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Introducing and Evaluating the Climate Hazards Center IMERG with Stations (CHIMES) Timely Station-Enhanced Integrated Multisatellite Retrievals for Global Precipitation MeasurementAs human exposure to hydroclimatic extremes increase and the number of in situ
precipitation observations declines, precipitation estimates, such as those provided by the Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) mission, provide a critical source of information. Here, we present a new gauge-enhanced dataset [the Climate Hazards Center IMERG with Stations (CHIMES)] designed to support global crop and hydrologic modeling and monitoring. CHIMES enhances the IMERG Late Run product using an updated Climate Hazards Center (CHC) high-resolution climatology (CHPclim) and low-latency rain gauge observations. CHPclim differs from other products because it incorporates long-term averages of satellite precipitation, which increases CHPclim ’s fidelity in data-sparse areas with complex terrain. This fidelity translates into performance increases in unbiased IMERGlate data, which we refer to as CHIME. This is augmented with gauge observations to produce CHIMES. The CHC’s curated rain gauge archive contains valuable contributions from many countries. There are two versions of CHIMES: preliminary and final. The final product has more copious and better-curated station data. Every pentad and month, bias-adjusted IMERGlate fields are combined with gauge observations to create pentadal and monthly CHIMESprelim and CHIMESfinal. Comparisons with pentadal, high-quality gridded station data show that IMERG late performs well (r = 0.75), but has some systematic biases which can be reduced. Monthly cross-validation results indicate that unbiasing increases the variance explained from 50% to 63% and decreases the mean absolute error from 48 to 39 mm month −1. Gauge enhancement then increases the variance explained to 75%, reducing the mean absolute error to 27 mm month −1.
Document ID
20220015100
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Chris C funk
(University of California, Santa Barbara Santa Barbara, California, United States)
Pete Peterson
(University of California, Santa Barbara Santa Barbara, California, United States)
George J Huffman
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Martin Francis Landsfeld
(University of California, Santa Barbara Santa Barbara, California, United States)
Christa Peters-Lidard
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Frank Davenport
(University of California, Santa Barbara Santa Barbara, California, United States)
Shraddhanand Shukla
(University of California, Santa Barbara Santa Barbara, California, United States)
Seth Peterson
(University of California, Santa Barbara Santa Barbara, California, United States)
Diego H Pedreros
(United States Geological Survey Reston, Virginia, United States)
Alex C Ruane
(Columbia University New York, New York, United States)
Carolyn Mutter
(Columbia University New York, New York, United States)
Will Turner
(University of California, Santa Barbara Santa Barbara, California, United States)
Laura Harrison
(University of California, Santa Barbara Santa Barbara, California, United States)
Austin Sonnier
(University of California, Santa Barbara Santa Barbara, California, United States)
Juliet Way-Henthorne
(University of California, Santa Barbara Santa Barbara, California, United States)
Gregory J Husak
(University of California, Santa Barbara Santa Barbara, California, United States)
Date Acquired
October 6, 2022
Publication Date
February 16, 2022
Publication Information
Publication: Bulletin of the American Meteorological Society (BAMS)
Publisher: American Meteorological Society
Volume: 103
Issue: 2
Issue Publication Date: February 1, 2022
ISSN: 0003-0007
e-ISSN: 1520-0477
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 573945
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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