FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367056899> ?p ?o ?g. }

• W4367056899 endingPage "120005" @default.
• W4367056899 startingPage "120005" @default.
• W4367056899 abstract "Global warming is expected to increase the atmospheric evaporative demand and make more surface water for evapotranspiration, aggerating water sources' social and ecological shortage. Pan evaporation, as a routine observation worldwide, is an excellent metric to indicate the response of terrestrial evaporation to global warming. However, several non-climatic effects, such as instrument upgrades, have destroyed the homogenization of pan evaporation and limited its applications. In China, 2400s meteorological stations have observed daily pan evaporation since 1951. The observed records became discontinuous and inconsistent due to the instrument upgrade from micro-pan D20 to large-pan E601. Here, combining the Penpan model (PM) and random forest model (RFM), we developed a hybrid model to assimilate different types of pan evaporation into a consistent dataset. Based on the cross-validation test, on a daily scale, the hybrid model has a lower bias (RMSE=0.41 mm day−1) and better stability (NSE=0.94) than the two sub-models and the conversion coefficient method. Finally, we produced a homogenized daily dataset of E601 across China from 1961 to 2018. Based on this dataset, we analyzed the long-term trend of pan evaporation. Pan evaporation showed a -1.23±0.57 mm a−2 downward trend from 1961-1993, primarily caused by decreased pan evaporation in warm seasons over North China. After 1993, the pan evaporation in South China increased significantly, resulting in a 1.83±0.87 mm a−2 upward trend across China. With better homogeneity and higher temporal resolution, the new dataset is expected to promote drought monitoring, hydrological modeling, and water resources management. Free access to the dataset can be found at https://figshare.com/s/0cdbd6b1dbf1e22d757e." @default.
• W4367056899 created "2023-04-27" @default.
• W4367056899 creator A5011305303 @default.
• W4367056899 creator A5012734904 @default.
• W4367056899 creator A5037651465 @default.
• W4367056899 creator A5062318007 @default.
• W4367056899 creator A5084970876 @default.
• W4367056899 date "2023-06-01" @default.
• W4367056899 modified "2023-09-29" @default.
• W4367056899 title "Deriving a high-quality daily dataset of large-pan evaporation over China using a hybrid model" @default.
• W4367056899 cites W1847289356 @default.
• W4367056899 cites W1874373428 @default.
• W4367056899 cites W1912201981 @default.
• W4367056899 cites W1964698163 @default.
• W4367056899 cites W1969131839 @default.
• W4367056899 cites W1974194630 @default.
• W4367056899 cites W1985112150 @default.
• W4367056899 cites W1985449277 @default.
• W4367056899 cites W1993525836 @default.
• W4367056899 cites W1994344064 @default.
• W4367056899 cites W1998197711 @default.
• W4367056899 cites W2010876855 @default.
• W4367056899 cites W2017440032 @default.
• W4367056899 cites W2026501537 @default.
• W4367056899 cites W2028908882 @default.
• W4367056899 cites W2033904036 @default.
• W4367056899 cites W2045688746 @default.
• W4367056899 cites W2054655850 @default.
• W4367056899 cites W2055132040 @default.
• W4367056899 cites W2084944700 @default.
• W4367056899 cites W2096440910 @default.
• W4367056899 cites W2097453622 @default.
• W4367056899 cites W2107956574 @default.
• W4367056899 cites W2113455199 @default.
• W4367056899 cites W2127440618 @default.
• W4367056899 cites W2130111434 @default.
• W4367056899 cites W2144224354 @default.
• W4367056899 cites W2146514017 @default.
• W4367056899 cites W2147084061 @default.
• W4367056899 cites W2149670839 @default.
• W4367056899 cites W2158811585 @default.
• W4367056899 cites W2164822039 @default.
• W4367056899 cites W2297608509 @default.
• W4367056899 cites W2326864243 @default.
• W4367056899 cites W2469967825 @default.
• W4367056899 cites W2525028478 @default.
• W4367056899 cites W2548253312 @default.
• W4367056899 cites W2558918493 @default.
• W4367056899 cites W2565639882 @default.
• W4367056899 cites W2607328572 @default.
• W4367056899 cites W2760795129 @default.
• W4367056899 cites W2793506928 @default.
• W4367056899 cites W2800330446 @default.
• W4367056899 cites W2802061438 @default.
• W4367056899 cites W2882203834 @default.
• W4367056899 cites W2893011787 @default.
• W4367056899 cites W2897288582 @default.
• W4367056899 cites W2899788908 @default.
• W4367056899 cites W2909151008 @default.
• W4367056899 cites W2914030698 @default.
• W4367056899 cites W2921790917 @default.
• W4367056899 cites W2941046661 @default.
• W4367056899 cites W2973335017 @default.
• W4367056899 cites W2991192488 @default.
• W4367056899 cites W2997981891 @default.
• W4367056899 cites W3047742518 @default.
• W4367056899 cites W3059277280 @default.
• W4367056899 cites W3091976521 @default.
• W4367056899 cites W3182606464 @default.
• W4367056899 cites W3207483790 @default.
• W4367056899 cites W4213188950 @default.
• W4367056899 cites W4229008008 @default.
• W4367056899 cites W4292548020 @default.
• W4367056899 cites W4310346536 @default.
• W4367056899 cites W836867855 @default.
• W4367056899 cites W2021606203 @default.
• W4367056899 doi "https://doi.org/10.1016/j.watres.2023.120005" @default.
• W4367056899 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37148691" @default.
• W4367056899 hasPublicationYear "2023" @default.
• W4367056899 type Work @default.
• W4367056899 citedByCount "0" @default.
• W4367056899 crossrefType "journal-article" @default.
• W4367056899 hasAuthorship W4367056899A5011305303 @default.
• W4367056899 hasAuthorship W4367056899A5012734904 @default.
• W4367056899 hasAuthorship W4367056899A5037651465 @default.
• W4367056899 hasAuthorship W4367056899A5062318007 @default.
• W4367056899 hasAuthorship W4367056899A5084970876 @default.
• W4367056899 hasConcept C100970517 @default.
• W4367056899 hasConcept C127313418 @default.
• W4367056899 hasConcept C153294291 @default.
• W4367056899 hasConcept C153823671 @default.
• W4367056899 hasConcept C166957645 @default.
• W4367056899 hasConcept C176783924 @default.
• W4367056899 hasConcept C18903297 @default.
• W4367056899 hasConcept C191935318 @default.
• W4367056899 hasConcept C205649164 @default.
• W4367056899 hasConcept C23430798 @default.
• W4367056899 hasConcept C39432304 @default.

• next