Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products

The weather and climate over the coastal regions have received increasing attention because of substantial population growth, the rising sea level, and extreme weather. Satellite remote sensing provides global precipitation estimates (including coastal land/ocean). While these datasets have been ext...

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Main Authors: Yike Xu, Jorge Arevalo, Amir Ouyed, Xubin Zeng
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/18/4557
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author Yike Xu
Jorge Arevalo
Amir Ouyed
Xubin Zeng
author_facet Yike Xu
Jorge Arevalo
Amir Ouyed
Xubin Zeng
author_sort Yike Xu
collection DOAJ
description The weather and climate over the coastal regions have received increasing attention because of substantial population growth, the rising sea level, and extreme weather. Satellite remote sensing provides global precipitation estimates (including coastal land/ocean). While these datasets have been extensively evaluated over land, they have rarely been assessed over coastal ocean. As precipitation radars cover both coastal land and ocean, we used the Multi-Radar/Multi-Sensor System (MRMS) gauge-corrected precipitation product from 2018 to 2020 to evaluate three widely used satellite-based precipitation products over the U.S. coastal land versus the ocean (and the water over the Great Lakes). These products included the Integrated Multi-satellite Retrievals for GPM (IMERG), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center Morphing technique (CMORPH). The MRMS data showed a precipitation climatology difference between the coastal land and the ocean that was higher in the winter and lower in the summer and autumn. IMERG and CMORPH performed best over land and water, respectively, while PERSIANN was the most consistent in its performance over land versus water. Heavy precipitation was overestimated by the three products, with larger overestimates over water than over land. These results were not affected by the MRMS uncertainties due to the gauge correction or by the use of different versions.
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spelling doaj.art-6283b9bb31ba40759b8746d0cefb7d392023-11-23T18:44:38ZengMDPI AGRemote Sensing2072-42922022-09-011418455710.3390/rs14184557Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite ProductsYike Xu0Jorge Arevalo1Amir Ouyed2Xubin Zeng3Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USADepartamento de Meteorología, Universidad de Valparaíso, Valparaíso 2360173, ChileDepartment of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USADepartment of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USAThe weather and climate over the coastal regions have received increasing attention because of substantial population growth, the rising sea level, and extreme weather. Satellite remote sensing provides global precipitation estimates (including coastal land/ocean). While these datasets have been extensively evaluated over land, they have rarely been assessed over coastal ocean. As precipitation radars cover both coastal land and ocean, we used the Multi-Radar/Multi-Sensor System (MRMS) gauge-corrected precipitation product from 2018 to 2020 to evaluate three widely used satellite-based precipitation products over the U.S. coastal land versus the ocean (and the water over the Great Lakes). These products included the Integrated Multi-satellite Retrievals for GPM (IMERG), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center Morphing technique (CMORPH). The MRMS data showed a precipitation climatology difference between the coastal land and the ocean that was higher in the winter and lower in the summer and autumn. IMERG and CMORPH performed best over land and water, respectively, while PERSIANN was the most consistent in its performance over land versus water. Heavy precipitation was overestimated by the three products, with larger overestimates over water than over land. These results were not affected by the MRMS uncertainties due to the gauge correction or by the use of different versions.https://www.mdpi.com/2072-4292/14/18/4557coastal precipitationextreme precipitationsatellite precipitation products
spellingShingle Yike Xu
Jorge Arevalo
Amir Ouyed
Xubin Zeng
Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products
Remote Sensing
coastal precipitation
extreme precipitation
satellite precipitation products
title Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products
title_full Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products
title_fullStr Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products
title_full_unstemmed Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products
title_short Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products
title_sort precipitation over the u s coastal land water using gauge corrected multi radar multi sensor system and three satellite products
topic coastal precipitation
extreme precipitation
satellite precipitation products
url https://www.mdpi.com/2072-4292/14/18/4557
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AT jorgearevalo precipitationovertheuscoastallandwaterusinggaugecorrectedmultiradarmultisensorsystemandthreesatelliteproducts
AT amirouyed precipitationovertheuscoastallandwaterusinggaugecorrectedmultiradarmultisensorsystemandthreesatelliteproducts
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