SIMULATION OF ATMOSPHERIC STATES FOR THE CASE OF YEONG-GWANG STORM SURGE ON 31 MARCH 2007 : MODEL COMPARISON BETWEEN MM5, WRF AND COAMPS
|
|
- Simon Nicholson
- 6 years ago
- Views:
Transcription
1 SIMULATION OF ATMOSPHERIC STATES FOR THE CASE OF YEONG-GWANG STORM SURGE ON 31 MARCH 2007 : MODEL COMPARISON BETWEEN MM5, WRF AND COAMPS JEONG-WOOK LEE 1 ; KYUNG-JA HA 1* ; KI-YOUNG HEO 1 ; KWANG-SOON PARK 2 ; KI-CHEON JUN 2 1 Division of Earth Environmental System, Pusan National University Busan, Republic of Korea jwl1101@pusan.ac.kr ; corresponding author, kjha@pusan.ac.kr * ; kyheo21@pusan.ac.kr 2 Coastal Engineering Research Division, Korea Ocean Research & Development Institute Ansan, Republic of Korea kspark@kordi.re.kr; kcjun@kordi.re.kr ABSTRACT The highly qualified information for the sea level pressure and sea surface wind stress is required to predict the storm surge in the Korean Peninsula. The storm surge on 31 March 2007 at Yeong- Gwang was very unusual in the presence over the western coast and in the cause of the usual mesoscale cyclone development. In the present study, we attempt to produce the reliable surface wind, and sea level pressure using the optimal physical parameterizations for the high wind condition in the different els such as MM5, WRF, and COAMPS. To select the optimal physics combination for the high wind, we designed three experiments (EXP1, EXP2, and EXP3) with different parameterization combinations (Eta PBL and Betts-Miller cumulus, Eta PBL and Grell cumulus, and MRF PBL and Kain-Fritsch cumulus) for MM5 and WRF. As a result, the EXP2 and EXP3 showed the good performance in terms of the magnitude and the evolution of the cyclone, respectively. The COAMPS el simulated well the evolution but for a smaller magnitude. The WRF and MM5 with EXP2 physics have an early evolution and a delayed maximum magnitude, respectively. As cause responsible for the meso-β scale cyclone development, the warm advection, moisture flux and its convergence, and convective instability were explored by MM5 and WRF with EXP2. Keywords: Storm surge, sea level pressure, sea surface wind, MM5, WRF, COAMPS 1. INTRODUCTION On 31 March 2007, the storm surge struck the Yeong-Gwang in the cause of the mesoscale cyclone development. The invaded storm surge occurs with the high tide
2 simultaneously, the sea-surface height was recorded above the high water level culminating 703 cm, which is corresponding to the additional sea-surface height of approximately 200 cm from the height of Yeong-Gwang high tide (Fig. 1) at 1631UTC 30 March Wave is supposed to be generated by superposition and amplification because of the same speed of cyclone and wave formed by the cyclone (Seo at al., 2007). Sea level height at Yeong-Gwang FIGURE 1 TEMPORAL VARIATION OF SEA LEVEL HEIGHT OBTAINED BY OBSERVATION AT YEONG-GWANG. Figure 2 shows the surface weather chart on 30 March On 09 UTC 30 March 2007, small scale cyclone and anticyclone were located at Korean Peninsula (Fig. 2a). The quickly generated cyclone as shown in black box of the figure 2b on 15 UTC 30 March 2007 was dissipated and the pattern of air pressure moved eastward on 21 UTC 30 March 2007 (Fig. 2c). (a) 09 UTC 30 Mar (b) 15 UTC 30 Mar (c) 21 UTC 30 Mar FIGURE 2 SURFACE WEATHER CHART ON (A) 09 UTC 30 MARCH 2007, (B) 15 UTC 30 MARCH 2007, AND (C) 21 UTC 30 MARCH 2007.
3 Generally, the storm surge frequently occurred due to the typhoon over the East or South coasts in the Korean Peninsula. However, this case is exceptional one generated by meso-β scale cyclone with center pressure of 1010hPa at Yeong-Gwang near the western Coast of Korea (Fig. 2b). To predict the storm surge, accurate sea level pressure and sea surface wind are required. Very few studies are found in the literature (Seo and Chang, 2003; Kim et al., 2006) of sea surface wind simulated by regional els near the coast of Korea. Seo and Chang (2003) have analyzed the characteristics of the monthly mean sea surface winds and wind waves near the Korean marginal seas in the 2002 year on the basis of prediction results of the sea surface winds from MM5/KMA el. Kim et al. (2006) carried out sensitivity experiment of sea surface wind based on PBL schemes (Medium-range Forecast, MRF and Mellor-Yamada- Janjic, MYJ) and dynamic frame of MM5 and WRF. In this study, we select the optimal physics combination for the high wind (Davis and Simon, 2001; Ivanov and Palamarchuk, 2007) in Fifth-generation Mesoscale Model (MM5) and Weather Research and Forecasting el (WRF) and examine the results between MM5, WRF and The Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) for the time evolution of surface wind and sea level pressure associated with cyclone. Finally, we try to investigate the cause of the cyclone development. 2. MODELS AND EXPERIMENTAL DESIGN MM5 version 3.7, WRF version 2.2 and COAMPS version 3.1 are used in this study. The nested domains over the center of 35.0 N and E are covered with 115 (in longitude) ⅹ 124 (in latitude) grids in the 27 km mesh and 175 (in longitude) ⅹ238 (in latitude) grids in the 9 km mesh systems, respectively. Initial and boundary conditions are based on the NCEP Final Analysis (FNL) for MM5 and WRF and come from NOGAPS and several satellite data of GOES, QuikSCAT, SSMI, and so on for COAMPS. The simulations were executed from 00 UTC 30 March 2007 to 00 UTC 31 March Except for the COAMPS el, three sets of experiments are carried out to select the physics options which can accurately simulate the magnitude and the evolution of the cyclone for the high wind condition (Table 1). EXP1 and EXP2 are selected from the best physical parameterizations for tropical cyclone prediction (Davis and Simon, 2001) and EXP3 comes from the best optimal parameterization scheme sets for the atmospheric variables such as temperature, geopotential height (Ivanov and Palamarchuk, 2007). The selected physics schemes are applied to the MM5 and WRF el and then the results are compared with the output of COAMPS el. Betts-Miller (Betts and Miller, 1993) scheme is the most popular for tropical systems, but it produces few downdrafts and has a tendency to spinup vortices too easily. With weak tropical cyclones there can be numerous small-scale cyclonic spinups away from the storm center for Grell scheme (Grell, 1993). Grell is the only MM5 scheme that is routinely run near
