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The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties

Emerson da S. Freitas, Victor Hugo R. Coelho, Yunqing Xuan Orcid Logo, Davi de C.D. Melo, André N. Gadelha, Elias A. Santos, Carlos de O. Galvão, Geraldo M. Ramos Filho, Luis Romero Barbosa, George J. Huffman, Walt A. Petersen, Cristiano das N. Almeida

Journal of Hydrology, Volume: 589

Swansea University Author: Yunqing Xuan Orcid Logo

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Abstract

Sub-daily rainfall information is essential for many hydrological applications, but ground-based data availability is still an issue in poorly gauged regions worldwide. Satellite remote sensing missions, such as the Global Precipitation Measurement (GPM) mission, have been playing a key role in esti...

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Published in: Journal of Hydrology
ISSN: 0022-1694
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa54424
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-10-06T16:53:58.1288739</datestamp><bib-version>v2</bib-version><id>54424</id><entry>2020-06-10</entry><title>The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties</title><swanseaauthors><author><sid>3ece84458da360ff84fa95aa1c0c912b</sid><ORCID>0000-0003-2736-8625</ORCID><firstname>Yunqing</firstname><surname>Xuan</surname><name>Yunqing Xuan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2020-06-10</date><deptcode>CIVL</deptcode><abstract>Sub-daily rainfall information is essential for many hydrological applications, but ground-based data availability is still an issue in poorly gauged regions worldwide. Satellite remote sensing missions, such as the Global Precipitation Measurement (GPM) mission, have been playing a key role in estimating sub-daily rainfall data globally. However, the quality of such information needs to be carefully evaluated. Previous studies evaluating sub-daily data from the Integrated multi-satellitE Retrievals for GPM (IMERG) product considered only the rainfall depth over pre-defined periods (e.g., hourly or half-hourly), with no analysis of the ability and quality of the product in defining the actual rainfall events and the associated properties. Thus, the objective of this study is to evaluate the performance of the IMERG Final Run Version 06B (V06B) product in capturing sub-daily rainfall events and their properties (depth, duration and intensity) over Brazil. The analysis consisted of comparing the satellite estimates against the ground-based data from 1,757 sub-daily rainfall gauges for a period of three years (2015&#x2013;2017). This study used the minimum inter-event time (MIT) criterion to define independent rainfall events determined by dry periods: 1, 6 and 24 hours. Results show that IMERG can properly estimate the sub-daily rainfall depth for the three MITs considered, with the best results found in the southern part of the country. This means that the IMERG product represents a good source of sub-daily rainfall depth data for hydrological and hydroclimatic applications in Brazil. On the other hand, the evaluation shows large overestimations and underestimations of the IMERG product for rainfall duration and intensity properties, respectively. The results obtained from this study provide a reference for IMERG users who require sub-daily rainfall data based on events and further knowledge about its properties.</abstract><type>Journal Article</type><journal>Journal of Hydrology</journal><volume>589</volume><publisher>Elsevier BV</publisher><issnPrint>0022-1694</issnPrint><keywords>GPM, Evaluation, Inter-event time, Depth, Intensity, Duration</keywords><publishedDay>31</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-10-31</publishedDate><doi>10.1016/j.jhydrol.2020.125128</doi><url>http://dx.doi.org/10.1016/j.jhydrol.2020.125128</url><notes/><college>COLLEGE NANME</college><department>Civil Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CIVL</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-10-06T16:53:58.1288739</lastEdited><Created>2020-06-10T10:04:53.5328556</Created><path><level id="1">College of Engineering</level><level id="2">Engineering</level></path><authors><author><firstname>Emerson da S.</firstname><surname>Freitas</surname><order>1</order></author><author><firstname>Victor Hugo R.</firstname><surname>Coelho</surname><order>2</order></author><author><firstname>Yunqing</firstname><surname>Xuan</surname><orcid>0000-0003-2736-8625</orcid><order>3</order></author><author><firstname>Davi de C.D.</firstname><surname>Melo</surname><order>4</order></author><author><firstname>Andr&#xE9; N.</firstname><surname>Gadelha</surname><order>5</order></author><author><firstname>Elias A.</firstname><surname>Santos</surname><order>6</order></author><author><firstname>Carlos de O.</firstname><surname>Galv&#xE3;o</surname><order>7</order></author><author><firstname>Geraldo M. Ramos</firstname><surname>Filho</surname><order>8</order></author><author><firstname>Luis Romero</firstname><surname>Barbosa</surname><order>9</order></author><author><firstname>George J.</firstname><surname>Huffman</surname><order>10</order></author><author><firstname>Walt A.</firstname><surname>Petersen</surname><order>11</order></author><author><firstname>Cristiano das N.</firstname><surname>Almeida</surname><order>12</order></author></authors><documents><document><filename>54424__17454__ffe117c0315a4ab0b00db92b6eb13d92.pdf</filename><originalFilename>HYDROL35559R1(1).pdf</originalFilename><uploaded>2020-06-10T10:06:24.8602257</uploaded><type>Output</type><contentLength>1178799</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2021-06-05T00:00:00.0000000</embargoDate><documentNotes>&#xA9; 2020. 