metadata/source_snapshot.json

{
  "columns": [
    "indicator_id",
    "indicator_name",
    "country_iso3",
    "country_name",
    "year",
    "value",
    "unit",
    "dimension_pcode",
    "dimension_version",
    "source_period_start_year",
    "source_period_end_year",
    "source_period_label",
    "source_provider",
    "source_dataset",
    "source_resource",
    "source_package_id",
    "source_resource_id",
    "source_url",
    "license_id",
    "retrieved_at"
  ],
  "generated_at": "2026-08-16T10:33:07Z",
  "indicator_count": 12,
  "mode": "indicator_long",
  "repo_id": "electricsheepafrica/africa-djibouti-djibouti-rainfall-indicators-at-subnational-level-a20dca6e",
  "rows": 49800,
  "source": {
    "api_base_url": "https://data.humdata.org/api/3/action",
    "country_iso3": "DJI",
    "country_name": "Djibouti",
    "group_names": "dji",
    "license_id": "cc-by",
    "license_title": "Creative Commons Attribution International (CC BY)",
    "license_url": "http://www.opendefinition.org/licenses/cc-by",
    "organization_name": "wfp",
    "organization_title": "WFP - World Food Programme",
    "package_id": "4a8ca7c3-054f-4acf-91e9-85bc1a93b11b",
    "package_name": "dji-rainfall-subnational",
    "package_notes": "This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): - 10 day rainfall [mm] (`rfh`) - rainfall 1-month rolling aggregation [mm] (`r1h`) - rainfall 3-month rolling aggregation [mm] (`r3h`) - rainfall long term average [mm] (`rfh_avg`) - rainfall 1-month rolling aggregation long term average [mm] (`r1h_avg`) - rainfall 3-month rolling aggregation long term average [mm] (`r3h_avg`) - rainfall anomaly [%] (`rfq`) - rainfall 1-month anomaly [%] (`r1q`) - rainfall 3-month anomaly [%] (`r3q`) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the `n_pixels` column. Finally, the `type` column indicates if the value is based on a forecast, a preliminary or a final product. Forecasts are issued on the 6th, 16th, and 26th of each month for the upcoming 10-day period (dekad), then updated with improved versions on the 1st, 11th, and 21st. Preliminary observations replace the previous dekad’s forecast on the 3rd, 13th, and 23rd, and are later replaced by final observations—published mid-month (13th or 23rd)—covering all three dekads of the prior month. Please find a summary below: Publication Day: Forecast type, Covers (Dekad) - 1st: Updated forecast, 1–10 of the same month - 6th: Initial forecast, 11–20 of the same month - 11th: Updated forecast, 1–10 of the same month - 16th: Initial forecast, 21–end of the same month - 21st: Updated forecast, 11–20 of the same month - 26th: Initial forecast, 1–10 of the following month For more on CHIRPS-GEFS forecasts, see: https://www.chc.ucsb.edu/data/chirps-gefs For further details, please see the methodology section.",
    "package_page_url": "https://data.humdata.org/dataset/dji-rainfall-subnational",
    "package_title": "Djibouti: Rainfall Indicators at Subnational Level",
    "portal_url": "https://data.humdata.org",
    "resource_description": "This resource contains a subset of the full timeseries covering the past five years to date. File id: 20260813T130547023785_fad0dccc",
    "resource_format": "CSV",
    "resource_id": "abe224a7-fb56-48d8-ae9c-7377794dd65c",
    "resource_last_modified": "2026-08-13T13:05:55.924945",
    "resource_name": "dji-rainfall-subnat-5ytd.csv",
    "resource_position": "1",
    "resource_url": "https://data.humdata.org/dataset/4a8ca7c3-054f-4acf-91e9-85bc1a93b11b/resource/abe224a7-fb56-48d8-ae9c-7377794dd65c/download/dji-rainfall-subnat-5ytd.csv",
    "tag_names": "climate-weather,environment"
  },
  "year_max": 2026,
  "year_min": 2022
}