4 10 km grid spacing (Davis and Simon, 2001). The Kain-Fritsch scheme (Kain and Fritsch, 1993) has not been run extensively in the tropics. The MRF PBL scheme (Hong and Pan, 1996) tends to produce boundary layers that are too deep and too dry outside the eye wall of mature hurricanes (Braun and Tao, 2000) and may be adequate if storms are weak. TABLE 1 - EXPERIMENTAL DESIGNS FOR PHYSICS OPTIONS. Physics Options EXP1 EXP2 EXP3 PBL Scheme Eta Eta MRF Cumulus Scheme Betts-Miller Grell Kain-Fritsch Explicit Moisture Scheme Mixed phase Surface Scheme Five-Layer Soil Radiation Scheme RRTM longwave scheme 3. EXPERIMENT RESULT (a) Optimal combination of parameterization To select the optimal physics combination for the high wind, we executed three experiments with different parameterization. (b) MM5 EXP1 (c) MM5 EXP2 (d) MM5 EXP3 (a) QuikSCAT (e) WRF EXP1 (f) WRF EXP2 (g) WRF EXP3 FIGURE 3 HORIZONTAL DISTRIBUTION OF SEA SURFACE WIND OBTAINED BY (A) QUIKSCAT AND SIMULATED BY (B) MM5 EXP1, (C) MM5 EXP2, (D) MM5 EXP3, (E) WRF EXP1, (F) WRF EXP2 AND (G) WRF EXP3 ON 09 UTC 30 MARCH 2007.
5 Figure 3 shows the horizontal distribution of wind speed at 10 m height on 09 UTC 30 March Figure 3(a) is ervation from the QuikSCAT surface wind speed and Figs. 3(b)-3(g) show the simulated sea surface wind speed using MM5 and WRF with different physics for Table 1. Observation displays strong wind region in the western part of Yellow Sea, South Sea and East Sea. All experiments simulate the strong wind speed region in the western part of Yellow Sea and East Sea while only WRF EXP1 and WRF EXP2 simulate the strong wind speed region in the South Sea. (b) MM5 EXP1 (c) MM5 EXP2 (d) MM5 EXP3 (a) QuikSCAT (e) WRF EXP1 (f) WRF EXP2 (g) WRF EXP3 FIGURE 4 SAME AS FIGURE 3 EXCEPT FOR 21 UTC 30 MARCH Figure 4 shows the horizontal distribution of wind speed on 21 UTC 30 March Observation displays strong wind region in the East China Sea, Yellow Sea and East Sea. MM5 simulations show the stronger wind over the northern part of Yellow Sea, compared to the ervation. Overall, wind speed simulated by WRF is stronger than MM5. All experiments simulate the strong wind speed region in the East China Sea except for the MM5 EXP1. In general, EXP2 and EXP3 show better distributions compared to the EXP1, even though the speeds in the western Korean Peninsula are underestimated. For the evaluation of horizontal distribution of simulations, statistics of the BIAS (mean error), RMSE (Root Mean Square Error), SI (Scatter Index), and CORR (Correlation Coefficient) are used (given in Table 2). Where N is the total number of grid point except for the land and missing data. W ( W ) is the wind speed of el (ervation) and
6 W ( W ) is the mean wind speed of el (ervation) for the area. Table 2. The equations for validation scores. Validation scores BIAS RMSE 1 N 1 N Equation ( W W ) ( W W ) 2 SI CORR 1 N ( W W BIAS ) N 1 N 1 ( W ( W W W W ) 2 )( W 1 N 1 W ( W ) W ) 2 Table 3 shows the result of statistics over the whole domain on 09 UTC 30 March 2007 and 21 UTC 30 March TABLE 3 - STATISTICS OF THE BIAS, RMSE, SI, AND CORRELATION OF SIMULATED WIND SPEED BY MM5 AND WRF MODEL OVER THE WHOLE DOMAIN ON 09 UTC 30 MARCH 2007 and 21 UTC 30 March Model EXP BIAS RMSE SI CORR EXP UTC 30 MM5 EXP2 EXP March EXP WRF EXP2 EXP UTC 30 March 2007 MM5 WRF EXP1 EXP2 EXP3 EXP1 EXP2 EXP All experiments have negative values on 09 UTC 30 March, while all experiments have positive values on 21 UTC 30 March for the BIAS. It means that wind speeds of els
7 are underestimated on 09 UTC and overestimated on 21 UTC. RMSE and SI have the lower values and CORR has the higher value for the EXP3 than other experiments on 09 UTC 30 March EXP1 and EXP2 have the better value in terms of the SI and CORR on 21 UTC 30 March 2007 for the MM5 and WRF, respectively. Overall, EXP2 showed the good performance in terms of the distribution and the magnitude of wind speed, especially in the case of strong wind. (b) Model comparison To examine the simulations of cyclone development, three runs of MM5 with EXP2, WRF with EXP2, COAMPS are compared. Horizontal distribution of wind speed and sea level pressure simulated by three els on 16 UTC 30 March 2007 is shown in Fig. 5. Models simulate the cyclone in the southern part of western Korean Peninsula, and the result shows the anticyclone in the north of the cyclone as shown in black box of the figure. The WRF well simulates the developed meso-β scale cyclone whereas COAMPS shows the cyclone westward from the south-western part of Korean Peninsula. The distribution of wind speed is well corresponding to that of the sea level pressure. (a) MM5 EXP2 (b) WRF EXP2 (c) COAMPS FIGURE 5 HORIZONTAL DISTRIBUTION OF WIND SPEED AND SEA LEVEL PRESSURE SIMULATED BY (A) MM5 EXP2, (B) WRF EXP2 AND (C) COAMPS AT 16 UTC 30 MARCH 2007.
