Japan Geoscience Union Meeting 2019

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-HW Hydrology & Water Environment

[A-HW23] Hydrology & Water Environment

Tue. May 28, 2019 3:30 PM - 5:00 PM 103 (1F)

convener:Isao Machida(Geological Survey of Japan), Dai Yamazaki(Institute of Industrial Sciences, The University of Tokyo), Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Keisuke Fukushi(Institute of Nature & Environmental Technology, Kanazawa University), Chairperson:Megumi Watanabe

3:30 PM - 3:45 PM

[AHW23-06] A review on the global soil property maps for Earth system model

Yongjiu Dai1, *Wei Shangguan1, Dagang Wang2, Nan Wei1, Qinchuan Xin2, Hua Yuan1, Shupeng Zhang1, Shaofeng Liu1, Fapeng Yan3, Xingji Lu1 (1. Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, 2.School of Geography and Planning, Sun Yat-sen University, 3.College of Global Change and Earth System Science, Beijing Normal University)

Keywords:Earth system model, soil hydrology, soil data, pedotransfer function

Soil is an important regulator of Earth system processes, but remains one of the least well-described data layers in Earth System Models (ESMs). We reviewed global soil property maps from the perspective of ESMs, including soil physical and, chemical and biological properties. These soil datasets provide model inputs, initial variables and benchmark datasets. For modeling use, the dataset should be geographically continuous, scalable and with uncertainty estimates. The popular soil datasets used in ESMs are often based on limited soil profiles and coarse resolution soil type maps. Updated and comprehensive soil information needs to be incorporated in ESMs. New generation soil datasets derived by digital soil mapping with abundant, harmonized and quality controlled soil observations and environmental covariates are preferred to those by the taxotransfer rule-based method for ESMs. Because there is no universal pedotransfer function, an ensemble of them may be more suitable to provide derived soil properties to ESMs. Aggregation and upscaling of soil data are needed for model use but can be avoid by taking a subgrid method in ESMs at the cost of increases in model complexity. Uncertainty of soil data needs to be incorporated in ESMs.