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/37543/?format=api
{ "ob_id": 37543, "uuid": "e299379f837142bfb2aa6df64cc66fe7", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 3.1, Figure 1 (v20220615)", "abstract": "Data for Cross-Chapter Box 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).\r\n\r\n\r\nCross-Chapter Box 3.1, Figure 1 shows 15-year trends of surface global warming for 1998-2012 and 2012-2026.\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\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. 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. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panels a and b in a subdirectory named panel_ab, and for panels c and d in subdirectories named panel_c and panel_d respectively.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n \r\n - Observed and modelled global annual mean surface temperature and surface air temperature trends for 1998-2012\r\n - Modelled global annual mean surface air temperature trends for 2012-2026\r\n - Observed annual mean surface temperature trends for 1998-2012\r\n - Composite of modelled annual mean surface air temperature trends for 1998-2012\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - gmst_trend_1998-2012 in panel_ab/GMST_trend.csv; HadCRUT5 for histogram, ensemble mean of HadCRUT5 and other observations for open triangles at the top, and multimodel ensemble means of CMIP5 and CMIP6 for open diamonds at the top\r\n - gsat_trend_1998-2012 in panel_ab/GSAT_trend.csv; CMIP5 and CMIP6 ensembles for histograms, ERA5 for the top filled triangle, and multimodel ensemble means of CMIP5 and CMIP6 for filled diamonds at the top\r\n \r\n Panel b:\r\n - gmst_trend_2012-2026 in panel_ab/GMST_trend.csv; multimodel ensemble means of CMIP5 and CMIP6 for open diamonds at the top\r\n - gsat_trend_2012-2026 in panel_ab/GSAT_trend.csv; CMIP5 and CMIP6 ensembles for histograms, and multimodel ensemble means of CMIP5 and CMIP6 for filled diamonds at the top\r\n \r\n Panel c:\r\n - tas in panel_c/TrendPattern_HadCRUT5_mean.nc; shading, with the sig attribute for cross markers\r\n \r\n Panel d:\r\n - tas in panel_d/TrendPattern_composite.nc: shading\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nHadCRUT5 is a gridded dataset of global historical near-surface air temperature anomalies since the year 1850.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and histograms are calculated after weighting each ensemble member with the inverse of the ensemble size of the same model.\r\n\r\nThe values for panels c and d are stored with the K/year unit but scaled to the K/decade, therefore they need to be multiplied by a factor of 10 in order to be consistent with the plotted values.\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 report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, global near-surface air temperature changes, decadal variability, hiatus, warming slowdown, CMIP5, CMIP6", "publicationState": "citable", "dataPublishedTime": "2022-06-27T11:42:27", "doiPublishedTime": "2023-02-08T16:47:35.138513", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37544/?format=api", "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_ccb1_fig1/v20220615", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 154594, "numberOfFiles": 8, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10364/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63642/?format=api" ], "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12347/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179231/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37545/?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" } ] }