EGU23-2246
https://doi.org/10.5194/egusphere-egu23-2246
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

MSWX: Global 3-Hourly 0.1° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles

Hylke Beck1, Albert van Dijk2, Pablo Larraondo2, Tim McVicar3, Ming Pan4, Emanuel Dutra5, and Diego Miralles6
Hylke Beck et al.
  • 1King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (hylke.beck@kaust.edu.sa)
  • 2Fenner School of Environment and Society, Australian National University, Canberra, Australia
  • 3Land and Water, CSIRO, Canberra, Australia
  • 4Scripps Institution of Oceanography, University of California, San Diego, California
  • 5Instituto Português do Mar e da Atmosfera, and Instituto Dom Luiz, Faculty of Science, University of Lisbon, Lisbon, Portugal
  • 6Hydro-Climate Extremes Lab, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium

We present Multi-Source Weather (MSWX), a seamless global gridded near-surface meteorological product featuring a high 3-hourly 0.1° resolution, near-real-time updates (∼3-h latency), and bias-corrected medium-range (up to 10 days) and long-range (up to 7 months) forecast ensembles. The product includes 10 meteorological variables: precipitation, air temperature, daily minimum and maximum air temperature, surface pressure, relative and specific humidity, wind speed, and downward shortwave and longwave radiation. The historical part of the record starts 1 January 1979 and is based on ERA5 data bias corrected and downscaled using high-resolution reference climatologies. The data extension to within ∼3 h of real time is based on analysis data from GDAS. The 30-member medium-range forecast ensemble is based on GEFS and updated daily. Finally, the 51-member long-range forecast ensemble is based on SEAS5 and updated monthly. The near-real-time and forecast data are statistically harmonized using running-mean and cumulative distribution function-matching approaches to obtain a seamless record covering 1 January 1979 to 7 months from now. MSWX presents new and unique opportunities for hydrological modeling, climate analysis, impact studies, and monitoring and forecasting of droughts, floods, and heatwaves (within the bounds of the caveats and limitations discussed herein). The product is available at www.gloh2o.org/mswx.

How to cite: Beck, H., van Dijk, A., Larraondo, P., McVicar, T., Pan, M., Dutra, E., and Miralles, D.: MSWX: Global 3-Hourly 0.1° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2246, https://doi.org/10.5194/egusphere-egu23-2246, 2023.