Applicability evaluation of five soil texture datasets to surface soil moisture simulations based on IMLDAS
Received date: 2025-03-19
Revised date: 2025-07-01
Online published: 2025-10-22
Soil texture is a key parameter affecting the accuracy of land surface hydrological simulation. Investigating the applicability of different soil textures to soil moisture simulation is an effective approach to improve the precision of regional land surface hydrological simulation and gridded drought and flood monitoring. On the basis of five latest domestic and international soil texture datasets and the Inner Mongolia Land Data Assimilation System (IMLDAS), five soil moisture simulation experiments corresponding to the five soil texture datasets were designed, and five soil moisture simulation datasets were implemented. Using daily surface soil (0-10 cm) moisture observation data from 63 national meteorological stations in the Inner Mongolia Autonomous Region from May to September from 2016 to 2020, the applicability of the five simulated soil moisture datasets was systematically evaluated. The results were as follows: (1) Soil texture datasets of the Food and Agriculture Organization of the United Nations (FAO) and Chinese Academy of Sciences (CAS) differed considerably from those of Beijing Normal University (BNU), Global Soil Dataset for use in Earth System Models (GSDE), and the Second National Soil Survey on China (SNSS) in space. The soil texture datasets of the SNSS, BNU, and GSDE better characterized the higher sand content and lower clay content in the four sandy lands and three desert areas of the Inner Mongolia Autonomous Region. (2) Compared with the observed soil moisture data, the spatial distribution characteristics of soil moisture from northeast to southwest in the Inner Mongolia Autonomous Region was well reproduced by the five soil moisture simulation experiments and the China Meteorological Administration Land Data Assimilation System (CLDAS) simulations of soil moisture, but there was an overestimation among them. Moreover, the trend of observed soil moisture with time was reflected well by all simulations. The soil moisture simulated from the SNSS experiment performed the best in the Inner Mongolia Autonomous Region and its three climatic zones, as it was the most consistent with the observed spatial distribution. (3) The five simulation datasets and CLDAS simulations of soil moisture in the Inner Mongolia Autonomous Region and its three climatic sub-regions had extremely significant temporal correlation with the observed soil moisture. The mean absolute error (MAE) and root mean square error (RMSE) of soil moisture simulated by the FAO and CLDAS were relatively large. Moreover, the MAE, RMSE and Kling-Gupta efficiency coefficient values of soil moisture simulated from the SNSS experiment were the best, followed by those corresponding to the BNU, CAS, and GSDE experiments, which were significantly better than those corresponding to the FAO and CLDAS soil moisture simulations. In conclusion, the SNSS simulation of soil moisture in the Inner Mongolia Autonomous Region and its three climatic sub-regions showed higher accuracy, and the applicability of SNSS soil texture was the best. Notably, the applicability of all simulated soil moisture datasets in the arid area was worse than that in other areas.
