Christa D. Peters-Lidard

TL;DR: In this article, the authors discuss the needs and benefits for a system that would monitor and predict the Earth's terrestrial water, energy, and biogeochemical cycles, and they call upon the international hydrologic community and the hydrological science support infrastructure to endorse the effort.

TL;DR: Land Information System is a software framework that integrates the use of satellite and ground-based observational data along with advanced land surface models and computing tools to accurately characterize land surface states and fluxes to enable the definition, intercomparison, and validation of land surface modeling standards and the reuse of a high quality land surface modeled and computing system.

TL;DR: The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) as mentioned in this paper is a custom instance of the NASA Land Information System (LIS) framework, which is used to produce multi-model and multi-forcing estimates of hydro-climate states and fluxes over semi-arid, food insecure regions of Africa.

TL;DR: In this article, the sensitivity of sensible and latent heat fluxes and surface temperatures to the parameterization of the soil thermal conductivity is demonstrated using a soil vegetation atmosphere transfer scheme (SVATS) applied to intensive field campaigns (IFCs 3 and 4 of the First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment (FIFE).

TL;DR: In this article, an error decomposition scheme is devised to separate the errors into three independent components, hit bias, missed precipitation, and false precipitation, to better track the error sources associated with the satellite retrieval processes.