8 Figure 6 displays the time series of wind speed and sea level pressure obtained by ervation and simulations by MM5, WRF and COAMPS el. The most strong wind speed occurs at the 16 UTC 30 March. Before that maximum peak, wind speed shows weak peak on 04 UTC and 08 UTC 30 March and it falls to the zero at 12 UTC 30. Maximum wind speed arrives at the time of 16 UTC 30 March, showing the rapid development with about 12m/s speed for five hours. The COAMPS el simulated well the evolution but for a smaller magnitude. The WRF and MM5 with EXP2 physics have an early evolution and a delayed maximum magnitude, respectively. As time goes, simulated sea level pressures show the stronger second peak after the first peak, compared to that of ervation. (a) Wind speed (10 m) (b) Sea level pressure FIGURE 6 TEMPORAL VARIATION OF (A) WIND SPEED AND (B) SEA LEVEL PRESSURE OBTAINED BY OBSERVATION AND SIMULATIONS WITH MM5, WRF, AND COAMPS AT YEONG-GWANG. 4. THE CAUSE OF THE CYCLONE DEVELOPMENT We compared the atmospheric state to investigate the cause of the cyclone development. Low-level warm air advection, convective instability, low-level moisture flux and its convergence and longitude-height cross-section of temperature were investigated.
9 Figure 7 shows the horizontal distribution of temperature advection at 900hPa. Figure 7(a) and Fig. 7b are analysis data from the NCEP Final Analysis (FNL) and Figs. 7(c)-7(h) show the simulated temperature advection using MM5, WRF and COAMPS. To measure the temperature advection, we used Eq. (1) v T (1) [ⅹ10-3 K s -1 ] FIGURE 7 - HORIZONTAL DISTRIBUTION OF WARM AIR ADVECTION (ⅹ10-3 K s -1 ) AT 900hPa SIMULATED BY (A) ANALYSIS DATA ON 06 UTC 30 MARCH 2007, (B) ANALYSIS DATA ON 12 UTC 30 MARCH 2007, (C) MM5, (D) WRF AND (E) COAMPS ON 06 UTC 30 MARCH 2007 AND (F) MM5, (G) WRF AND (H) COAMPS ON 12 UTC 30 MARCH. The region of warm advection over 3.0ⅹ10-3 K s -1 is shaded. Analysis data showed that warm advection region is situated in the Eastern part of the China with the core (116 E, 35 N) on 06 UTC 30 March 2007 (Fig. 7a). As time goes on, the region of warm advection moves eastward and extends to the broad area. On 12 UTC 30 March 2007, the warm
10 advection arrived in the Korean Peninsula and the core is located at E, 35.5 N (Fig. 7b). All els well simulated the region of warm advection and the core compared with the analysis data. On 06 UTC 30 March 2007, COAMPS el showed that the warm advection region is located at more eastward to the Korean Peninsula and the core is weaker than MM5 and WRF. It is proved that WRF simulated broad region of warm advection over 9 ⅹ10-3 K s - 1 compared with MM5 and COAMPS in the Yellow Sea on 12 UTC 30 March To measure the convective instability, the gradient between equivalent potential temperature ( θ e ) at 900 hpa and θ e at 850 hpa are calculated (Fig. 8). Where the positive value means stable and the negative value means unstable. [ K ] FIGURE 8 - SAME AS FIGURE 7 EXCEPT FOR CONVECTIVE INSTABILITY (DIFFERENCE BETWEEN EQUIVALENT POTENTIAL TEMPERATURE ( θ e ) at 850 hpa AND θ e at 900 hpa, K). Analysis data showed that stable region is located from Eastern part of China to Yellow Sea and instable region is located on the Southeastern part of China and southwestern part of Korean Peninsula on 06 UTC 30 March 2007 (Fig. 8a). As time goes, the pattern
11 moves north-eastward and stable region is destabilized in the Yellow Sea (Fig. 8b). All els well simulated the stable region while all els had the large value of convective instability over -10K compared with the analysis data, especially in COAMPS el. Convective instability fields occur at the western Korean peninsula, which is corresponding to the area of downstream of warm advections. And the warm air advection destabilizes the low layer from 900hPa to 850hPa. [ ms -1 ] [ⅹ10-6 s -1 ] FIGURE 9 - SAME AS FIGURE 7 EXCEPT FOR MOISTURE FLUX (VECTOR, m s -1 ) AND ITS CONVERGENCE (SHADED, ⅹ10-6 s -1 ). Figure 9 shows the horizontal distribution of moisture flux and its convergence at 900hPa. Moisture flux and its convergence are calculated by v q and ( q v), respectively. The region of moisture convergence over 2.0ⅹ10-6 s -1 is shaded. Analysis data showed that the convergence of moisture flux region is situated in the Eastern part of the China on 06 UTC 30 March 2007 (Fig. 9a). As time goes, the region of moisture convergence
12 moves north-eastward and extends to the broad area. On 12 UTC 30 March 2007, the moisture flux is transported north-eastward and the convergence of moisture flux region is generated over the Yellow Sea (Fig. 9b). All els well simulated the moisture flux and moisture convergence region compared with the analysis data. The strong moisture convergence merges to the warm air advection area. Low-level warm advection destabilizes the low-level, and then moisture flux contributes to enhance the development of the cyclone. It has been shown that MM5 and WRF simulated broad region of moisture convergence over 6.0ⅹ10-6 s -1 compared with the COAMPS. FIGURE 10 - LONGITUDE-HEIGHT CROSS-SECTION OF TEMPERATURE ( C) AT 35.25N FROM 116E TO 130E SIMULATED BY (A) ANALYSIS DATA ON 06 UTC 30 MARCH 2007, (B) ANALYSIS DATA ON 12 UTC 30 MARCH 2007, (C) MM5, (D) WRF AND (E) COAMPS ON 06 UTC 30 MARCH 2007 AND (F) MM5, (G) WRF AND (H) COAMPS ON 12 UTC 30 MARCH. We also compared the longitude-height cross-section of temperature at N from 116 E to 130 E to analysis the cause of the cyclone development (Fig. 10). Almost all of warm cores are existed at 900 hpa. There are two warm cores (116 E-124 E and 126 E-130 E) on 06 UTC 30 March 2007 and the cores are merged and developed on 12 UTC 30 March [ C ]
