. Estimates of salinity trends using a total least absolute differences fitting method for (a) global near-surface salinity (SSS) changes and (b) global zonal mean subsurface salinity changes. Black contours show the associated climatological mean salinity (either near-surface (a) or subsurface (b)) for the analysis period (1950–2019). Both panels represent changes of Practical Salinity Scale 1978 [PSS-78], per decade. In both panels green denotes freshening regions and orange/brown denotes regions with enhanced salinities (‘x’ marks denote non-significant changes). Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33313, "uuid": "00013d859c8d4164a0900bf0abbaa22c", "title": "ECMWF Integrated Forecasting System (IFS) CY45R1 deployed on ECMWF computing facilities using allocation for ECMWF special project spgbleac.", "abstract": "ECMWF Integrated Forecasting System (IFS) CY45R1 deployed on ECMWF computing facilities using allocation for ECMWF special project spgbleac.\r\n\r\nThis involved running a series of experiments set up and run on the ECMWF system alongside use of operational forecast run data and subsequent hindcast data products. Model runs were run globally, though output were taken on both global and and European area domains for archiving. EU domain has more comprehensive range of parameters archived.\r\n\r\nFor details of the model runs see Leach et al. (2021) in the linked documentation on this record.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33320, "uuid": "bd4188b70dd54fd0a70416025c690c2f", "title": "Cape Verde: FLEXPART model trajectories", "abstract": "Cape Verde: FLEXPART model trajectories", "keywords": "Cape Verde, FLEXPART model trajectories", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33331, "uuid": "48d4c0ec037c487ba8543ebced6e4a9a", "title": "Caption for Figure 3.28 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Long-term trends in halosteric and thermosteric sea level in CMIP6 models and observations. Units are mm year-1. In the right column, three observed maps of 0 to 2000 m halosteric sea level trends (right column) top from (Durack and Wijffels, 2010, 1950–2019 updated – D&W), middle from (Good et al., 2013, 1950-2019 updated- EN4), and lower from (Ishii et al., 2017, 1955-2019 updated – Ishii), and bottom, the CMIP6 historical multi-model mean (1950-2014). Red and orange colours show a halosteric contraction (enhanced salinity) and blue and green a halosteric expansion (reduced salinity). In the left column, basin-integrated halosteric (top) and thermosteric (bottom) trends for the Atlantic and Pacific, the two largest ocean basins, where Pacific anomalies are presented on the x-axis and Atlantic on the y-axis. Observational estimates are presented in black, CMIP6 historical (all forcings) simulations are shown in orange squares, with the multi-model mean shown as a dark orange diamond with a black bounding box. CMIP6 hist-nat (historical natural forcings only) simulations are shown in green squares with the multi-model mean as a dark green diamond with a black bounding box. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33334, "uuid": "017b66c133db4791856804b74a85752c", "title": "Caption for Figure 3.27 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Maps of multi-decadal salinity trends for the near-surface ocean. Units are Practical Salinity Scale 1978 [PSS-78] decade-1. (top) The best estimate (Section 2.3.3.2) observed trend (Durack and Wijffels, 2010–. (bottom) Simulated trend from the CMIP6 historical experiment multi-model mean (1950-–2014). Black contours show the climatological mean salinity in increments of 0.5 PSS-78 (thick lines 1 PSS-78). Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33344, "uuid": "ed3d5ebac9344ebf99b384ae0589b574", "title": "Caption for Figure 2.13 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Changes in surface humidity. (a) Trends in surface specific humidity over 1973–2019. Trends are calculated using OLS regression with significance assessed following AR(1) adjustment after Santer et al. (2008) ; ‘x’ marks denote non-significant trends). (b) Global average surface specific humidity annual anomalies (1981–2010 base period). (c) as (a) but for the relative humidity. (d) as (b) but for the global average surface relative humidity annual anomalies. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33347, "uuid": "3941a47cf1864d1d8437713005a4e3d0", "title": "Caption for Figure 2.14 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Timeseries of global mean total column water vapour annual anomalies (mm) relative to a 1988–2008 base period. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1)", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33349, "uuid": "cd8b228f5be942189c2cb2e45077d92d", "title": "Computation for JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Vegetation Index (NDVI) v1", "abstract": "All index equations from Sentinel-hub custom scripts (links in Related Documents).\r\nSentinel-2 surface reflectance products are obtained from Defra and JNCC Sentinel-2 ARD CEDA dataset. ARD granules are masked using the corresponding cloud and topographic shadow masks. NDVI index files are then generated in R 3.6.1 using the raster::calc function.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33352, "uuid": "0ff5f7effdbe4e72adfe45b2bf2f8bd0", "title": "Caption for Figure 2.15 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Changes in observed precipitation. (a, b) Spatial variability of observed precipitation trends over land for 1901–2019 for two global in-situ products. Trends are calculated using OLS regression with significance assessed following AR(1) adjustment after Santer et al. (2008) (‘x’ marks denote non-significant trends). (c) Annual time series and decadal means from 1891 to date relative to a 1981–2010 climatology (note that different products commence at distinct times). (d, e) as (a, b), but for the periods starting in 1980. (f) is for the same period for the globally complete merged GPCP v2.3 product. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33355, "uuid": "8a09ad2e25fe45fdaf7dbccd2a827cf7", "title": "Caption for Figure 2.16 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Changes in precipitation minus evaporation. (a) Trends in precipitation minus evaporation (P–E) between 1980 and 2019. Trends are calculated using OLS regression with significance assessed following AR(1) adjustment after Santer et al. (2008; ‘x’ marks denote non-significant trends). Time series of (b) global, (c) land-only and (d) ocean-only average annual P–E (mm day–1). Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33360, "uuid": "6d5769c3e5f24ba3b66b58fb701949c9", "title": "WACCM-X as part of CESM v1.2.2", "abstract": "WACCM-X as part of CESM v1.2.2 - more details on request", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13695/?format=api" ] }, { "ob_id": 33371, "uuid": "5ac2c6ccc9904ee087b1409dbc78c1ec", "title": "Derivation of ESA Land Surface Temperature Climate Change Initiative (LST_cci): All-weather daily MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020)", "abstract": "For more information on the retrieval algorithm used see the documentation on the LST CCI webpage", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33379, "uuid": "fc47446cc51f49c9b304b08c75ac66da", "title": "Computation for JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Water Index (NDWI) v1", "abstract": "All index equations from Sentinel-hub custom scripts (links in Related Documents).