Personal Information

 Professor

Department of  Meteorology

Faculty of Environmental Sciences

Contact Information

Phone: 6952822 Ext. 52822

Email: amashat@kau.edu.sa

Abdul-Wahab S. Mashat

 Professor

Profile

I hold a B. Sc. (1979) in Mathematics from University of Petroleum & Minerals, and M. Sc. (1982) in Atmospheric Sciences from University of Arizona, and Ph. D. (1992) in Meteorology from Texas A&M University.  My research experience was devoted to Dynamic Meteorology, Applied Meteorology, Numerical Modeling, and Remote Sensing.

Education

  • 1974

    High School degree from , King Abdulaziz High School, مكة المكرمة, المملكة العربية السعودية

  • 1979

    Bachelor degree from MathematicsSciences, University of Petroleum & Mine, الظهران, المملكة العربية السعودية

  • 1984

    Master degree from Atmospheric Sciencesعلوم, University of Arizona, توسان, امــريــكـا

  • 1992

    Doctorate degree from MeteorologyGeoSciences, Texas A&M University, كولج استيشن, امــريــكـا

Employment

  • 1979-1992

    Graduate Assistant, King Abdulaziz University, جدة, المملكة العربية السعودية

  • 1992-2004

    Assistance Professor , King Abdulaziz University, جدة, المملكة العربية السعودية

  • 2004-2011

    Asso. Prof., King Abdulaziz University, جدة, المملكة العربية السعودية

  • 2011-حاليا

    Prof., King Abdulaziz University, جدة, المملكة العربية السعودية

Research Interests

Currently interested in research related to: estimating evapotranspiration and surface soil moisture from meteorological data, classification of the surface soil moisture and estimation of land surface temperature using satellite.

Scientific interests

Meteorology- Satellite Meteorology- Weather Prediction

Courses

FIELD TRAINING 300 رصد
JOB TRAINING 400 رصد
REMOTE SENSING FOR PLANET EARTH 411 رصد
ATMOSPHERIC REMOTE SENSING 413 رصد
SATELLITE DATA IN METEOROLOGY 414 رصد
Remote Sensing 413 MET

Areas of expertise

Applied Meteorology, Remote Sensing , Meteorological Instruments, and Numerical Modeling. Currently interested in research related to sand storm, estimating evapotranspiration and surface soil moisture from meteorological date, classification of the surface soil moisture and estimation of land surface temperature using microwave satellite data, numerical modeling and climate of Saudi Arabia.