Precipitation, Recycling, and Land Memory: An Integrated Analysis

被引:290
作者
Dirmeyer, Paul A. [1 ]
Schlosser, C. Adam [2 ]
Brubaker, Kaye L. [3 ]
机构
[1] Ctr Ocean Land Atmosphere Studies, Calverton, MD 20705 USA
[2] MIT, Joint Program Sci & Policy Global Change, Cambridge, MA 02139 USA
[3] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA
关键词
EVAPORATIVE MOISTURE SOURCES; WARM-SEASON PRECIPITATION; MISSISSIPPI RIVER-BASIN; SOIL-MOISTURE; INTERANNUAL VARIABILITY; WATER-VAPOR; PART II; CLIMATE; SURFACE; SENSITIVITY;
D O I
10.1175/2008JHM1016.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A synthesis of several approaches to quantifying land-atmosphere interactions is presented. These approaches use data from observations or atmospheric reanalyses applied to atmospheric tracer models and stand-alone land surface schemes. None of these approaches relies on the results of general circulation model simulations. A high degree of correlation is found among these independent approaches, and constructed here is a composite assessment of global land-atmosphere feedback strength as a function of season. The composite combines the characteristics of persistence of soil moisture anomalies, strong soil moisture regulation of evaporation rates, and reinforcement of water cycle anomalies through recycling. The regions and seasons that have a strong composite signal predominate in both summer and winter monsoon regions in the period after the rainy season wanes. However, there are exceptions to this pattern, most notably over the Great Plains of North America and the Pampas/Pantanal of South America, where there are signs of land-atmosphere feedback throughout most of the year. Soil moisture memory in many of these regions is long enough to suggest that real-time monitoring and accurate initialization of the land surface in forecast models could lead to improvements in medium-range weather to subseasonal climate forecasts.
引用
收藏
页码:278 / 288
页数:11
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