GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses

Cao, Bin; Quan, Xiaojing; Brown, Nicholas; Stewart-Jones, Emilie; Gruber, Stephan

doi:https://doi.org/10.5194/gmd-12-4661-2019

Articles | Volume 12, issue 11

https://doi.org/10.5194/gmd-12-4661-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-4661-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 11

Development and technical paper

|

07 Nov 2019

Development and technical paper |

| 07 Nov 2019

GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses

Bin Cao, Xiaojing Quan, Nicholas Brown, Emilie Stewart-Jones, and Stephan Gruber

Data sets

Ground 55 temperature and site characterization data from the Canadian Shield tundra near Lac de Gras S. Gruber, N. Brown, E. Stewart-Jones, K. Karunaratne, J. Riddick, C. Peart, R. Subedi, and S. Kokelj https://doi.org/10.5885/45561XX-2C7AB3DCF3D24AD8

Short summary

GlobSim is a tool for simulating land-surface processes and phenomena at point locations globally, even where no site-specific meteorological observations exist. This is important because simulation can add insight to the analysis of observations or help in anticipating climate-change impacts and because site-specific simulation can help in model evaluation.