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EJScreen_Heat_Index (FeatureServer)

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Service Description: Annual Average and Maximum Days over 90 Degrees (2019-2023)

Service ItemId: 01a6ac129aa74a2c809933f31120825b

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: False

All Layers and Tables

Layers:

Description:

This dataset uses daily PRISM climate data (maxT - dry bulb) from 2019-2023 to create average annual and maximum annual days over 90 degrees (F), by census block group. This dataset was developed to provide a community level geospatial layer that communicates relative heat risk (dry bulb--humility is not factored). Daily maximum temperature rasters were taken from PRISM Climate Group. These daily maximum temperatures were converted to binary layers: >=90 degrees (1) and <90 degrees (0). These binary layers were added together and divided by 5 (years) to get an average estimate of days above 90 degrees, as well as a maximum over the 5-year period. Raster data was aggregated into 2022 census block groups using a focal spatial join. This data layer is currently being used in EJScreen.

Extent: CONUS only

Citations:
PRISM Climate Group

PRISM Climate Group, Oregon State University, https://prism.oregonstate.edu, data created 28 Jan 2024, accessed 20 Jan 2024.

Suitability of gridded climate datasets for use in environmental epidemiology
https://www.nature.com/articles/s41370-018-0105-2



Copyright Text: 1.) Alex Hall, US Environmental Protection Agency, Office of Environmental Justice and External Civil Rights. 2.) PRISM Climate Group, Oregon State University, https://prism.oregonstate.edu, data created 28 Jan 2024, accessed 20 Jan 2024.

Spatial Reference: 102100 (3857)

Initial Extent:
Full Extent:
Units: esriMeters

Child Resources:   Info

Supported Operations:   Query   ConvertFormat   Get Estimates   Create Replica