\r\nSentinel-2 surface reflectance products are obtained from Defra and JNCC Sentinel-2 ARD CEDA dataset. ARD granules are masked using the corresponding cloud and topographic shadow masks. NDWI index files are then generated in R 3.6.1 using the raster::calc function.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33380, "uuid": "3e92184223a84da2857f1496034ae04b", "title": "Computation for JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Moisture Index (NDMI) v1", "abstract": "All index equations from Sentinel-hub custom scripts (links in Related Documents).\r\nSentinel-2 surface reflectance products are obtained from Defra and JNCC Sentinel-2 ARD CEDA dataset. ARD granules are masked using the corresponding cloud and topographic shadow masks. NDMI index files are then generated in R 3.6.1 using the raster::calc function.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33392, "uuid": "1dd1d4bf42dc465a902141e41cc400bb", "title": "Caption for Figure 2.17 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Time series of the annual mean Northern Hemisphere (NH, top curves) and Southern Hemisphere (SH, bottom curves) Hadley cell extent (a) and Hadley cell intensity (b) since 1979. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33396, "uuid": "e7b9ab58d21047c1b9a515faab5625e6", "title": "Caption for Figure 3.28 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Long-term trends in halosteric and thermosteric sea level in CMIP6 models and observations. Units are mm year-1. In the right column, three observed maps of 0 to 2000 m halosteric sea level trends (right column) top from (Durack and Wijffels, 2010, 1950–2019 updated – D&W), middle from (Good et al., 2013, 1950-2019 updated- EN4), and lower from (Ishii et al., 2017, 1955-2019 updated – Ishii), and bottom, the CMIP6 historical multi-model mean (1950-2014). Red and orange colours show a halosteric contraction (enhanced salinity) and blue and green a halosteric expansion (reduced salinity). In the left column, basin-integrated halosteric (top) and thermosteric (bottom) trends for the Atlantic and Pacific, the two largest ocean basins, where Pacific anomalies are presented on the x-axis and Atlantic on the y-axis. Observational estimates are presented in black, CMIP6 historical (all forcings) simulations are shown in orange squares, with the multi-model mean shown as a dark orange diamond with a black bounding box. CMIP6 hist-nat (historical natural forcings only) simulations are shown in green squares with the multi-model mean as a dark green diamond with a black bounding box. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1). ", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33401, "uuid": "a4811a3fb39444048b5e0b4cc3bef8ad", "title": "Caption for Figure 3.31 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Figure 3.31 | Evaluation of historical emissions-driven CMIP6 simulations for 1850–2014. Observations (black) are compared to simulations of global mean (a) atmospheric CO2 concentration (ppmv), with observations from the National Oceanic and Atmospheric Administration Earth System Research Laboratory (NOAA ESRL; Dlugokencky and Tans, 2020); (b) surface air temperature anomaly (°C) with respect to the 1850–1900 mean, with observations from HadCRUT4 (Morice et al., 2012); (c) land carbon uptake (PgC yr–1), (d) ocean carbon uptake (PgC yr–1), both with observations from the Global Carbon Project (GCP; Friedlingstein et al., 2019) and grey shading indicating the observational uncertainty. Land and ocean carbon uptakes are plotted using a 10-year running mean for better visibility. The ocean uptake is offset to 0 in 1850 to correct for pre-industrial riverine-induced carbon fluxes. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33407, "uuid": "c4d9a3c4351241ea9a62843ce4e1c109", "title": "Computation for JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index (EVI)", "abstract": "All index equations from Sentinel-hub custom scripts (links in Related Documents).\r\nSentinel-2 surface reflectance products are obtained from Defra and JNCC Sentinel-2 ARD CEDA dataset. ARD granules are masked using the corresponding cloud and topographic shadow masks. EVI index files are then generated in R 3.6.1 using the raster::calc function.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33408, "uuid": "0286bcc4ac924662a29cee886689817b", "title": "Computation for JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Burn Ratio (NBR)", "abstract": "All index equations from Sentinel-hub custom scripts (links in Related Documents).\r\nSentinel-2 surface reflectance products are obtained from Defra and JNCC Sentinel-2 ARD CEDA dataset. ARD granules are masked using the corresponding cloud and topographic shadow masks. NBR index files are then generated in R 3.6.1 using the raster::calc function.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33411, "uuid": "6e4809d45260433a8bf2a9c7c4476965", "title": "Computation of the Particular Organic Carbon product produced from the Ocean Colour Climate Change Initiative v4.2 dataset", "abstract": "Computation of the Particulate Organic Carbon (POC) v4.2 products on geographic and sinusoidal projections at 4 km resolution are based on the empirical remote sensing reflectance (Rrs) band ratio algorithm by Stamski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. The Rrs at 443 and 555 nm were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2) (Sathyendranath et al., 2020). The bias and root-mean-square-difference of log_10 transformed POC data in each pixel were computed by weighting the uncertainties in each CCI optical water class by their membership (Brewin et al., 2017; Jackson et al., 2017). For more details about algorithm and validations, please see BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home)", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33413, "uuid": "2d7c9e299ebf4483aa0576f48e7a68e6", "title": "Computation of the Particular Organic Carbon product produced from the Ocean Colour Climate Change Initiative v5.0 dataset", "abstract": "Computation of the Particulate Organic Carbon (POC) v5 products on sinusoidal and geographic projections at 4 km resolution are based on a modified remote sensing reflectance (Rrs) band ratio algorithm by Stamski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. The Rrs at 490 and 560 nm were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5) (Sathyendranath et al., 2021). The coefficient parameters of the algorithm were estimated by applying Type II linear regression model to a global in-situ and OC-CCI v5 satellite match-up POC products. Uncertainties of log_10 transformed POC in each pixel were computed by