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Global Meteorological Forcing Dataset for land surface modeling (PGF)(Princeton)

Jul 25, 2023
Dataset extended description

This dataset provides near-surface meteorological data for driving land surface models and other terrestrial modeling systems. It blends reanalysis data with observations and disaggregates in time and space. The dataset is currently available at 1.0 degree (plus 0.5 and 0.25 degree), 3-hourly (plus daily and monthly) resolution globally for 1948-2008. Experimental updates include a 1901-2012 version (that will become V2), real-time updates, higher resolution versions for Africa (that assimilates all available gauge data) and future climate projections based on bias-corrected climate model output.

Dataset keywords
Dataset last access
Dataset JRC path

pff/data

Dataset type
Dataset category
Dataset format

nc

Dataset availability
NOT ACTUALLY AVAILABLE
Dataset use limitations

The dataset is freely available but we ask that you leave a few details about yourself and how you intend to use the dataset. Also, please cite the reference below if you use the data. The dataset is updated periodically, and these updates are listed below. The data is best used for research into long-term and broad scale problems, rather than applications for specific locations and/or dates. Data are provided for the oceans as well, but have not been evaluated.

Dataset temporal frequency
sub-daily
Dataset temporal extent
-
Dataset spatial extent
Dataset region of interest
Dataset JRC contact
cesar.carmona-moreno@ec.europa.eu
Dataset credits

Sheffield, J., G. Goteti, and E. F. Wood, 2006: Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Climate, 19 (13), 3088-3111

Dataset disclaimer

Aquaknow provides key metadata for a selection of global and regional datas of relevance to WEFE (Water-Energy-Food-Ecosystem) nexus and socio-economic analysis. The information may  be not necessarily complete, nor regularly updated and links could be discontinued by original providers. Users are recommended to make reference to original datas websites for comprehensive terms and conditions of use, including academic credits. Aquaknow platform  is not liable for, and specifically disclaims any warranties, express or implied, in connection with, the use of the datas, including any warranties of fitness for a particular purpose or non-infringement.