EMDNA: an Ensemble Meteorological Dataset for North America

Tang, Guoqiang; Clark, Martyn P.; Papalexiou, Simon Michael; Newman, Andrew J.; Wood, Andrew W.; Brunet, Dominique; Whitfield, Paul H.

doi:https://doi.org/10.5194/essd-13-3337-2021

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.

https://doi.org/10.5194/essd-13-3337-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 7

Data description paper

|

13 Jul 2021

Data description paper |

| 13 Jul 2021

EMDNA: an Ensemble Meteorological Dataset for North America

Guoqiang Tang, Martyn P. Clark, Simon Michael Papalexiou, Andrew J. Newman, Andrew W. Wood, Dominique Brunet, and Paul H. Whitfield

Data sets

EMDNA: Ensemble Meteorological Dataset for North America [Dataset] Guoqiang Tang, Martyn P. Clark, Simon Michael Papalexiou, Andrew J. Newman, Andrew W. Wood, Dominique Brunet, and Paul H. Whitfield https://doi.org/10.20383/101.0275

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.