Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895847481> ?p ?o ?g. }
- W2895847481 endingPage "1463" @default.
- W2895847481 startingPage "1463" @default.
- W2895847481 abstract "Snow contributes one of the main water sources to runoff in the arid region of China. A clear understanding of the spatiotemporal variation of snowfall is not only required for climate change assessment, but also plays a critical role in water resources management. However, in-situ observations or gridded datasets hardly meet the requirement and cannot provide precise spatiotemporal details on snowfall across the region. This study attempted to apply the Weather Research and Forecasting (WRF) model to clarify the spatiotemporal variation of snowfall and the ratio of snowfall to total precipitation over Xinjiang in China during the 1979–2015 period. The results showed that the snowfall increased in the southern edge of the Tarim Basin, the Ili Valley, and the Altay Mountains, but decreased in the Tianshan Mountains and the Kunlun Mountains. The snowfall/precipitation (S/P) ratio revealed the opposite trends in low-elevation regions and mountains in the study area. The S/P ratio rose in the Tarim Basin and the Junggar Basin, but declined in the Altay Mountains, the Tianshan Mountains, and the west edge of the Junggar Basin. The study area comprises two major rivers in the middle of the Tianshan Mountains. Both the runoff magnitude increase and earlier occurrence of snowmelt recharge in runoff identified for the 1980s were compared with the 2000s level in decreasing S/P ratio regions." @default.
- W2895847481 created "2018-10-26" @default.
- W2895847481 creator A5010129581 @default.
- W2895847481 creator A5014942240 @default.
- W2895847481 creator A5060222171 @default.
- W2895847481 creator A5076661545 @default.
- W2895847481 date "2018-10-17" @default.
- W2895847481 modified "2023-10-18" @default.
- W2895847481 title "Spatiotemporal Variation of Snowfall to Precipitation Ratio and Its Implication on Water Resources by a Regional Climate Model over Xinjiang, China" @default.
- W2895847481 cites W1569109649 @default.
- W2895847481 cites W1590085426 @default.
- W2895847481 cites W1649947482 @default.
- W2895847481 cites W1675512008 @default.
- W2895847481 cites W1824693005 @default.
- W2895847481 cites W1942284720 @default.
- W2895847481 cites W1970250816 @default.
- W2895847481 cites W1971521848 @default.
- W2895847481 cites W1971911655 @default.
- W2895847481 cites W1976703010 @default.
- W2895847481 cites W1983828897 @default.
- W2895847481 cites W1989757627 @default.
- W2895847481 cites W1990151882 @default.
- W2895847481 cites W2001585117 @default.
- W2895847481 cites W2002910992 @default.
- W2895847481 cites W2006058609 @default.
- W2895847481 cites W2008899739 @default.
- W2895847481 cites W2011425404 @default.
- W2895847481 cites W2011628948 @default.
- W2895847481 cites W2023429170 @default.
- W2895847481 cites W2028554047 @default.
- W2895847481 cites W2029707476 @default.
- W2895847481 cites W2031999305 @default.
- W2895847481 cites W2070337735 @default.
- W2895847481 cites W2077771730 @default.
- W2895847481 cites W2081918746 @default.
- W2895847481 cites W2083339292 @default.
- W2895847481 cites W2086393147 @default.
- W2895847481 cites W2090137585 @default.
- W2895847481 cites W2103497845 @default.
- W2895847481 cites W2119007429 @default.
- W2895847481 cites W2122172326 @default.
- W2895847481 cites W2132945047 @default.
- W2895847481 cites W2142416245 @default.
- W2895847481 cites W2142794782 @default.
- W2895847481 cites W2143357393 @default.
- W2895847481 cites W2145724864 @default.
- W2895847481 cites W2158672053 @default.
- W2895847481 cites W2173387551 @default.
- W2895847481 cites W2173515365 @default.
- W2895847481 cites W2174963011 @default.
- W2895847481 cites W2179912439 @default.
- W2895847481 cites W2285042355 @default.
- W2895847481 cites W2400041577 @default.
- W2895847481 cites W2405940831 @default.
- W2895847481 cites W2479462839 @default.
- W2895847481 cites W2509458264 @default.
- W2895847481 cites W2550280811 @default.
- W2895847481 cites W2567592707 @default.
- W2895847481 cites W2597429478 @default.
- W2895847481 cites W2714523956 @default.
- W2895847481 cites W2724457726 @default.
- W2895847481 cites W2771004522 @default.
- W2895847481 cites W2778573305 @default.
- W2895847481 cites W2791711478 @default.
- W2895847481 cites W2801448775 @default.
- W2895847481 cites W2803198792 @default.
- W2895847481 cites W323945199 @default.
- W2895847481 doi "https://doi.org/10.3390/w10101463" @default.
- W2895847481 hasPublicationYear "2018" @default.
- W2895847481 type Work @default.
- W2895847481 sameAs 2895847481 @default.
- W2895847481 citedByCount "16" @default.
- W2895847481 countsByYear W28958474812019 @default.
- W2895847481 countsByYear W28958474812020 @default.
- W2895847481 countsByYear W28958474812021 @default.
- W2895847481 countsByYear W28958474812022 @default.
- W2895847481 crossrefType "journal-article" @default.
- W2895847481 hasAuthorship W2895847481A5010129581 @default.
- W2895847481 hasAuthorship W2895847481A5014942240 @default.
- W2895847481 hasAuthorship W2895847481A5060222171 @default.
- W2895847481 hasAuthorship W2895847481A5076661545 @default.
- W2895847481 hasBestOaLocation W28958474811 @default.
- W2895847481 hasConcept C100970517 @default.
- W2895847481 hasConcept C107054158 @default.
- W2895847481 hasConcept C109007969 @default.
- W2895847481 hasConcept C111368507 @default.
- W2895847481 hasConcept C114793014 @default.
- W2895847481 hasConcept C127313418 @default.
- W2895847481 hasConcept C132651083 @default.
- W2895847481 hasConcept C150772632 @default.
- W2895847481 hasConcept C151730666 @default.
- W2895847481 hasConcept C153294291 @default.
- W2895847481 hasConcept C153823671 @default.
- W2895847481 hasConcept C166957645 @default.
- W2895847481 hasConcept C187320778 @default.
- W2895847481 hasConcept C18903297 @default.
- W2895847481 hasConcept C191935318 @default.
- W2895847481 hasConcept C197046000 @default.