Forecasted Basin-Average Accumulated Precipitation (GFS - 168 Hrs) v3

HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. This layer aggregates the final (or preliminary) HRDPA accumulations to sub-basin polygons. Each record indicates the average precipitation that truly occurred over each watershed, vital for verifying model forecasts, calibrating hydrological models, and conducting post-event analyses of flood or drought severity.

HydroBASINS represents a series of vectorized polygon layers that depict sub-basin boundaries at a global scale. The goal of this product is to provide a seamless global coverage of consistently sized and hierarchically nested sub-basins at different scales (from tens to millions of square kilometers), supported by a coding scheme that allows for analysis of catchment topology such as up- and downstream connectivity. HydroBASINS has been extracted from the gridded HydroSHEDS core layers at 15 arc-second resolution. More info: HydroBASINS

Major hydrological basin boundaries across Africa delineated from hydrologically corrected elevation data derived from HydroSHEDS and Hydro1K datasets. Each polygon represents a drainage basin defined by its watershed boundary, with attributes for basin name, area, and sub-basin coding. Use this layer for transboundary water governance, river basin management, flood risk assessment, water resource planning, and catchment-level environmental analysis across Africa. No additional information provided.

Areal hydrography features representing water bodies such as lakes, ponds, and reservoirs. Each row is a polygon with attributes for name, area, and centroid coordinates. Published by the US Census Bureau for the United States.

This data can be used to identify how forecasted precipitation may differ from the long term average, for a given location and time of the year. These anomalies are calculated by the European Centre for Medium-Range Weather Forecasts (ECMWF) and are based on their SEAS5 seasonal precipitation forecast. SEAS5 is an ensemble forecast, meaning that the weather model outputs many possible scenarios, leading to probabilistic outcomes. The data presented here is the result of averaging all outputs (the “ensemble mean”). Additional postprocessing has been applied here to aggregate ECMWF’s gridded outputs across administrative boundaries (at both admin 0 and admin 1 levels). The gridded product can also be accessed from the Copernicus Climate Data Store (CDS). Data is available on the 5th of each month, with up to 6 months of lead time (including the current month). Anomaly values are in mm/month, with positive values indicating above average precipitation. The resources in this dataset include: - Full admin 0 historical record of anomalies (forecast_precipitation_anomalies_adm0.csv) - Recent admin 1 global anomalies (forecast_precipitation_anomalies_adm1_global_3yrs.csv) - Full admin 1 historical record of anomalies, separated by region (forecast_precipitation_anomalies_adm1_{region}.csv) - Geotiffs of anomalies based on latest forecast (forecast_precipitation_anomalies_geotiff_{forecast_date}.zip)

Glacier polygons representing glacier areas. Each row is a polygon with attributes for name, area, and centroid coordinates. Published by the US Census Bureau for the United States.