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Korea Institute of Atmospheric Prediction Systems (KIAPS) ( 재 ) 한국형수치예보모델개발사업단 Comparison of Radiation Schemes Using a Single Colum Model Joonsuk Lee Jung-Yoon.

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Presentation on theme: "Korea Institute of Atmospheric Prediction Systems (KIAPS) ( 재 ) 한국형수치예보모델개발사업단 Comparison of Radiation Schemes Using a Single Colum Model Joonsuk Lee Jung-Yoon."— Presentation transcript:

1 Korea Institute of Atmospheric Prediction Systems (KIAPS) ( 재 ) 한국형수치예보모델개발사업단 Comparison of Radiation Schemes Using a Single Colum Model Joonsuk Lee Jung-Yoon Kang Emilia Kyung Jin 2013 KOMES Spring Meeting & KIAPS International Workshop

2 Contents  Objective  Implementation of Other Schemes to the UM  Results from UM SCM  Future Plans 2

3 Objective

4 Objective 4 Stage 1 (2011~2013)  Establishment of the Foundation & Development of Source Technology Develop and evaluate radiation parameterization  Developing Test Model Improve radiation parameterization  Developing Operational Model Evaluate, improve, and complete radiation parameterization on the operational model Stage 2 (2014~2016) Stage 3 (2017~2019)  Development of radiation parameterization as a part of physics package for the KIAPS operational global NWP model

5 Objective 5 Stage 1 (2011~2013)  Establishment of the Foundation & Development of Source Technology Develop and evaluate radiation parameterization  Developing Test Model Improve radiation parameterization  Developing Operational Model Evaluate, improve, and complete radiation parameterization on the operational model Stage 2 (2014~2016) Stage 3 (2017~2019)  Evaluate radiation parameterization schemes using single column model

6 Implementation of Other Schemes to the UM

7 7 Radiation Scheme at Each NWP Model Organization UK Met Office NCEPNRLECMWFNCARUCAR Model UMGFSNOGAPSIFSWRFCESM Radiation Scheme Edwards- Slingo , Sun- Edwards- Slingo RRTM ,  Harshvard han RRTMRRTM, RRTMG, New Goddard , Fu-Liou- Gu , CAM, GFDL RRTMG   Implemented to the UM SCM and global model  Offline code

8 Schematic of Radiation Calculation 8 Input data setup (Developmental Testbed Center)

9 UM ES (Edwards and Slingo, 1996; Cusack et al., 1999) WRF Goddard (Chou and Suarez, 1999; Chou et al., 2001) WRF Fu-Liou-Gu (Fu and Liou, 1992; 1993) GFS RRTM (Mlawer et al, 1997) No. of Bands SW 611614 LW 9101216 Gases H 2 O, O 3, CO 2, N 2 O, CH4, CFC11, CFC12 H 2 O, CO 2, O 3, N 2 O, CH4, CFC11, CFC12 H 2 O, CO 2, O 3, N 2 O, CH4, CFC11, CFC12, CO, NO, SO 2, NO 2, O 2, CH 3 Cl H 2 O, CO 2, O 3, N 2 O, CH 4, CO, O 2, CFC11, CFC12, CFC22, CCL4 Gaseous absorption Correlated k-distribution method Cloud and condensate water cloud, ice cloud, snow, rain, and graupel water cloud, ice cloud, snow, and rain Cloud overlap Maximum-Random overlap Calculation of flux Two-stream (clear-sky) mixed-column, maximum-column (cloudy) Two-stream adding Delta 4-stream approx. (SW) Delta 2-stream approx. (LW) Two-stream adding Comparison of Radiation Schemes

