Weather Systems Connecting Modes of Climate Variability to Regional Hydroclimate Extremes
- Atmospheric, Climate, and Earth Sciences Division Pacific Northwest National Laboratory Richland WA USA
- Earth Systems Science Division Pacific Northwest National Laboratory Richland WA USA
Abstract Weather system clustering provides a high‐level summary of regional meteorological conditions. Most quantitative clustering schemes focus on precipitation alone, which does not sufficiently describe the meteorological conditions driving hydroclimate variability. This study presents the Weather Anomaly Clustering (WAC‐hydro), which extends the existing capability of predicting weather systems to predicting hydroclimate variability. Focusing on both precipitation and temperature predictions, WAC‐hydro identifies 12 clusters of daily weather anomaly modes in the US Pacific Northwest Puget Sound region during 1981–2020. The influence of El Niño‐Southern Oscillation and Madden‐Julian Oscillation on regional precipitation can be well approximated by their modulation on the weather clusters. Within each weather cluster, local factors such as topography only play a secondary role in the hydrologic variability. The weather clusters highlight two types of flood‐inducing regional weather conditions, one causing floods by inducing positive precipitation anomalies and the other causing floods through combined precipitation and temperature‐induced rain‐on‐snow effect.
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- NONE; AC05-76RL01830
- OSTI ID:
- 2229803
- Alternate ID(s):
- OSTI ID: 2229804; OSTI ID: 2246580
- Journal Information:
- Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 24 Vol. 50; ISSN 0094-8276
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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