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...
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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. |
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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 & 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 & 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 & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & 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 & Sons, Ltd</pub><doi>10.1002/qj.3244</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
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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 |
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