weighting the uncertainties in each OC-CCI optical water class by their membership (Brewin et al., 2017; Jackson et al., 2017). For moredetails about algorithm and validations, please see BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home)", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33417, "uuid": "32ad63e558b84d7c8b391d464d45b99b", "title": "Empirical Export Production algorithms for the dataset \"Oceanic Export Production Based on Satellite-Derived Properties\"", "abstract": "Oceanic Export Production has been calculated using Export Production algorithms, SST, Chl, kd490, and primary production. \r\n\r\nThe SST data used is based on reprojected fields from GHRSST/OSTIA (doi:10.5067/GHOST-4FK01 ), the Chl and kd490 is from the Ocean Colour Climate Change Initiative (https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863, https://catalogue.ceda.ac.uk/uuid/db32212d86f9431dae67076dd122565e) and the primary production data from BICEP (https://catalogue.ceda.ac.uk/uuid/69b2c9c6c4714517ba10dab3515e4ee6) The algorithms used are described in the papers listed in the docs section.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33422, "uuid": "f4219ba0c0f745a2bab48348a71721ba", "title": "Caption for Figure 2.11 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Earth’s surface temperature history with key findings annotated within each panel. (a) GMST over the Holocene divided into three time scales: (i) 12 kyr–1 kyr in 100-year time steps; (ii) 1000–1900 CE, 10-year smooth; and (iii) 1900–2020 CE (from panel (c)). Median of the multi-method reconstruction (bold lines), with 5th and 95th percentiles of the ensemble members (thin lines). Vertical bars are the assessed medium confidence ranges of GMST for the Last Interglacial and mid-Holocene (Section 2.3.1.1). The last decade value and very likely range arises from Section 2.3.1.1.3. (b) Spatially resolved trends (C per decade) for HadCRUTv5 over (upper map) 1900–1980, and (lower map) 1981–2020.Significance is assessed following AR(1) adjustment after Santer et al. (2008), ‘x’ marks denote non-significant trends. (c) Temperature from instrumental data for 1850–2020, including (upper panel) multi-product mean annual timeseries assessed in Section 2.3.1.1.3 for temperature over the oceans (blue line) and temperature over the land (red line) and indicating the warming to the most recent 10 years; and annually (middle panel) and decadally (bottom panel) resolved averages for the GMST datasets assessed in Section 2.3.1.1.3. The grey shading in each panel shows the uncertainty associated with the HadCRUT5 estimate (Morice et al., 2021). All temperatures relative to the 1850–1900 reference period. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33426, "uuid": "f0adab0324864be387e64fc53fba2641", "title": "RAL extended Infrared Microware Sounder IMS retrieval scheme", "abstract": "For information on the RAL extended Infrared Microwave Sounder (IMS) retrieval scheme see the ATBD in the linked docmentation", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33430, "uuid": "94e53a8b2ba642b081ec4a44ad3bcd36", "title": "Caption for Figure 3.17 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Model evaluation of global monsoon domain, intensity, and circulation. (a, b) Climatological summer-winter range of precipitation rate, scaled by annual mean precipitation rate (shading) and 850 hPa wind velocity (arrows) based on (a) GPCP and ERA5 and (b) a multi-model ensemble mean of CMIP6 historical simulations for 1979–2014. Enclosed by red lines is the monsoon domain based on the definition by Wang and Ding (2008). (c, d) Five-year running mean anomalies of (c) global land monsoon precipitation index defined as the percentage anomaly of the summertime precipitation rate averaged over the monsoon regions over land, relative to its average for 1979–2014 (the period indicated by light grey shading) and (d) the tropical monsoon circulation index defined as the vertical shear of zonal winds between 850 and 200 hPa levels averaged over 0º–20ºN, from 120ºW eastward to 120ºE in NH summer (Wang et al., 2013; m s–1) in CMIP5 historical and RCP4.5 simulations, CMIP6 historical and AMIP simulations. Summer and winter are defined for individual hemispheres: May through September for NH summer and SH winter, and November through March for NH winter and SH summer. The number of models and ensembles are given in the legend. The multi-model ensemble mean and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, so that individual models are equally weighted irrespective of ensemble size. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33435, "uuid": "fdc12089c12b4c6984b3c2fff32bc324", "title": "Retrieval algorithm for the ESA Sea Level Climate Change Initiative (Sea_level_cci): Arctic Sea Level Anomalies from ENVISAT and SARAL/Altika satellite altimetry missions (by CLS/PML)", "abstract": "The retrieval of sea level in the Arctic sea ice covered region requires specific processing steps of the satellite altimetry measurements. For this dataset, a specific radar waveform classification method has been applied based on a neural network approach, and the waveform retracking is based on a new adaptive retracking that is able to process both open ocean and peaky echoes measured in leads without introducing any bias between the two types of surfaces. Editing and mapping processing steps have been optimized for this dataset", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33442, "uuid": "9c71c89edc3d4f579cace2627683ae27", "title": "Caption for Figure 3.33 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Model evaluation of NAM, NAO and SAM in boreal winter. Regression of Mean Sea Level Pressure (MSLP) anomalies (in hPa) onto the normalized principal component (PC) of the leading mode of variability obtained from empirical orthogonal decomposition of the boreal winter (December–February) MSLP poleward of 20ºN for the observed Northern Annular Mode (NAM, a), over 20ºN–80°N, 90°W–40°E for the North Atlantic Oscillation as shown by the black sector (NAO, b), and poleward of 20ºS for the Southern Annular Mode (SAM, c) for the JRA-55 reanalysis. Cross marks indicate regions where the anomalies are not significant at the 10% level based on t-test. The period used to calculate the NAO/NAM is 1958–2014 but 1979–2014 for the SAM. (d–f) Same but for the multi-model ensemble (MME) mean from CMIP6 historical simulations. Models are weighted in compositing to account for differences in their respective ensemble size. Diagonal lines stand for regions where less than 80% of the runs agree in sign. (g–i) Taylor diagram summarizing the representation of the modes in models and observations following Lee et al. (2019) for CMIP5 (light blue) and CMIP6 (red) historical runs. The reference pattern is taken from JRA-55 (a–c). The ratio of standard deviation (radial distance), spatial correlation (radial angle) and resulting root-mean-squared errors (solid isolines) are given for individual ensemble members (crosses) and for other observational products (ERA5 and NOAA 20CR version 3, black dots). Coloured dots stand for weighted multi-model mean statistics for CMIP5 (blue) and CMIP6 (light red) as well as for AMIP simulations from CMIP6 (orange). (j–l) Histograms of the trends built from all individual ensemble members and all the models (brown bars). Vertical lines in black show all the observational estimates. The orange, light red, and light blue lines indicate the weighted multi-model mean of CMIP6 AMIP, CMIP6 and CMIP5 historical simulations, respectively. