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snippet: (EXERCISE - DaNCE March 2026) (EXERCISE - DaNCE March 2026) GPM IMERG Final Precipitation L3 Daily V07 Accumulation for the Red River Floods May 2022. This data was aggregated and extracted from Earthdata.
summary: (EXERCISE - DaNCE March 2026) (EXERCISE - DaNCE March 2026) GPM IMERG Final Precipitation L3 Daily V07 Accumulation for the Red River Floods May 2022. This data was aggregated and extracted from Earthdata.
extent: [[-82.600003084,33.2],[-75.2999984419999,37.7]]
accessInformation: NASA/GSFC/ESDIS, NASA DRCS
thumbnail: thumbnail/thumbnail.png
maxScale: 1.7976931348623157E308
typeKeywords: ["ArcGIS","ArcGIS Server","Data","Map Service","Service"]
description: <div style='text-align:Left;'><div><div><p><span style='font-weight:bold;'>Dates of Images:</span></p><p><span>September 13, 2018-September 21, 2018</span></p><p><span style='font-weight:bold;'>Summary:</span></p><p><span>GPM IMERG Final Precipitation Rate L3 V07(GPM IMERG Final Precipitation L3 Daily 0.1 degree x 0.1 degree V07 (GPM_3IMERGDF V07))is an image service derived from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) Early dataset.</span></p><p><span>The web service shows total precipitation (mm) for the date range outlined by aggregating 30-minute intervals. This data is shown as cumulative (from start date) and on a daily basis.</span></p><p><span>IMERG is an algorithm that estimates precipitation rate from multiple passive microwave sensors in the GPM constellation, the GPM Dual-Frequency Radar, and infrared (IR) sensors mounted on geostationary satellites. Currently, the near-real-time Early estimates have no concluding calibration. Briefly describing the Early Run, the input precipitation estimates computed from the various satellite passive microwave sensors are intercalibrated to the Combined Radar-Radiometer Algorithm (CORRA) product (because it is presumed to be the best snapshot Tropical Rainfall Measuring Mission (TRMM)/GPM estimate after adjustment to the monthly Global Precipitation Climatology Project Satellite-Gauge (GPCP SG)), then "forward morphed" and combined with microwave precipitation-calibrated geo-IR fields to provide half-hourly precipitation estimates on a 0.1°x0.1° (roughly 10x10 km) grid over the globe. Precipitation phase is computed using analyses of surface temperature, humidity, and pressure.</span></p><p><span style='font-weight:bold;'>Credits:</span></p><p><span>Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2024), GPM IMERG Early Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date], 10.5067/GPM/IMERG/3B-HH-E/07</span></p><p><span style='font-weight:bold;'>Data Access:</span></p><p><span>This data was accessed using NASA Earthdata with a sample URL as follows:https://search.earthdata.nasa.gov/search/granules/collection-details?p=C2723754864-GES_DISC&amp;pg[0][v]=f&amp;pg[0][gsk]=-start_date&amp;q=GPM</span></p><p><span>Dataset at a Glance</span></p><p><span>Shortname: GPM_3IMERGHHL</span></p><p><span>DOI:10.5067/GPM/IMERG/3B-HH-E/07</span></p><p><span>Version: 07</span></p><p><span>Coverage: -180.0,-90.0,180.0,90.0</span></p><p><span>Temporal Coverage: 1998-01-01 to Present</span></p><p><span>Data Resolution</span></p><p><span>Spatial: 0.1 ° x 0.1 °</span></p><p><span>Temporal: 30 minutes</span></p></div></div></div>
licenseInfo: <div style='text-align:Left;'><div><p><span>NASA Earth Science Data and Information Policy</span></p><p><span>We ask that users include the following acknowledgement in written or oral presentations referencing this visualization product:</span></p><p><span>We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Observing System Data and Information System (EOSDIS).</span></p></div></div>
catalogPath:
title: ex2601_gpm
type: Map Service
url:
tags: []
culture: en-US
portalUrl:
name: ex2601_gpm
guid: CC2A4AC3-C057-4CAE-8241-B655D626CCA7
minScale: 0
spatialReference: WGS_1984_Web_Mercator_Auxiliary_Sphere