TY - JOUR
T1 - Assessing tropical cyclones’ contribution to precipitation over the Eastern United States and sensitivity to the variable-resolution domain extent
AU - Stansfield, Alyssa M.
AU - Reed, Kevin A.
AU - Zarzycki, Colin M.
AU - Ullrich, Paul A.
AU - Chavas, Daniel R.
N1 - Funding Information:
This work was supported by Department of Energy Office of Science award number DE-SC0016605, ‘‘An Integrated Evaluation of the Simulated Hydroclimate System of the Continental U.S.’’ Additional funding for Ullrich and Zarzycki and for the development of the TempestExtremes suite was provided under NASA Award NNX16AG62G ‘‘TempestExtremes: Indicators of change in the characteristics of extreme weather.’’ CPC United States Unified Precipitation data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, from their website at https://www.esrl.noaa. gov/psd/.
Funding Information:
Acknowledgments. This work was supported by Department of Energy Office of Science award number DE-SC0016605, ‘‘An Integrated Evaluation of the Simulated Hydroclimate System of the Continental U.S.’’ Additional funding for Ullrich and Zarzycki and for the development of the TempestExtremes suite was provided under NASA Award NNX16AG62G ‘‘TempestExtremes: Indicators of change in the characteristics of extreme weather.’’ CPC United States Unified Precipitation data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, from their website at https://www.esrl.noaa. gov/psd/.
Publisher Copyright:
© 2020 American Meteorological Society.
PY - 2020
Y1 - 2020
N2 - Tropical cyclones (TCs) can subject an area to heavy precipitation for many hours, or even days, worsening the risk of flooding, which creates dangerous conditions for residents of the U.S. East and Gulf Coasts. To study the representation of TC-related precipitation over the eastern United States in current-generation global climate models, a novel analysis methodology is developed to track TCs and extract their associated precipitation using an estimate of their dynamical outer size. This methodology is applied to three variable-resolution (VR) configurations of the Community Atmosphere Model, version 5 (CAM5), with high-resolution domains over the North Atlantic and one low-resolution conventional configuration, as well as to a combination of reanalysis and observational precipitation data. Metrics and diagnostics such as TC counts, intensities, outer storm sizes, and annual mean total and extreme precipitation are compared between the CAM5 simulations and reanalysis/observations. The high-resolution VR configurations outperform the global low-resolution configuration for all variables in the North Atlantic. Realistic TC intensities are pro-duced by the VR configurations. The total North Atlantic TC counts are lower than observations but better than reanalysis.
AB - Tropical cyclones (TCs) can subject an area to heavy precipitation for many hours, or even days, worsening the risk of flooding, which creates dangerous conditions for residents of the U.S. East and Gulf Coasts. To study the representation of TC-related precipitation over the eastern United States in current-generation global climate models, a novel analysis methodology is developed to track TCs and extract their associated precipitation using an estimate of their dynamical outer size. This methodology is applied to three variable-resolution (VR) configurations of the Community Atmosphere Model, version 5 (CAM5), with high-resolution domains over the North Atlantic and one low-resolution conventional configuration, as well as to a combination of reanalysis and observational precipitation data. Metrics and diagnostics such as TC counts, intensities, outer storm sizes, and annual mean total and extreme precipitation are compared between the CAM5 simulations and reanalysis/observations. The high-resolution VR configurations outperform the global low-resolution configuration for all variables in the North Atlantic. Realistic TC intensities are pro-duced by the VR configurations. The total North Atlantic TC counts are lower than observations but better than reanalysis.
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U2 - 10.1175/JHM-D-19-0240.1
DO - 10.1175/JHM-D-19-0240.1
M3 - Article
AN - SCOPUS:85086805104
SN - 1525-755X
VL - 21
SP - 1425
EP - 1445
JO - Journal of Hydrometeorology
JF - Journal of Hydrometeorology
IS - 7
ER -