Key words： soil texture; soil moisture; applicability; Inner Mongolia
SONG Haiqing , HUANG Yan , SUN Xiaolong . Applicability evaluation of five soil texture datasets to surface soil moisture simulations based on IMLDAS[J]. Arid Zone Research, 2025 , 42(10) : 1813 -1827 . DOI: 10.13866/j.azr.2025.10.06
| [1] | 周广胜, 周梦子, 周莉, 等. 陆-气相互作用研究展望[J]. 地球科学进展, 2024, 39(7): 661-670. |
| [Zhou Guangsheng, Zhou Mengzi, Zhou Li, et al. Prospects for land-atmosphere interaction[J]. Advances in Earth Science, 2024, 39(7): 661-670. ] | |
| [2] | Santanello Jr J A, Dirmeyer P A, Ferguson C R, et al. Land-atmosphere interactions: The LoCo perspective[J]. Bulletin of the American Meteorological Society, 2018, 99(6): 1253-1272. |
| [3] | 林朝晖, 刘辉志, 谢正辉, 等. 陆面水文过程研究进展[J]. 大气科学, 2008, 32(4): 935-949. |
| [Lin Zhaohui, Liu Huizhi, Xie Zhenghui, et al. Recent progress in the land-surface and hydrological process studies[J]. Chinese Journal of Atmospheric Sciences, 2008, 32(4): 935-949. ] | |
| [4] | Chahine T M. The hydrological cycle and its influence on climate[J]. Nature, 1992, 359: 373-380. |
| [5] | Santanello J A, Kumar S V, Peters-Lidard C D, et al. Impact of soil moisture assimilation on land surface model spin-up and coupled land-atmosphere prediction[J]. Journal of Hydrometeorology, 2016, 17(2): 517-540. |
| [6] | Ferguson C R, Agrawal S, Beauharnois M C, et al. Assimilation of satellite-derived soil moisture for improved forecasts of the Great Plains low-level jet[J]. Monthly Weather Review, 2020, 148(11): 4607-4627. |
| [7] | 陈海山, 杜新观, 孙悦. 陆面过程与天气研究[J]. 地学前缘, 2022, 29(5): 382-400. |
| [Chen Haishan, Du Xinguan, Sun Yue. Land surface processes and weather research—a review[J]. Earth Science Frontiers, 2022, 29(5): 382-400. ] | |
| [8] | 薛智暄, 张丽, 王新军, 等. 古尔班通古特沙漠SMAP土壤水分产品降尺度分析[J]. 干旱区研究, 2023, 40(4): 583-593. |
| [Xue Zhixuan, Zhang Li, Wang Xinjun, et al. Downscaling analysis of SMAP soil moisture products in Gurbantunggut Desert[J]. Arid Zone Research, 2023, 40(4): 583-593. ] | |
| [9] | 宋海清, 朱仲元, 李云鹏. 6套格点土壤水分数据集在内蒙古自治区的适用性评价[J]. 水土保持通报, 2022, 41(6): 180-189, 200. |
| [Song Haiqing, Zhu Zhongyuan, Li Yunpeng. Applicability evaluation of six gridded soil moisture datasets in Inner Mongolia Autonomous Region[J]. Bulletin of Soil and Water Conservation, 2022, 41(6): 180-189, 200. ] | |
| [10] | 熊明明, 陈海山, 俞淼. CLM3.0对中国区域陆面过程的模拟试验及评估Ⅱ: 土壤湿度[J]. 气象科学, 2011, 31(1): 1-10. |
| [Xiong Mingming, Chen Haishan, Yu Miao. Simulation of land surface processes over China and its validation. PartⅡ: Soil moisture[J]. Journal of the Meteorological Sciences, 2011, 31(1): 1-10. ] | |
| [11] | Li Mingxing, Ma Zhuguo, Niu Guoyue. Modeling spatial and temporal variations in soil moisture in China[J]. Chinese Science Bulletin, 2011, 56(17): 1809-1820. |
| [12] | 王迪, 沈润平, 师春香, 等. CLM4.5对中国区域夏季土壤湿度的模拟研究[J]. 科学技术与工程, 2015, 15(17): 10-17. |
| [Wang Di, Shen Runping, Shi Chunxiang, et al. Simulation for China’s soil moisture by CLM4.5 in summer season[J]. Science Technology and Engineering, 2015, 15(17): 10-17. ] | |
| [13] | 韩帅, 师春香, 姜立鹏, 等. CLDAS土壤湿度模拟结果及评估[J]. 应用气象学报, 2017, 28(3): 369-378. |
