Matches in SemOpenAlex for { <https://semopenalex.org/work/W2141714266> ?p ?o ?g. }
- W2141714266 endingPage "6488" @default.
- W2141714266 startingPage "6454" @default.
- W2141714266 abstract "Mean Annual Precipitation is one of the most important variables used in water resource management. However, quantifying Mean Annual Precipitation at high spatial resolution, needed for advanced hydrological analysis, is challenging in developing countries which often present a sparse gauge network and a highly variable climate. In this work, we present a methodology to quantify Mean Annual Precipitation at 1 km spatial resolution using different precipitation products from satellite estimates and gauge observations at coarse spatial resolution (i.e., ranging from 4 km to 25 km). Examples of this methodology are given for South America and West Africa. We develop a downscaling method that exploits the relationship among satellite-derived rainfall, Digital Elevation Model and Enhanced Vegetation Index. Finally, we validate its performance using rain gauge measurements: comparable annual precipitation estimates for both South America and West Africa are retrieved. Validation indicates that high resolution Mean Annual Precipitation downscaled from CHIRP (Climate Hazards Group Infrared Precipitation) and GPCC (Global Precipitation Climatology Centre) datasets present the best ensemble of performance statistics for both South America and West Africa. Results also highlight the potential of the presented technique to downscale satellite-derived rainfall worldwide." @default.
- W2141714266 created "2016-06-24" @default.
- W2141714266 creator A5003064774 @default.
- W2141714266 creator A5021721126 @default.
- W2141714266 creator A5051734507 @default.
- W2141714266 creator A5052804495 @default.
- W2141714266 date "2015-05-22" @default.
- W2141714266 modified "2023-09-26" @default.
- W2141714266 title "High-Resolution Precipitation Datasets in South America and West Africa based on Satellite-Derived Rainfall, Enhanced Vegetation Index and Digital Elevation Model" @default.
- W2141714266 cites W1491668003 @default.
- W2141714266 cites W1948050917 @default.
- W2141714266 cites W1976462620 @default.
- W2141714266 cites W1983103686 @default.
- W2141714266 cites W1983745221 @default.
- W2141714266 cites W1992561135 @default.
- W2141714266 cites W1995622703 @default.
- W2141714266 cites W1998378660 @default.
- W2141714266 cites W2007300776 @default.
- W2141714266 cites W2007418489 @default.
- W2141714266 cites W2008820148 @default.
- W2141714266 cites W2016295636 @default.
- W2141714266 cites W2029745507 @default.
- W2141714266 cites W2035871099 @default.
- W2141714266 cites W2051462739 @default.
- W2141714266 cites W2052469867 @default.
- W2141714266 cites W2055695879 @default.
- W2141714266 cites W2056301837 @default.
- W2141714266 cites W2064188955 @default.
- W2141714266 cites W2071455200 @default.
- W2141714266 cites W2073298425 @default.
- W2141714266 cites W2084744129 @default.
- W2141714266 cites W2086550657 @default.
- W2141714266 cites W2087463450 @default.
- W2141714266 cites W2091259694 @default.
- W2141714266 cites W2093654206 @default.
- W2141714266 cites W2093675520 @default.
- W2141714266 cites W2101394945 @default.
- W2141714266 cites W2102417376 @default.
- W2141714266 cites W2109785413 @default.
- W2141714266 cites W2113410727 @default.
- W2141714266 cites W2120321707 @default.
- W2141714266 cites W2127170577 @default.
- W2141714266 cites W2133213926 @default.
- W2141714266 cites W2150516764 @default.
- W2141714266 cites W2156599833 @default.
- W2141714266 cites W2162670630 @default.
- W2141714266 cites W2163673570 @default.
- W2141714266 cites W2170280355 @default.
- W2141714266 cites W2171675471 @default.
- W2141714266 cites W2316376490 @default.
- W2141714266 cites W4230846200 @default.
- W2141714266 cites W4376860854 @default.
- W2141714266 doi "https://doi.org/10.3390/rs70506454" @default.
- W2141714266 hasPublicationYear "2015" @default.
- W2141714266 type Work @default.
- W2141714266 sameAs 2141714266 @default.
- W2141714266 citedByCount "40" @default.
- W2141714266 countsByYear W21417142662016 @default.
- W2141714266 countsByYear W21417142662017 @default.
- W2141714266 countsByYear W21417142662018 @default.
- W2141714266 countsByYear W21417142662019 @default.
- W2141714266 countsByYear W21417142662020 @default.
- W2141714266 countsByYear W21417142662021 @default.
- W2141714266 countsByYear W21417142662022 @default.
- W2141714266 countsByYear W21417142662023 @default.
- W2141714266 crossrefType "journal-article" @default.
- W2141714266 hasAuthorship W2141714266A5003064774 @default.
- W2141714266 hasAuthorship W2141714266A5021721126 @default.
- W2141714266 hasAuthorship W2141714266A5051734507 @default.
- W2141714266 hasAuthorship W2141714266A5052804495 @default.
- W2141714266 hasBestOaLocation W21417142661 @default.
- W2141714266 hasConcept C107054158 @default.
- W2141714266 hasConcept C120961793 @default.
- W2141714266 hasConcept C127313418 @default.
- W2141714266 hasConcept C127413603 @default.
- W2141714266 hasConcept C142724271 @default.
- W2141714266 hasConcept C146978453 @default.
- W2141714266 hasConcept C153294291 @default.
- W2141714266 hasConcept C181843262 @default.
- W2141714266 hasConcept C19269812 @default.
- W2141714266 hasConcept C205649164 @default.
- W2141714266 hasConcept C2776133958 @default.
- W2141714266 hasConcept C39432304 @default.
- W2141714266 hasConcept C41156917 @default.
- W2141714266 hasConcept C49204034 @default.
- W2141714266 hasConcept C62649853 @default.
- W2141714266 hasConcept C71924100 @default.
- W2141714266 hasConcept C75398719 @default.
- W2141714266 hasConceptScore W2141714266C107054158 @default.
- W2141714266 hasConceptScore W2141714266C120961793 @default.
- W2141714266 hasConceptScore W2141714266C127313418 @default.
- W2141714266 hasConceptScore W2141714266C127413603 @default.
- W2141714266 hasConceptScore W2141714266C142724271 @default.
- W2141714266 hasConceptScore W2141714266C146978453 @default.
- W2141714266 hasConceptScore W2141714266C153294291 @default.
- W2141714266 hasConceptScore W2141714266C181843262 @default.
- W2141714266 hasConceptScore W2141714266C19269812 @default.
- W2141714266 hasConceptScore W2141714266C205649164 @default.