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spelling 2020-10-06T16:53:58.1288739 v2 54424 2020-06-10 The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2020-06-10 CIVL Sub-daily rainfall information is essential for many hydrological applications, but ground-based data availability is still an issue in poorly gauged regions worldwide. Satellite remote sensing missions, such as the Global Precipitation Measurement (GPM) mission, have been playing a key role in estimating sub-daily rainfall data globally. However, the quality of such information needs to be carefully evaluated. Previous studies evaluating sub-daily data from the Integrated multi-satellitE Retrievals for GPM (IMERG) product considered only the rainfall depth over pre-defined periods (e.g., hourly or half-hourly), with no analysis of the ability and quality of the product in defining the actual rainfall events and the associated properties. Thus, the objective of this study is to evaluate the performance of the IMERG Final Run Version 06B (V06B) product in capturing sub-daily rainfall events and their properties (depth, duration and intensity) over Brazil. The analysis consisted of comparing the satellite estimates against the ground-based data from 1,757 sub-daily rainfall gauges for a period of three years (2015–2017). This study used the minimum inter-event time (MIT) criterion to define independent rainfall events determined by dry periods: 1, 6 and 24 hours. Results show that IMERG can properly estimate the sub-daily rainfall depth for the three MITs considered, with the best results found in the southern part of the country. This means that the IMERG product represents a good source of sub-daily rainfall depth data for hydrological and hydroclimatic applications in Brazil. On the other hand, the evaluation shows large overestimations and underestimations of the IMERG product for rainfall duration and intensity properties, respectively. The results obtained from this study provide a reference for IMERG users who require sub-daily rainfall data based on events and further knowledge about its properties. Journal Article Journal of Hydrology 589 Elsevier BV 0022-1694 GPM, Evaluation, Inter-event time, Depth, Intensity, Duration 31 10 2020 2020-10-31 10.1016/j.jhydrol.2020.125128 http://dx.doi.org/10.1016/j.jhydrol.2020.125128 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2020-10-06T16:53:58.1288739 2020-06-10T10:04:53.5328556 College of Engineering Engineering Emerson da S. Freitas 1 Victor Hugo R. Coelho 2 Yunqing Xuan 0000-0003-2736-8625 3 Davi de C.D. Melo 4 André N. Gadelha 5 Elias A. Santos 6 Carlos de O. Galvão 7 Geraldo M. Ramos Filho 8 Luis Romero Barbosa 9 George J. Huffman 10 Walt A. Petersen 11 Cristiano das N. Almeida 12 54424__17454__ffe117c0315a4ab0b00db92b6eb13d92.pdf HYDROL35559R1(1).pdf 2020-06-10T10:06:24.8602257 Output 1178799 application/pdf Accepted Manuscript true 2021-06-05T00:00:00.0000000 © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ false http://creativecommons.org/licenses/by-nc-nd/4.0/
title The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
spellingShingle The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
Yunqing Xuan
title_short The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
title_full The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
title_fullStr The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
title_full_unstemmed The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
title_sort The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties
author_id_str_mv 3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv 3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Yunqing Xuan
author2 Emerson da S. Freitas
Victor Hugo R. Coelho
Yunqing Xuan
Davi de C.D. Melo
André N. Gadelha
Elias A. Santos
Carlos de O. Galvão
Geraldo M. Ramos Filho
Luis Romero Barbosa
George J. Huffman
Walt A. Petersen
Cristiano das N. Almeida
format Journal article
container_title Journal of Hydrology
container_volume 589
publishDate 2020
institution Swansea University
issn 0022-1694
doi_str_mv 10.1016/j.jhydrol.2020.125128
publisher Elsevier BV
college_str College of Engineering
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hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
url http://dx.doi.org/10.1016/j.jhydrol.2020.125128
document_store_str 1
active_str 0
description Sub-daily rainfall information is essential for many hydrological applications, but ground-based data availability is still an issue in poorly gauged regions worldwide. Satellite remote sensing missions, such as the Global Precipitation Measurement (GPM) mission, have been playing a key role in estimating sub-daily rainfall data globally. However, the quality of such information needs to be carefully evaluated. Previous studies evaluating sub-daily data from the Integrated multi-satellitE Retrievals for GPM (IMERG) product considered only the rainfall depth over pre-defined periods (e.g., hourly or half-hourly), with no analysis of the ability and quality of the product in defining the actual rainfall events and the associated properties. Thus, the objective of this study is to evaluate the performance of the IMERG Final Run Version 06B (V06B) product in capturing sub-daily rainfall events and their properties (depth, duration and intensity) over Brazil. The analysis consisted of comparing the satellite estimates against the ground-based data from 1,757 sub-daily rainfall gauges for a period of three years (2015–2017). This study used the minimum inter-event time (MIT) criterion to define independent rainfall events determined by dry periods: 1, 6 and 24 hours. Results show that IMERG can properly estimate the sub-daily rainfall depth for the three MITs considered, with the best results found in the southern part of the country. This means that the IMERG product represents a good source of sub-daily rainfall depth data for hydrological and hydroclimatic applications in Brazil. On the other hand, the evaluation shows large overestimations and underestimations of the IMERG product for rainfall duration and intensity properties, respectively. The results obtained from this study provide a reference for IMERG users who require sub-daily rainfall data based on events and further knowledge about its properties.
published_date 2020-10-31T04:09:02Z
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