SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018

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

doi:https://doi.org/10.5194/essd-12-2381-2020

Articles | Volume 12, issue 4

https://doi.org/10.5194/essd-12-2381-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-2381-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 4

Data description paper

|

02 Oct 2020

Data description paper |

| 02 Oct 2020

SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018

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

Supplement

https://doi.org/10.5194/essd-12-2381-2020-supplement

Data sets

SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018 Guoqiang Tang, Martyn P. Clark, Andrew J. Newman, Andrew W. Wood, Simon Michael Papalexiou, Vincent Vionnet, and Paul H. Whitfield https://doi.org/10.5281/zenodo.3735533

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Short summary

Station observations are critical for hydrological and meteorological studies, but they often contain missing values and have short measurement periods. This study developed a serially complete dataset for North America (SCDNA) from 1979 to 2018 for 27 276 precipitation and temperature stations. SCDNA is built on multiple data sources and infilling/reconstruction strategies to achieve high-quality estimates which can be used for a variety of applications.