EGU22-12122
https://doi.org/10.5194/egusphere-egu22-12122
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Soil moisture bimodality over Land–Atmosphere hotspot regions at intraseasonal and interannual timescale.

Abhinav Dengri1 and Tomohito Yamada2
Abhinav Dengri and Tomohito Yamada
  • 1Graduate School of Engineering, Field Engineering for the Environment, Hokkaido University, Japan (dengri@elms.hokudai.ac.jp)
  • 2Faculty of Engineering, Hokkaido University, Japan (tomohito@eng.hokudai.ac.jp)

This study examined boreal summer soil moisture using long-term satellite observations to study the bimodal probability distribution function (bimodality) of the surface soil moisture for the land-atmosphere coupling hotspot region, i.e., United States, Sahel and India. Although boreal summer soil moisture bimodality has been detected globally, it has not yet been established how surface soil moisture bimodality is caused. In this comparative multiregional study of surface soil moisture, the object was to classify India, Sahel, and Unites States regions into inter-annual or intra-seasonal soil moisture variation-based soil moisture bimodality. It was found that soil moisture bimodality detection is sensitive to the number of observations and the selected time period window. For northern India, intra-seasonal soil moisture variation dominates for soil moisture bimodality, while in the case of the United States, intra-annual soil moisture variation is dominant. 

How to cite: Dengri, A. and Yamada, T.: Soil moisture bimodality over Land–Atmosphere hotspot regions at intraseasonal and interannual timescale., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12122, https://doi.org/10.5194/egusphere-egu22-12122, 2022.

Displays

Display file