| [Han Shuai, Shi Chunxiang, Jiang Lipeng, et al. The simulation and evaluation of soil moisture based on CLDAS[J]. Journal of Applied Meteorological Science, 2017, 28(3): 369-378. ] | |
| [14] | 师春香, 姜立鹏, 朱智, 等. 基于CLDAS2.0驱动数据的中国区域土壤湿度模拟与评估[J]. 江苏农业科学, 2018, 46(4): 231-236. |
| [Shi Chunxiang, Jiang Lipeng, Zhu Zhi, et al. Simulation and assessment of China’s regional soil moisture based on CLDAS2.0 forcing data[J]. Jiangsu Agricultural Sciences, 2018, 46(4): 231-236. ] | |
| [15] | Xia Y, Ek M B, Wu Y, et al. Comparison of NLDAS-2 simulated and NASMD observed daily soil moisture Part I: Comparison and analysis[J]. Journal of Hydrometeorology, 2015, 16(5): 1962-1980. ] |
| [16] | 吴龙刚, 王爱慧, 盛炎平. 土壤质地对中国区域陆面过程模拟的影响[J]. 气候与环境研究, 2014, 19(5): 559-571. |
| [Wu Longgang, Wang Aihui, Sheng Yanping. Impact of soil texture on the simulation of land surface processes in China[J]. Climatic and Environmental Research, 2014, 19(5): 559-571. ] | |
| [17] | 梁晓, 戴永久. 通用陆面模式对土壤质地和亮度的敏感性分析[J]. 气候与环境研究, 2008, 13(5): 585-597. |
| [Liang Xiao, Dai Yongjiu. A sensitivity study of the common land model on soil texture and soil brightness[J]. Climatic and Environmental Research, 2008, 13(5): 585-597. ] | |
| [18] | 戴秋丹, 郭振海, 王龙欢, 等. CLM4.5模式模拟安徽省淮南山地森林陆气交换过程[J]. 大气科学, 2025, 49(1): 23-37. |
| [Dai Qiudan, Guo Zhenhai, Wang Longhuan, et al. Simulating land and atmosphere exchange processes over a mountainous forest in Huainan of Anhui Province using CLM4.5 model[J]. Chinese Journal of Atmospheric Sciences, 2025, 49(1): 23-37. ] | |
| [19] | 李文耀, 魏楠, 黄丽娜, 等. 土壤数据集对全球陆面过程模拟的影响[J]. 气候与环境研究, 2020, 25(5): 555-574. |
| [Li Wenyao, Wei Nan, Huang Lina, et al. Impact of soil datasets on the global simulation of land surface processes[J]. Climatic and Environmental Research, 2020, 25(5): 555-574. ] | |
| [20] | Lazi? I, Djurdjevi? V, To?i? I, et al. Impact of soil texture in coupled regional climate model on land-atmosphere interactions[J]. Theoretical and Applied Climatology, 2025, 156(165): 1-23. |
| [21] | Livneh B, Kumar R, Samaniego L. Influence of soil textural properties on hydrologic fluxes in the Mississippi River Basin[J]. Hydrological Processes, 2015, 29(21): 4638-4655. |
| [22] | Dy C Y, Fung J C H. Updated global soil map for the weather research and forecasting model and soil moisture initialization for the Noah land surface model[J]. Journal of Geophysical Research: Atmospheres, 2016, 121(15): 8777-8800. |
| [23] | 宋海清, 李云鹏, 师春香, 等. 内蒙古地区下垫面变化对土壤湿度数值模拟的影响[J]. 大气科学, 2016, 40(6): 1165-1181. |
| [Song Haiqing, Li Yunpeng, Shi Chunxiang, et al. Impact of underlying surface change on the numerical simulation of soil moisture in Inner Mongolia of China[J]. Chinese Journal of Atmospheric Sciences, 2016, 40(6): 1165-1181. ] | |
| [24] | 顾润源. 内蒙古自治区天气预报手册[M]. 北京: 气象出版社, 2012. |
| [Gu Runyuan. Inner Mongolia Weather Forecast Manual[M]. Beijing: China Meteorological Press, 2012. ] | |
| [25] | Reynolds C A, Jackson T J, Rawls W J. Estimating soil water-holding capacities by linking the Food and Agriculture Organization soil map of the world with global pedon databases and continuous pedotransfer functions[J]. Water Resources Research, 2000, 36(12): 3653-3662. |
