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/33310/?format=api
{ "ob_id": 33310, "uuid": "dd6a312c701f47778390de50cd052071", "title": "Perturbed CO2 forecasts of the February 2019 European heatwave", "abstract": "This dataset contains a range of model output from both operational runs of the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS) CY45R1 model forecasts and hindcasts and output from specific experimental runs. \r\n\r\nThese data were produced to support the article \"Forecast-based attribution of a winter heatwave within the limit of predictability\" (see citation and link to paper elsewhere on this record).\r\n\r\nWithin the archived products the directory tree structure is as follows:\r\n\r\nTop level domain splitting:\r\n>EU\r\nModel data at 0.25 degree resolution for the region contained within (33 to 73.5N / -27 to 45E).\r\n\r\n>GLOB\r\nModel data at 0.25 degree resolution for the full globe.\r\n\r\nBelow which there are sub-directories as follows (note, M-climate is only available for the EU domain):\r\n\r\n>>ENS\r\nData from the operational Ensemble Prediction System (EPS) forecast.\r\n\r\n>>M-climate\r\nData from EPS hindcasts used to construct model climate. See https://confluence.ecmwf.int/display/FUG/M-climate%2C+the+ENS+Model+Climate.\r\n\r\n>>pi-CO2\r\nData from EPS forecast that replicates operations *but for* reduced CO2 concentrations, set to 285 ppm.\r\n\r\n>>incr-CO2\r\nData from EPS forecast that replicates operations *but for* increased CO2 concentrations, set to 600 ppm.\r\n\r\nWithin these runs the data are then available on the following level types:\r\n>>>pl\r\nData on pressure levels.\r\n\r\n>>>sfc\r\nData on single levels.\r\n\r\nEnsemble data are further split into sub-directories as follows:\r\n>>>>cf\r\nControl forecast member.\r\n\r\n>>>>pf\r\nPerturbed forecast members.\r\n\r\nThe specific variables available within each netCDF file can differ depending on the region and experiment type (eg. the operational ENS forecasts whose initialisation dates match those of the perturbed CO2 experiments have more variables available than the others). All the datasets & variables required to reproduce the analysis are described in the paper.\r\n\r\nForecast-based attribution of a winter heatwave within the limit of predictability. Nicholas J. Leach, Antje Weisheimer, Myles R. Allen, Tim Palmer. Proceedings of the National Academy of Sciences Dec 2021, 118 (49) e2112087118; DOI: 10.1073/pnas.2112087118", "keywords": "CO2, ECMWF, European heatwave", "publicationState": "citable", "dataPublishedTime": "2021-11-17T12:05:32", "doiPublishedTime": "2021-12-14T11:30:43", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33311/?format=api", "dataPath": "/badc/deposited2021/perturbedCO2-forecasts/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 438235283339, "numberOfFiles": 173, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9151/?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/51981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89641/?format=api" ], "dataLineage": "Data were generated using the ECMWF IFS CY45R1 model at Tco639 resolution. Data are either operational forecast data, or experiments that use an identical model version and setup to operations in which the CO2 concentration has been perturbed. These experiments would replicate operations but for the CO2 perturbations. Data were post-processed using cdo1.9.8 and NCO4.7.2. The data were then sent to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10970/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33450/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148791/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33313/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2521/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }