Western US high June 2015 temperatures and their relation to global warming and soil moisture

  • Sjoukje Y. Philip
  • Sarah F. Kew
  • Mathias Hauser
  • Benoit P. Guillod
  • Adriaan J. Teuling
  • Kirien Whan
  • Peter Uhe
  • Geert Jan van Oldenborgh
Article

Abstract

The Western US states Washington (WA), Oregon (OR) and California (CA) experienced extremely high temperatures in June 2015. The temperature anomalies were so extreme that they cannot be explained with global warming alone. We investigate the hypothesis that soil moisture played an important role as well. We use a land surface model and a large ensemble from the weather@home modelling effort to investigate the coupling between soil moisture and temperature in a warming world. Both models show that May was anomalously dry, satisfying a prerequisite for the extreme heat wave, and they indicate that WA and OR are in a wet-to-dry transitional soil moisture regime. We use two different land surface–atmosphere coupling metrics to show that there was strong coupling between temperature, latent heat flux and the effect of soil moisture deficits on the energy balance in June 2015 in WA and OR. June temperature anomalies conditioned on wet/dry conditions show that both the mean and extreme temperatures become hotter for dry soils, especially in WA and OR. Fitting a Gaussian model to temperatures using soil moisture as a covariate shows that the June 2015 temperature values fit well in the extrapolated empirical temperature/drought lines. The high temperature anomalies in WA and OR are thus to be expected, given the dry soil moisture conditions and that those regions are in the transition from a wet to a dry regime. CA is already in the dry regime and therefore the necessity of taking soil moisture into account is of lower importance.

Keywords

Temperature extremes Land attribution Global warming Surface–atmosphere coupling \(\pi\)-metric VAC-metric Soil moisture US West Coast states 

Notes

Acknowledgements

We would like to thank all of the volunteers who have donated their computing time to climateprediction.net and weather@home. We thank our colleagues at the Oxford eResearch Centre: A. Bowery, M. Rashid, S. Sparrow and D. Wallom for their technical expertise. We also thank the Met Office Hadley Centre PRECIS team for their technical and scientific support for the development and application of weather@home. We extend our appreciation to Sonia Seneviratne for her suggestions and feedback. This project was supported by the World Weather Attribution initiative and the EU project EUCLEIA under Grant Agreement 607085.

Supplementary material

382_2017_3759_MOESM1_ESM.pdf (2.4 mb)
Supplementary material 1 (PDF 2468 kb)

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Sjoukje Y. Philip
    • 1
  • Sarah F. Kew
    • 1
  • Mathias Hauser
    • 2
  • Benoit P. Guillod
    • 3
  • Adriaan J. Teuling
    • 5
  • Kirien Whan
    • 1
  • Peter Uhe
    • 3
    • 4
  • Geert Jan van Oldenborgh
    • 1
  1. 1.Royal Netherlands Meteorological Institute (KNMI)De BiltThe Netherlands
  2. 2.ETH ZürichZürichSwitzerland
  3. 3.Environmental Change InstituteUniversity of OxfordOxfordUK
  4. 4.Oxford e-Research CentreUniversity of OxfordOxfordUK
  5. 5.Hydrology and Quantitative Water Management GroupWageningen UniversityWageningenThe Netherlands

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