Characterization of extreme precipitation within atmospheric river events over California
Abstract
Atmospheric rivers (ARs) are large, spatially coherent weather systems with high concentrations of elevated water vapor. These systems often cause severe downpours and flooding over the western coastal United States – and with the availability of more atmospheric moisture in the future under global warming we expect ARs to play an important role as potential causes of extreme precipitation changes. Therefore, we aim to investigate changes in extreme precipitation properties correlated with AR events in a warmer climate, which are large-scale meteorological patterns affecting the weather and climate of California. We have recently developed the TECA (Toolkit for Extreme Climate Analysis) software for automatically identifying and tracking features in climate data sets. Specifically, we can now identify ARs that make landfall on the western coast of North America. Based on this detection procedure, we can investigate the impact of ARs by exploring the spatial extent of AR precipitation using climate model (CMIP5) simulations and characterize spatial patterns of dependence for future projections between AR precipitation extremes under climate change within the statistical framework. Our results show that AR events in the future RCP (Representative Concentration Pathway)8.5 scenario (2076–2100) tend to produce heavier rainfall with higher frequency and longer days thanmore »
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1226108
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Advances in Statistical Climatology, Meteorology and Oceanography (Online)
- Additional Journal Information:
- Journal Name: Advances in Statistical Climatology, Meteorology and Oceanography (Online) Journal Volume: 1 Journal Issue: 1; Journal ID: ISSN 2364-3587
- Publisher:
- Copernicus Publications
- Country of Publication:
- Germany
- Language:
- English
Citation Formats
Jeon, S., Prabhat,, Byna, S., Gu, J., Collins, W. D., and Wehner, M. F. Characterization of extreme precipitation within atmospheric river events over California. Germany: N. p., 2015.
Web. doi:10.5194/ascmo-1-45-2015.
Jeon, S., Prabhat,, Byna, S., Gu, J., Collins, W. D., & Wehner, M. F. Characterization of extreme precipitation within atmospheric river events over California. Germany. https://doi.org/10.5194/ascmo-1-45-2015
Jeon, S., Prabhat,, Byna, S., Gu, J., Collins, W. D., and Wehner, M. F. Tue .
"Characterization of extreme precipitation within atmospheric river events over California". Germany. https://doi.org/10.5194/ascmo-1-45-2015.
@article{osti_1226108,
title = {Characterization of extreme precipitation within atmospheric river events over California},
author = {Jeon, S. and Prabhat, and Byna, S. and Gu, J. and Collins, W. D. and Wehner, M. F.},
abstractNote = {Atmospheric rivers (ARs) are large, spatially coherent weather systems with high concentrations of elevated water vapor. These systems often cause severe downpours and flooding over the western coastal United States – and with the availability of more atmospheric moisture in the future under global warming we expect ARs to play an important role as potential causes of extreme precipitation changes. Therefore, we aim to investigate changes in extreme precipitation properties correlated with AR events in a warmer climate, which are large-scale meteorological patterns affecting the weather and climate of California. We have recently developed the TECA (Toolkit for Extreme Climate Analysis) software for automatically identifying and tracking features in climate data sets. Specifically, we can now identify ARs that make landfall on the western coast of North America. Based on this detection procedure, we can investigate the impact of ARs by exploring the spatial extent of AR precipitation using climate model (CMIP5) simulations and characterize spatial patterns of dependence for future projections between AR precipitation extremes under climate change within the statistical framework. Our results show that AR events in the future RCP (Representative Concentration Pathway)8.5 scenario (2076–2100) tend to produce heavier rainfall with higher frequency and longer days than events from the historical run (1981–2005). We also find that the dependence between extreme precipitation events has a shorter spatial range, within localized areas in California, under the high future emissions scenario than under the historical run.},
doi = {10.5194/ascmo-1-45-2015},
journal = {Advances in Statistical Climatology, Meteorology and Oceanography (Online)},
number = 1,
volume = 1,
place = {Germany},
year = {2015},
month = {11}
}
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