13 2007 in analysis data. All els well simulated the warm core compared with the analysis data, especially in COAMPS el. On 06 UTC 30 March 2007, all els had the core from 116 E to 125 E and COAMPS had another core from 126 E to E. As time goes, the core was developed and extended eastward. 5. DISCUSSION Yeong-Gwang case on 31 March 2007 is very exceptional one that generated by meso-β scale cyclone with center pressure of 1010hPa. To predict the storm surge, accurate sea level pressure and sea surface wind are required. In this study, the atmospheric conditions of the storm surge case are simulated according to the different el of MM5, WRF and COAMPS and physics options. And we selected the physics options as the optimal parameterizations for the high wind condition and investigated the cause of the cyclone development. At first, EXP1 (Eta PBL and Betts-Miller cumulus), EXP2 (Eta PBL and Grell cumulus), EXP3(MRF PBL and Kain-Fritsch cumulus) with MM5 and WRF were designed for the optimal combination of physics. EXP2 and EXP3 show better distributions of strong wind speed region compared to the EXP1. According to the statistics for the evaluation of horizontal distribution of simulations, EXP1 and EXP2 have the better value for MM5 and WRF, respectively. Although there is a somewhat difficulty in selecting the optimal physics options, EXP2 showed the good performance in terms of the distribution and the magnitude of wind speed. It has been shown that different els make much of a difference on the magnitude and the evolution of the cyclone. The results for three runs of MM5 with EXP2, WRF with EXP2 and COAMPS showed that the distribution of wind speed is well corresponding to that of the sea level pressure. The WRF and MM5 with EXP2 physics have an early evolution and a delayed maximum magnitude respectively while COAMPS el simulated well the evolution but for a smaller magnitude. The cause of the cyclone development is considered by multiple components of warm advection, moisture flux and its convergence, and convective instability. The results of the numerical simulations performed in this study showed that WRF simulated well the developed meso-β scale cyclone. WRF simulation is stronger than MM5 and COAMPS in the western Korean peninsula in terms of warm advection and moisture convergence. Lowlevel warm advection destabilized the low-level, and then moisture flux contributes to enhance the development of the cyclone.. Acknowledgement This work was supported by Top-Brand project of KORDI and the Brain Korea 21 Project in 2006/7.
14 REFERENCES 1. A. K. Betts and M. J. Miller, The representation of cumulus convection in numerical els of the atmosphere, The Betts-Miller scheme, 246pp, 1993, Amer. Meteor. Soc.. 2. C. A. Davis and S. Low-Nam, The NCAR-AFWA Tropical Cyclone Bogussing Scheme, A Report Prepared for the Air Force Weather Agency (AFWA), National Center for Atmospheric Research Boulder, Colorado, 2001, pp G. A. Grell, Prognostic evaluation of assumptions used by cumulus parameterizations, Mon. Wea. Rev. 121 (1993), J. S. Kain and J. M. Fritsch, The representation of cumulus convection in numerical els, Convective parameterization for mesoscale els: The Kain-Fritsch scheme, Eds. K.A. Emanuel and D.J. Raymond, Eds., Amer. Meteor. Soc., 1993, pp J.-W. Seo and Y.-S. Chang, Characteristics of the Monthly Mean Sea Surface Winds and Wind Waves near the Korean Marginal Seas in the 2002 Year Computed Using MM5/KMA and WAVEWATCH-Ш el, Journal of the Korean Society of Oceanography, 8(2003), S.-Y. Hong and H.-L. Pan, Nocturnal boundary layer vertical diffusion a medium-range forecast el, Mon. Wea. Rev. 124 (1996), S. A. Braun and W.-K. Tao, Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations, Mon. Wea. Rev. 128 (2000), S.-N. Seo, S.-G. Kim, K.-S. Park, and Y.-J. Yeon, Analysis of Storm Surges over Southwest Coasts of Korea in the year 2007, Proc. The Korean Association of Ocean Science and Technology Societies Joint Meeting, Seoul, 2007, pp S. Ivanov and Y. Palamarchuk, Systematic Error of Parameterization Schemes in the MM5 Model, Proceedings of The 3rd WGNE Workshop on Systematic Errors in Climate and NWP Models, Februrary, San Francisco, 2007, pp Y.-K. Kim, J.-H. Jeong, J.-H Bae, I.-B Oh, J.-H Kweon and J.-W Seo, Improvement in the Simulation of Sea Surface Wind over the Complex Coastal Area Using WRF Model, Journal of the Korean Society for atmospheric Environment, 22(2006),
Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective
Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective Ming-Jen Yang Institute of Hydrological Sciences, National Central University 1. Introduction Typhoon Nari (2001) struck
More information608 SENSITIVITY OF TYPHOON PARMA TO VARIOUS WRF MODEL CONFIGURATIONS
608 SENSITIVITY OF TYPHOON PARMA TO VARIOUS WRF MODEL CONFIGURATIONS Phillip L. Spencer * and Brent L. Shaw Weather Decision Technologies, Norman, OK, USA Bonifacio G. Pajuelas Philippine Atmospheric,
