基于CLM模型的月尺度中亚陆表蒸散和土壤水分模拟估算

doi:10.18306/dlkxjz.2020.03.008

Abstract

Abstract:

There is insufficient study of evapotranspiration (ET) and soil moisture (SM) in arid ecosystems such as the Central Asia. To address this issue, we applied the land surface model (CLM 4.5) to simulate monthly ET and SM in the Central Asia from 1980 to 2009. Other products including GLDAS (Global Land Data Assimilation System), GLEAM (Global Land-surface Evaporation Amsterdam methodology), and AMSR-E (Advanced Microwave Scanning Radiometer for EOS) were used to compare with the simulated results. The comparison indicates that the simulated results agree favorably with other products. Most of the annual evapotranspiration concentrates in spring and summer, reaching its maximum in May. In summer, the high evapotranspiration areas in the Central Asia are concentrated in the northern and northeastern corner of Kazakhstan, and in the southeastern mountainous areas. Vegetation transpiration plays a leading role in the main farmland and forest areas. In spring, the Tianshan Mountains and the Pamir Plateau in the southeast are the high value areas of evapotranspiration, mainly because with the high rainfall and the beginning of snow melting, there is sufficient water for evapotranspiration. The spatial patterns of annual ET and SM in the Central Asia show that the areas with high ET are distributed in the northern and northeastern corner of Kazakhstan and in the southeastern mountainous areas, and the low ET areas are mainly located in Turkmenistan and Uzbekistan, where desert is the main land cover type. The results of simulated surface soil moisture show that in winter, land surface evapotranspiration is low, and precipitation is mostly stored in the surface soil or in snow cover. In spring, air temperature rises, snow melts, and water seeps into the soil. Soil moisture increases continuously, reaching its peak in April. In summer soil moisture continues to decrease, and reaches its lowest value in September. In autumn and winter, evapotranspiration decreases and soil moisture increases. The high value areas of soil moisture in the Central Asia are concentrated in the woodland and farmland areas in the northern and northeastern part, as well as the Amu River and Sir River basins in the Tianshan Mountains and downstream, while the desert areas in the southwest are low value areas. In summer rainfall, evapotranspiration, and soil moisture are low, so the correlation between them is very high; winter precipitaton and soil moisture are highly correlated, especially in barren areas; in the case of high vegetation coverage, spring rainfall and evapotranspiration are highly correlated, and the correlation between soil moisture and rainfall, evapotranspiration is low, and a negative correlation can be observed. Overall, the result of this study will lay foundation for further research on water issues in the Central Asia.

Key words: evapotranspiration, soil moisture, CLM 4.5, the Central Asia

JIANG Bo, TIAN Jing, SU Hongbo. Estimation of monthly evapotranspiration and soil moisture in the Central Asia[J].PROGRESS IN GEOGRAPHY, 2020, 39(3): 433-442.

