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Evolution of Dry and Wet Spells Under Climate Change Over North‐Eastern North America.
- Source :
- Journal of Geophysical Research. Atmospheres; 3/16/2021, Vol. 126 Issue 5, p1-21, 21p
- Publication Year :
- 2021
-
Abstract
- Risks associated to extreme hydrological conditions, such as floods and droughts, are expected to increase in future climate because of projected changes in precipitation and temperature. Assessing how wet and dry persisting conditions (or spells) will evolve in future climate is a crucial step in the study of extreme hydrological events. Projected changes over the north‐eastern part of North America in the annual number of wet days, wet, and dry spells characteristics (number, duration), and wet spells intensities are analyzed. Two regional climate model ensembles are considered: the multimember ensemble from the Canadian RCM v5 (CRCM5‐LE), and 16 simulations from the NA‐CORDEX multimodel ensemble both using the Representative Concentration Pathway 8.5 (RCP8.5) scenario. Comparison of observed and simulated wet and dry spells characteristics is first performed in present climate (1971–2000). Regional Climate Model (RCM)s tend to generate too many wet days and wet or dry spells resulting in shorter dry spells and slightly longer wet spells. Modeling uncertainties are accounted for a bigger contribution to the bias than internal variability since the multimodel ensemble dispersion is the largest. Throughout the 21st century, both ensembles project significant trends in winter at higher latitudes resulting in increasing wet day frequency, increasing number of wet spell, longer wet spells and shorter dry spells. For other seasons, internal variability of the CRCM5‐LE and differences among the various NA‐CORDEX simulations seems to overwhelm the climate change signal. Wet spell intensities increases are projected for all seasons over almost the entire domain. Globally, wetter climate with potential significant hydrological impacts are expected in many regions. Key Points: Wet and dry spells future evolution are assessed using two RCMs ensemble: CRCM5‐LE and NA‐CORDEXModeling uncertainties are accounted for a bigger contribution to the bias than internal variabilityBoth internal variability and modeling uncertainties seems to overwhelm the climate change signal [ABSTRACT FROM AUTHOR]
- Subjects :
- FLOODS
DROUGHTS
ATMOSPHERIC models
CLIMATE change
CLIMATOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 2169897X
- Volume :
- 126
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Geophysical Research. Atmospheres
- Publication Type :
- Academic Journal
- Accession number :
- 149308184
- Full Text :
- https://doi.org/10.1029/2020JD033740