This study highlights the impacts of the surface variability on Land-Atmosphere interactions using multi-scale atmospheric simulations with the Weather Research and Forecasting model capacities, coupled with NOAH land surface model and Kusaka et al. (2001) urban canopy model. The 30-m resolution numerical datasets for land-use and topography are respectively given by National Land-Cover Dataset...

Drought events develop in both space and time and they are therefore best described through summary joint spatio-temporal characteristics, such as mean duration, mean affected area and total magnitude. This paper addresses the issue of future projections of such characteristics of drought events over France through three main research questions: (1) Are downscaled climate projections able to si...

Land-surface processes are one of the important drivers for weather and climate systems over the tropics. Realistic representation of land surface processes in mesoscale models over the region will help accurate simulation of numerical forecasts. The present study examines the influence of Land Use/ Land Cover Change (LULC) on the forecasting of cyclone intensity and track prediction using Meso...

Climate involves a complex interplay of physical, chemical and biological processes of the atmosphere, ocean, sea-ice and land surface. It is now well understood that although detailed weather fluctuations can not be predicted beyond a certain time period, it is possible to predict several space-time averaged processes of atmosphere, land, ocean and sea-ice over a certain regions for a longer p...

[1] Despite the abundance and variety of remote sensing measurements, land surface characterization from satellite observations is still very challenging. The links between the three sources of surface information, namely the satellite observations, the in situ measurements, and the land surface model outputs, are complex. Innovative techniques have to be developed to merge these information so...

[1] A global biofuels program will potentially lead to intense pressures on land supply and cause widespread transformations in land use. These transformations can alter the Earth climate system by increasing greenhouse gas (GHG) emissions from land use changes and by changing the reflective and energy exchange characteristics of land ecosystems. Using an integrated assessment model that links ...

Because land surface emissivity ( ) has not been reliably measured, global climate model (GCM) land surface schemes conventionally set this parameter as simply constant, for example, 1 as in the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) model, and 0.96 for bare soil as in the National Center for Atmospheric Research (NCAR) Commun...

[1] This paper compares seasonal and spatial variations of MODIS albedos with those from the Community Land Model (CLM2). MODIS surface albedo data from September 2000 to August 2002 were used to investigate the model biases. To assess how inaccuracies in the land surface data used in CLM2 contribute to the model albedo biases, we created a new land surface dataset using the highest quality rep...

introduction: the modis facility for the earth observing system is a key element that supports ambitious goals related to studying the earth as a system. one of the modis products is high quality land surface temperature data that product in terra and aqua platforms. knowledge of the lst provides information on the temporal and spatial variations of the surface equilibrium state and is of funda...