Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025874 |
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 |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
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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