More informationSchool of Earth and Environmental Sciences, Seoul National University. Dong-Kyou Lee. Contribution: Dr. Yonhan Choi (UNIST/NCAR) IWTF/ACTS
School of Earth and Environmental Sciences, Seoul National University Dong-Kyou Lee Contribution: Dr. Yonhan Choi (UNIST/NCAR) IWTF/ACTS CONTENTS Introduction Heavy Rainfall Cases Data Assimilation Summary
More informationABSTRACT 2 DATA 1 INTRODUCTION
16B.7 MODEL STUDY OF INTERMEDIATE-SCALE TROPICAL INERTIA GRAVITY WAVES AND COMPARISON TO TWP-ICE CAM- PAIGN OBSERVATIONS. S. Evan 1, M. J. Alexander 2 and J. Dudhia 3. 1 University of Colorado, Boulder,
More informationThe Effect of Sea Spray on Tropical Cyclone Intensity
The Effect of Sea Spray on Tropical Cyclone Intensity Jeffrey S. Gall, Young Kwon, and William Frank The Pennsylvania State University University Park, Pennsylvania 16802 1. Introduction Under high-wind
More informationThe Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science
The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science Outline Basic Dynamical Equations Numerical Methods Initialization
More informationCHAPTER 8 NUMERICAL SIMULATIONS OF THE ITCZ OVER THE INDIAN OCEAN AND INDONESIA DURING A NORMAL YEAR AND DURING AN ENSO YEAR
CHAPTER 8 NUMERICAL SIMULATIONS OF THE ITCZ OVER THE INDIAN OCEAN AND INDONESIA DURING A NORMAL YEAR AND DURING AN ENSO YEAR In this chapter, comparisons between the model-produced and analyzed streamlines,
More informationWeather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004
Weather Research and Forecasting Model Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Outline What does WRF model do? WRF Standard Initialization WRF Dynamics Conservation Equations Grid staggering
More informationImpact of different cumulus parameterizations on the numerical simulation of rain over southern China
Impact of different cumulus parameterizations on the numerical simulation of rain over southern China P.W. Chan * Hong Kong Observatory, Hong Kong, China 1. INTRODUCTION Convective rain occurs over southern
More informationA New Ocean Mixed-Layer Model Coupled into WRF
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2012, VOL. 5, NO. 3, 170 175 A New Ocean Mixed-Layer Model Coupled into WRF WANG Zi-Qian 1,2 and DUAN An-Min 1 1 The State Key Laboratory of Numerical Modeling
More informationSTORM SURGE SIMULATION IN NAGASAKI DURING THE PASSAGE OF 2012 TYPHOON SANBA
STORM SURGE SIMULATION IN NAGASAKI DURING THE PASSAGE OF 2012 TYPHOON SANBA D. P. C. Laknath 1, Kazunori Ito 1, Takahide Honda 1 and Tomoyuki Takabatake 1 As a result of global warming effect, storm surges
More informationP Hurricane Danielle Tropical Cyclogenesis Forecasting Study Using the NCAR Advanced Research WRF Model
P1.2 2004 Hurricane Danielle Tropical Cyclogenesis Forecasting Study Using the NCAR Advanced Research WRF Model Nelsie A. Ramos* and Gregory Jenkins Howard University, Washington, DC 1. INTRODUCTION Presently,
More informationMEA 716 Exercise, BMJ CP Scheme With acknowledgements to B. Rozumalski, M. Baldwin, and J. Kain Optional Review Assignment, distributed Th 2/18/2016
MEA 716 Exercise, BMJ CP Scheme With acknowledgements to B. Rozumalski, M. Baldwin, and J. Kain Optional Review Assignment, distributed Th 2/18/2016 We have reviewed the reasons why NWP models need to
More informationMesoscale predictability under various synoptic regimes
Nonlinear Processes in Geophysics (2001) 8: 429 438 Nonlinear Processes in Geophysics c European Geophysical Society 2001 Mesoscale predictability under various synoptic regimes W. A. Nuss and D. K. Miller
More informationSimulating orographic precipitation: Sensitivity to physics parameterizations and model numerics
Simulating orographic precipitation: Sensitivity to physics parameterizations and model numerics 2nd COPS-Meeting, 27 June 2005 Günther Zängl Overview A highly idealized test of numerical model errors
More informationNumerical Experiments of Tropical Cyclone Seasonality over the Western North Pacific
Numerical Experiments of Tropical Cyclone Seasonality over the Western North Pacific Dong-Kyou Lee School of Earth and Environmental Sciences Seoul National University, Korea Contributors: Suk-Jin Choi,
More informationSeoul National University. Ji-Hyun Ha, Gyu-Ho Lim and Dong-Kyou Lee
Numerical simulation with radar data assimilation over the Korean Peninsula Seoul National University Ji-Hyun Ha, Gyu-Ho Lim and Dong-Kyou Lee Introduction The forecast skill associated with warm season
More informationA New Typhoon Bogus Data Assimilation and its Sampling Method: A Case Study
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2011, VOL. 4, NO. 5, 276 280 A New Typhoon Bogus Data Assimilation and its Sampling Method: A Case Study WANG Shu-Dong 1,2, LIU Juan-Juan 2, and WANG Bin 2 1 Meteorological
More informationChanges of storm surge and typhoon intensities under the future global warming conditions Storm Surge Congress 2010
Changes of storm surge and typhoon intensities under the future global warming conditions Storm Surge Congress 2010 Il-Ju Moon & S. M. Oh Jeju (Cheju) National University, Korea Tropical Cyclone (TC) and
More informationA Study of Convective Initiation Failure on 22 Oct 2004
A Study of Convective Initiation Failure on 22 Oct 2004 Jennifer M. Laflin Philip N. Schumacher NWS Sioux Falls, SD August 6 th, 2011 Introduction Forecasting challenge: strong forcing for ascent and large
