No Cover Image

Journal article 800 views 260 downloads

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, Luís Romero Barbosa, George J. Huffman, Walt A. Petersen, Cristiano das N. Almeida

Journal of Hydrology, Volume: 589, Start page: 125128

Swansea University Author: Yunqing Xuan Orcid Logo

  • HYDROL35559R1(1).pdf

    PDF | Accepted Manuscript

    © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

    Download (1.12MB)

Check full text

DOI (Published version): 10.1016/j.jhydrol.2020.125128

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...

Full description

Published in: Journal of Hydrology
ISSN: 0022-1694
Published: Elsevier BV 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa54424
first_indexed 2020-06-10T13:08:29Z
last_indexed 2024-11-14T12:06:32Z
id cronfa54424
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-10-11T11:34:06.9169170</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>ACEM</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><journalNumber/><paginationStart>125128</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0022-1694</issnPrint><issnElectronic/><keywords>GPM, Evaluation, Inter-event time, Depth, Intensity, Duration</keywords><publishedDay>1</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-10-01</publishedDate><doi>10.1016/j.jhydrol.2020.125128</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-10-11T11:34:06.9169170</lastEdited><Created>2020-06-10T10:04:53.5328556</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil 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>Lu&#xED;s 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. This manuscript version is made available under the CC-BY-NC-ND 4.0 license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2024-10-11T11:34:06.9169170 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 ACEM 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 125128 Elsevier BV 0022-1694 GPM, Evaluation, Inter-event time, Depth, Intensity, Duration 1 10 2020 2020-10-01 10.1016/j.jhydrol.2020.125128 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2024-10-11T11:34:06.9169170 2020-06-10T10:04:53.5328556 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil 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 Luís 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 true eng 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
Luís Romero Barbosa
George J. Huffman
Walt A. Petersen
Cristiano das N. Almeida
format Journal article
container_title Journal of Hydrology
container_volume 589
container_start_page 125128
publishDate 2020
institution Swansea University
issn 0022-1694
doi_str_mv 10.1016/j.jhydrol.2020.125128
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
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 2020-10-01T14:03:11Z
_version_ 1822139236916133888
score 11.048626

Similar Items