TY - JOUR
T1 - The Influence of Ocean Coupling on Simulated and Projected Tropical Cyclone Precipitation in the HighResMIP–PRIMAVERA Simulations
AU - Huang, Huanping
AU - Patricola, Christina M.
AU - Collins, William D.
N1 - Data Availability Statement:
The climate data sets and tropical cyclone (TC) tracks used in this work are publicly available, with their DOIs/links cited in this manuscript. The HighResMIP–PRIMAVERA climate model outputs are available on the Earth System Grid Federation nodes (https://esgf-index1.ceda.ac.uk/search/cmip6-ceda) under references Scoccimarro et al. (2017a, 2017b), Voldoire (2019a, 2019b), EC-Earth Consortium (2019a, 2019b), and Roberts (2017a, 2017b). The model data can also be accessed at the UK Centre for Environmental Data Analysis’s JASMIN platform (https://www.ceda.ac.uk/services/jasmin/). Simulated TC tracks can be accessed through the UK Centre for Environmental Data Analysis under references Roberts (2019a, 2019b). Observed TC tracks in the North Atlantic and eastern North Pacific basins are obtained from NOAA National Hurricane Center (https://www.nhc.noaa.gov/data/#hurdat). Observed TC tracks in the western North Pacific and North Indian basins are obtained from the U.S. Navy’s Joint Typhoon Warning Center (https://www.metoc.navy.mil/jtwc/jtwc.html?best-tracks). The Tropical Rainfall Measuring Mission (TRMM) data set is accessed from NASA’s Goddard Earth Sciences Data and Information Services Center (https://doi.org/10.5067/TRMM/TMPA/3H/7).
PY - 2021/10/28
Y1 - 2021/10/28
N2 - This study aims to quantify the impacts of atmosphere–ocean coupling on simulated and projected tropical cyclone (TC) precipitation globally. We used global climate model (GCM) simulations over 1950–2050 from the High Resolution Model Intercomparison Project (HighResMIP) and compared its fully coupled atmosphere–ocean GCMs (AOGCMs) with atmosphere-only GCMs (AGCMs). We find that ocean coupling generally leads to decreased TC precipitation over ocean and land. Large-scale sea surface temperature (SST) biases are critical drivers of the precipitation difference, with secondary contributions from local TC–ocean feedbacks via SST cold wakes. The two driving factors, attributed to ocean coupling in the AOGCMs, influence TC precipitation in association with decreased TC intensity and specific humidity. The AOGCMs and AGCMs consistently project TC precipitation increases in 2015–2050 relative to 1950–2014 over ocean for all basins, and for landfalling TCs in the North Atlantic and western North Pacific.
AB - This study aims to quantify the impacts of atmosphere–ocean coupling on simulated and projected tropical cyclone (TC) precipitation globally. We used global climate model (GCM) simulations over 1950–2050 from the High Resolution Model Intercomparison Project (HighResMIP) and compared its fully coupled atmosphere–ocean GCMs (AOGCMs) with atmosphere-only GCMs (AGCMs). We find that ocean coupling generally leads to decreased TC precipitation over ocean and land. Large-scale sea surface temperature (SST) biases are critical drivers of the precipitation difference, with secondary contributions from local TC–ocean feedbacks via SST cold wakes. The two driving factors, attributed to ocean coupling in the AOGCMs, influence TC precipitation in association with decreased TC intensity and specific humidity. The AOGCMs and AGCMs consistently project TC precipitation increases in 2015–2050 relative to 1950–2014 over ocean for all basins, and for landfalling TCs in the North Atlantic and western North Pacific.
UR - https://www.scopus.com/pages/publications/85118245669
U2 - 10.1029/2021GL094801
DO - 10.1029/2021GL094801
M3 - Article
AN - SCOPUS:85118245669
SN - 0094-8276
VL - 48
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 20
M1 - e2021GL094801
ER -
SDG 13 Climate Action