A long-term, temporally consistent, gridded daily meteorological dataset for northwest North America

  • Cathy Nangini (Contributor)
  • A. Peregon (Contributor)
  • Philippe Ciais (Contributor)
  • Ulf Weddige (Contributor)
  • Felix R. Vogel (Contributor)
  • Jun Wang (Contributor)
  • F. M. Bréon (Contributor)
  • Simeran Bachra (Contributor)
  • Yilong Wang (Contributor)
  • Kevin Gurney (Contributor)
  • Yoshiki Yamagata (Contributor)
  • Kyra Appleby (Contributor)
  • Sara Telahoun (Contributor)
  • J. Canadell (Contributor)
  • Arnulf Grübler (Contributor)
  • Shobhakar Dhakal (Contributor)
  • Felix Creutzig (Contributor)

Dataset

Description

A spatially contiguous, temporally consistent high-resolution gridded daily meteorological dataset for northwest North America. This >4 million km2 region has high topographic relief, seasonal snowpack, permafrost and glaciers, crosses multiple jurisdictional boundaries and contains the entire Yukon, Mackenzie, Saskatchewan, Fraser and Columbia drainages. We interpolate daily station data to 1/16° spatial resolution using a high-resolution monthly 1971-2000 climatology as a predictor in a thin-plate spline interpolating algorithm. Only homogenized climate stations with at least 40 years of record are included. Our approach is designed to produce a dataset well suited for driving hydrological models and training statistical downscaling schemes.
Date made available2019
Publisherfigshare Academic Research System

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    Nangini, C., Peregon, A., Ciais, P., Weddige, U., Vogel, F., Wang, J., Bréon, F. M., Bachra, S., Wang, Y., Gurney, K., Yamagata, Y., Appleby, K., Telahoun, S., Canadell, J. G., Grübler, A., Dhakal, S. & Creutzig, F., 2019, In: Scientific Data. 6, 280.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    62 Scopus citations

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