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33444, "uuid": "2e362e12d8e444338e7e14301e377184", "title": "Retrieval algorithm for ESA Sea Level Climate Change Initiative (Sea_Level_cci): High Latitude Sea Level Anomalies from satellite altimetry (by DTU/TUM)", "abstract": "For more details see the linked technical notes in the documentation section", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33448, "uuid": "2eac08a8afe642c38754f82819c7c8bf", "title": "Caption for Figure 3.32 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Relative change in the amplitude of the seasonal cycle of global land carbon uptake in the historical CMIP6 simulations from 1961–2014. Net biosphere production estimates from 19 CMIP6 models (red), the data-led reconstruction JMA-TRANSCOM (Maki et al., 2010; dotted) and atmospheric CO2 seasonal cycle amplitude changes from observations (global as dashed line), Mauna Loa Observatory (MLO) (Dlugokencky et al., 2020) in bold black. Seasonal cycle amplitude is calculated using the curve fit algorithm package from the National Oceanic and Atmospheric Administration Earth System Research Laboratory (NOAA ESRL). Relative changes are referenced to the 1961–1970 mean and for short time series adjusted to have the same mean as the model ensemble in the last 10 years. Interannual variation was removed with a nine-year Gaussian smoothing. Shaded areas show the one sigma model spread (grey) for the CMIP6 ensemble and the one sigma standard deviation of the smoothing (red) for the CO2 MLO observations. Inset: average seasonal cycle of ensemble mean net biosphere production and its one sigma model spread for 1961–1970 (orange dashed line, light orange shading) and 2005–2014 (solid green line, green shading). Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33453, "uuid": "0db8ef252cf44925b851f06c630693b2", "title": "Caption for Figure 2.37 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Indices of interannual climate variability from 1950–2019 based upon several sea surface temperature data products. Shown are the following indices from top to bottom: IOB mode, IOD, Niño3.4, AMM and AZM. All indices are based on area-averaged annual data (see Annex IV). Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33456, "uuid": "61f98e3e770d44e9b5294dc6f28358e2", "title": "Caption for Figure 2.38 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Indices of multi-decadal climate variability from 1854–2019 based upon several sea surface temperature data products. Shown are the indices of the AMV and PDV based on area averages for the regions indicated in Annex IV. Further details on data sources and processing are available in the chapter data table (Table 2.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33459, "uuid": "505506ff29fd47829add8891d31f6e13", "title": "Caption for CCB 3.1, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "15-year trends of surface global warming for 1998–2012 and 2012–2026. (a, b) GSAT and GMST trends for 1998–2012 (a) and 2012–2026 (b). Histograms are based on GSAT in historical simulations of CMIP6 (red shading, extended by SSP2-4.5) and CMIP5 (grey shading; extended by RCP4.5). Filled and open diamonds at the top represent multi-model ensemble means of GSAT and GMST trends, respectively. Diagonal lines show histograms of HadCRUT5.0.1.0. Triangles at the top of (a) represent GMST trends of Berkeley Earth, GISTEMP, Kadow et al. (2020) and NOAAGlobalTemp-Interim, and the GSAT trend of ERA5. Selected CMIP6 members whose 1998–2012 trends are lower than the HadCRUT5.0.1.0 mean trend are indicated by purple shading (a) and (b). In (a), model GMST and GSAT, and ERA5 GSAT are masked to match HadCRUT data coverage. (c–d) Trend maps of annual near-surface temperature for 1998–2012 based on HadCRUT5.0.1.0 mean (c) and composited surface air temperature trends of subsampled CMIP6 simulations (d) that are included in purple shading area in (a). In (c), cross marks indicate trends that are not significant at the 10% level based on t-tests with serial correlation taken into account. Ensemble size used for each of the histograms and the trend composite is indicated at the top right of each of panels (a, b, d). Model ensemble members are weighted with the inverse of the ensemble size of the same model, so that individual models are equally weighted. Further details on data sources and processing are available in the chapter data table (Table 3.SM.1).", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33466, "uuid": "c89218fb8dc045b2875c06e8042f25a5", "title": "ESA Snow Climate Change Initiative: Derivation of SCFV AVHRR v2.0 product.", "abstract": "The retrieval method of the snow_cci SCFV product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre- and post-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied. Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale.\r\n\r\nThe following auxiliary data set is used for product generation: ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33467, "uuid": "0b0e05e096b24d4a92edac27d43fb6cc", "title": "ESA Snow Climate Change Initiative: Derivation of SCFG AVHRR v2.0 product.", "abstract": "The retrieval method of the snow_cci SCFG product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 630 nm and 1.61 µm (channel 3a or the reflective part of channel 3b), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. \r\n\r\nThe following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33468, "uuid": "255c8d91fdc64e21b9e3f10e34284748", "title": "ESA Snow Climate Change Initiative: Derivation of SCFV MODIS v2.0 product.", "abstract": "The retrieval method of the Snow_cci SCFV product from MODIS data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module developed by ENVEO. For the SCFV product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al., 2015). All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 550 nm and 1.6 µm, and an emissive band centred at about 11 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the Snow_cci SCFV retrieval method is applied. \r\n\r\nThe main differences of the Snow_cci snow cover mapping algorithm compared to the GlobSnow algorithm described in Metsämäki et al. (2015) are (i) improvements of the cloud screening approach applicable on a global scale, (ii) the pre-classification of snow free areas on global land areas, (iii) the adaptation of the retrieval method using of a spatially variable ground reflectance instead of global constant values for snow free land, (iv) the update of the constant value for wet snow based on analyses of spatially distributed reflectance time series of MODIS data to assure in forested areas consistency of the SCFV and the SCFG CRDP v2.0 from MODIS data (https://catalogue.ceda.ac.uk/uuid/ebe625b6f77945a68bda0ab7c78dd76b) using the same retrieval approach.