| [26] | Oleson K W, Niu G Y, Yang Z L, et al. Improvements to the community land model and their impact on the hydrological cycle[J]. Journal of Geophysical Research: Biogeosciences, 2008, 113(G01021): 1-26. |
| [27] | Shangguan W, Dai Y, Liu B, et al. A China data set of soil properties for land surface modeling[J]. Journal of Advances in Modeling Earth Systems, 2013, 5(2): 212-224. |
| [28] | Liu F, Wu H, Zhao Y, et al. Mapping high resolution national soil information grids of China[J]. Science Bulletin, 2022, 67(3): 328-340. |
| [29] | Shangguan W, Dai Y, Duan Q, et al. A global soil data set for earth system modeling[J]. Journal of Advances in Modeling Earth Systems, 2014, 6(1): 249-263. |
| [30] | Shangguan W, Dai Y, Liu B, et al. A soil particle-size distribution dataset for regional land and climate modelling in China[J]. Geoderma, 2012, 171: 85-91. |
| [31] | Yang F, Lu H, Yang K, et al. Evaluation and comparison among multiple forcing data sets for precipitation and shortwave radiation over the mainland of China[J]. Hydrology and Earth System Sciences Discussions, 2017, 21(11): 1-32. |
| [32] | 宋海清. 内蒙古中东部草原区土壤水热过程对区域天气的影响研究[D]. 呼和浩特: 内蒙古农业大学, 2021. |
| [Song Haiqing. Effects of Soil Water and Heat Processes on Regional Weather in Central and Eastern Inner Mongolia Grassland[D]. Hohhot: Inner Mongolia Agricultural University, 2021. ] | |
| [33] | He J, Yang K, Tang W, et al. The first high-resolution meteorological forcing dataset for land process studies over China[J]. Scientific Data, 2020, 7(25): 1-11. |
| [34] | 宋海清, 朱仲元, 李云鹏. 陆面同化及再分析降水资料在内蒙古地区的适用性[J]. 干旱区研究, 2021, 38(6): 1624-1636. |
| [Song Haiqing, Zhu Zhongyuan, Li Yunpeng. Validation of land data assimilation and reanalysis precipitation datasets over Inner Mongolia[J]. Arid Zone Research, 2021, 38(6): 1624-1636. ] | |
| [35] | 刘川, 余晔, 解晋, 等. 多套土壤温湿度资料在青藏高原的适用性[J]. 高原气象, 2015, 34(3): 653-665. |
| [Liu Chuan, Yu Ye, Xie Jin, et al. Applicability of soil temperature and moisture in several datasets over Qinghai-Xizang Plateau[J]. Plateau Meteorology, 2015, 34(3): 653-665. ] | |
| [36] | Taylor K E. Summarizing multiple aspects of model performance in a single diagram[J]. Journal of Geophysical Research: Atmospheres, 2001, 106(D7): 7183-7192. |
| [37] | Decker M, Zeng X. Impact of modified Richards equation on global soil moisture simulation in the Community Land Model (CLM3.5)[J]. Journal of Advances in Modeling Earth Systems, 2009, 1(5): 1-22. |
| [38] | 赖欣, 文军, 岑思弦, 等. CLM4.0模式对中国区域土壤湿度的数值模拟及评估研究[J]. 大气科学, 2014, 38(3): 499-512. |
| [Lai Xin, Wen Jun, Cen Sixian, et al. Numerical simulation and evaluation study of soil moisture over China by using CLM4.0 model[J]. Chinese Journal of Atmospheric Sciences, 2014, 38(3): 499-512. ] | |
| [39] | 杨雅青, 张翀, 张婕, 等. 关中地区土壤干湿变化及对气候的响应[J]. 干旱区研究, 2024, 41(2): 261-271. |
| [Yang Yaqing, Zhang Chong, Zhang Jie, et al. Changes in soil moisture and dryness and their response to climate change in the Guanzhong region[J]. Arid Zone Research, 2024, 41(2): 261-271. ] |
/
| 〈 |
|
〉 |