Mohammad Saeedi bio photo

Mohammad Saeedi

Hydrological Modeling
SM2RAIN-NWF
Soil Moisture
Rainfall

Email Twitter Google Scholar LinkedIn ResearchGate ORCID

Curriculum Vitae

Curriculum Vitae

My research primarily focused on detecting best-fitting satellite soil moisture products with in situ measurement moisture over the Lake Urmia basin. Then, I toward rainfall estimation using the satellite soil moisture data and generated a new algorithm using a bottom-up approach.
SM2RAIN-NWF: A new algorithm by integrating the SM2RAIN algorithm and the analytical net water flux model
I am currently focusing on improving the quality of the SM2RAIN-NWF algorithm to provide more accurate rainfall, and improve the application of this algorithm in various studies such as drought, runoff, irrigation and etc.

Education

2024 - 2028 University of Virginia, VA, USA
Ph.D. in Civil & Environmental Engineering

Invitation of Joining the Editorial Board/Reviewer

Transactions on Geoscience and Remote Sensing
Science of the Total Environment
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Water Resources Management
International Journal of Climatology
PLOS ONE
American Journal of Remote Sensing