\r\n\r\nImprovements of the Snow_cci SCFV version 2.0 compared to the Snow_cci version 1.0 include (i) the utilisation of an updated ground reflectance map derived from statistical analyses of an extended MODIS time series, (ii) an update of the forest mask used for the transmissivity estimation, and (iii) an update of the constant reflectance value for wet snow based on the analysis of time series of the MODIS reflectance at 0.55 µm.\r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the pixel spacing of the SCFV product. Water areas are masked if more than 30 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map. The product uncertainty for observed land pixels is provided as unbiased root mean square error (RMSE) per pixel in the ancillary variable.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33469, "uuid": "b89c9a5ea15e4fb7941ddc5330540a7a", "title": "ESA Snow Climate Change Initiative: Derivation of SCFG MODIS v2.0 product.", "abstract": "The retrieval method of the Snow_cci SCFG product from MODIS data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module developed by ENVEO. For the SCFG product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (Metsämäki et al., 2015). All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.55 µm and 1.6 µm, and an emissive band centred at about 11 µm. The Snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. \r\n\r\nThe main differences of the Snow_cci snow cover mapping algorithm compared to the GlobSnow algorithm described in Metsämäki et al. (2015) are (i) improvements of the cloud screening approach applicable on a global scale, (ii) the pre-classification of snow free areas on global land areas, (iii) the usage of spatially variable background reflectance and forest reflectance maps instead of global constant values for snow free land and forest, (iv) the update of the constant value for wet snow based on analyses of spatially distributed reflectance time series of MODIS data, and (v) the update of the global forest canopy transmissivity based on forest density from Hansen et al. (2013) and forest type layers from Land Cover CCI (Defourny, 2019) to assure in forested areas consistency of the SCFG and the SCFV CRDP v2.0 from MODIS data (https://catalogue.ceda.ac.uk/uuid/ebe625b6f77945a68bda0ab7c78dd76b) using the same retrieval approach.\r\n\r\nImprovements of the Snow_cci SCFG version 2.0 compared to the Snow_cci version 1.0 include (i) the utilisation of an updated background reflectance map derived from statistical analyses of an extended MODIS time series, (ii) an update of the forest canopy transmissivity map, and (iii) an update of the constant reflectance value for wet snow based on the analysis of time series of the MODIS reflectance at 0.55 µm. \r\n\r\nPermanent snow and ice, and water areas are masked based on the Land Cover CCI data set of the year 2000. Both classes were separately aggregated to the pixel spacing of the SCFG product. Water areas are masked if more than 30 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map. The product uncertainty for observed land pixels is provided as unbiased root mean square error (RMSE) per pixel in the ancillary variable.", "keywords": "", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33475, "uuid": "674b04f35c304602a2b70491417dccae", "title": "Beijing Climate Center (BCC) running: experiment piClim-aer using the BCC-ESM1 model.", "abstract": "Beijing Climate Center (BCC) running the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment using the BCC-ESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, BCC, BCC-ESM1, piClim-aer, AERmon, Amon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33479, "uuid": "dcf38091c16f4f8ea67bc61e0ac6831a", "title": "Met Office Hadley Centre (MOHC) running: experiment ssp370SST-lowNTCFCH4 using the UKESM1-0-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"SSP3-7.0, prescribed SSTs, with low NTCF emissions and methane concentrations\" (ssp370SST-lowNTCFCH4) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, UKESM1-0-LL, ssp370SST-lowNTCFCH4, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33482, "uuid": "e338d6efe9ab4cc385d59d5fd8e99bea", "title": "Norwegian Climate Centre (NCC) running: experiment hist-piAer using the NorESM2-LM model.", "abstract": "Norwegian Climate Centre (NCC) running the \"historical forcing, but with pre-industrial aerosol emissions\" (hist-piAer) experiment using the NorESM2-LM model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCC, NorESM2-LM, hist-piAer, Omon, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33486, "uuid": "1ba552f6021c4b338d61e20f577815f2", "title": "Natural Environment Research Council (NERC) running: experiment piClim-NOx using the UKESM1-0-LL model.", "abstract": "Natural Environment Research Council (NERC) running the \"pre-industrial climatological SSTs and forcing, but with 2014 NOx emissions\" (piClim-NOx) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NERC, UKESM1-0-LL, piClim-NOx, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33489, "uuid": "f5eeb0166e7f4c58bdd1048866732d94", "title": "Natural Environment Research Council (NERC) running: experiment piClim-O3 using the UKESM1-0-LL model.", "abstract": "Natural Environment Research Council (NERC) running the \"pre-industrial climatological SSTs and forcing, but with 2014 ozone precursor emissions\" (piClim-O3) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NERC, UKESM1-0-LL, piClim-O3, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33492, "uuid": "df20e82cd3df4835a1c6175a503d1f18", "title": "Natural Environment Research Council (NERC) running: experiment piClim-VOC using the UKESM1-0-LL model.", "abstract": "Natural Environment Research Council (NERC) running the \"pre-industrial climatological SSTs and forcing, but with 2014 VOC emissions\" (piClim-VOC) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NERC, UKESM1-0-LL, piClim-VOC, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33495, "uuid": "58e799aa1e71455cb8a143b3c395d951", "title": "Natural Environment Research Council (NERC) running: experiment ssp370SST using the UKESM1-0-LL model.", "abstract": "Natural Environment Research Council (NERC) running the \"SSP3-7.0, with SSTs prescribed from ssp370\" (ssp370SST) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NERC, UKESM1-0-LL, ssp370SST, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33498, "uuid": "4a5649179dff4ac0af23ec92ba5d4a0c", "title": "Natural Environment Research Council (NERC) running: experiment ssp370SST-lowO3 using the UKESM1-0-LL model.", "abstract": "Natural Environment Research Council (NERC) running the \"SSP3-7.0, prescribed SSTs, with low ozone precursor emissions\" (ssp370SST-lowO3) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NERC, UKESM1-0-LL, ssp370SST-lowO3, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33501, "uuid": "9d10838a07944f28adf67822069fd430", "title": "the