TY - JOUR
T1 - Impact of air–sea coupling on the simulated global tropical cyclone activity in the high-resolution Community Earth System Model (CESM)
AU - Li, Hui
AU - Sriver, Ryan L.
N1 - 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 in part by the NCSA Faculty Fellowship Program and the NSF Petascale Computing Resource Allocations (PRAC) program (Award OAC-1713685). High-resolution daily and 6-h data output are archived at the University of Illinois and are available from the authors upon request. We 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/.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Atmosphere–ocean coupling is critical for tropical cyclones (TC) formation and development. TCs derive their energy from the upper ocean, and the associated TC-ocean interactions can in turn modulate storm evolution. This study assesses the impact of ocean coupling on directly-simulated global TC activity in the high-resolution “TC-permitting” Community Earth System Model (CESM). Model-simulated global TC activity is evaluated in a 30-year fully-coupled CESM simulation (CPL), in which the 0.25° atmosphere component is coupled to the nominal 1° dynamic ocean (with ~ 0.27° horizontal grid spacing in the tropics). An atmosphere-only simulation (ATM) is branched from CPL, with sea surface temperature (SST) specified from CPL, which we use to isolate the effect of ocean coupling on TC activity. We find that the two-way ocean coupling can affect global TC frequency, geographical distribution, storm intensity, and interannual variability. ATM on average simulates 27% more major TC events than CPL globally, and the TC power dissipation is higher than CPL poleward of 12° latitude in both hemispheres. The lack of negative SST feedbacks in ATM allows TCs to have a longer intensification period and reach the maximum intensity at a higher latitude. In CPL, TC interannual variability is heavily influenced by El Nino/La Nina events. This relationship can be captured in ATM under strong events but is less predictable during weak and neutral years. Results help to better understand the connections and feedbacks linking air–sea coupling, tropical variability, and the directly simulated TC activity within the high-resolution Earth System Models.
AB - Atmosphere–ocean coupling is critical for tropical cyclones (TC) formation and development. TCs derive their energy from the upper ocean, and the associated TC-ocean interactions can in turn modulate storm evolution. This study assesses the impact of ocean coupling on directly-simulated global TC activity in the high-resolution “TC-permitting” Community Earth System Model (CESM). Model-simulated global TC activity is evaluated in a 30-year fully-coupled CESM simulation (CPL), in which the 0.25° atmosphere component is coupled to the nominal 1° dynamic ocean (with ~ 0.27° horizontal grid spacing in the tropics). An atmosphere-only simulation (ATM) is branched from CPL, with sea surface temperature (SST) specified from CPL, which we use to isolate the effect of ocean coupling on TC activity. We find that the two-way ocean coupling can affect global TC frequency, geographical distribution, storm intensity, and interannual variability. ATM on average simulates 27% more major TC events than CPL globally, and the TC power dissipation is higher than CPL poleward of 12° latitude in both hemispheres. The lack of negative SST feedbacks in ATM allows TCs to have a longer intensification period and reach the maximum intensity at a higher latitude. In CPL, TC interannual variability is heavily influenced by El Nino/La Nina events. This relationship can be captured in ATM under strong events but is less predictable during weak and neutral years. Results help to better understand the connections and feedbacks linking air–sea coupling, tropical variability, and the directly simulated TC activity within the high-resolution Earth System Models.
KW - Atmosphere–ocean interactions
KW - Climate variability
KW - Earth system modeling
KW - Ocean coupling
KW - Tropical cyclones
UR - http://www.scopus.com/inward/record.url?scp=85064147151&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064147151&partnerID=8YFLogxK
U2 - 10.1007/s00382-019-04739-8
DO - 10.1007/s00382-019-04739-8
M3 - Article
AN - SCOPUS:85064147151
SN - 0930-7575
VL - 53
SP - 3731
EP - 3750
JO - Climate Dynamics
JF - Climate Dynamics
IS - 7-8
ER -