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/40210/?format=api
{ "ob_id": 40210, "uuid": "87792f7c7fa343168fa47aa3040d1584", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GRIMs model at SNU", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at SNU (Seoul National University). The dataset contains data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nKoo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y", "keywords": "control, GRIMs, SNU, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-09-30T15:40:46", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40211/?format=api", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/SNU/GRIMs/control", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 891297668875, "numberOfFiles": 8101, "fileFormat": "Files are Net-CDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10988/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?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/50418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74366/?format=api" ], "dataLineage": "Data were generated using the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. Simulation data have been converted to CF-netCDF by the SNU team using CMOR, then published by the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37088/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40217/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196056/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40212/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2560/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://creativecommons.org/licenses/by-sa/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }