Distributions of Tropical Precipitation Cluster Power and Their
Changes Under Global Warming. Part II: long-term time-dependence in Coupled Model
Intercomparison Project Phase 5 models.
Kevin M. Quinn and J. David Neelin
J. Climate, 30, 8045-8059, doi:10.1175/JCLI-D-16-0701.1.
Group page.
Abstract.
Distributions of precipitation cluster power (latent heat release rate integrated
over contiguous precipitating pixels) are examined in 1- 2° resolution members of
the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate model ensemble.
These approximately reproduce the power law range and large event cutoff seen in
observations and the High Resolution Atmospheric Model (HIRAM) at 0.25-0.5° in
Part I. Under the Representative Concentration Pathways (RCP) 8.5 global warming
scenario, the change in the probability of the most intense storm clusters appears
in all models and is consistent with HIRAM output, increasing by up to an order of
magnitude relative to historical climate. For the three models in the ensemble with
continuous time series of high resolution output, there is substantial variability
on when these probability increases for the most powerful storm clusters become
detectable, ranging from detectable within the observational period to statisticall
significant trends emerging only after 2050. A similar analysis of National Centers
for Environmental Prediction (NCEP) Reanalysis 2 and Special Sensor Microwave
Imager and Sounder (SSM/I and SSMIS) rain rate retrievals in the recent observational
record does not yield reliable evidence of trends in high power cluster probabilities
at this time. However, the results suggest that maintaining a consistent set of
overlapping satellite instrumentation with improvements to SSM/I-SSMIS rain rate
retrieval inter-calibrations would be useful for detecting trends in this important
tail behavior within the next couple of decades.
Citation:
Quinn, K. M., and J. D. Neelin, 2017: Distributions of Tropical Precipitation
Cluster Power and Their Changes Under Global Warming. Part II: long-term time-
dependence in Coupled Model Intercomparison Project Phase 5 models.
J. Climate, 30, 8045-8059, doi:10.1175/JCLI-D-16-0701.1.
Acknowledgments.
This project was supported in part by the National Science Foundation (NSF Grant AGS-1540518) and National Oceanic and Atmospheric Administration (NOAA Grants NA14OAR4310274 and NA15OAR4310097). Portions of this material have been presented at the 96th Annual Meeting of the American Meteorological Society in 2016. We thank the National Aeronautics and Space Administration (NASA) and Japan Aerospace Exploration Agency (JAXA) for producing their observational precipitation data sets, available at http://disc.sci.gsfc.nasa.gov/datacollection/TRMM_3B42_daily_V7.html. Additionally, we would like to acknowledge the NOAA/Geophysical Fluid Dynamics Laboratory (GFDL) for producing their model output, available at http://nomads.gfdl.noaa.gov:8080/DataPortal/cmip5.jsp. We thank N. Berg, K. Hales-Garcia, M. Schwartz, and D. Walton for assistance in procedure development and J. Meyerson for graphics support.
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