Validation of the CHIRPS satellite rainfall estimates over eastern Africa

Long and temporally consistent rainfall time series are essential in climate analyses and applications. Rainfall data from station observations are inadequate over many parts of the world due to sparse or non‐existent observation networks, or limited reporting of gauge observations. As a result, sat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Quarterly journal of the Royal Meteorological Society 2018-11, Vol.144 (S1), p.292-312
Hauptverfasser: Dinku, Tufa, Funk, Chris, Peterson, Pete, Maidment, Ross, Tadesse, Tsegaye, Gadain, Hussein, Ceccato, Pietro
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 312
container_issue S1
container_start_page 292
container_title Quarterly journal of the Royal Meteorological Society
container_volume 144
creator Dinku, Tufa
Funk, Chris
Peterson, Pete
Maidment, Ross
Tadesse, Tsegaye
Gadain, Hussein
Ceccato, Pietro
description Long and temporally consistent rainfall time series are essential in climate analyses and applications. Rainfall data from station observations are inadequate over many parts of the world due to sparse or non‐existent observation networks, or limited reporting of gauge observations. As a result, satellite rainfall estimates have been used as an alternative or as a supplement to station observations. However, many satellite‐based rainfall products with long time series suffer from coarse spatial and temporal resolutions and inhomogeneities caused by variations in satellite inputs. There are some satellite rainfall products with reasonably consistent time series, but they are often limited to specific geographic areas. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite‐based rainfall products with relatively high spatial and temporal resolutions and quasi‐global coverage. In this study, CHIRP and CHIRPS were evaluated over East Africa at daily, dekadal (10‐day) and monthly time‐scales. The evaluation was done by comparing the satellite products with rain‐gauge data from about 1,200 stations. The CHIRP and CHIRPS products were also compared with two similar operational satellite rainfall products: the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT). The results show that both CHIRP and CHIRPS products are significantly better than ARC2 with higher skill and low or no bias. These products were also found to be slightly better than the latest version of the TAMSAT product at dekadal and monthly time‐scales, while TAMSAT performed better at the daily time‐scale. The performance of the different satellite products exhibits high spatial variability with weak performances over coastal and mountainous regions. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are evaluated over East Africa by comparing with rain‐gauge data from about 1,200 stations as well as with other similar satellite products (the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT)). The above figure compares the skill (Eff) for different satellite products. The grey scale in the background is elevations in metres.
doi_str_mv 10.1002/qj.3244
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2129790845</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2129790845</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3884-4f23d8c5b1fcbe67805e3c069815446b24f7e4a2d1424d6064ad82be1d5b82d03</originalsourceid><addsrcrecordid>eNp10E1LAzEQBuAgCtYq_oWABw-ydZJNNtljKWorBb_FW8huEsyy7rbJVum_N1qvngaGh5mXF6FTAhMCQC_XzSSnjO2hEWFCZFLA2z4aAeQ8KwHKQ3QUYwMAXFAxQotX3XqjB993uHd4eLd4Nl883j_hqAfbtn6wOGjfOd222MbBf6R1xP2nDdjqONjQ4akLvtbH6CChaE_-5hi9XF89z-bZ8u5mMZsuszqXkmXM0dzImlfE1ZUthARu8xqKUhLOWFFR5oRlmhrCKDMFFEwbSStLDK8kNZCP0dnu7ir0602KpJp-E7r0UlFCS1GCZDyp852qQx9jsE6tQsoetoqA-ulJrRv101OSFzv55Vu7_Y-ph9tf_Q3pVmbP</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2129790845</pqid></control><display><type>article</type><title>Validation of the CHIRPS satellite rainfall estimates over eastern Africa</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Dinku, Tufa ; Funk, Chris ; Peterson, Pete ; Maidment, Ross ; Tadesse, Tsegaye ; Gadain, Hussein ; Ceccato, Pietro</creator><creatorcontrib>Dinku, Tufa ; Funk, Chris ; Peterson, Pete ; Maidment, Ross ; Tadesse, Tsegaye ; Gadain, Hussein ; Ceccato, Pietro</creatorcontrib><description>Long and temporally consistent rainfall time series are essential in climate analyses and applications. Rainfall data from station observations are inadequate over many parts of the world due to sparse or non‐existent observation networks, or limited reporting of gauge observations. As a result, satellite rainfall estimates have been used as an alternative or as a supplement to station observations. However, many satellite‐based rainfall products with long time series suffer from coarse spatial and temporal resolutions and inhomogeneities caused by variations in satellite inputs. There are some satellite rainfall products with reasonably consistent time series, but they are often limited to specific geographic areas. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite‐based rainfall products with relatively high spatial and temporal resolutions and quasi‐global coverage. In this study, CHIRP and CHIRPS were evaluated over East Africa at daily, dekadal (10‐day) and monthly time‐scales. The evaluation was done by comparing the satellite products with rain‐gauge data from about 1,200 stations. The CHIRP and CHIRPS products were also compared with two similar operational satellite rainfall products: the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT). The results show that both CHIRP and CHIRPS products are significantly better than ARC2 with higher skill and low or no bias. These products were also found to be slightly better than the latest version of the TAMSAT product at dekadal and monthly time‐scales, while TAMSAT performed better at the daily time‐scale. The performance of the different satellite products exhibits high spatial variability with weak performances over coastal and mountainous regions. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are evaluated over East Africa by comparing with rain‐gauge data from about 1,200 stations as well as with other similar satellite products (the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT)). The above figure compares the skill (Eff) for different satellite products. The grey scale in the background is elevations in metres.</description><identifier>ISSN: 0035-9009</identifier><identifier>EISSN: 1477-870X</identifier><identifier>DOI: 10.1002/qj.3244</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Climate ; Climatic analysis ; Climatology ; Coastal zone ; Data ; East Africa ; Environmental hazards ; Evaluation ; Hydrologic data ; Meteorological satellites ; Meteorology ; Mountain regions ; Precipitation ; Products ; Rain ; Rain gauges ; Rainfall ; Rainfall climatology ; Rainfall data ; rainfall estimation ; remote sensing ; satellite ; Satellite data ; Satellite observation ; Satellites ; Spatial variability ; Spatial variations ; Time series ; Tropical climate ; validation</subject><ispartof>Quarterly journal of the Royal Meteorological Society, 2018-11, Vol.144 (S1), p.292-312</ispartof><rights>2018 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3884-4f23d8c5b1fcbe67805e3c069815446b24f7e4a2d1424d6064ad82be1d5b82d03</citedby><cites>FETCH-LOGICAL-c3884-4f23d8c5b1fcbe67805e3c069815446b24f7e4a2d1424d6064ad82be1d5b82d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fqj.3244$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fqj.3244$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Dinku, Tufa</creatorcontrib><creatorcontrib>Funk, Chris</creatorcontrib><creatorcontrib>Peterson, Pete</creatorcontrib><creatorcontrib>Maidment, Ross</creatorcontrib><creatorcontrib>Tadesse, Tsegaye</creatorcontrib><creatorcontrib>Gadain, Hussein</creatorcontrib><creatorcontrib>Ceccato, Pietro</creatorcontrib><title>Validation of the CHIRPS satellite rainfall estimates over eastern Africa</title><title>Quarterly journal of the Royal Meteorological Society</title><description>Long and temporally consistent rainfall time series are essential in climate analyses and applications. Rainfall data from station observations are inadequate over many parts of the world due to sparse or non‐existent observation networks, or limited reporting of gauge observations. As a result, satellite rainfall estimates have been used as an alternative or as a supplement to station observations. However, many satellite‐based rainfall products with long time series suffer from coarse spatial and temporal resolutions and inhomogeneities caused by variations in satellite inputs. There are some satellite rainfall products with reasonably consistent time series, but they are often limited to specific geographic areas. