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Section 1: Publication
Publication Type
Journal Article
Authorship
Tang, G., Clark, M., Papalexiou, S., Newman, A., Wood, A., Brunet, D., Whitfield, P.
Title
Ensemble Meteorological Dataset for North America
Year
2020
Publication Outlet
Federated Research Data Repository.
DOI
ISBN
ISSN
Citation
Tang, G. , Clark, M. , Papalexiou, S. , Newman, A. , Wood, A. , Brunet, D. , Whitfield, P. (2020) EMDNA: Ensemble Meteorological Dataset for North America. Federated Research Data Repository.
https://doi.org/10.20383/101.0275
Abstract
The Ensemble Meteorological Dataset for North America (EMDNA) contains daily precipitation, mean daily temperature, and daily temperature range at the 0.1-degree resolution from 1979 to 2018. Minimum and maximum temperature can be calculated from mean temperature and temperature range. EMDNA merges station observations and reanalysis model outputs to improve the quality of estimates. The dataset is expected to be useful for hydrological and meteorological applications in North America.
Two types of datasets are provided by EMDNA, including the probabilistic dataset and the deterministic dataset. The probabilistic dataset has 100 equally plausible ensemble members, which can be used to evaluate the impact of the uncertainties in a myriad of applications. The deterministic dataset is generated during the production of ensemble members and can be applied in studies that do not need uncertainty estimation.
Plain Language Summary
Section 2: Additional Information
Program Affiliations
Project Affiliations
Submitters
Publication Stage
Published
Theme
Presentation Format
Additional Information
INARCH