Improvement of extreme climate predictions from dynamical climate downscaling Yang Gao 1, Joshua S. Fu 1, John B. Drake 1, Yang Liu 2, Jean-Francois Lamarque 3, Kan Huang 1, Xinyi Dong 1 and David Wong 4 1 Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN 2 Rollins School of Public Health, Emory University, Atlanta, Georgia 3 Atmospheric Chemistry and Climate and Global Dynamics Divisions, National Center for Atmospheric Research, Boulder, CO 4 Atmospheric Modeling and Analysis Division, NERL, USEPA, Research Triangle Park, NC 11 th Annual CMAS Conference th October, 2012

Linkage from Global model to Regional Model Community Earth System Model CESM 1.0 Regional Climate/Chem Model WRF 3.2.1/CMAQ 5.0 D1/D2/D3: km Community Land Model (CLM) Community Atmosphere Model (CAM) Community Sea Ice Model (CSIM) Ocean component (POP) (dataset number ds510.6) The points represent NCDC US COOP network station observation points in three regions: Northeast (red color), Midwest (blue color) and Southeast (green color) /

Representative Concentration Pathways (RCP) 4.5 Low-medium emissions increasing scenario Representative Concentration Pathways (RCP) 8.5 Fossil fuel intensive scenario RCP 8.5 RCP 4.5 Global Climate Simulation Scenarios RCP:2005  2100 Source: 3

 Three hourly simulations were conducted for RCP 4.5 and RCP 8.5  The data has been published in the Earth System Grid and is available to use by the climate community Three Hourly Global Climate Simulations 4

Source: CCSP, 2008  Heat wave intensity: The highest three continuous night minimum temperatures in a certain year  Heat wave duration and frequency: Two maximum daily temperature thresholds are used for the determination: T1 and T2 can be a) fixed values 30º and 25 ºC b) the 97.5th and 81st percentiles A heat wave period is: (1) the maximum daily temperature reached T1 for at least 3 days (2) the mean daily maximum temperature remained above T1 while the daily maximum temperature reached T2 each day The Definitions of Heat Waves 5

Evaluation of daily maximum temperature (T1/T2)  19 states in WRF and 17 states in CESM have bias less than 2 ºC.  In WRF, more than half of the states (13 out of 23) shows bias less than 1 ºC Gao et al., submitted to ERL % 81% WRF-NCDC CESM-NCDC

Evaluation of Heat Waves in CESM and WRF IntensityDuration Frequency 7

Wide Increase in Heat Wave Intensity, Duration and Frequency Heat wave intensity (ºC) Heat wave duration (days/event) Heat wave frequency (events/year) Present RCP8.5 RCP8.5-Present 8

State-Level Increase in Heat Wave Intensity, Duration and Frequency IntensityDuration Frequency × 11 × 8 ×

City-Level Increase in Heat Wave Intensity, Duration and Frequency Among the top 50 cities by population in US, 20 is located in the eastern US d_States_cities_by_population 10

City-Level Increase in Heat Wave Intensity, Duration and Frequency 11

A rainy day is defined as a day when the daily precipitation totals at least 1 mm. In the current analysis, extreme precipitation is defined as the 95th percentile of all the rainy days Total extreme precipitation (mm/year): Annual total of extreme daily precipitation amounts Annual extreme events (days/year): Number of extreme daily precipitation events Daily extreme precipitation (mm/day): Annual mean rate of extreme daily precipitation, which is calculated as the total amount of annual extreme precipitation divided by total annual extreme precipitation days. Extreme precipitation 12

Evaluation of precipitation 13

Extreme precipitation Total extreme precipitation Annual extreme events Daily extreme precipitation Present RCP8.5 RCP8.5-Present 14

Maximum Daily 8-hr Ozone (MDA8) 15

Dynamical climate downscaling technique has been applied to CESM, and the downscaled results show significant improvement over global outputs, primarily due to the incorporation of local detailed topography and land use information In future climate, more intense and frequency heat waves and extreme precipitation were projected In RCP 4.5, ozone concentrations show significant decrease by the end of 2050s; In RCP 8.5, ozone concentration could increase from combined climate and emission effects Summary 16

This research was supported in part by the National Science Foundation through TeraGrid resources provided by National Institute for Computational Sciences (NICS) under grant number [TG-ATM110009]. This research also used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE- AC05-00OR This work was partially sponsored by the Centers for Disease Control and Prevention (CDC) under a research project cooperative agreement (5 U01 EH000405). Acknowledgement 18

Thanks for your attention! Questions? 19