Observation Instance
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/34635/?format=api
{ "ob_id": 34635, "uuid": "e4416a7d02ed4eeb9a971a7d3c2f4e42", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 10.4 Figure 1 (v20220622)", "abstract": "Data for CCB 10.4 Figure 1 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCCB10.4 Figure 1 shows historical annual-mean surface air temperature linear trend (°C per decade) and its attribution over the Hindu Kush Himalaya (HKH) region.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual means for:\r\n \r\n - Observed and modelled trends over 1961-2014\r\n - Anomalies 1961-2014 with respect to 1961-1980 average for the HKH region mean\r\n - Trends 1961-2014 for the HKH region mean\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_BerkeleyEarth_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_CRU_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_APHRO-MA_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_JRA-55_single_trend.nc; \r\nObserved and reanalysis surface air temperature OLS linear trends over 1961-2014 over the HKH region, from left to right Berkeley Earth, CRU TS, APHRO-MA, JRA-55\r\n \r\n Panel (b):\r\n - Data files: \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_min_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_MultiModelMedian_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_max_single-MultiModelMean_trend-min-median-max.nc; \r\nModelled surface air temperature OLS linear trends over 1961-2014 over the Hindu Kush Himalaya region, from left to right (CMIP6 models with min (coldest), median and max (warmest) trends)\r\n \r\n Panel (c):\r\n - Data file: Fig_10_CCB-4_1_panel-c_timeseries.csv; \r\nSurface air temperature anomalies 1961-2014 in respect to 1961-1980 average for the Hindu Kush Himalaya (HKH) region mean: means of CMIP6 hist all-forcings (red), and the CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), for hist-aer (grey) and hist-GHG (pale blue), Berkeley Earth (dark blue), CRU TS (brown), APHRO-MA (light green) and JRA-55 (dark green).\r\n \r\n Panel (d):\r\n - Data file: Fig_10_CCB-4_1_panel-d_trends.csv; \r\nSurface air temperature OLS linear trends 1961-2014 for the Hindu Kush Himalaya (HKH) region mean: observed and reanalysis data (Berkeley Earth, CRU TS, APHRO-MA, JRA-55: black crosses), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading)\r\n\r\n\r\nAcronyms: \r\nCRU TS- Climatic Research Unit Time Series, \r\nCMIP - Coupled Model Intercomparison Project, \r\nJRA - Japanese 55year Reanalysis, \r\nDAMIP - Detection and Attribution Model Intercomparison Project, \r\nGHG - Greenhouse Gas, \r\nSMILEs - Single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO -Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, d4PDF - database for policy decision-making for future climate changes, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure BBB 10.4.1, surface air temperature, Hindu Kush Himalaya, historical period", "publicationState": "citable", "dataPublishedTime": "2022-06-29T08:57:27", "doiPublishedTime": "2023-05-17T13:58:17.939381", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37638/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_10/ch10_ccb4_fig1/v20220622", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 399724, "numberOfFiles": 12, "fileFormat": "txt, netCDF, csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9600/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2935/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/49990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53131/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32726/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179506/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/34636/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }