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Ehsan Forootan

Ehsan Forootan

Tenured Lecturer at Cardiff University

  • Joined: 2016
  • Items posted: 1
  • Profile views: 1559

About

Summary

Increasing global population and potential for global and local hydrological and meteorological changes, e.g., due to the rapid changes in temperature regimes, has led urgency to study the global water cycle. Modern Satellite Geodesy techniques such as the Gravity Recovery And Climate Experience (GRACE), Global Positioning System (GPS), and Satellite Altimetry provide an almost direct measurement of water that is redistributed at or near the surface of the Earth by oceanic and atmospheric circulations and through the terrestrial water cycle. To utilize these observations to address scientific questions, e.g., quantification of ice sheet and glacier melt, changes in ocean circulations, variations of surface and groundwater level and river discharge, glacial isostatic adjustment, mantle convection and tectonics, scientists face with three major problems: 1) Signal/noise separation in measurement systems, 2) Signal/signal separation to identify the source of mass fluxes, and 3) Identifying the drivers of mass changes. My research addresses multi-sensor and mathematical techniques to address these problems.

Positions

Tenured Lecturer Jul 2016 -

Cardiff University

I am tenured lecturer with a research interest in

  • Physical, Mathematical and Satellite Geodesy
  • Remote Sensing of Water Resources
  • Statistical Signal Separation Techniques
  • Data-Model Fusion and Inversion Techniques
  • Neutral Thermospheric Density Changes from Low-Earth-Orbit Satellites

Education

University of Bonn 2009 - 2014

Field of study: Goedesy and Geoinformation
Degree: PhD

PhD in Geodesy, with a thesis entitled Statistical Signal Decomposition Techniques for Analyzing Time-Variable Satellite Gravimetry Data (http://hss.ulb.uni-bonn.de/2014/3766/3766.htm)

Skills

Satellite Gravity data analysis
Altimetry data analysis
Remote Sensing of the Water Cycle
Estimating atmospheric mass variations
Modeling and estimating thermospheric neutral density changes
Signal processing
Inversion techniques
Assimilation techniques

CV

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