10 Overview of Implementation of Other Radiation Schemes to the UM Atmos_physics1 scm_main scm_shell atm_step u_model umshell flumemain ni_rad_ctl UM main program Perform an atmosphere timestep Radiation control SCUM main program Slow physics processes glue_rad r2_swrad3c r2_lwrad3c Radiation timestep? Sunlight? flux_calc Yes Shortwave Longwave Calculate flux glue_rad r2_swrad3c r2_lwrad3c Radiation timestep? Sunlight? flux_calc Yes Shortwave Longwave Calculate flux new_rad r2_swrad3c_wrf r2_lwrad3c_wrf Radiation timestep? Sunlight? flux_calc_wrf Yes Shortwave Longwave Calculate flux New Radiation scheme? Yes No

11 Results from UM SCM

12 12 Single Column Model - SGP site  ARM-2000 SGP IOP (Atmospheric Radiation Measurement – 2000 Intensive Operation Period at the Southern Great Plains) Period: March, 2000 Location: Centered near Lamont, Oklahoma 25°N~45°N, 120°W~80°W (Center of Lat. and Lon.: 36.61°N, 97.49°W)  Configuration of Single Column Model Model run period: 17:30 UTC, March 1, 2000 ~ 17:30 UTC, March 21, 2000 (20 days) Timestep: 900 s Forcing data: 17:30 UTC March 1, 2000 ~ 8:30 UTC March 1, 2000 (every 3 hours)

13 UM ES (Edwards and Slingo, 1996; Cusack et al., 1999) WRF Goddard (Chou and Suarez, 1999; Chou et al., 2001) WRF Fu-Liou-Gu (Fu and Liou, 1992; 1993) GFS RRTM No. of Bands SW 611614 LW 9101216 Gases H 2 O, O 3, CO 2, N 2 O, CH4, CFC11, CFC12 H 2 O, CO 2, O 3, N 2 O, CH4, CFC11, CFC12 H 2 O, CO 2, O 3, N 2 O, CH4, CFC11, CFC12, CO, NO, SO 2, NO 2, O 2, CH 3 Cl H 2 O, CO 2, O 3, N 2 O, CH 4, CO, O 2, CFC11, CFC12, CFC22, CCL4 Gaseous absorption Correlated k-distribution method Cloud and condensate water cloud, ice cloud, snow, rain, and graupel water cloud, ice cloud, snow, and rain Cloud overlap Maximum-Random overlap Calculation of flux Two-stream (clear-sky) mixed-column, maximum-column (cloudy) Two-stream adding Delta 4-stream approx. (SW) Delta 2-stream approx. (LW) Two-stream adding Run time1m 6s 1m 10s 1m 23s1m 7s Single Column Model - SGP site

14 14  Vertical distributions of cloud fraction from observation, Edwards- Slingo, Goddard, and Fu-Liou-Gu scheme  All four schemes overestimated upper and middle level clouds.

15 Single Column Model - SGP site 15  Mean fluxes (W/m 2 ) ESRRTMGoddardFLG LW UP TOA200.2211.9214.9226.7 LW DN SFC305.2305.8287.5292.9 LW UP SFC357.1358.1355.0360.7 SW UP TOA141.7148.1116.7125.0 SW DN SFC137.2148.8179.0180.5 SW UP SFC23.325.331.036.1

16 Single Column Model - SGP site  Comparison of heating rate profile

17 17  Difference of SW heating rate from Edwards-Slingo method Single Column Model - SGP site

18  Comparison of cooling rate profile

19 19  Difference of LW cooling rate from Edwards-Slingo method Single Column Model - SGP site

20 20  Heating rate, cooling rate, and temperature profile for clear sky showed similar patterns with small differences  Temperature profile in the troposphere was very similar between four schemes.  Vertical profile of (a) heating rate, (b) cooling rate, and (c) temperature for clear sky (a) (b) (c)

21 Summary and Future Plans  Radiation schemes were evaluated using single column model.  Each scheme showed differences in fluxes and heating/cooling rate mainly due to the differences in the prediction of cloud amounts.  Evaluate radiation schemes thoroughly using single column model, offline code, and KIAPS 3D framework  compare fluxes and heating/cooling rate between measurement, single column model, offline code, 3D model  evaluate sensitivity of gases, clouds, aerosols, etc.  Develop or improve radiation parameterization scheme through extensive evaluation

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