NIMS-KMA team running: experiment histSST-piNTCF using the UKESM1-0-LL model.", "abstract": "The the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).the NIMS-KMA team running the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NIMS-KMA, UKESM1-0-LL, histSST-piNTCF, AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33504, "uuid": "a987f4b180ed4182ac01c75e06fcdb31", "title": "National Institute of Water and Atmospheric Research (NIWA) running: experiment piClim-HC using the UKESM1-0-LL model.", "abstract": "National Institute of Water and Atmospheric Research (NIWA) running the \"pre-industrial climatological SSTs and forcing, but with 2014 halocarbon concentrations (including chemistry)\" (piClim-HC) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NIWA, UKESM1-0-LL, piClim-HC, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33534, "uuid": "b4d2495341a04b26a709fa8b8ef45f15", "title": "National Institute of Water and Atmospheric Research (NIWA) running: experiment piClim-N2O using the UKESM1-0-LL model.", "abstract": "National Institute of Water and Atmospheric Research (NIWA) running the \"pre-industrial climatological SSTs and forcing, but with 2014 N2O concentrations (including chemistry)\" (piClim-N2O) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NIWA, UKESM1-0-LL, piClim-N2O, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33537, "uuid": "1092970dcca64b878f2fbc4bff37151a", "title": "National Institute of Water and Atmospheric Research (NIWA) running: experiment piClim-OC using the UKESM1-0-LL model.", "abstract": "National Institute of Water and Atmospheric Research (NIWA) running the \"pre-industrial climatological SSTs and forcing, but with 2014 organic carbon emissions\" (piClim-OC) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NIWA, UKESM1-0-LL, piClim-OC, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33540, "uuid": "dd7cae18442d45c48c935d1b4fc8b60f", "title": "National Institute of Water and Atmospheric Research (NIWA) running: experiment piClim-SO2 using the UKESM1-0-LL model.", "abstract": "National Institute of Water and Atmospheric Research (NIWA) running the \"pre-industrial climatological SSTs and forcing, but with 2014 SO2 emissions\" (piClim-SO2) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NIWA, UKESM1-0-LL, piClim-SO2, AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33543, "uuid": "46b8aac4fdfd448bb95e0b771f22b34d", "title": "Met Office Hadley Centre (MOHC) running: experiment 1pctCO2-cdr using the UKESM1-0-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, UKESM1-0-LL, 1pctCO2-cdr, Amon, Emon, Lmon, Omon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33546, "uuid": "db443b1876ab49d19343908e39766d56", "title": "Met Office Hadley Centre (MOHC) running: experiment esm-ssp585-ocn-alk-stop using the UKESM1-0-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"emission-driven SSP5-8.5 scenario with alkalinization terminated in year 2070\" (esm-ssp585-ocn-alk-stop) experiment using the UKESM1-0-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, UKESM1-0-LL, esm-ssp585-ocn-alk-stop, Amon, Eday, Emon, LImon, Lmon, Omon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33549, "uuid": "af73f3b2a6304fc6a5144803dbab94c5", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment abrupt-0p5xCO2 using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, abrupt-0p5xCO2, AERmon, Amon, Emon, LImon, Lmon, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33552, "uuid": "e3892c8d6acf45be91e60e153ca08f60", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment abrupt-2xCO2 using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, abrupt-2xCO2, AERmon, Amon, Emon, LImon, Lmon, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33555, "uuid": "6d20d038850244e4848ab5088e6f9fe6", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment amip-4xCO2 using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, amip-4xCO2, AERmon, Amon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33558, "uuid": "7ebb3a0547a04b8480486617bbb2121c", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment amip-future4K using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, amip-future4K, AERmon, Amon, Emon, LImon, Lmon, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33561, "uuid": "1e2e0f7884324673ae923f09df04beda", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment amip-m4K using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, amip-m4K, AERmon, Amon, Emon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33564, "uuid": "51f8938988ff4b09bd61debbc2fedb49", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment amip-p4K using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, amip-p4K, AERmon, Amon, Emon, LImon, Lmon, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33567, "uuid": "c7790a54770143aeb74f0ee77a17906b", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment aqua-4xCO2 using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, aqua-4xCO2, 3hr, AERmon, Amon, CFday, Eday, Emon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33570, "uuid": "df862819196149c296d419cdc1d913e5", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment aqua-control using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"aquaplanet control\" (aqua-control) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, aqua-control, 3hr, AERmon, Amon, CFday, Eday, Emon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33573, "uuid": "ce17ef4a5ee64733a757c6859c85d6e7", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment aqua-control-lwoff using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, aqua-control-lwoff, 3hr, AERmon, Amon, CFday, Eday, Emon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33576, "uuid": "2b97525a3f5541cea91945c314ff458c", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment aqua-p4K using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, aqua-p4K, 3hr, AERmon, Amon, CFday, Eday, Emon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33579, "uuid": "29cac9b90ffc49969bcaaf116c4cc4b8", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment aqua-p4K-lwoff using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, aqua-p4K-lwoff, 3hr, AERmon, Amon, CFday, Eday, Emon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33582, "uuid": "4463538606b84b4f838c18201326607b", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment a4SSTice-4xCO2 using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as piSST but with SSTs and sea ice from abrupt-4xCO2, and 4xCO2 seen by radiation and vegetation\" (a4SSTice-4xCO2) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, a4SSTice-4xCO2, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33585, "uuid": "3775e6cc9a0348218a34eeb88b980733", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment a4SSTice using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as piSST but with SSTs and sea ice from abrupt-4xCO2\" (a4SSTice) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, a4SSTice, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33588, "uuid": "b2ed3e6f5a2a457eafc5463aa22705cd", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment