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ISLSCP II Reanalysis Near-Surface Meteorology Data Set Published

Submitted by ORNL DAAC Staff on

The ORNL DAAC announces the release of ISLSCP II Reanalysis Near-Surface Meteorology Data. The data set was prepared by P. Dirmeyer,  M. Zhao, G. White, and W. Ebisuzak, and provides near-surface meteorological variables, fluxes of heat, moisture and momentum at the surface, and land surface state variables with four temporal categories of data: time invariant and monthly mean annual cycle fields (together referred to as "fixed" fields), monthly mean fields, monthly 3-hourly diurnal, and 3-hourly fields. The data were derived from the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmospheric Model Inter-comparison Project (AMIP-II) reanalysis.

International Satellite Land-Surface Climatology Project (ISLSCP)

The ISLSCP Initiative II data collection is designed to support modeling studies of the global carbon, water and energy cycle. This data collection contains 50 global time series spanning the ten-year period 1986 to 1995 compiled under the guidance of Forrest Hall and colleagues at NASA's Goddard Space Flight Center. The data for Initiative II were acquired from a number of U.S. and international agencies, universities, and institutions, then co-registered to equal-angle grids of one degree, one-half and one-quarter degree resolution and reformatted into a common ASCII format.

The collection includes a variety of remotely sensed data sets ranging from visible to microwave wavelengths. The data sets also include improved topography, surface radiation, near-surface meteorology, precipitation, runoff, soils, and vegetation data sets that can be used in a variety of interdisciplinary research activities. Several data sets to support global carbon and biogeochemical studies are also provided.

The ORNL DAAC is one of twelve NASA funded Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) and is responsible for archiving and distributing terrestrial ecology and biogeochemical dynamics data.