Open climate data and services to serve landscape modeling and decision making at the USGS: Past, present and future.
Abstract:
When an analyst needs information such as decadal average growing degree day estimates for historical and future periods, she shouldn’t have to download and process terabytes of historical and projected data to produce a few summary values, or a simple map. A USGS project, known as the Geo Data Portal (GDP), has assembled a catalog of web-service available gridded climate datasets at the USGS, NASA, NOAA and several universities. GDP processing services provide model-ready spatially summarized gridded time series data for user-submitted polygons for any dataset in the catalog or any dataset published using supported open standards. Recently, progress has been made toward providing annual climate indices from monthly and daily data in common GIS formats.
Using the GDP system, a person can execute processing tasks that run on USGS servers and use custom datasets, statistic types, and statistic thresholds. This work has been made possible by numerous organizations committed to publishing software and data that scale well, use standards, and are freely available for anyone to use. A high-level overview of assembling the Geo Data Portal system’s capabilities will be presented, reflecting on technical and strategic difficulties experienced, and the future of open data and processing between the climate and landscape domains.
