NASA HRAC Project

elevation precipitation satellite imagery

Description

This is a dataset that enhances the TMPA monthly product (3B43) in its accuracy and spatial resolution, in hydrometeorological applications. About 9,200 gauge measurement are used to compare with the 3B43 product at 0.25° x 0.25° spatial resolution across the CONUS. Observed is a strong relationship between the bias and land surface elevation, in which 3B43 underestimates the true precipitation at the elevations above 1,500 m amsl. Satellite data is resampled to elevation data at ~1km grid size and applied a correction function to reduce bias in the data. Accordingly, a High-Resolution Altitude-Corrected product is constructed, based on 3B43 and covering the entire CONUS at 1-km resolution. This product is verified against 9,200 gauges across the country. The results showed a substantial improvement in the satellite-gauge data accuracy as well as spatial resolution.

Data Discovery

Explore this data using NASA's Earthdata Search, a comprehensive tool for discovering and visualizing Earth science datasets.

Data Access

Access requires an Earthdata Login account. Read our guide on obtaining AWS credentials to retrieve this data from AWS.

Update Frequency

Varies by dataset

License

Creative Commons BY 4.0

Documentation

https://disc.gsfc.nasa.gov/datacollection/HRAC_Precip_1.html

Managed By

See all datasets managed by NASA.

Contact

https://earthdata.nasa.gov/contact

How to Cite

NASA HRAC Project was accessed on DATE from https://registry.opendata.aws/nasa-hrac.

Resources on AWS

  • Description
    HRAC_Precip v1 - This is a dataset that enhances the TMPA monthly product (3B43) in its accuracy and spatial resolution, in hydrometeorological applications. About 9,200 gauge measurement are used to compare with the 3B43 product at 0.25° x 0.25° spatial resolution across the CONUS.
    Resource type
    S3 Bucket Controlled Access
    Amazon Resource Name (ARN)
    arn:aws:s3:::gesdisc-cumulus-prod-protected/LEGACY/HRAC_Precip.1
    AWS Region
    us-west-2

Edit this dataset entry on GitHub

Tell us about your project

Home