CHELSA-W5E5: daily 1&thinsp;km meteorological forcing data for climate impact studies

Karger, Dirk Nikolaus; Lange, Stefan; Hari, Chantal; Reyer, Christopher P. O.; Conrad, Olaf; Zimmermann, Niklaus E.; Frieler, Katja

doi:https://doi.org/10.5194/essd-15-2445-2023

Articles | Volume 15, issue 6

https://doi.org/10.5194/essd-15-2445-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-2445-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Data description paper

|

12 Jun 2023

Data description paper |

| 12 Jun 2023

CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies

Dirk Nikolaus Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer, Olaf Conrad, Niklaus E. Zimmermann, and Katja Frieler

Data sets

CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0 Dirk N. Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer, and Niklaus E. Zimmermann https://doi.org/10.48364/ISIMIP.836809.3

Model code and software

CHELSA-W5E5: V1.0. In Earth System Science Data (V1.0) Dirk Nikolaus Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer, Olaf Conrad, Niklaus E. Zimmermann, and Frieler, Katja https://doi.org/10.5281/zenodo.8010301

CHELSA-W5E5-validation: V1.0. In Earth System Science Data (V1.0) Dirk Nikolaus Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer, Olaf Conrad, Niklaus E. Zimmermann, and Frieler, Katja https://doi.org/10.5281/zenodo.8010710

Short summary

We present the first 1 km, daily, global climate dataset for climate impact studies. We show that the high-resolution data have a decreased bias and higher correlation with measurements from meteorological stations than coarser data. The dataset will be of value for a wide range of climate change impact studies both at global and regional level that benefit from using a consistent global dataset.