A multi-parameter land data set for regional modeling

Regional climate simulations can benefit from data sets that depict seasonal and inter-annual variability of surface conditions at relatively fine spatial resolution. Remotely-sensed data can provide such information. However, a variety of data processing and algorithmic issues become apparent when attempting to link satellite products with modeling. The authors review the assembly of existing remotely-sensed products to support a regional climate modeling experiment, and summarize lessons learned regarding applicability of existing land products to modeling applications.