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IMERG V06: Changes to the Morphing AlgorithmAs the US Science Team’s globally gridded precipitation product from the NASA/JAXA Global Precipitation Measurement (GPM) mission, the Integrated Multi-satellitE Retrievals for GPM (IMERG) estimates the surface precipitation rates at 0.1° every half-hour using spaceborne sensors for various scientific and societal applications. One key component of IMERG is the morphing algorithm, which uses motion vectors to perform quasi-Lagrangian interpolation to fill in gaps in the passive microwave precipitation field using motion vectors. Up to IMERG V05, the motion vectors were derived from the large-scale motions of infrared observations of cloud tops. This study details the changes introduced in IMERG V06 to derive motion vectors from large-scale motions of selected atmospheric variables in numerical models, which allow IMERG estimates to be extended from the 60°N/S latitude band to the entire globe. Evaluation against both instantaneous passive microwave retrievals and ground measurements demonstrates the general improvement in the precipitation field of the new approach. Most of the model variables tested exhibited similar performance, but total precipitable water vapor was chosen as the source of the motion vectors for IMERG V06 due to its competitive performance and global completeness. Continuing assessments will provide further insights into possible refinements of this revised morphing scheme in future versions of IMERG.
Document ID
20190032981
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
Jackson Tan
(Universities Space Research Association Columbia, Maryland, United States)
George J Huffman
(Goddard Space Flight Center Greenbelt, Maryland, United States)
David T Bolvin
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Eric J Nelkin
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
November 15, 2019
Publication Date
December 1, 2019
Publication Information
Publication: Journal of Atmospheric and Oceanic Technology
Publisher: American Meteorological Society
Volume: 36
Issue: 12
Issue Publication Date: December 1, 2019
ISSN: 0739-0572
e-ISSN: 1520-0426
URL: https://journals.ametsoc.org/view/journals/atot/36/12/jtech-d-19-0114.1.xml
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN74890
E-ISSN: 1520-0426
Report Number: GSFC-E-DAA-TN74890
ISSN: 0739-0572
Funding Number(s)
CONTRACT_GRANT: NNG17HP01C
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
Single Expert
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