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DOI10.1029/2019WR025874
Satellite-Based Assessment of Land Surface Energy Partitioning-Soil Moisture Relationships and Effects of Confounding Variables
Feldman, Andrew F.1; Gianotti, Daniel J. Short1; Trigo, Isabel F.2,3; Salvucci, Guido D.4; Entekhabi, Dara1
2019-12-12
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2019
卷号55期号:12页码:10657-10677
文章类型Article
语种英语
国家USA; Portugal
英文摘要

Land surface energetic partitioning between latent, sensible, and ground heat fluxes determines climate and influences the terrestrial segment of land-atmosphere coupling. Soil moisture, among other variables, has a direct influence on this partitioning. Dry surfaces characterize a water-limited regime where evapotranspiration and soil moisture are coupled. This coupling is subdued for wet surfaces, or an energy-limited regime. This framework is commonly evaluated using the evaporative fraction--soil moisture relationship. However, this relationship is explicitly or implicitly prescribed in land surface models. These impositions, in turn, confound model-based evaluations of energetic partitioning--soil moisture relationships. In this study, we use satellite-based observations of surface temperature diurnal amplitude (directly related to available energy partitioning) and soil moisture, free of model impositions, to estimate characteristics of surface energetic partitioning--soil moisture relationships during 10--20-day surface drying periods across Africa. We specifically estimate the spatial patterns of water-limited energy flux sensitivity to soil moisture (m) and the soil moisture threshold separating water and energy-limited regimes (theta*). We also assess how time evolution of other factors (e.g., solar radiation, vapor pressure deficit, surface albedo, and wind speed) can confound the energetic partitioning--soil moisture relationship. We find higher m in drier regions and interestingly similar spatial theta* distributions across biomes. Vapor pressure deficit and insolation increases during drying tend to increase m. Only vapor pressure deficit increases in the Sahelian grasslands systematically decrease theta*. Ultimately, soil and atmospheric moisture availability together play the largest role in land surface energy partitioning with minimal consistent influences of time evolution of other forcings.


英文关键词surface energy partitioning soil moisture surface temperature SMAP SEVIRI
领域资源环境
收录类别SCI-E
WOS记录号WOS:000502267700001
WOS关键词ATMOSPHERE COUPLING EXPERIMENT ; HEAT-FLUX ; PART I ; TEMPERATURE ; WATER ; VEGETATION ; DROUGHT ; FEEDBACK ; DYNAMICS ; IMPACT
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/223977
专题资源环境科学
作者单位1.MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA;
2.Inst Portugues Mar & Atmosfera IP IPMA, Lisbon, Portugal;
3.IDL, Lisbon, Portugal;
4.Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
推荐引用方式
GB/T 7714
Feldman, Andrew F.,Gianotti, Daniel J. Short,Trigo, Isabel F.,et al. Satellite-Based Assessment of Land Surface Energy Partitioning-Soil Moisture Relationships and Effects of Confounding Variables[J]. WATER RESOURCES RESEARCH,2019,55(12):10657-10677.
APA Feldman, Andrew F.,Gianotti, Daniel J. Short,Trigo, Isabel F.,Salvucci, Guido D.,&Entekhabi, Dara.(2019).Satellite-Based Assessment of Land Surface Energy Partitioning-Soil Moisture Relationships and Effects of Confounding Variables.WATER RESOURCES RESEARCH,55(12),10657-10677.
MLA Feldman, Andrew F.,et al."Satellite-Based Assessment of Land Surface Energy Partitioning-Soil Moisture Relationships and Effects of Confounding Variables".WATER RESOURCES RESEARCH 55.12(2019):10657-10677.
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