globalchange  > 气候变化与战略
DOI: 10.5194/hess-22-4959-2018
论文题名:
Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
作者: Van Dijk A.I.J.M.; Schellekens J.; Yebra M.; Beck H.E.; Renzullo L.J.; Weerts A.; Donchyts G.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期:9
起始页码: 4959
结束页码: 4980
语种: 英语
Scopus关键词: Evaporation ; Groundwater ; Groundwater resources ; Irrigation ; Mapping ; Surface water resources ; Water supply ; Direct observations ; Hydrological modeling ; Irrigation efficiency ; Irrigation water requirements ; Irrigation water use ; Land surface temperature ; Satellite data assimilation ; Spatial and temporal distribution ; Surface waters
英文摘要: A portion of globally generated surface and groundwater resources evaporates from wetlands, waterbodies and irrigated areas. This secondary evaporation of blue water directly affects the remaining water resources available for ecosystems and human use. At the global scale, a lack of detailed water balance studies and direct observations limits our understanding of the magnitude and spatial and temporal distribution of secondary evaporation. Here, we propose a methodology to assimilate satellite-derived information into the landscape hydrological model W3 at an unprecedented 0.05°, or ca. 5 km resolution globally. The assimilated data are all derived from MODIS observations, including surface water extent, surface albedo, vegetation cover, leaf area index, canopy conductance and land surface temperature (LST). The information from these products is imparted on the model in a simple but efficient manner, through a combination of direct insertion of the surface water extent, an evaporation flux adjustment based on LST and parameter nudging for the other observations. The resulting water balance estimates were evaluated against river basin discharge records and the water balance of closed basins and demonstrably improved water balance estimates compared to ignoring secondary evaporation (e.g., bias improved from +38 to +2 mm yr-1). The evaporation estimates derived from assimilation were combined with global mapping of irrigation crops to derive a minimum estimate of irrigation water requirements (I0), representative of optimal irrigation efficiency. Our I0 estimates were lower than published country-level estimates of irrigation water use produced by alternative estimation methods, for reasons that are discussed. We estimate that 16 % of globally generated water resources evaporate before reaching the oceans, enhancing total terrestrial evaporation by 6.1×1012 m3 yr-1 or 8.8 %. Of this volume, 5 % is evaporated from irrigation areas, 58 % from terrestrial waterbodies and 37 % from other surfaces. Model-data assimilation at even higher spatial resolutions can achieve a further reduction in uncertainty but will require more accurate and detailed mapping of surface water dynamics and areas equipped for irrigation. © 2018 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163188
Appears in Collections:气候变化与战略

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作者单位: Van Dijk, A.I.J.M., Fenner School of Environment and Society, Australian National University, Canberra, ACT, Australia; Schellekens, J., Deltares, Delft, Boussinesqweg 1, HV Delft, 2629, Netherlands, Vandersat B.V., Wilhelminastraat 43a, VK, Haarlem, 2011, Netherlands; Yebra, M., Fenner School of Environment and Society, Australian National University, Canberra, ACT, Australia; Beck, H.E., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; Renzullo, L.J., Fenner School of Environment and Society, Australian National University, Canberra, ACT, Australia; Weerts, A., Deltares, Delft, Boussinesqweg 1, HV Delft, 2629, Netherlands, Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, Netherlands; Donchyts, G., Deltares, Delft, Boussinesqweg 1, HV Delft, 2629, Netherlands

Recommended Citation:
Van Dijk A.I.J.M.,Schellekens J.,Yebra M.,et al. Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation[J]. Hydrology and Earth System Sciences,2018-01-01,22(9)
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