Dr. Wenge Ni-Meister is a Professor of Geography and
Environmental Science at Hunter College of The City University of New York. She
received a B.Sc. and M.Sc. in Meteorology and Climatology in China, a M.Sc. in
Land-Atmosphere Interactions from the University of Connecticut, and a Ph.D. in
Remote Sensing Science of Terrestrial Ecosystem from Boston University. She
worked as a research scientist at the University of Maryland and NASA Goddard
Space Flight Center before joining Hunter College. She has been an investigator
for numerous NASA projects, including one on developing a global dynamic
terrestrial ecosystem model for coupling with Global Circulation Models (GCMs),
a fusion of remotely sensed 3D terrestrial ecosystem structure with a dynamic
global terrestrial ecosystem model for improved estimates of carbon stocks and
land-atmosphere exchanges and one on the fusion of NASA satellite data with
hydrological models for improved land surface soil moisture estimate. Her main
areas of interest are modeling of terrestrial ecosystem dynamics and land-atmosphere
interactions and terrestrial ecosystem structure characterization from lidar
remote sensing for carbon modeling and habitat and biodiversity study, and the
fusion of remote-sensing data and physical models through data assimilation.
Dr. Wenge Ni-Meister is a Professor of Geography and
Environmental Science at Hunter College of The City University of New York. She
received a B.Sc. and M.Sc. in Meteorology and Climatology in China, a M.Sc. in
Land-Atmosphere Interactions from the University of Connecticut, and a Ph.D. in
Remote Sensing Science of Terrestrial Ecosystem from Boston University. She
worked as a research scientist at the University of Maryland and NASA Goddard
Space Flight Center before joining Hunter College. She has been an investigator
for numerous NASA projects, including one on developing a global dynamic
terrestrial ecosystem model for coupling with Global Circulation Models (GCMs),
a fusion of remotely sensed 3D terrestrial ecosystem structure with a dynamic
global terrestrial ecosystem model for improved estimates of carbon stocks and
land-atmosphere exchanges and one on the fusion of NASA satellite data with
hydrological models for improved land surface soil moisture estimate. Her main
areas of interest are modeling of terrestrial ecosystem dynamics and land-atmosphere
interactions and terrestrial ecosystem structure characterization from lidar
remote sensing for carbon modeling and habitat and biodiversity study, and the
fusion of remote-sensing data and physical models through data assimilation.