FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912033033> ?p ?o ?g. }

• W2912033033 endingPage "368" @default.
• W2912033033 startingPage "368" @default.
• W2912033033 abstract "Satellite-based precipitation products have been widely used in a variety of fields. However, near real time products still contain substantial biases compared with the ground data. Recent studies showed that surface soil moisture can be utilized in improving rainfall estimation as it reflects recent precipitation. In this study, soil moisture data from Soil Moisture Active Passive (SMAP) satellite and observation-based fitting are used to correct near real time satellite-based precipitation product Global Precipitation Measurement (GPM) in mainland China. The particle filter is adopted to assimilate the SMAP soil moisture into a simple hydrological model, the antecedent precipitation index (API) model; three fitting methods—i.e., linear, nonlinear, and cumulative distribution function (CDF) fitting corrections—both separately and in combination with the SMAP soil moisture data, are then used to correct GPM. The results show that the soil moisture-based correction significantly reduces the root mean square error (RMSE) and mean absolute errors (BIAS) of the original GPM product in most areas of China. The median RMSE value for daily precipitation over China is decreased by approximately 18% from 5.25 mm/day for the GPM estimates to 4.32 mm/day for the soil moisture corrected estimates, and the median BIAS value is decreased by approximately 13% from 2.03 mm/day to 1.76 mm/day. The fitting correction method alone also improves GPM, although to a lesser extent. The best performance is found when the SMAP soil moisture assimilation is combined with the linear fitting of observed precipitation, with a median RMSE of 4.00 mm/day and a BIAS of 1.69 mm/day. Despite significant reductions to the biases of the satellite precipitation product, none of these methods is effective in improving the correlation between the satellite product and observational reference. Leaf area index and the frequency of the SMAP overpasses are among the potential factors influencing the correction effect. This study highlights that combining soil moisture and historical precipitation information can effectively improve satellite-based precipitation products in near real time." @default.
• W2912033033 created "2019-02-21" @default.
• W2912033033 creator A5029133116 @default.
• W2912033033 creator A5066299366 @default.
• W2912033033 creator A5070940162 @default.
• W2912033033 creator A5077748179 @default.
• W2912033033 creator A5078361927 @default.
• W2912033033 date "2019-02-12" @default.
• W2912033033 modified "2023-09-30" @default.
• W2912033033 title "Use of SMAP Soil Moisture and Fitting Methods in Improving GPM Estimation in Near Real Time" @default.
• W2912033033 cites W1496979099 @default.
• W2912033033 cites W1502432503 @default.
• W2912033033 cites W1672537596 @default.
• W2912033033 cites W1786856418 @default.
• W2912033033 cites W1965302626 @default.
• W2912033033 cites W1968781675 @default.
• W2912033033 cites W1978456656 @default.
• W2912033033 cites W1981390730 @default.
• W2912033033 cites W1991589602 @default.
• W2912033033 cites W1995622703 @default.
• W2912033033 cites W1995913774 @default.
• W2912033033 cites W2008820148 @default.
• W2912033033 cites W2008935988 @default.
• W2912033033 cites W2011423033 @default.
• W2912033033 cites W2024417636 @default.
• W2912033033 cites W2024974061 @default.
• W2912033033 cites W2028035370 @default.
• W2912033033 cites W2029291795 @default.
• W2912033033 cites W2034653053 @default.
• W2912033033 cites W2035388338 @default.
• W2912033033 cites W2036133701 @default.
• W2912033033 cites W2050267098 @default.
• W2912033033 cites W2051332113 @default.
• W2912033033 cites W2063998852 @default.
• W2912033033 cites W2071455200 @default.
• W2912033033 cites W2072217863 @default.
• W2912033033 cites W2073298425 @default.
• W2912033033 cites W2084789048 @default.
• W2912033033 cites W2085668392 @default.
• W2912033033 cites W2095680278 @default.
• W2912033033 cites W2097975612 @default.
• W2912033033 cites W2101394945 @default.
• W2912033033 cites W2104217558 @default.
• W2912033033 cites W2110262831 @default.
• W2912033033 cites W2115208153 @default.
• W2912033033 cites W2116149712 @default.
• W2912033033 cites W2118071106 @default.
• W2912033033 cites W2119803205 @default.
• W2912033033 cites W2120321707 @default.
• W2912033033 cites W2138751033 @default.
• W2912033033 cites W2148265007 @default.
• W2912033033 cites W2152012447 @default.
• W2912033033 cites W2157455439 @default.
• W2912033033 cites W2158952405 @default.
• W2912033033 cites W2172609192 @default.
• W2912033033 cites W2177876956 @default.
• W2912033033 cites W2185153088 @default.
• W2912033033 cites W2485493162 @default.
• W2912033033 cites W2509696509 @default.
• W2912033033 cites W2529371834 @default.
• W2912033033 cites W2535512969 @default.
• W2912033033 cites W2575270753 @default.
• W2912033033 cites W2579124758 @default.
• W2912033033 cites W2601662289 @default.
• W2912033033 cites W2601878298 @default.
• W2912033033 cites W2617137945 @default.
• W2912033033 cites W2746987791 @default.
• W2912033033 cites W2776531240 @default.
• W2912033033 cites W2883959092 @default.
• W2912033033 cites W3160528504 @default.
• W2912033033 cites W4243948818 @default.
• W2912033033 doi "https://doi.org/10.3390/rs11030368" @default.
• W2912033033 hasPublicationYear "2019" @default.
• W2912033033 type Work @default.
• W2912033033 sameAs 2912033033 @default.
• W2912033033 citedByCount "11" @default.
• W2912033033 countsByYear W29120330332019 @default.
• W2912033033 countsByYear W29120330332020 @default.
• W2912033033 countsByYear W29120330332021 @default.
• W2912033033 countsByYear W29120330332022 @default.
• W2912033033 countsByYear W29120330332023 @default.
• W2912033033 crossrefType "journal-article" @default.
• W2912033033 hasAuthorship W2912033033A5029133116 @default.
• W2912033033 hasAuthorship W2912033033A5066299366 @default.
• W2912033033 hasAuthorship W2912033033A5070940162 @default.
• W2912033033 hasAuthorship W2912033033A5077748179 @default.
• W2912033033 hasAuthorship W2912033033A5078361927 @default.
• W2912033033 hasBestOaLocation W29120330331 @default.
• W2912033033 hasConcept C105795698 @default.
• W2912033033 hasConcept C107054158 @default.
• W2912033033 hasConcept C127313418 @default.
• W2912033033 hasConcept C127413603 @default.
• W2912033033 hasConcept C139945424 @default.
• W2912033033 hasConcept C146978453 @default.
• W2912033033 hasConcept C153294291 @default.
• W2912033033 hasConcept C159390177 @default.
• W2912033033 hasConcept C176864760 @default.
• W2912033033 hasConcept C187320778 @default.

• next