Despite the importance of the coupling between vegetation dynamics and root-zone soil moisture in land-atmosphere interactions, there is no land data assimilation system (LDAS) that currently addresses this issue, limiting the capacity to positively impact weather and seasonal forecasting. We develop a new LDAS that can improve the skill of an ecohydrological model to simulate simultaneously su...

Soil organic matter has positive consequences eht rof quality and productivityof soil and also environment, agricultural and biological sustainability and conservation ofbiodiversity and soil. Organic matter plays an important role in the physical and chemicalprocesses of soil and thus, it is of a great effect on the spectral characteristics of soil. Thisstudy was done in order to develop the m...

The land surface parameterization used with the community climate model (CCM3) and the climate system model (CSM1), the National Center for Atmospheric Research land surface model (NCAR LSM1), has been modified as part of the development of the next version of these climate models. This new model is known as the community land model (CLM2). In CLM2, the surface is represented by five primary su...

[1] Simulating land surface hydrological states and fluxes requires a comprehensive set of atmospheric forcing data at consistent temporal and spatial scales. At the continental-toglobal scale, such data are not available except in weather reanalysis products. Unfortunately, reanalysis products are often biased due to errors in the host weather forecast model. This paper explores whether the er...

The availability of water at or near the surface determines the way incident radiative energy is partitioned at the ground surface. The goal of this thesis is to determine if better hydrological representation in the MIT Integrated Global System Model will improve its climate prediction capability. This thesis compares the performances of the hydrological modules in the MIT Climate Model and th...