a4SST using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as piSST but with SSTs from abrupt-4xCO2\" (a4SST) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, a4SST, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33591, "uuid": "91d58f4a94224a09bb36ef4aac5727a6", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment amip-a4SST-4xCO2 using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as AMIP but with warming pattern from abrupt-4xCO2 added to SSTs and 4xCO2 seen by radiation and vegetation\" (amip-a4SST-4xCO2) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, amip-a4SST-4xCO2, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33594, "uuid": "3ab9ae246c9646488d57bba005bed73c", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment piSST-4xCO2 using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as piSST with radiation and vegetation seeing 4xCO2\" (piSST-4xCO2) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, piSST-4xCO2, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33597, "uuid": "bd666c1b41a24b14859fa23f6ddb6ec9", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment piSST-4xCO2-rad using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as piSST with radiation-only seeing 4xCO2\" (piSST-4xCO2-rad) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, piSST-4xCO2-rad, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33600, "uuid": "337d4ab1d49c4d359fe72350de020d13", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment piSST using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"experiment forced with pre-industrial SSTs, sea ice and atmospheric constituents\" (piSST) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, piSST, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33603, "uuid": "fafbdb28b57944bcbc787ef4852a899d", "title": "Institut Pierre-Simon Laplace (IPSL) running: experiment piSST-pxK using the IPSL-CM6A-LR model.", "abstract": "Institut Pierre-Simon Laplace (IPSL) running the \"as piSST with uniform SST increase with magnitude based on abrupt-4xCO2 response\" (piSST-pxK) experiment using the IPSL-CM6A-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR, piSST-pxK, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33606, "uuid": "2f6439c867394cf293cce3547112b377", "title": "the MIROC team running: experiment amip-piForcing using the MIROC6 model.", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).the MIROC team running the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment using the MIROC6 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC6, amip-piForcing, AERmon, Amon, LImon, Lmon, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33609, "uuid": "745a703f41c74b3e928730342964efb3", "title": "the MIROC team running: experiment aqua-4xCO2 using the MIROC6 model.", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).the MIROC team running the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment using the MIROC6 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC6, aqua-4xCO2, 3hr, 6hrPlev, AERmon, Amon, Eday, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33612, "uuid": "3236be62970d41a0b93e8d2ff46461fd", "title": "the MIROC team running: experiment aqua-control using the MIROC6 model.", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).the MIROC team running the \"aquaplanet control\" (aqua-control) experiment using the MIROC6 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC6, aqua-control, 3hr, 6hrPlev, AERmon, Amon, Eday, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33615, "uuid": "93fde315995f46aeb0e0b2c781cec226", "title": "the MIROC team running: experiment aqua-p4K using the MIROC6 model.", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).the MIROC team running the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment using the MIROC6 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC6, aqua-p4K, 3hr, 6hrPlev, AERmon, Amon, Eday, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33618, "uuid": "330247488e044081a0b56fbbf5b29ccf", "title": "Met Office Hadley Centre (MOHC) running: experiment abrupt-0p5xCO2 using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, abrupt-0p5xCO2, 3hr, AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33621, "uuid": "593cab942c7b45ee918cd4c5748063bf", "title": "Met Office Hadley Centre (MOHC) running: experiment abrupt-2xCO2 using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, abrupt-2xCO2, 3hr, AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33624, "uuid": "46e9d3cd29d74f74a1b8a3a7474c5676", "title": "Met Office Hadley Centre (MOHC) running: experiment abrupt-solp4p using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, abrupt-solp4p, 3hr, AERmon, Amon, CFmon, Emon, LImon, Lmon, Oday, Omon, SIday, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33627, "uuid": "4a9d5c3f17884414bfa791d8faeb0d38", "title": "Met Office Hadley Centre (MOHC) running: experiment amip-lwoff using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"AMIP experiment with longwave cloud-radiative effects off\" (amip-lwoff) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, amip-lwoff, AERmon, Amon, CFmon, Emon, LImon, Lmon, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33630, "uuid": "b62a3409549f435d80305ff00001adf2", "title": "Met Office Hadley Centre (MOHC) running: experiment amip-p4K-lwoff using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"AMIP experiment with uniform 4K SST increase and with longwave cloud radiative effects off\" (amip-p4K-lwoff) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, amip-p4K-lwoff, AERmon, Amon, CFmon, Emon, LImon, Lmon, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33633, "uuid": "a4118ead00134b8fa0993d1b530647d2", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua-4xCO2 using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, aqua-4xCO2, Amon, CFday, CFmon, Eday, Emon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33636, "uuid": "71f088f253d6444d81ca70665e241b0a", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua-control using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"aquaplanet control\" (aqua-control) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, aqua-control, Amon, CFday, CFmon, Eday, Emon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33639, "uuid": "4464148fd7dc46bd8e3507e324ccd62e", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua-control-lwoff using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, aqua-control-lwoff, Amon, CFmon, Emon, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33642, "uuid": "1d75c6dad46e4244b06b5c77614da37e", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua-p4K using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, aqua-p4K, Amon, CFday, CFmon, Eday, Emon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33645, "uuid": "103b6b1d2c4e41bc80f0e35d7f846bee", "title": "Met Office Hadley Centre (MOHC) running: experiment aqua-p4K-lwoff using the HadGEM3-GC31-LL model.", "abstract": "Met