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite‐based rainfall products with relatively high spatial and temporal resolutions and quasi‐global coverage. In this study, CHIRP and CHIRPS were evaluated over East Africa at daily, dekadal (10‐day) and monthly time‐scales. The evaluation was done by comparing the satellite products with rain‐gauge data from about 1,200 stations. The CHIRP and CHIRPS products were also compared with two similar operational satellite rainfall products: the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT). The results show that both CHIRP and CHIRPS products are significantly better than ARC2 with higher skill and low or no bias. These products were also found to be slightly better than the latest version of the TAMSAT product at dekadal and monthly time‐scales, while TAMSAT performed better at the daily time‐scale. The performance of the different satellite products exhibits high spatial variability with weak performances over coastal and mountainous regions. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are evaluated over East Africa by comparing with rain‐gauge data from about 1,200 stations as well as with other similar satellite products (the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT)). The above figure compares the skill (Eff) for different satellite products. The grey scale in the background is elevations in metres.</description><subject>Climate</subject><subject>Climatic analysis</subject><subject>Climatology</subject><subject>Coastal zone</subject><subject>Data</subject><subject>East Africa</subject><subject>Environmental hazards</subject><subject>Evaluation</subject><subject>Hydrologic data</subject><subject>Meteorological satellites</subject><subject>Meteorology</subject><subject>Mountain regions</subject><subject>Precipitation</subject><subject>Products</subject><subject>Rain</subject><subject>Rain gauges</subject><subject>Rainfall</subject><subject>Rainfall climatology</subject><subject>Rainfall data</subject><subject>rainfall estimation</subject><subject>remote sensing</subject><subject>satellite</subject><subject>Satellite data</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Time series</subject><subject>Tropical climate</subject><subject>validation</subject><issn>0035-9009</issn><issn>1477-870X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp10E1LAzEQBuAgCtYq_oWABw-ydZJNNtljKWorBb_FW8huEsyy7rbJVum_N1qvngaGh5mXF6FTAhMCQC_XzSSnjO2hEWFCZFLA2z4aAeQ8KwHKQ3QUYwMAXFAxQotX3XqjB993uHd4eLd4Nl883j_hqAfbtn6wOGjfOd222MbBf6R1xP2nDdjqONjQ4akLvtbH6CChaE_-5hi9XF89z-bZ8u5mMZsuszqXkmXM0dzImlfE1ZUthARu8xqKUhLOWFFR5oRlmhrCKDMFFEwbSStLDK8kNZCP0dnu7ir0602KpJp-E7r0UlFCS1GCZDyp852qQx9jsE6tQsoetoqA-ulJrRv101OSFzv55Vu7_Y-ph9tf_Q3pVmbP</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Dinku, Tufa</creator><creator>Funk, Chris</creator><creator>Peterson, Pete</creator><creator>Maidment, Ross</creator><creator>Tadesse, Tsegaye</creator><creator>Gadain, Hussein</creator><creator>Ceccato, Pietro</creator><general>John Wiley &amp; Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>201811</creationdate><title>Validation of the CHIRPS satellite rainfall estimates over eastern Africa</title><author>Dinku, Tufa ; Funk, Chris ; Peterson, Pete ; Maidment, Ross ; Tadesse, Tsegaye ; Gadain, Hussein ; Ceccato, Pietro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3884-4f23d8c5b1fcbe67805e3c069815446b24f7e4a2d1424d6064ad82be1d5b82d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Climate</topic><topic>Climatic analysis</topic><topic>Climatology</topic><topic>Coastal zone</topic><topic>Data</topic><topic>East Africa</topic><topic>Environmental hazards</topic><topic>Evaluation</topic><topic>Hydrologic data</topic><topic>Meteorological satellites</topic><topic>Meteorology</topic><topic>Mountain regions</topic><topic>Precipitation</topic><topic>Products</topic><topic>Rain</topic><topic>Rain gauges</topic><topic>Rainfall</topic><topic>Rainfall climatology</topic><topic>Rainfall data</topic><topic>rainfall estimation</topic><topic>remote sensing</topic><topic>satellite</topic><topic>Satellite data</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Spatial variability</topic><topic>Spatial variations</topic><topic>Time series</topic><topic>Tropical climate</topic><topic>validation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dinku, Tufa</creatorcontrib><creatorcontrib>Funk, Chris</creatorcontrib><creatorcontrib>Peterson, Pete</creatorcontrib><creatorcontrib>Maidment, Ross</creatorcontrib><creatorcontrib>Tadesse, Tsegaye</creatorcontrib><creatorcontrib>Gadain, Hussein</creatorcontrib><creatorcontrib>Ceccato, Pietro</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Quarterly