An Examination of the SMAP Operational Soil Moisture Products Accuracy at the Tibetan Plateau

被引:3
作者
Deng, Khidir Abdalla Kwal [1 ,2 ,3 ]
Petropoulos, George P. [4 ]
Bao, Yansong [1 ,2 ]
Pavlides, Andrew [5 ]
Chaibou, Abdoul Aziz Saidou [6 ]
Habtemicheal, Birhanu Asmerom [7 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing 210044, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing 210044, Peoples R China
[3] Univ Juba, Sch Nat Resources & Environm Studies, POB 82, Juba, South Sudan
[4] Harokopio Univ Athens, Dept Geog, El Venizelou St 70, Athens 17671, Greece
[5] Tech Univ Crete, Sch Mineral Resources Engn, Iraklion 73100, Greece
[6] Univ Abdou Moumouni, Fac Sci & Tech, Dept Phys, BP 10 662, Niamey 8000, Niger
[7] Wollo Univ, Dept Phys, POB 1145, Dessie, Ethiopia
关键词
soil moisture; earth observation; SMAP; surface temperature; validation; Tibetan Plateau; AMSR-E; SMOS; SATELLITE; SURFACE; ASSIMILATION; RETRIEVALS; VALIDATION; NETWORK;
D O I
10.3390/rs14246255
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Surface soil moisture (SSM) plays an essential role in the Earth's water cycle and land surface processes as well as in vegetative growth, ecological health, and ecosystem properties. Particularly, information on this parameter's spatiotemporal variability at the Tibetan Plateau is of key importance to the study of climate and the impact of climate change due to it is distinctive characteristics in this area. The present study assesses the operational SSM products provided by the SMAP (Soil Moisture Active and Passive) satellite at the Tibetan Plateau, Naqu observational station, China. In particular, the globally distributed Level 3 operational products, SPL3SMP_36km and the Enhanced Passive SSM Product SPL3SMP_9km, are evaluated in two-phases. SSM and the surface temperature estimates by SPL3SMP_36km and SPL3SMP_9km are compared against corresponding ground data available at the Naqu observation network. All in all, the examined products captured the SSM dynamics in the studied area. The results showed that precipitation is the key driving source of SSM variability. SSM fluctuated significantly and was dependent on precipitation in the studied region. Statistical metrics, such as the root mean square error (RMSE), varied for SPL3SMP_36km and SPL3SMP_9km in the ranges of 0.036-0.083 m(3)/m(3) and 0.074-0.097 m(3)/m(3), respectively. The unbiased RMSE (ubRMSE) was higher than the SMAP uncertainty limit (0.04 m(3)/m(3)) in most cases. This study establishes some of the causes for the different performances of SMAP products, mainly, the ancillary input dataset parameterizations, and, specifically, the surface temperature parameterization schemes of SMAP retrieval algorithm is analyzed and discussed. Our research findings highlight, among others, the usefulness of those SSM products from SMAP, particularly in mesoscale studies, providing additional useful insights into the use of those products in practice in China and globally.
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页数:19
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