Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3337-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3337-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
13 Jul 2021
Data description paper |
| 13 Jul 2021
| 13 Jul 2021
EMDNA: an Ensemble Meteorological Dataset for North America
Centre for Hydrology, University of Saskatchewan, Canmore, Alberta,
Canada
Martyn P. Clark
Centre for Hydrology, University of Saskatchewan, Canmore, Alberta,
Canada
Department of Geography and Planning, University of Saskatchewan,
Saskatchewan, Canada
Simon Michael Papalexiou
Centre for Hydrology, University of Saskatchewan, Saskatoon,
Saskatchewan, Canada
Department of Civil, Geological and Environmental Engineering,
University of Saskatchewan, Saskatchewan, Canada
Andrew J. Newman
National Center for Atmospheric Research, Boulder, Colorado, USA
Andrew W. Wood
National Center for Atmospheric Research, Boulder, Colorado, USA
Dominique Brunet
Meteorological Research Division, Environment and Climate Change
Canada, Toronto, Ontario, Canada
Paul H. Whitfield
Centre for Hydrology, University of Saskatchewan, Canmore, Alberta,
Canada
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Short summary
Probabilistic estimates are useful to quantify the uncertainties in meteorological datasets. This study develops the Ensemble Meteorological Dataset for North America (EMDNA). EMDNA has 100 members with daily precipitation amount, mean daily temperature, and daily temperature range at 0.1° spatial resolution from 1979 to 2018. It is expected to be useful for hydrological and meteorological applications in North America.
Probabilistic estimates are useful to quantify the uncertainties in meteorological datasets....
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