Effects of soil‐type datasets on regional terrestrial water cycle simulations under different climatic regimes. Issue 24 (22nd December 2016)

• Record Type: Journal Article
• Authors: Zheng, H.; Yang, Z.‐L.
• Is Part Of: Journal of geophysical research. Volume 121:Issue 24(2016)
• Page Start: 14, 387
• Page End: 14, 402
• Publication Date: 2016-12-22
• Subjects: soil texture type -- aridity -- sensitivity -- soil moisture -- evapotranspiration -- flood; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2016JD025187
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: Hydrological simulations play an important role in estimating terrestrial water budgets and monitoring extreme events such as floods. This study investigates how these simulations are affected by soil‐type datasets and characterizes how these effects vary with climate. We study the differences between two ensemble simulations in China with the Noah‐MP land surface model using two soil datasets from the Food and Agriculture Organization and Beijing Normal University. The differences in ensemble means are analyzed over a 10 year period from 2003 to 2012 with respect to estimated soil moisture, the partition of precipitation between evapotranspiration and runoff, and a flood magnitude index. Results show that the hydrological simulations using sandier soil types result in lower soil moisture, lower evapotranspiration, and higher subsurface runoff. Each of these effects varies uniquely with aridity. The changes in soil moisture decrease with increasing aridity, while the changes in water balance components (evapotranspiration and runoff) peak in the transitional zone between humid and arid regions. The flood magnitude, expressed as the maximum daily flow normalized by annual flow, is also substantially influenced by the input soil type. Soil types with more clay and less sand content yield significantly bigger floods, especially in arid regions. Key Points: The sensitivity of soil moisture and surface water balance to soil type depends on aridity Modeled soil moisture, evapotranspiration, and flood index are most sensitive in humid, transitional, and arid regions, respectively Models with a groundwater component show greater sensitivities to soil type than those without a groundwater component