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Research Overview

Research Projects

Land Models

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Research Overview

Global and Regional Climate Modeling focused on the Land-Surface Processes and the Application of Terrestrial Remote Sensing; Interaction of Terrestrial, Radiative and Hydrological Processes with Subgrid Scaling

Dr. Robert E. Dickinson has been contributing to the fields of climate modeling and global change research for over 40 years. Shortly after receiving his Ph.D. in 1966, he joined the staff of NCAR (National Center for Atmospheric Research). In 1975, he became Head of the Climate Section and in 1981, Deputy Director of the Climate and Global Dynamics Division. During 1990-1999, Dr. Dickinson was Regents Professor at the University of Arizona in Tucson, where he held joint appointments in the Department of Atmospheric Sciences, the Institute of Atmospheric Physics, the Department of Hydrology and Water Resources, and the Laboratory of Tree-Ring Research. He has been active in committees, panels, and working groups of the NRC, IGBP, WCRP, and IPCC, and is a member of both the National Academy of Sciences and the National Academy of Engineering. Dr. Dickinson joined the Georgia Tech faculty at the school of Earth and Atmospheric Sciences in September 1999. His current research aims to improve the understanding of global and regional climate and earth system through the modeling of land, vegetation and radiative processes.

Terrestrial processes are an important component of the climate and earth system. Climate can be viewed as a nonlinear dynamical system which generates statistics to be compared with observational statistics. The surface is forced by net radiation balanced by sensible and latent fluxes, and by precipitation balanced by evapotranspiration, soil moisture storage, and runoff. These balances depend on detailed geographic descriptions of parameters which are constrained by satellite remote sensing with consequent substantial improvement in climate models. Some of the parameters, especially those involving vegetation, may be evolved with the climate system. When climate models characterize their radiative processes consistent with the remote sensing algorithms useful for their detection, they become physically more realistic and provide a suitable modeling framework for forward modeling data assimilation. Therefore, radiative connections between canopy and understory surfaces must be included, a connection that requires modifications of the current ways in which remote sensing data is included in models. See Dr. Dickinson's recent book chapter "Application of Terrestrial Remote Sensing to Climate Modeling" for details.

Our group have been focusing on the improvement in the understanding and modeling of terrestrial system by combining model improvement with application of the latest relevant remote sensing products. Because of the interdisciplinary nature of this scientific research area, we actively collaborate with many other scientists and institutions in the US and abroad. In particular, we have strongly participated in the development and applications of the Community Climate System Model (CCSM).

*      Data Assimilation of Terrestrial Remote Sensing

 

*      Land Surface Remote Sensing and Their Application in Climate Models

 

*      Modeling of Vegetated Surface Processes and Climate-Carbon Interactions

 

*      Radiative and Hydrological Atmosphere-Surface Interactions and Their Role in Climate Change

 

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Research Projects

Active Grants

*      Improving the Coupling between Soil Moisture and Precipitation over North America through Integrated Observational and Modeling Approaches, NOAA, 08/01/2007-07/31/2010.

*      Systematic Development of a Sub-grid Scaling Framework to Improve Land Simulation, DOE, 09/01/2007-08/31/2011.

*      The Role of Vegetation, Aerosols and Surface Fluxes for Land-Atmosphere Feedbacks, NSF, 07/01/2007-06/30/2010.

Expired Grants

*      Improving the Processes of Land-Atmosphere Interaction through Higher Resolution and Better Sub-grid Scaling, DOE, 09/01/2004-08/31/2007.

*      Using MODIS Data to Characterize Climate Model Land Surface Processes and the Impacts Of Land Use/Cover Change on Surface Hydrological Processes, NASA,08/15/04-08/14/07.

*      Seasonal and Global Representation of Land Surface Properties from MODIS and other EOS Instruments and their Implications for Application in Climate Models, NASA, 06/01/04-05/31/07.

*      Coupling the Land Surface to Radiative and Hydrological Processes in a Climate Model, NSF, 02/15/04-01/31/07.

*      Response of the Land Climate System to Hydrological and Radiative Forcing, NASA, 01/01/04-12/31/06.

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Land Models

A. The Biosphere-Atmosphere Transfer Scheme (BATS):

*      Documentation

*      Source Code

B. The Common Land Model (CoLM):

*      Summary

*      Users Guide

*      Source Code

*     Raw Surface Data

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Dickinson's Research Group

School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0340

Last Updated: September 2007