Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022747072> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2022747072 endingPage "44" @default.
- W2022747072 startingPage "39" @default.
- W2022747072 abstract "GSMaP_NRT (Near Real Time) is a viable tool to provide satellite-based precipitation data for further analysis. Its usefulness can be evident in the areas where continuous precipitation data is vital. This is why GSMaP_NRT performance has been evaluated globally. In this study, we evaluate its performance in terms of 1) rainfall detection capability based on Probability of Detection (POD) and False Alarm Ratio (FAR) and 2) estimation capability based on correlation coefficient and Root Mean Square Error (RMSE) over the Chaophraya River basin during 2009–2010. A non-realtime GSMaP_MVK (Moving Vector with Kalman filter) is also evaluated. Our results show that, at daily scale, both GSMaP_NRT/GSMaP_MVK performs well in rainy season (POD and FAR can reach 0.75/0.94 and 0.45/0.49, respectively) with acceptable RMSE of 14.64/14.23 mm. GSMaP_NRT tends to under-estimate whereas GSMaP_MVK slightly over-estimates the rain rates with correlation coefficient of 0.70 and 0.75. We conclude that GSMaP_NRT is considered good but not sufficient for near-realtime rainfall monitoring applications; whereas GSMaP_MVK is suitable for climate change studies." @default.
- W2022747072 created "2016-06-24" @default.
- W2022747072 creator A5045734067 @default.
- W2022747072 creator A5057322837 @default.
- W2022747072 creator A5057383533 @default.
- W2022747072 date "2014-01-01" @default.
- W2022747072 modified "2023-10-14" @default.
- W2022747072 title "Performance evaluation of Global Satellite Mapping of Precipitation (GSMaP) products over the Chaophraya River basin, Thailand" @default.
- W2022747072 cites W2089603617 @default.
- W2022747072 cites W2157205359 @default.
- W2022747072 doi "https://doi.org/10.3178/hrl.8.39" @default.
- W2022747072 hasPublicationYear "2014" @default.
- W2022747072 type Work @default.
- W2022747072 sameAs 2022747072 @default.
- W2022747072 citedByCount "16" @default.
- W2022747072 countsByYear W20227470722015 @default.
- W2022747072 countsByYear W20227470722016 @default.
- W2022747072 countsByYear W20227470722017 @default.
- W2022747072 countsByYear W20227470722018 @default.
- W2022747072 countsByYear W20227470722020 @default.
- W2022747072 countsByYear W20227470722021 @default.
- W2022747072 countsByYear W20227470722023 @default.
- W2022747072 crossrefType "journal-article" @default.
- W2022747072 hasAuthorship W2022747072A5045734067 @default.
- W2022747072 hasAuthorship W2022747072A5057322837 @default.
- W2022747072 hasAuthorship W2022747072A5057383533 @default.
- W2022747072 hasBestOaLocation W20227470721 @default.
- W2022747072 hasConcept C105795698 @default.
- W2022747072 hasConcept C107054158 @default.
- W2022747072 hasConcept C127313418 @default.
- W2022747072 hasConcept C127413603 @default.
- W2022747072 hasConcept C139945424 @default.
- W2022747072 hasConcept C146978453 @default.
- W2022747072 hasConcept C153294291 @default.
- W2022747072 hasConcept C19269812 @default.
- W2022747072 hasConcept C205649164 @default.
- W2022747072 hasConcept C2780092901 @default.
- W2022747072 hasConcept C33923547 @default.
- W2022747072 hasConcept C39432304 @default.
- W2022747072 hasConcept C49204034 @default.
- W2022747072 hasConceptScore W2022747072C105795698 @default.
- W2022747072 hasConceptScore W2022747072C107054158 @default.
- W2022747072 hasConceptScore W2022747072C127313418 @default.
- W2022747072 hasConceptScore W2022747072C127413603 @default.
- W2022747072 hasConceptScore W2022747072C139945424 @default.
- W2022747072 hasConceptScore W2022747072C146978453 @default.
- W2022747072 hasConceptScore W2022747072C153294291 @default.
- W2022747072 hasConceptScore W2022747072C19269812 @default.
- W2022747072 hasConceptScore W2022747072C205649164 @default.
- W2022747072 hasConceptScore W2022747072C2780092901 @default.
- W2022747072 hasConceptScore W2022747072C33923547 @default.
- W2022747072 hasConceptScore W2022747072C39432304 @default.
- W2022747072 hasConceptScore W2022747072C49204034 @default.
- W2022747072 hasIssue "1" @default.
- W2022747072 hasLocation W20227470721 @default.
- W2022747072 hasOpenAccess W2022747072 @default.
- W2022747072 hasPrimaryLocation W20227470721 @default.
- W2022747072 hasRelatedWork W1184578989 @default.
- W2022747072 hasRelatedWork W2133686883 @default.
- W2022747072 hasRelatedWork W2161549781 @default.
- W2022747072 hasRelatedWork W2354666346 @default.
- W2022747072 hasRelatedWork W2360521337 @default.
- W2022747072 hasRelatedWork W3099455559 @default.
- W2022747072 hasRelatedWork W4200229308 @default.
- W2022747072 hasRelatedWork W4313255441 @default.
- W2022747072 hasRelatedWork W4361208338 @default.
- W2022747072 hasRelatedWork W4383907499 @default.
- W2022747072 hasVolume "8" @default.
- W2022747072 isParatext "false" @default.
- W2022747072 isRetracted "false" @default.
- W2022747072 magId "2022747072" @default.
- W2022747072 workType "article" @default.