10 th Annual CMAS Conference 24 26 th

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10 th Annual CMAS Conference 24 -26 th October, 2011 Regional Climate Downscaling Study

10 th Annual CMAS Conference 24 -26 th October, 2011 Regional Climate Downscaling Study in Eastern United States Yang Gao, Joshua S. Fu, John B. Drake and Yun-Fat Lam University of Tennessee, Knoxville Oct 26, 2011

Overview of the Study Community Earth System Model Regional Climate Model CESM 1. 0

Overview of the Study Community Earth System Model Regional Climate Model CESM 1. 0 WRF 3. 2. 1 D 2 D 3 D 1: 36 km by 36 km CONUS Global gridded domain D 2: 12 km by 12 km domain D 3: 4 km by 4 km Eastern US domain

Global Climate Model CESM Community Earth System Model - CESM 1. 0 Community Atmosphere

Global Climate Model CESM Community Earth System Model - CESM 1. 0 Community Atmosphere Model (CAM) Community Land Model (CLM) Community Sea Ice Model (CSIM) Spatial Resolution: 0. 9 x 1. 25 degree (~100 x 140 km) Ocean component (POP) Temporal Resolution: 3 hourly/Daily/monthly average data

Global Climate Simulation Scenarios RCP 8. 5 RCP 4. 5 RCP: 2005 2100 •

Global Climate Simulation Scenarios RCP 8. 5 RCP 4. 5 RCP: 2005 2100 • Representative Concentration Pathways (RCP) 4. 5 Low-medium emissions increasing scenario • Representative Concentration Pathways (RCP) 8. 5 Fossil fuel intensive scenario Source: http: //stratus. astr. ucl. ac. be/textbook/pdf/Chapter_6. pdf

Evaluation of CESM in Present Climate Daily average temperature at 2 meter from 2001

Evaluation of CESM in Present Climate Daily average temperature at 2 meter from 2001 -2010 Bias Correlation v NCEP/NCAR Reanalysis daily average data (2001 -2010) was used to evaluate CESM output. v. The overall biases are within -1. 5 to 1. 5 degree for majority of the areas and the correlation coefficient are mostly 0. 8 -0. 9 except the tropical areas.

Temperature Changes in Future Climate RCP 4. 5 RCP 8. 5 2050 2090 ØThe

Temperature Changes in Future Climate RCP 4. 5 RCP 8. 5 2050 2090 ØThe global mean projected temperature increases by 1. 2 ºC under RCP 4. 5 and 1. 7 ºC under RCP 8. 5 by 2050 s. ØBy the decade of 2090 s, the temperature increase reaches 1. 6 ºC under RCP 4. 5 and 4. 2 ºC under RCP 8. 5.

Motivation of heat wave studies Deaths in Chicago heat wave in 1995 http: //severe-wx.

Motivation of heat wave studies Deaths in Chicago heat wave in 1995 http: //severe-wx. pbworks. com/w/page/15957981/Droughts-and-Heat-Waves

How to Define Heat Waves? § Continuous night minimum temperatures Probability Distribution Source: CCSP,

How to Define Heat Waves? § Continuous night minimum temperatures Probability Distribution Source: CCSP, 2008 § Two maximum daily temperature thresholds T 1 and T 2: the 97. 5 th and 81 st percentiles A heat wave period is:

Heat Wave Duration and Frequency Heat Wave Duration Present climate 2001 -2010 RCP 4.

Heat Wave Duration and Frequency Heat Wave Duration Present climate 2001 -2010 RCP 4. 5 2050 -2059 RCP 8. 5 2050 -2059 Heat Wave Frequency

Daily Max T (K) Why are ocean heat wave durations higher? Land: 2001 -2010

Daily Max T (K) Why are ocean heat wave durations higher? Land: 2001 -2010 Land: 2050 -2059 Ocean: 2001 -2010 Ocean: 2050 -2059 The diurnal variations of ocean air temperature are much smaller than land, which leads to higher increase of heat wave duration

Seasonal extreme temperature durations 2050 -2059 2001 -2010 Global Land Global Ocean Dramatic increases

Seasonal extreme temperature durations 2050 -2059 2001 -2010 Global Land Global Ocean Dramatic increases in durations show up almost in every region in all the seasons

Linkage from Global to Regional Model 2001 -2004/2005 -2100 Global Model CESM chem link

Linkage from Global to Regional Model 2001 -2004/2005 -2100 Global Model CESM chem link met link WRF Regional Climate Model Heat waves SMOKE Emission Inventory CMAQ Regional Chemistry Model PM 2. 5, O 3, Dry/Wet depositions

Regional Simulation Domains Regional Model WRF Simulation domains D 2 D 3 D 1

Regional Simulation Domains Regional Model WRF Simulation domains D 2 D 3 D 1 Simulation period: Base: 2001 -2004 Future: RCP 8. 5 (2057 -2059)

Evaluation of Horizontal Patterns Temperature (2 meter) CESM WPS (K) • Spatial patterns are

Evaluation of Horizontal Patterns Temperature (2 meter) CESM WPS (K) • Spatial patterns are similar between CESM and WPS • Other variables (both surface and vertical layers) show similar patterns

Daily mean temperature from 2001 -2004 Temperature at 2 meter (unit: K) D 2

Daily mean temperature from 2001 -2004 Temperature at 2 meter (unit: K) D 2 D 3 MADIS WRF CESM • Similar diurnal trends were performed between CESM and WRF • Both CESM and WRF captures the major diurnal trends of MADIS (Meteorological Assimilation Data Ingest System)

Spatial patterns of precipitation UDel_Air. T_Precip WRF-D 2 CESM WRF-D 3 Improvement in WRF

Spatial patterns of precipitation UDel_Air. T_Precip WRF-D 2 CESM WRF-D 3 Improvement in WRF precipitations in Southeast areas compared with CESM, but overestimation in Northwest

Average temperature change from 2001 -2004 to 2057 -2059 CESM WRF-D 2 WRF-D 3

Average temperature change from 2001 -2004 to 2057 -2059 CESM WRF-D 2 WRF-D 3 • Overall, temperature increases by 1. 5 to 3. 5 K. • Temperature increase in WRF is slightly lower than CESM in Southeast US

Annual heat wave durations CESM 2001 -2004 2057 -2059 WRF 2001 -2004 2057 -2059

Annual heat wave durations CESM 2001 -2004 2057 -2059 WRF 2001 -2004 2057 -2059 • both CESM and WRF show significant increase of heat wave duration days • Compared with CESM, WRF shows slightly low increase in Northeast, but more spatial variations due to high resolution

Summary • Dynamical climate downscaling technique has been applied from CESM to WRF, and

Summary • Dynamical climate downscaling technique has been applied from CESM to WRF, and both CESM and WRF captures the major diurnal trends of MADIS • From both global and regional climate simulations, the heat wave duration in future shows significant increasing trends • In addition to climate downscaling, chemistry downscaling is show high heat wave duration increase in future climate conditions

Acknowledgement This research was supported in part by the National Science Foundation through Tera.

Acknowledgement This research was supported in part by the National Science Foundation through Tera. Grid resources provided by National Institute for Computational Sciences (NICS) under grant number [TG-ATM 110009]. 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. DEAC 05 -00 OR 22725. This work was partially sponsored by the Centers for Disease Control and Prevention (CDC) under a research project cooperative agreement (5 U 01 EH 000405).

Thanks for your attention! Questions?

Thanks for your attention! Questions?