Unified: Forecasted Basin-Average Accumulated Precipitation (REPS - 72 Hrs)
This polygon layer shows the spatial distribution of forecasted accumulated precipitation across watershed sub‑basins using data derived from the Regional Ensemble Prediction System (REPS). In other words, it aggregates precipitation amounts—computed from processed REPS forecast output (converted from GRIB2 files into raster [TIF] format)—over defined watershed boundaries to provide a detailed view of expected rainfall over a typical 72‑hour forecast period. This information supports regional hydrological forecasting, flood risk analysis, and water resource management. REPS forecast data are first processed to extract the accumulated precipitation field (APCP) and converted into high‑resolution raster images. These “REPS APCP rasters” represent the spatial distribution of forecast precipitation (in millimeters) over the region. Next, using pre‑defined watershed or sub‑basin boundaries, zonal statistics are applied to compute the average precipitation for each sub‑basin. The final layer displays these averaged values as polygon features, highlighting variations in forecasted rainfall across different drainage areas. This approach helps users pinpoint regions that may receive higher or lower rainfall, thereby enhancing hydrological assessments and emergency planning.
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Additional Info
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| Last Updated | September 17, 2026, 07:01 (UTC) |
| Created | March 25, 2026, 01:46 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Unified: Forecasted Basin-Average Accumulated Precipitation (REPS - 72 Hrs) |
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Description
A description of the dataset.
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This polygon layer shows the spatial distribution of forecasted accumulated precipitation across watershed sub‑basins using data derived from the Regional Ensemble Prediction System (REPS). In other words, it aggregates precipitation amounts—computed from processed REPS forecast output (converted from GRIB2 files into raster [TIF] format)—over defined watershed boundaries to provide a detailed view of expected rainfall over a typical 72‑hour forecast period. This information supports regional hydrological forecasting, flood risk analysis, and water resource management. REPS forecast data are first processed to extract the accumulated precipitation field (APCP) and converted into high‑resolution raster images. These “REPS APCP rasters” represent the spatial distribution of forecast precipitation (in millimeters) over the region. Next, using pre‑defined watershed or sub‑basin boundaries, zonal statistics are applied to compute the average precipitation for each sub‑basin. The final layer displays these averaged values as polygon features, highlighting variations in forecasted rainfall across different drainage areas. This approach helps users pinpoint regions that may receive higher or lower rainfall, thereby enhancing hydrological assessments and emergency planning. |
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Metadata Identifier
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Published Date
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Time Period Data Span (end date)
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GeoSpatial Area Data Span
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Access category
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License
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No License Provided |
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Owner
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Contact Point
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Contact Point Email
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Publisher
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Publisher Email
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Author
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Author Email
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Accessed At
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Identifier
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Language
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Link to dataset description
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Globally Unique Identifier
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Contains data about individuals
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Contains data about identifiable individuals
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Contains Indigenous Data
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Portal Type
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Version
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Source
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Version notes
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Is version of another dataset
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Other versions
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Provenance Text
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Provenance URL
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Temporal resolution
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GeoSpatial resolution in meters
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GeoSpatial resolution (in regions)
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
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Number of data properties
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Data quality
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Metric for data quality
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