IAHS2022-482
https://doi.org/10.5194/iahs2022-482
IAHS-AISH Scientific Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Global downscaling and assimilation of soil moisture

Venkataraman Lakshmi, Bin Fang, and Hyunglok Kim
Venkataraman Lakshmi et al.
  • (vlakshmi@virginia.edu)

There is a requirement of higher spatial resolution of soil moisture as the 9km resolution from SMAP is not adequate. In this work we use MODIS 1km and ECOSTRESS VIIRS 400m vegetation and surface temperature to downscale the SMAP 9km soil moisture to 1km and 400m. We have validated the global 1km soil moisture extensively using global networks. With the CyGNSS and SMAP missions, we have the ability to assimilate sub-daily soil moisture into land surface models. In this talk we will examine the performance of data assimilation of soil moisture using triple colocation.

How to cite: Lakshmi, V., Fang, B., and Kim, H.: Global downscaling and assimilation of soil moisture, IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-482, https://doi.org/10.5194/iahs2022-482, 2022.