Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale
The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle and climate system. The objective of this study is to evaluate the precipitation-phase partitioning capabilities of remote sensing and reanalysis modeling methods on the global scale. Specifically, observation...
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ftmdpi:oai:mdpi.com:/2073-4441/14/7/1122/ 2023-08-20T04:02:13+02:00 Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale Wentao Xiong Guoqiang Tang Tsechun Wang Ziqiang Ma Wei Wan agris 2022-03-31 application/pdf https://doi.org/10.3390/w14071122 EN eng Multidisciplinary Digital Publishing Institute Hydrology https://dx.doi.org/10.3390/w14071122 https://creativecommons.org/licenses/by/4.0/ Water; Volume 14; Issue 7; Pages: 1122 snowfall precipitation phase temperature NCEP ADP statistical evaluation Text 2022 ftmdpi https://doi.org/10.3390/w14071122 2023-08-01T04:38:09Z The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle and climate system. The objective of this study is to evaluate the precipitation-phase partitioning capabilities of remote sensing and reanalysis modeling methods on the global scale. Specifically, observation data from the National Centers for Environmental Prediction (NCEP) Automated Data Processing (ADP), from 2000 to 2007, are used to evaluate the rain–snow discrimination accuracy of the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) and the fifth-generation reanalysis product of the European Centre for Medium Range Weather Forecasts (ERA5). The results show that: (1) the ERA5 performs better than the IMERG at distinguishing rainfall and snowfall events, overall. (2) The ERA5 has high accuracy in all continents except for South America, while the IMERG performs well only in Antarctica and North America. (3) Compared with the IMERG, the ERA5 can more effectively capture snowfall events at high latitudes but shows worse performance at mid-low latitude regions. Both the IMERG and ERA5 have lower accuracy for rain–snow partitioning under heavy precipitation. Overall, the results of this study provide references for the application and improvement of global rain–snow partitioning products. Text Antarc* Antarctica MDPI Open Access Publishing Water 14 7 1122 |
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MDPI Open Access Publishing |
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language |
English |
topic |
snowfall precipitation phase temperature NCEP ADP statistical evaluation |
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snowfall precipitation phase temperature NCEP ADP statistical evaluation Wentao Xiong Guoqiang Tang Tsechun Wang Ziqiang Ma Wei Wan Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale |
topic_facet |
snowfall precipitation phase temperature NCEP ADP statistical evaluation |
description |
The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle and climate system. The objective of this study is to evaluate the precipitation-phase partitioning capabilities of remote sensing and reanalysis modeling methods on the global scale. Specifically, observation data from the National Centers for Environmental Prediction (NCEP) Automated Data Processing (ADP), from 2000 to 2007, are used to evaluate the rain–snow discrimination accuracy of the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) and the fifth-generation reanalysis product of the European Centre for Medium Range Weather Forecasts (ERA5). The results show that: (1) the ERA5 performs better than the IMERG at distinguishing rainfall and snowfall events, overall. (2) The ERA5 has high accuracy in all continents except for South America, while the IMERG performs well only in Antarctica and North America. (3) Compared with the IMERG, the ERA5 can more effectively capture snowfall events at high latitudes but shows worse performance at mid-low latitude regions. Both the IMERG and ERA5 have lower accuracy for rain–snow partitioning under heavy precipitation. Overall, the results of this study provide references for the application and improvement of global rain–snow partitioning products. |
format |
Text |
author |
Wentao Xiong Guoqiang Tang Tsechun Wang Ziqiang Ma Wei Wan |
author_facet |
Wentao Xiong Guoqiang Tang Tsechun Wang Ziqiang Ma Wei Wan |
author_sort |
Wentao Xiong |
title |
Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale |
title_short |
Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale |
title_full |
Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale |
title_fullStr |
Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale |
title_full_unstemmed |
Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale |
title_sort |
evaluation of imerg and era5 precipitation-phase partitioning on the global scale |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/w14071122 |
op_coverage |
agris |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Water; Volume 14; Issue 7; Pages: 1122 |
op_relation |
Hydrology https://dx.doi.org/10.3390/w14071122 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/w14071122 |
container_title |
Water |
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14 |
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7 |
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1122 |
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1774712595022872576 |