Mar 10, 2023 · This study examines the potential for satellite SM assimilation to enhance LSM (Land Surface Model) seasonal dynamics.
Results show that assimilation lowers the dry bias in Noah LSM by up to 6%, which is especially noticeable in the northern regions of the Iya Basin. Comparison ...
Results from our study indicate the potential of assimilation in improving the soil temperature estimates during summer and autumn (September to October).
Results from our study indicate the potential of assimilation in improving the soil temperature estimates during summer and autumn (September to October).
This study examines the potential for satellite SM assimilation to enhance LSM (Land Surface Model) seasonal dynamics.
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Accurate representation of SM over permafrost-affected regions remains challenging. Leveraging blended SM from microwave satellites, this study examines the ...
The transfer of water and energy fluxes between the ground and the atmosphere is influenced by soil moisture (SM), which is an important factor in land surface ...
Leveraging Soil Moisture Assimilation in Permafrost Affected Regions. Ankita Pradhan, A. S. Nair, J. Indu, O. Makarieva, N. Nesterova. 2023, Remote Sensing.
Feb 5, 2020 · Leveraging Soil Moisture Assimilation in Permafrost Affected Regions A. Pradhan et al. 10.3390/rs15061532 · Satellite Constraints on the ...
Knowledge of soil moisture conditions is important for modeling soil temperatures, as soil moisture influences the thermal dynamics in multiple ways.