More informationKalimantan realistically (Figs. 8.23a-d). Also, the wind speeds of the westerly
suppressed rainfall rate (maximum vertical velocity) around 17 LST (Figs. 8.21a-b). These results are in agreement with previous studies (e. g., Emanuel and Raymond 1994). The diurnal variation of maximum
More informationWeather report 28 November 2017 Campinas/SP
Weather report 28 November 2017 Campinas/SP Summary: 1) Synoptic analysis and pre-convective environment 2) Verification 1) Synoptic analysis and pre-convective environment: At 1200 UTC 28 November 2017
More informationModeling rainfall diurnal variation of the North American monsoon core using different spatial resolutions
Modeling rainfall diurnal variation of the North American monsoon core using different spatial resolutions Jialun Li, X. Gao, K.-L. Hsu, B. Imam, and S. Sorooshian Department of Civil and Environmental
More informationPROJECTION OF FUTURE STORM SURGE DUE TO CLIMATE CHANGE AND ITS UNCERTAINTY A CASE STUDY IN THE TOKYO BAY
Proceedings of the Sixth International Conference on Asian and Pacific Coasts (APAC 2011) December 14 16, 2011, Hong Kong, China PROJECTION OF FUTURE STORM SURGE DUE TO CLIMATE CHANGE AND ITS UNCERTAINTY
More informationComparison of Typhoon Track Forecast using Dynamical Initialization Schemeinstalled
IWTC-LP 9 Dec 2014, Jeju, Korea Comparison of Typhoon Track Forecast using Dynamical Initialization Schemeinstalled WRF Hyeonjin Shin, WooJeong Lee, KiRyong Kang, 1) Dong-Hyun Cha and Won-Tae Yun National
More informationTHE IMPACT OF GROUND-BASED GPS SLANT-PATH WET DELAY MEASUREMENTS ON SHORT-RANGE PREDICTION OF A PREFRONTAL SQUALL LINE
JP1.17 THE IMPACT OF GROUND-BASED GPS SLANT-PATH WET DELAY MEASUREMENTS ON SHORT-RANGE PREDICTION OF A PREFRONTAL SQUALL LINE So-Young Ha *1,, Ying-Hwa Kuo 1, Gyu-Ho Lim 1 National Center for Atmospheric
More informationApplication of the Ems-Wrf Model in Dekadal Rainfall Prediction over the Gha Region Franklin J. Opijah 1, Joseph N. Mutemi 1, Laban A.
Application of the Ems-Wrf Model in Dekadal Rainfall Prediction over the Gha Region Franklin J. Opijah 1, Joseph N. Mutemi 1, Laban A. Ogallo 2 1 University of Nairobi; 2 IGAD Climate Prediction and Applications
More informationShu-Ya Chen 1, Tae-Kwon Wee 1, Ying-Hwa Kuo 1,2, and David H. Bromwich 3. University Corporation for Atmospheric Research, Boulder, Colorado 2
IMPACT OF GPS RADIO OCCULTATION DATA ON ANALYSIS AND PREDICTION OF AN INTENSE SYNOPTIC-SCALE STORM OVER THE SOUTHERN OCEAN NEAR THE ANTARCTIC PENINSULA Shu-Ya Chen 1, Tae-Kwon Wee 1, Ying-Hwa Kuo 1,2,
More informationThe feature of atmospheric circulation in the extremely warm winter 2006/2007
The feature of atmospheric circulation in the extremely warm winter 2006/2007 Hiroshi Hasegawa 1, Yayoi Harada 1, Hiroshi Nakamigawa 1, Atsushi Goto 1 1 Climate Prediction Division, Japan Meteorological
More informationWRF Model Simulated Proxy Datasets Used for GOES-R Research Activities
WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities Jason Otkin Cooperative Institute for Meteorological Satellite Studies Space Science and Engineering Center University of Wisconsin
More informationRegional Scale Modeling and Numerical Weather Prediction
Regional Scale Modeling and Numerical Weather Prediction Jimy Dudhia NCAR/MMM Mesoscale & Microscale Meteorological Division / NCAR Overview of talk WRF Modeling System Overview WRF Model Dynamics Physics
More informationPolar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio
JP2.14 ON ADAPTING A NEXT-GENERATION MESOSCALE MODEL FOR THE POLAR REGIONS* Keith M. Hines 1 and David H. Bromwich 1,2 1 Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University,
More informationDepartment of Meteorology, University of Utah, Salt Lake City, UT. Second revision. Submitted to Monthly Weather Review.
Sensitivity of Numerical Simulation of Early Rapid Intensification of Hurricane Emily (2005) to Cloud Microphysical and Planetary Boundary Layer Parameterizations XUANLI LI and ZHAOXIA PU * Department
More informationA COMPARISON OF VERY SHORT-TERM QPF S FOR SUMMER CONVECTION OVER COMPLEX TERRAIN AREAS, WITH THE NCAR/ATEC WRF AND MM5-BASED RTFDDA SYSTEMS
A COMPARISON OF VERY SHORT-TERM QPF S FOR SUMMER CONVECTION OVER COMPLEX TERRAIN AREAS, WITH THE NCAR/ATEC WRF AND MM5-BASED RTFDDA SYSTEMS Wei Yu, Yubao Liu, Tom Warner, Randy Bullock, Barbara Brown and
More informationCold air outbreak over the Kuroshio Extension Region
Cold air outbreak over the Kuroshio Extension Region Jensen, T. G. 1, T. Campbell 1, T. A. Smith 1, R. J. Small 2 and R. Allard 1 1 Naval Research Laboratory, 2 Jacobs Engineering NRL, Code 7320, Stennis
More informationDiurnal Variation of Simulated 2007 Summertime Precipitation over South Korea in a Real-Time Forecast Model System
Asia-Pacific J. Atmos. Sci., 46(4), 505-512, 2010 DOI:10.1007/s13143-010-0032-1 Diurnal Variation of Simulated 2007 Summertime Precipitation over South Korea in a Real-Time Forecast Model System Kyungna
More informationSensitivity of tropical cyclone Jal simulations to physics parameterizations
Sensitivity of tropical cyclone Jal simulations to physics parameterizations R Chandrasekar and C Balaji Department of Mechanical Engineering, Indian Institute of Technology, Madras, Chennai 6 36, India.