Figures/Tables 11

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References 25

[1]	马明清, 袁武, 葛全胜 , 等. “一带一路”若干区域社会发展态势大数据分析[J]. 地理科学进展, 2019,38(7):1009-1020.
	[ Ma Mingqing, Yuan Wu, Ge Quansheng , et al. Big data analysis of social development situation in regions along the Belt and Road. Progress in Geography, 2019,38(7):1009-1020. ]
[2]	陈艺文, 李二玲 . “一带一路”国家粮食贸易网络空间格局及其演化机制[J]. 地理科学进展, 2019,38(10):1643-1654.
	[ Chen Yiwen, Li Erling . Spatial pattern and evolution of cereal trade networks among the Belt and Road countries. Progress in Geography, 2019,38(10):1643-1654. ]
[3]	杨胜天, 于心怡, 丁建丽 , 等. 中亚地区水问题研究综述[J]. 地理学报, 2017,72(1):79-93.
	[ Yang Shengtian, Yu Xinyi, Ding Jianli , et al. A review of water issues research in Central Asia. Acta Geographica Sinica, 2017,72(1):79-93. ]
[4]	Li L, Luo G, Chen X , et al. Modelling evapotranspiration in a Central Asian desert ecosystem[J]. Ecological Modelling, 2011,222(20):3680-3691.
[5]	李琴, 陈曦, 包安明 , 等. 基于SEBS模型干旱区蒸散发量研究[J]. 遥感技术与应用, 2014,29(2):195-201.
	[ Li Qin, Chen Xi, Bao Anming , et al. Evapotranspiration estimation in arid areas based on SEBS Model. Remote Sensing Technology and Application, 2014,29(2):195-201. ]
[6]	李超凡, 罗格平, 李均力 , 等. 近20 a中亚净初级生产力与实际蒸散发特征分析[J]. 干旱区地理, 2012,35(6):919-927.
	[ Li Chaofan, Luo Geping, Li Junli , et al. Net primary productivity and actual evapotranspiration of Central Asia in recent 20 years. Arid Zone Research, 2012,35(6):919-927. ]
[7]	张建财, 张丽, 郑艺 , 等. 基于LPJ模型的中亚地区植被净初级生产力与蒸散模拟[J]. 草业科学, 2015,32(11):1721-1729.
	[ Zhang Jiancai, Zhang Li, Zheng Yi , et al. Simulation of vegetation net primary productivity and evapotranspiration based on LPJ model in central Asia. Pratacultural Science, 2015,32(11):1721-1729. ]
[8]	Klein I, Gessner U, Kuenzer C . Regional land cover mapping and change detection in Central Asia using MODIS time-series[J]. Applied Geography, 2012,35(1-2):219-234.
[9]	Iwao K, Nishida K, Kinoshita T , et al. Validating land cover maps with degree confluence project information[J]. Geophysical Research Letters, 2006,33(23):L23404. doi: 10.1029/2006gl027768.
[10]	Dickinson R, Henderson-Sellers A, Kennedy P . Biosphere-Atmosphere Transfer Scheme (BATS) version 1 as coupled to the NCAR community climate model [R]. NCAR Tech Note, No. NCAR/TN387+STR. Boulder, USA: National Center for Atmospheric Research, 1993. doi: 10.5065/D67W6959.
[11]	Dai Y J, Zeng Q C . A land surface model (IAP94) for climate studies part I: Formulation and validation in off-line experiments[J]. Advances in Atmospheric Sciences, 1997,14:433-460. doi: 10.1007/s00376-997-0063-4.
[12]	Bonan G B . A land surface model (LSM Version 1. 0) for ecological, hydrological, and atmospheric studies: Technical description and user's guide, [R]. NCAR Technical Note, No. NCAR/TN-417+STR. Boulder USA: National Center for Atmospheric Research, 1996. doi: 10.5065/D6DF6P5X.
[13]	Lawrence P J, Chase T N . Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0)[J]. Journal of Geophysical Research: Biogeosciences, 2015,112(G1):252-257.
[14]	Lawrence P J, Chase T N . Representing a new MODIS consistent land surface in the community land model (CLM 3.0)[J]. Journal of Geophysical Research, 2007,112(G1):G01023. doi: 10.1029/2006JG000168.
[15]	Martens B, Miralles D G, Lievens H , et al. GLEAM v3: Satellite-based land evaporation and root-zone soil moisture[J]. Geoscientific Model Development, 2017,10(5):1903-1925.
[16]	Martens B, Waegeman W, Dorigo W A , et al. Terrestrial evaporation response to modes of climate variability[J] NPJ Climate and Atmospheric Science, 2018. doi: 10. 1038/s41612-018-0053-5.
[17]	Forzieri G, Alkama R, Miralles D G , et al: Satellites reveal contrasting responses of regional climate to the widespread greening of Earth[J]. Science, 2017,356:6343. doi: 10.1126/science.aal1727.
[18]	Wang W, Cui W, Wang X , et al. Evaluation of GLDAS-1 and GLDAS-2 forcing data and Noah model simulations over China at the monthly scale[J]. Journal of Hydrometeorology, 2016,17(11):2815-2833.
[19]	Detto M, Montaldo N, Albertson J D , et al. Soil moisture and vegetation controls on evapotranspiration in a heterogeneous Mediterranean ecosystem on Sardinia, Italy[J]. Water Resources Research, 2006,42(8):W08419. doi: 10.1029/2005WR004693.
[20]	赖欣, 文军, 岑思弦 , 等. CLM 4.0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 Sixuan . et al. Numerical simulation and evaluation study of soil moisture over China by using CLM 4.0 model. Chinese Journal of Atmospheric Sciences, 2014,38(3):499-512. ]
[21]	孟现勇 . 基于改进的CLDAS驱动CLM 3.5及SWAT模式的陆分量模拟及验证[D]. 乌鲁木齐: 新疆大学, 2016.
	[ Meng Xianyong . Study on land-surface process simulation and validation using CLM 3.5 and SWAT model driven by improved CLDAS. Urumqi, China: Xinjiang University, 2016. ]
[22]	李正泉, 于贵瑞, 温学发 , 等. 中国通量观测网络(ChinaFLUX)能量平衡闭合状况的评价[J]. 中国科学: 地球科学, 2004,34(S2):46-56.
	[ Li Zhengquan, Yu Guirui, Wen Xuefa , et al. Energy balance closure at China FLUX sites. Scientia Sinica Terrae, 2004,34(S2):46-56. ]
[23]	Swenson S, Wahr J . Estimating large-scale precipitation minus evapotranspiration from GRACE satellite gravity measurements[J]. Journal of Hydrometeorology, 2004,7(2):252-269.
[24]	Ahmed M, Sultan M, Yan E , et al. Assessing and improving land surface model outputs over Africa using GRACE, field, and remote sensing data[J]. Surveys in Geophysics, 2016,37(3):529-556.
[25]	Li X, Wang L, Chen D , et al. Seasonal evapotranspiration changes (1983-2006) of four large basins on the Tibetan Plateau[J]. Journal of Geophysical Research Atmospheres, 2015,119(23):13079-13095.

	季节	林地	草地	耕地	裸地
蒸散与降水相关性	春季	0.480	0.790^*	0.640^*	0.900^*
	夏季	0.870^*	0.920^*	0.950^*	0.970^*
	秋季	0.026	0.658^*	0.482	0.773^*
	冬季	-0.230	-0.510	-0.590	0.430
	季节	林地	草地	耕地	裸地
蒸散与土壤水相关性	春季	0.150	0.756^*	0.721^*	0.713^*
	夏季	0.985^*	0.842^*	0.897^*	0.946^*
	秋季	0.558	0.657^*	0.405	0.894^*
	冬季	-0.260	0.130	-0.470	0.450

Estimation of monthly evapotranspiration and soil moisture in the Central Asia

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