Office Hadley Centre (MOHC) running the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment using the HadGEM3-GC31-LL model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LL, aqua-p4K-lwoff, Amon, CFmon, Emon, SImon, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33650, "uuid": "b7ef129c052f48839c1685f01d213831", "title": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running: experiment aqua-4xCO2 using the MRI-ESM2-0 model.", "abstract": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment using the MRI-ESM2-0 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0, aqua-4xCO2, Amon, CFday, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33653, "uuid": "0c4c6def4b0a4caea675c1d16c759d57", "title": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running: experiment aqua-control using the MRI-ESM2-0 model.", "abstract": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running the \"aquaplanet control\" (aqua-control) experiment using the MRI-ESM2-0 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0, aqua-control, Amon, CFday, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33656, "uuid": "8720ea27b4e54ea7ad6f6fbb736f1bec", "title": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running: experiment aqua-control-lwoff using the MRI-ESM2-0 model.", "abstract": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment using the MRI-ESM2-0 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0, aqua-control-lwoff, Amon, CFday, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33659, "uuid": "19e6cd3e827446bcaffbf064e1da86d8", "title": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running: experiment aqua-p4K using the MRI-ESM2-0 model.", "abstract": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment using the MRI-ESM2-0 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0, aqua-p4K, Amon, CFday, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33662, "uuid": "7b31043dd6a648ab960be060f66495ff", "title": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running: experiment aqua-p4K-lwoff using the MRI-ESM2-0 model.", "abstract": "Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) running the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment using the MRI-ESM2-0 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0, aqua-p4K-lwoff, Amon, CFday, day", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33665, "uuid": "337206faa6c142eb8e0a1b5730341311", "title": "National Center for Atmospheric Research (NCAR) running: experiment abrupt-0p5xCO2 using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, abrupt-0p5xCO2, Amon, LImon, Lmon, Ofx, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33668, "uuid": "2080daedf78c4e7c87bbde3bb2db43fa", "title": "National Center for Atmospheric Research (NCAR) running: experiment abrupt-2xCO2 using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, abrupt-2xCO2, Amon, LImon, Lmon, Ofx, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33671, "uuid": "fbc472d1270c4ca1be7415e1c64a28d2", "title": "National Center for Atmospheric Research (NCAR) running: experiment abrupt-solm4p using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"abrupt 4% decrease in solar constant\" (abrupt-solm4p) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, abrupt-solm4p, Amon, LImon, Lmon, Ofx, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33674, "uuid": "a8b174acc3d246cfad0aaffe277c45fd", "title": "National Center for Atmospheric Research (NCAR) running: experiment abrupt-solp4p using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"abrupt 4% increase in solar constant\" (abrupt-solp4p) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, abrupt-solp4p, Amon, LImon, Lmon, Ofx, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33677, "uuid": "e2d42e7cdcf04a559aa1473260d43572", "title": "National Center for Atmospheric Research (NCAR) running: experiment amip-a4SST-4xCO2 using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"as AMIP but with warming pattern from abrupt-4xCO2 added to SSTs and 4xCO2 seen by radiation and vegetation\" (amip-a4SST-4xCO2) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, amip-a4SST-4xCO2, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33680, "uuid": "7f18696b694949e5840d7cde6e0635fe", "title": "National Center for Atmospheric Research (NCAR) running: experiment amip-piForcing using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, amip-piForcing, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33683, "uuid": "2f3a5771fdac43f69ba0980da113fd2c", "title": "National Center for Atmospheric Research (NCAR) running: experiment piSST-pxK using the CESM2 model.", "abstract": "National Center for Atmospheric Research (NCAR) running the \"as piSST with uniform SST increase with magnitude based on abrupt-4xCO2 response\" (piSST-pxK) experiment using the CESM2 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, piSST-pxK, Amon, LImon, Lmon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33686, "uuid": "7ffc7213ae40444b99be9be9071f1928", "title": "Research Center for Environmental Changes (AS-RCEC) running: experiment abrupt-4xCO2 using the TaiESM1 model.", "abstract": "Research Center for Environmental Changes (AS-RCEC) running the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment using the TaiESM1 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1, abrupt-4xCO2, 3hr, Amon, Ofx, Omon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33689, "uuid": "a386c47b43114ad193fa56812f19226e", "title": "Alfred Wegener Institute (AWI) running: experiment 1pctCO2 using the AWI-ESM-1-1-LR model.", "abstract": "Alfred Wegener Institute (AWI) running the \"1 percent per year increase in CO2\" (1pctCO2) experiment using the AWI-ESM-1-1-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AWI, AWI-ESM-1-1-LR, 1pctCO2, 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Oday, Odec, Omon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33692, "uuid": "3a8b533e48f34caabefbaf53b07d7f4c", "title": "Alfred Wegener Institute (AWI) running: experiment historical using the AWI-ESM-1-1-LR model.", "abstract": "Alfred Wegener Institute (AWI) running the \"all-forcing simulation of the recent past\" (historical) experiment using the AWI-ESM-1-1-LR model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, AWI, AWI-ESM-1-1-LR, historical, 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Eyr, ImonAnt, ImonGre, LImon, Lmon, Oday, Odec, Omon, SIday, SImon, day, fx", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] }, { "ob_id": 33695, "uuid": "3faa3a7aa7b84219bdc1d4d4f9bf1501", "title": "Chinese Academy of Sciences (CAS) running: experiment 1pctCO2 using the CAS-ESM2-0 model.", "abstract": "Chinese Academy of Sciences (CAS) running the \"1 percent per year increase in CO2\" (1pctCO2) experiment using the CAS-ESM2-0 model. See linked documentation for available information for each component.", "keywords": "CMIP6, WCRP, climate change, CAS, CAS-ESM2-0, 1pctCO2, Ofx, Omon", "inputDescription": null, "outputDescription": null, "softwareReference": null, "identifier_set": [] } ] }