Dynamic Analysis of Soil Temperature and Soil Moisture in the Permafrost Basin of the Qinghai-Tibet Plateau Based on

Satellite and Ground ObservationsYANG Han; XU Ping; CHANG Fu-xuan; HONG Xiao-feng; YUAN Zhe; HE Xiao-bo

doi:10.11988/ckyyb.20220762

PDF(2157 KB)

Journal of Changjiang River Scientific Research Institute ›› 2023, Vol. 40 ›› Issue (4) : 177-184. DOI: 10.11988/ckyyb.20220762

SCIENTIFIC EXPEDITION AND RESEARCH IN THE HEADWATERS OF THE CHANGJIANG RIVER

Dynamic Analysis of Soil Temperature and Soil Moisture in the Permafrost Basin of the Qinghai-Tibet Plateau Based on

Satellite and Ground ObservationsYANG Han^1,2, XU Ping³, CHANG Fu-xuan¹, HONG Xiao-feng¹, YUAN Zhe¹, HE Xiao-bo⁴

Author information +

History +

Abstract

To obtain the dynamic characteristics of soil in typical permafrost basins of the Qinghai-Tibet Plateau, we characterize the spatiotemporal distribution of surface soil temperature and soil moisture in the Tanggula permafrost region based on multi-source remote sensing (SMAP, ESA CCI) monitoring data. We also analyze the changes of soil temperature and soil moisture at different depths based on ground measurement data from Tanggula permafrost meteorological station and DFIR permafrost snow meteorological station. Our results show that soil temperature is higher at lower altitudes than at higher altitudes in the Tanggula permafrost region, and soil moisture is higher in the eastern part of the region than in the western part. Changes in soil temperature and soil moisture lag significantly behind as depth increases, and soil moisture during freezing periods shows a clear two-stage downward trend. SMAP soil temperature and moisture data are well correlated with ground station monitoring data, and SMAP data are more accurate than ESA CCI data.

Key words

permafrost basin / Qinghai-Tibet Plateau / soil temperature and soil moisture / SMAP / ESA CCI

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Satellite and Ground ObservationsYANG Han, XU Ping, CHANG Fu-xuan, HONG Xiao-feng, YUAN Zhe, HE Xiao-bo. Dynamic Analysis of Soil Temperature and Soil Moisture in the Permafrost Basin of the Qinghai-Tibet Plateau Based on[J]. Journal of Changjiang River Scientific Research Institute. 2023, 40(4): 177-184 https://doi.org/10.11988/ckyyb.20220762

References

[1] LI W, GUO W, QIU B, et al. Influence of Tibetan Plateau Snow Cover on East Asian Atmospheric Circulation at Medium-range Time Scales. Nature Communications, 2018, 9(1): 1-9.
[2] WU X, NAN Z, ZHAO S, et al. Spatial Modeling of Permafrost Distribution and Properties on the Qinghai-Tibet Plateau. Permafrost and Periglacial Processes, 2018, 29(2): 86-99.
[3] ZOU D, ZHAO L, SHENG Y, et al. A New Map of Permafrost Distribution on the Tibetan Plateau. The Cryosphere, 2017, 11(6): 2527-2542.
[4] 常福宣,覃自成,程卫帅,等.长江源区典型流域冻土温湿度变化特征及其影响因素分析.水文, 2021, 41(4): 62-68.
[5] 陈家利,郑东海,庞国锦, 等.基于SMAP亮温数据反演青藏高原玛曲区域土壤未冻水.遥感技术与应用, 2020, 35(1): 48-57.
[6] 蒋熹,王宁练,杨胜朋.青藏高原唐古拉山多年冻土区夏、秋季节总辐射和地表反照率特征分析.冰川冻土, 2007, 29(6): 889-899.
[7] WANG J, WANG C, ZHANG H, et al. Small-Baseline Approach for Monitoring the Freezing and Thawing Deformation of Permafrost on the Beiluhe Basin, Tibetan Plateau Using TerraSAR-X and Sentinel-1 Data. Sensors (Basel, Switzerland), Doi: 10.3390/s20164464.
[8] GAO H, ZHANG W, CHEN H. An Improved Algorithm for Discriminating Soil Freezing and Thawing Using AMSR-E and AMSR2 Soil Moisture Products. Remote Sensing, Doi: 10.3390/rs10111697.
[9] GAO H R,ZHANG Z J,ZHANG W C,et al. Spatial Downscaling Based on Spectrum Analysis for Soil Freeze/Thaw Status Retrieved from Passive Microwave. IEEE Transactions on Geoscience and Remote Sensing,2022,60:1-11.
[10] YANG H,XIONG L,LIU D,et al.High Spatial Resolution Simulation of Profile Soil Moisture by Assimilating Multi-source Remote-Sensed Information into a Distributed Hydrological Model.Journal of Hydrology,2021,597:126311.
[11] ENTEKHABI D, NJOKU E G, O'NEILL P E, et al. The Soil Moisture Active Passive (SMAP) Mission. Proceedings of the IEEE, 2010, 98(5): 704-716.
[12] O'NEILL P E,CHAN S, NJOKU E G, et al. SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture, Version 5. Boulder, Colorado: NASA National Snow and Ice Data Center Distributed Active Archive Center, 2021.
[13] CHAN S K, BINDLISH R, O'NEILL P, et al. Development and Assessment of the SMAP Enhanced Passive Soil Moisture Product. Remote Sensing of Environment, 2018, 204: 931-941.
[14] ZENG J,CHEN K S,BI H,et al. A Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over United States and Europe Using Ground-based Measurements. IEEE Transactions on Geoscience and Remote Sensing,2016,54(8):4929-4940.
[15] COLLIANDER A, JACKSON T J, BINDLISH R, et al. Validation of SMAP Surface Soil Moisture Products with Core Validation Sites. Remote Sensing of Environment, 2017, 191: 215-231.
[16] YANG H, XIONG L, MA Q, et al. Utilizing Satellite Surface Soil Moisture Data in Calibrating a Distributed Hydrological Model Applied in Humid Regions Through a Multi-objective Bayesian Hierarchical Framework. Remote Sensing, 2019, 11(11):1335.
[17] SUN Y,HUANG S,MA J,et al. Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using in Situ Data.Remote Sensing,doi:10.3390/rs9030292.
[18] 黄芳芳,马伟强,李茂善,等.藏北高原地表温度对气候变化响应的初步分析.高原气象,2016,35(1):55-63.