journal of the Royal Meteorological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dinku, Tufa</au><au>Funk, Chris</au><au>Peterson, Pete</au><au>Maidment, Ross</au><au>Tadesse, Tsegaye</au><au>Gadain, Hussein</au><au>Ceccato, Pietro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of the CHIRPS satellite rainfall estimates over eastern Africa</atitle><jtitle>Quarterly journal of the Royal Meteorological Society</jtitle><date>2018-11</date><risdate>2018</risdate><volume>144</volume><issue>S1</issue><spage>292</spage><epage>312</epage><pages>292-312</pages><issn>0035-9009</issn><eissn>1477-870X</eissn><abstract>Long and temporally consistent rainfall time series are essential in climate analyses and applications. Rainfall data from station observations are inadequate over many parts of the world due to sparse or non‐existent observation networks, or limited reporting of gauge observations. As a result, satellite rainfall estimates have been used as an alternative or as a supplement to station observations. However, many satellite‐based rainfall products with long time series suffer from coarse spatial and temporal resolutions and inhomogeneities caused by variations in satellite inputs. There are some satellite rainfall products with reasonably consistent time series, but they are often limited to specific geographic areas. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite‐based rainfall products with relatively high spatial and temporal resolutions and quasi‐global coverage. In this study, CHIRP and CHIRPS were evaluated over East Africa at daily, dekadal (10‐day) and monthly time‐scales. The evaluation was done by comparing the satellite products with rain‐gauge data from about 1,200 stations. The CHIRP and CHIRPS products were also compared with two similar operational satellite rainfall products: the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT). The results show that both CHIRP and CHIRPS products are significantly better than ARC2 with higher skill and low or no bias. These products were also found to be slightly better than the latest version of the TAMSAT product at dekadal and monthly time‐scales, while TAMSAT performed better at the daily time‐scale. The performance of the different satellite products exhibits high spatial variability with weak performances over coastal and mountainous regions. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are evaluated over East Africa by comparing with rain‐gauge data from about 1,200 stations as well as with other similar satellite products (the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT)). The above figure compares the skill (Eff) for different satellite products. The grey scale in the background is elevations in metres.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/qj.3244</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0035-9009
ispartof Quarterly journal of the Royal Meteorological Society, 2018-11, Vol.144 (S1), p.292-312
issn 0035-9009
1477-870X
language eng
recordid cdi_proquest_journals_2129790845
source Wiley Online Library Journals Frontfile Complete
subjects Climate
Climatic analysis
Climatology
Coastal zone
Data
East Africa
Environmental hazards
Evaluation
Hydrologic data
Meteorological satellites
Meteorology
Mountain regions
Precipitation
Products
Rain
Rain gauges
Rainfall
Rainfall climatology
Rainfall data
rainfall estimation
remote sensing
satellite
Satellite data
Satellite observation
Satellites
Spatial variability
Spatial variations
Time series
Tropical climate
validation
title Validation of the CHIRPS satellite rainfall estimates over eastern Africa
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T01%3A05%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Validation%20of%20the%20CHIRPS%20satellite%20rainfall%20estimates%20over%20eastern%20Africa&rft.jtitle=Quarterly%20journal%20of%20the%20Royal%20Meteorological%20Society&rft.au=Dinku,%20Tufa&rft.date=2018-11&rft.volume=144&rft.issue=S1&rft.spage=292&rft.epage=312&rft.pages=292-312&rft.issn=0035-9009&rft.eissn=1477-870X&rft_id=info:doi/10.1002/qj.3244&rft_dat=%3Cproquest_cross%3E2129790845%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2129790845&rft_id=info:pmid/&rfr_iscdi=true