More informationA comparative study on the genesis of North Indian Ocean cyclone Madi (2013) and Atlantic Ocean cyclone Florence (2006)
A comparative study on the genesis of North Indian Ocean cyclone Madi (2013) and Atlantic Ocean cyclone Florence (2006) VPM Rajasree 1, Amit P Kesarkar 1, Jyoti N Bhate 1, U Umakanth 1 Vikas Singh 1 and
More informationP1.2 SENSITIVITY OF WRF MODEL FORECASTS TO DIFFERENT PHYSICAL PARAMETERIZATIONS IN THE BEAUFORT SEA REGION
P1.2 SENSITIVITY OF WRF MODEL FORECASTS TO DIFFERENT PHYSICAL PARAMETERIZATIONS IN THE BEAUFORT SEA REGION Jeremy R. Krieger *, Jing Zhang Arctic Region Supercomputing Center, University of Alaska Fairbanks
More informationJoshua M. Boustead *1 NOAA/NWS WFO Omaha/Valley, NE. Philip N. Schumacher NOAA/NWS WFO Sioux Falls, SD
11B.2 Influence of Diabatic Potential Vorticity Anomalies upon Warm Conveyor Belt Flow. Part II: 3-5 January 2005 Joshua M. Boustead *1 NOAA/NWS WFO Omaha/Valley, NE Philip N. Schumacher NOAA/NWS WFO Sioux
More informationInitialization of Tropical Cyclone Structure for Operational Application
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Initialization of Tropical Cyclone Structure for Operational Application PI: Tim Li IPRC/SOEST, University of Hawaii at
More informationPrecipitation in climate modeling for the Mediterranean region
Precipitation in climate modeling for the Mediterranean region Simon Krichak Dept. of Geophysics Atmospheric and Planetary Sciences, Tel Aviv University, Israel Concepts for Convective Parameterizations
More informationSensitivity of precipitation forecasts to cumulus parameterizations in Catalonia (NE Spain)
Sensitivity of precipitation forecasts to cumulus parameterizations in Catalonia (NE Spain) Jordi Mercader (1), Bernat Codina (1), Abdelmalik Sairouni (2), Jordi Cunillera (2) (1) Dept. of Astronomy and
More informationMeteorological Modeling using Penn State/NCAR 5 th Generation Mesoscale Model (MM5)
TSD-1a Meteorological Modeling using Penn State/NCAR 5 th Generation Mesoscale Model (MM5) Bureau of Air Quality Analysis and Research Division of Air Resources New York State Department of Environmental
More informationProjected change in the East Asian summer monsoon from dynamical downscaling
Copyright KIOST, ALL RIGHTS RESERVED. Projected change in the East Asian summer monsoon from dynamical downscaling : Moisture budget analysis Chun-Yong Jung 1,2, Chan Joo Jang 1*, Ho-Jeong Shin 1 and Hyung-Jin
More informationInteraction between the orography-induced gravity wave drag and boundary layer processes in a global atmospheric model
GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L12809, doi:10.1029/2008gl037146, 2009 Interaction between the orography-induced gravity wave drag and boundary layer processes in a global atmospheric model Young-Joon
More information8.3 A STUDY OF AIR-SEA INTERACTIONS AND ASSOCIATED TROPICAL HURRICANE ACTIVITY OVER GULF OF MEXICO USING SATELLITE DATA AND NUMERICAL MODELING
8.3 A STUDY OF AIR-SEA INTERACTIONS AND ASSOCIATED TROPICAL HURRICANE ACTIVITY OVER GULF OF MEXICO USING SATELLITE DATA AND NUMERICAL MODELING R. Suseela Reddy*, Alexander Schwartz, Praveena Remata, Jamese
More informationMélicie Desflots* RSMAS, University of Miami, Miami, Florida
15B.6 RAPID INTENSITY CHANGE IN HURRICANE LILI (2002) Mélicie Desflots* RSMAS, University of Miami, Miami, Florida 1. INTRODUCTION Rapid intensity change in tropical cyclones is one of the most difficult
More informationKi-Hong Min 1*, Seonhee Choo 2, and Gyuwon Lee 1, and Kyung-Eak Kim 1,3
Ki-Hong Min 1*, Seonhee Choo 2, and Gyuwon Lee 1, and Kyung-Eak Kim 1,3 1 School of Earth System Sciences, Major in Atmospheric Science, Kyungpook National University, Daegu, South Korea 2 Forecast Technology
More informationDepartment of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
10A.4 TROPICAL CYCLONE FORMATIONS IN THE SOUTH CHINA SEA CHENG-SHANG LEE 1 AND YUNG-LAN LIN* 1, 2 1 Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan 2 Taipei Aeronautic Meteorological
More informationKelly Mahoney NOAA ESRL Physical Sciences Division
The role of gray zone convective model physics in highresolution simulations of the 2013 Colorado Front Range Flood WRF model simulated precipitation over terrain in CO Front Range Kelly Mahoney NOAA ESRL
More informationObservations and Modeling of SST Influence on Surface Winds
Observations and Modeling of SST Influence on Surface Winds Dudley B. Chelton and Qingtao Song College of Oceanic and Atmospheric Sciences Oregon State University, Corvallis, OR 97331-5503 chelton@coas.oregonstate.edu,
More informationTyphoon Relocation in CWB WRF
Typhoon Relocation in CWB WRF L.-F. Hsiao 1, C.-S. Liou 2, Y.-R. Guo 3, D.-S. Chen 1, T.-C. Yeh 1, K.-N. Huang 1, and C. -T. Terng 1 1 Central Weather Bureau, Taiwan 2 Naval Research Laboratory, Monterey,
More informationDevelopment of a Coupled Atmosphere-Ocean-Land General Circulation Model (GCM) at the Frontier Research Center for Global Change
Chapter 1 Atmospheric and Oceanic Simulation Development of a Coupled Atmosphere-Ocean-Land General Circulation Model (GCM) at the Frontier Research Center for Global Change Project Representative Tatsushi
More informationPost Processing of Hurricane Model Forecasts
Post Processing of Hurricane Model Forecasts T. N. Krishnamurti Florida State University Tallahassee, FL Collaborators: Anu Simon, Mrinal Biswas, Andrew Martin, Christopher Davis, Aarolyn Hayes, Naomi
More informationVerification of the Seasonal Forecast for the 2005/06 Winter
Verification of the Seasonal Forecast for the 2005/06 Winter Shingo Yamada Tokyo Climate Center Japan Meteorological Agency 2006/11/02 7 th Joint Meeting on EAWM Contents 1. Verification of the Seasonal
More informationRadiosonde campaign in Paranal Observatory 2011: PWV measurement.
