Oceanic sources of continental precipitation and the correlation with sea surface temperature

被引:98
作者
van der Ent, Rudi J. [1 ]
Savenije, Hubert H. G. [1 ]
机构
[1] Delft Univ Technol, Dept Water Management, Fac Civil Engn & Geosci, NL-2600 GA Delft, Netherlands
关键词
moisture tracking; continental precipitation; oceanic evaporation; ENSO; sea surface temperature; WEST-AFRICAN MONSOON; MOISTURE TRANSPORTS; WATER-RESOURCES; CLIMATE MODEL; LAND; CIRCULATION; TELECONNECTIONS; VARIABILITY; PERFORMANCE; ORIGIN;
D O I
10.1002/wrcr.20296
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Identifying the sources of continental precipitation has received increasing attention in recent years. With the use of various numerical methods, sources of precipitation have been identified from local to global scales. In this paper we identify the oceanic sources based on an atmospheric backtracking analysis of continental precipitation. We find that the strongest source areas are located close to the continents. In general, we define an oceanic area as a significant source when on average more than 20% of the total evaporation, and at least 250 mm/yr of evaporation ends up as continental precipitation. We grouped these identified source areas into 15 regions and performed a forward tracking analysis of oceanic evaporation. We identified the areas on the adjacent continents that receive this oceanic moisture and whether this is nearby or remote. Moreover, we showed how the oceanic sources vary over the year in time and space. Furthermore, we correlated sea surface temperatures (SSTs) in the 15 source regions and the Nino 3.4 region with precipitation on all continents. For South America, we found that the El Nino Southern Oscillation (altering wind patterns) has a larger effect on precipitation than local SSTs. For West Africa, however, we show that SST in the source regions is strongly correlated with precipitation in the rainy season. In Australia, both local SST and the Nino 3.4 region appear to have a big influence on precipitation. As such this research provides new insight in the ocean-atmosphere-land coupling, which can be useful for studying seasonal weather predictions as well as climate change impact.
引用
收藏
页码:3993 / 4004
页数:12
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