2023 Data (Information)
Data: The Most Effective Remote Forcing in Causing U.S.-Wide Heat Extremes as Revealed by CESM Green's Function Experiments
We make use of the Community Atmosphere Model version 5 Green's function q-flux perturbation experiments to explore the most effective remote forcing in driving U.S.-wide summer heat extremes. We find that positive q-flux forcing over the western North Pacific Ocean is the most effective in causing an increased heat extreme frequency. This works by driving increased sea surface temperature and precipitation over western North Pacific and an eastward propagating Rossby wave train with an anomalous ridge over the contiguous U.S. In comparison, negative q-flux forcing over the eastern tropical Pacific and its resulting surface cooling also leads to an increased heat extreme frequency but is less effective. Furthermore, guided by the Green's function results, we separate the role of western North Pacific warming and eastern tropical Pacific cooling in U.S. heat extremes in prescribed SST experiments and ERA5 reanalysis data and find overall consistent conclusions.
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CAM5_greens_heat_data.nc
application/netcdf
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More About This Work
- Academic Units
- Lamont-Doherty Earth Observatory
- Ocean and Climate Physics
- Published Here
- February 17, 2023
Notes
The dataset includes the key variables from the CAM5 q-flux Green's function experiments, including the q-flux forcing perturbation, linear response of heat extreme frequency, linear response of surface temperature, linear response of precipitation, linear response of 200hPa geopotential height and linear response of surface turbulent flux. They were used to generate Figs. 1 and 2 of "The Most Effective Remote Forcing in Causing U.S.-Wide Heat Extremes as Revealed by CESM Green's Function Experiments" submitted.
