Accurate knowledge of spatial and temporal land surface storages and fluxes are essential for addressing a wide range of important, socially relevant science, education, application and management issues. Improved estimates of land surface conditions are directly applicable to agriculture, ecology, civil engineering, water resources management, rainfall-runoff prediction, atmospheric process studies, climate and weather prediction, and disaster management (Houser et al. 2004). © 2010 Springer-Verlag Berlin Heidelberg.status: publishe
Subsurface moisture and temperature and snow/ice stores exhibit persistence on various time scales t...
The importance of linking measurements, modeling and remote sensing of land surface processes has be...
Traditionally, land-surface models (LSMs) provide bottom boundary conditions (or surface fluxes) for...
International audienceLDAS-Monde is a global land data assimilation system (LDAS) developed by Centr...
Recent advances in remote sensing technologies have enabled the monitoring and measurement of the Ea...
The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation...
The representation of the Earth's surface in global monitoring and forecasting applications is movin...
The Land Information System (LIS; http://lis.gsfc.nasa.gov; Kumar et al., 2006; Peters- Lidard et al...
The land is of particular importance to the human being, not only because it is our, as well as terr...
and surface temperature and wetness conditions affect and are affected by numerous climatologi-cal, ...
The beginning of the 21st century is marked by a rapid growth of land surface satellite data and mod...
The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation...
Accurate latent and sensible heat flux prediction in response to land surface soil moisture at mid-l...
International audienceLDAS-Monde is a global offline land data assimilation system (LDAS) that joint...
Surface heat fluxes (latent and sensible heat over the land surface) play a key role in the land-atm...
Subsurface moisture and temperature and snow/ice stores exhibit persistence on various time scales t...
The importance of linking measurements, modeling and remote sensing of land surface processes has be...
Traditionally, land-surface models (LSMs) provide bottom boundary conditions (or surface fluxes) for...
International audienceLDAS-Monde is a global land data assimilation system (LDAS) developed by Centr...
Recent advances in remote sensing technologies have enabled the monitoring and measurement of the Ea...
The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation...
The representation of the Earth's surface in global monitoring and forecasting applications is movin...
The Land Information System (LIS; http://lis.gsfc.nasa.gov; Kumar et al., 2006; Peters- Lidard et al...
The land is of particular importance to the human being, not only because it is our, as well as terr...
and surface temperature and wetness conditions affect and are affected by numerous climatologi-cal, ...
The beginning of the 21st century is marked by a rapid growth of land surface satellite data and mod...
The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation...
Accurate latent and sensible heat flux prediction in response to land surface soil moisture at mid-l...
International audienceLDAS-Monde is a global offline land data assimilation system (LDAS) that joint...
Surface heat fluxes (latent and sensible heat over the land surface) play a key role in the land-atm...
Subsurface moisture and temperature and snow/ice stores exhibit persistence on various time scales t...
The importance of linking measurements, modeling and remote sensing of land surface processes has be...
Traditionally, land-surface models (LSMs) provide bottom boundary conditions (or surface fluxes) for...