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Assessing the Impact of Light/Shallow Precipitation Retrievals from Satellite-Based Observations Using Surface Radar and Micro Rain Radar Observations The accurate representation of precipitation across the Earth’s surface is crucial to furthering our knowledge and understanding of the Earth System and its component processes. Precipitation poses a number of challenges, particularly due to the variability of precipitation over time and space and whether it falls as snow or rain. While conventional measures of precipitation are reasonably good at the location of their measurement, their distribution across the Earth’s surface is uneven with some regions having no surface measurements. Spaceborne sensors have the capability of providing regular observations across the Earth’s surface that can provide estimates of precipitation. However, the estimation of precipitation from satellite observations is not necessarily straightforward. Visible and/or infrared techniques rely upon imprecise cloud-top to surface precipitation relationships, while the sensitivity of passive microwave techniques to different precipitation types is not consistent. Active microwave (radar) observations provide the most direct satellite measurements of precipitation but cannot provide estimates close to the surface and are generally not sufficiently sensitive to resolve light precipitation. This is particularly problematic at mid to high latitudes, where light and/or shallow precipitation dominates. This paper compares measurements made by ground-based weather radars, Micro Rain Radars and the spaceborne Dual-frequency Precipitation Radar to study both light precipitation intensity and shallow precipitation occurrence and to assess their impact on satellites retrievals of precipitation at the mid to high latitudes.
Document ID
20210015056
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Chris Kidd
(University of Maryland, College Park College Park, Maryland, United States)
Edward Graham
(University of the Highlands and Islands Inverness, United Kingdom)
Tim Smyth
(Plymouth Marine Laboratory Plymouth, United Kingdom)
Michael Gill
(Met Éireann Dublin, Ireland)
Date Acquired
May 4, 2021
Publication Date
April 28, 2021
Publication Information
Publication: Remote Sensing
Publisher: Multidisciplinary Digital Publishing Institute (Switzerland)
Volume: 13
Issue: 9
Issue Publication Date: May 1, 2021
e-ISSN: 2072-4292
Subject Category
Meteorology and Climatology
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNX17AE79A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
External Peer Committee
Keywords
light precipitation
shallow precipitation
rainfall
snowfall
satellite precipitation estimation
micro rain radar
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