Matches in SemOpenAlex for { <https://semopenalex.org/work/W3033107651> ?p ?o ?g. }
- W3033107651 endingPage "1750" @default.
- W3033107651 startingPage "1750" @default.
- W3033107651 abstract "Satellite remote sensing is a practical technique to estimate global precipitation with adequate spatiotemporal resolution in ungauged regions. However, the performance of satellite-based precipitation products is variable and uncertain for the Tibetan Plateau (TP) because of its complex terrain and climate conditions. In this study, we evaluated the abilities of nine widely used satellite-based precipitation products over the Eastern Tibetan Plateau (ETP) and quantified precipitation dynamics over the entire TP. The evaluation was carried out from three aspects, i.e., magnitude agreement, occurrence consistency, and elevation dependency, from grid-cell to regional scales. The results show that the nine satellite-based products exhibited different agreement with gauge-based reference data with median correlation coefficients ranging from 0.15 to 0.95. Three products (climate hazards group infrared precipitation with stations (CHIRPS), multi-source weighted-ensemble precipitation (MSWEP), and tropical rainfall measuring mission multi-satellite precipitation analysis (TMPA)) generally presented the best performance with the reference data, even in complex terrain regions, given their root mean square errors (RMSE) of less than 25 mm/mon. The climate prediction center merged analysis of precipitation (CMAP) product has relatively coarse spatial resolution, but it also exhibited good performance with a bias of less than 20% in watershed scale. Two other products (precipitation estimation from remotely sensed information using artificial neural networks-cloud classification system (PER-CCS) and climate prediction center morphing technique-raw (CMORPH-RAW)) overestimated precipitation with median RMSEs of 87 mm/mon and 45 mm/mon, respectively. All the precipitation products generally exhibited better agreement with the reference data for rainy season and lower-elevation regions. All of the products captured precipitation occurrence well, with hit event over 60%, and similar percentages of missed and false event. According to the evaluation, the four products (CHIRPS, MSWEP, TMPA, and CMAP) revealed that the annual precipitation over the TP fluctuated between 333 mm/yr and 488 mm/yr during the period 2003 to 2015. The study indicates the importance of integration of multiple data sources and post-processing (e.g., gauge data fusion and elevation correction) for satellite-based products and have implications for selection of suitable precipitation products for hydrological modeling and water resources assessment for the TP." @default.
- W3033107651 created "2020-06-12" @default.
- W3033107651 creator A5011886733 @default.
- W3033107651 creator A5014863773 @default.
- W3033107651 creator A5031890019 @default.
- W3033107651 creator A5049403942 @default.
- W3033107651 creator A5060900719 @default.
- W3033107651 creator A5065963177 @default.
- W3033107651 creator A5066762178 @default.
- W3033107651 date "2020-05-29" @default.
- W3033107651 modified "2023-10-03" @default.
- W3033107651 title "Magnitude Agreement, Occurrence Consistency, and Elevation Dependency of Satellite-Based Precipitation Products over the Tibetan Plateau" @default.
- W3033107651 cites W1526713155 @default.
- W3033107651 cites W1567601857 @default.
- W3033107651 cites W1736532717 @default.
- W3033107651 cites W1948477840 @default.
- W3033107651 cites W1975786666 @default.
- W3033107651 cites W1983011567 @default.
- W3033107651 cites W1986097689 @default.
- W3033107651 cites W1995622703 @default.
- W3033107651 cites W2007492295 @default.
- W3033107651 cites W2008768311 @default.
- W3033107651 cites W2013537840 @default.
- W3033107651 cites W2028081603 @default.
- W3033107651 cites W2028505358 @default.
- W3033107651 cites W2035114567 @default.
- W3033107651 cites W2037093424 @default.
- W3033107651 cites W2060608677 @default.
- W3033107651 cites W2063347054 @default.
- W3033107651 cites W2071455200 @default.
- W3033107651 cites W2087443816 @default.
- W3033107651 cites W2089603617 @default.
- W3033107651 cites W2090010673 @default.
- W3033107651 cites W2090669498 @default.
- W3033107651 cites W2096533595 @default.
- W3033107651 cites W2101394945 @default.
- W3033107651 cites W2109582738 @default.
- W3033107651 cites W2113711674 @default.
- W3033107651 cites W2114643713 @default.
- W3033107651 cites W2129347636 @default.
- W3033107651 cites W2133894646 @default.
- W3033107651 cites W2139998209 @default.
- W3033107651 cites W2142703769 @default.
- W3033107651 cites W2143357393 @default.
- W3033107651 cites W2148265007 @default.
- W3033107651 cites W2148331154 @default.
- W3033107651 cites W2155669479 @default.
- W3033107651 cites W2170280355 @default.
- W3033107651 cites W2172609192 @default.
- W3033107651 cites W2174443773 @default.
- W3033107651 cites W2176956584 @default.
- W3033107651 cites W2261645655 @default.
- W3033107651 cites W2322479742 @default.
- W3033107651 cites W2397311736 @default.
- W3033107651 cites W2419546494 @default.
- W3033107651 cites W2470898428 @default.
- W3033107651 cites W2571971554 @default.
- W3033107651 cites W2755107433 @default.
- W3033107651 cites W2765861156 @default.
- W3033107651 cites W2771159036 @default.
- W3033107651 cites W2773928770 @default.
- W3033107651 cites W2795550267 @default.
- W3033107651 cites W2803343986 @default.
- W3033107651 cites W2888729788 @default.
- W3033107651 cites W2890873664 @default.
- W3033107651 cites W2901679625 @default.
- W3033107651 cites W2903048421 @default.
- W3033107651 cites W2911001330 @default.
- W3033107651 cites W2911629681 @default.
- W3033107651 cites W2911760140 @default.
- W3033107651 cites W3005813145 @default.
- W3033107651 cites W917426581 @default.
- W3033107651 doi "https://doi.org/10.3390/rs12111750" @default.
- W3033107651 hasPublicationYear "2020" @default.
- W3033107651 type Work @default.
- W3033107651 sameAs 3033107651 @default.
- W3033107651 citedByCount "10" @default.
- W3033107651 countsByYear W30331076512020 @default.
- W3033107651 countsByYear W30331076512021 @default.
- W3033107651 countsByYear W30331076512022 @default.
- W3033107651 countsByYear W30331076512023 @default.
- W3033107651 crossrefType "journal-article" @default.
- W3033107651 hasAuthorship W3033107651A5011886733 @default.
- W3033107651 hasAuthorship W3033107651A5014863773 @default.
- W3033107651 hasAuthorship W3033107651A5031890019 @default.
- W3033107651 hasAuthorship W3033107651A5049403942 @default.
- W3033107651 hasAuthorship W3033107651A5060900719 @default.
- W3033107651 hasAuthorship W3033107651A5065963177 @default.
- W3033107651 hasAuthorship W3033107651A5066762178 @default.
- W3033107651 hasBestOaLocation W30331076511 @default.
- W3033107651 hasConcept C107054158 @default.
- W3033107651 hasConcept C127313418 @default.
- W3033107651 hasConcept C127413603 @default.
- W3033107651 hasConcept C134306372 @default.
- W3033107651 hasConcept C146978453 @default.
- W3033107651 hasConcept C153294291 @default.
- W3033107651 hasConcept C161840515 @default.
- W3033107651 hasConcept C19269812 @default.