TY - JOUR
T1 - Tropical Cyclone Activity in the High-Resolution Community Earth System Model and the Impact of Ocean Coupling
AU - Li, Hui
AU - Sriver, Ryan L.
N1 - Funding Information:
This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications (NCSA). This work is funded by the NCSA fellowship program. TC tracks and post-processed climatological data from the current simulations can be accessed at http:// manabe.atmos.uiuc.edu/~rsriver/bw_ tc-clim_data/. High-resolution daily and 6 hourly data output are archived on the Blue Waters and are available from the authors upon request. We thank Jim Edwards and John Truesdale from NCAR for providing inputs on model tuning. We also acknowledge Kerry Emanuel for providing best track data (http://eaps4.mit.edu/faculty/ Emanuel/products). NOAA High Resolution OISST data and NCEP reanalysis data are provided by the NOAA/OAR/ESRL PSD, Boulder, CO, from their Web site at http://www.esrl. noaa.gov/psd/. MERRA-2 data are from the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). TRMM data are produced by Remote Sensing Systems and sponsored by the NASA Earth Sciences Program. Data are available at www.remss.com. ERA-Interim data are from NCAR Research Data Archive (RDA).
Publisher Copyright:
© 2018. The Authors.
PY - 2018/1
Y1 - 2018/1
N2 - High-resolution Atmosphere General Circulation Models (AGCMs) are capable of directly simulating realistic tropical cyclone (TC) statistics, providing a promising approach for TC-climate studies. Active air-sea coupling in a coupled model framework is essential to capturing TC-ocean interactions, which can influence TC-climate connections on interannual to decadal time scales. Here we investigate how the choices of ocean coupling can affect the directly simulated TCs using high-resolution configurations of the Community Earth System Model (CESM). We performed a suite of high-resolution, multidecadal, global-scale CESM simulations in which the atmosphere (∼0.25° grid spacing) is configured with three different levels of ocean coupling: prescribed climatological sea surface temperature (SST) (ATM), mixed layer ocean (SLAB), and dynamic ocean (CPL). We find that different levels of ocean coupling can influence simulated TC frequency, geographical distributions, and storm intensity. ATM simulates more storms and higher overall storm intensity than the coupled simulations. It also simulates higher TC track density over the eastern Pacific and the North Atlantic, while TC tracks are relatively sparse within CPL and SLAB for these regions. Storm intensification and the maximum wind speed are sensitive to the representations of local surface flux feedbacks in different coupling configurations. Key differences in storm number and distribution can be attributed to variations in the modeled large-scale climate mean state and variability that arise from the combined effect of intrinsic model biases and air-sea interactions. Results help to improve our understanding about the representation of TCs in high-resolution coupled Earth system models, with important implications for TC-climate applications.
AB - High-resolution Atmosphere General Circulation Models (AGCMs) are capable of directly simulating realistic tropical cyclone (TC) statistics, providing a promising approach for TC-climate studies. Active air-sea coupling in a coupled model framework is essential to capturing TC-ocean interactions, which can influence TC-climate connections on interannual to decadal time scales. Here we investigate how the choices of ocean coupling can affect the directly simulated TCs using high-resolution configurations of the Community Earth System Model (CESM). We performed a suite of high-resolution, multidecadal, global-scale CESM simulations in which the atmosphere (∼0.25° grid spacing) is configured with three different levels of ocean coupling: prescribed climatological sea surface temperature (SST) (ATM), mixed layer ocean (SLAB), and dynamic ocean (CPL). We find that different levels of ocean coupling can influence simulated TC frequency, geographical distributions, and storm intensity. ATM simulates more storms and higher overall storm intensity than the coupled simulations. It also simulates higher TC track density over the eastern Pacific and the North Atlantic, while TC tracks are relatively sparse within CPL and SLAB for these regions. Storm intensification and the maximum wind speed are sensitive to the representations of local surface flux feedbacks in different coupling configurations. Key differences in storm number and distribution can be attributed to variations in the modeled large-scale climate mean state and variability that arise from the combined effect of intrinsic model biases and air-sea interactions. Results help to improve our understanding about the representation of TCs in high-resolution coupled Earth system models, with important implications for TC-climate applications.
KW - TC-ocean interactions
KW - earth system modeling
KW - tropical cyclones
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U2 - 10.1002/2017MS001199
DO - 10.1002/2017MS001199
M3 - Article
AN - SCOPUS:85040718984
SN - 1942-2466
VL - 10
SP - 165
EP - 186
JO - Journal of Advances in Modeling Earth Systems
JF - Journal of Advances in Modeling Earth Systems
IS - 1
ER -