Radiosonde campaign in Paranal Observatory 2011: PWV measurement. Omar Cuevas, Arlette Chacón & Michel Curé AstroMeteorology group, Physics and Astronomy Department, Universidad de Valparaíso, Chile. 1
More informationAdvanced Hurricane WRF (AHW) Physics
Advanced Hurricane WRF (AHW) Physics Jimy Dudhia MMM Division, NCAR 1D Ocean Mixed-Layer Model 1d model based on Pollard, Rhines and Thompson (1973) was added for hurricane forecasts Purpose is to represent
More informationEvaluation of High-Resolution WRF Model Simulations of Surface Wind over the West Coast of India
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2014, VOL. 7, NO. 5, 458 463 Evaluation of High-Resolution WRF Model Simulations of Surface Wind over the West Coast of India S. VISHNU and P. A. FRANCIS Indian
More informationMaximization of Historical Severe Precipitation Events over American, Yuba and Feather River Basins
Maximization of Historical Severe Precipitation Events over merican, Yuba and Feather River Basins M. L. Kavvas 1, K. Ishida 1, S. Jang 1, N. Ohara 2, Z.Q.Chen 3, and M. nderson 3 1 University Of California,
More informationUse of Satellite Observations to Measure Air-Sea Coupling and to Validate Its Estimates from Numerical Atmospheric Models
Use of Satellite Observations to Measure Air-Sea Coupling and to Validate Its Estimates from Numerical Atmospheric Models Natalie Perlin, Dudley Chelton, Simon de Szoeke College of Earth, Ocean, and Atmospheric
More informationWater Balance in the Murray-Darling Basin and the recent drought as modelled with WRF
18 th World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09 Water Balance in the Murray-Darling Basin and the recent drought as modelled with WRF Evans, J.P. Climate
More informationXuanli LI and Zhaoxia PU. Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, USA
Journal of the Meteorological Society of Japan, Vol. 87, No. 3, pp. 403--421, 2009. 403 DOI:10.2151/jmsj.87.403 Sensitivity of Numerical Simulations of the Early Rapid Intensification of Hurricane Emily
More information15.6 A NUMERICAL MODELING STUDY OF THE MICROPHYSICAL PROCESSES LEADING TO TROPICAL CYCLOGENESIS UNDER DIFFERENT ENVIRONMENTAL CONDITIONS
15.6 A NUMERICAL MODELING STUDY OF THE MICROPHYSICAL PROCESSES LEADING TO TROPICAL CYCLOGENESIS UNDER DIFFERENT ENVIRONMENTAL CONDITIONS Andrew B. Penny* and Elizabeth A. Ritchie Department of Atmospheric
More informationImplementation and Evaluation of a Mesoscale Short-Range Ensemble Forecasting System Over the Pacific Northwest
Implementation and Evaluation of a Mesoscale Short-Range Ensemble Forecasting System Over the Pacific Northwest Eric P. Grimit and Clifford F. Mass Department of Atmospheric Sciences, University of Washington
More informationDISTRIBUTION STATEMENT A: Distribution approved for public release; distribution is unlimited.
DISTRIBUTION STATEMENT A: Distribution approved for public release; distribution is unlimited. INITIALIZATION OF TROPICAL CYCLONE STRUCTURE FOR OPERTAIONAL APPLICATION PI: Tim Li IPRC/SOEST, University
More information11B.1 INFLUENCE OF DIABATIC POTENTIAL VORTICITY ANOMALIES UPON WARM CONVEYOR BELT FLOW. PART I: FEBRUARY 2003
INFLUENCE OF DIABATIC POTENTIAL VORTICITY ANOMALIES UPON WARM CONVEYOR BELT FLOW. PART I: 14-15 FEBRUARY 2003 Philip N. Schumacher, NOAA/NWS, Sioux Falls, SD Joshua M. Boustead, NOAA/NWS, Valley, NE Martin
More informationSimulating roll clouds associated with low-level convergence in WRF
Simulating roll clouds associated with low-level convergence in WRF Abhnil Prasad1,3, Steven Sherwood1,3 and Hélène Brogniez2 1 Climate Change Research Centre, University of New South Wales, Sydney, NSW,
More information10B.2 THE ROLE OF THE OCCLUSION PROCESS IN THE EXTRATROPICAL-TO-TROPICAL TRANSITION OF ATLANTIC HURRICANE KAREN
10B.2 THE ROLE OF THE OCCLUSION PROCESS IN THE EXTRATROPICAL-TO-TROPICAL TRANSITION OF ATLANTIC HURRICANE KAREN Andrew L. Hulme* and Jonathan E. Martin University of Wisconsin-Madison, Madison, Wisconsin
More informationA Snow-Ratio Equation and Its Application to Numerical Snowfall Prediction
644 W E A T H E R A N D F O R E C A S T I N G VOLUME 23 A Snow-Ratio Equation and Its Application to Numerical Snowfall Prediction KUN-YOUNG BYUN, JUN YANG,* AND TAE-YOUNG LEE Laboratory for Atmospheric
More informationDirect radiative forcing due to aerosols in Asia during March 2002
Direct radiative forcing due to aerosols in Asia during March 2002 Soon-Ung Park, Jae-In Jeong* Center for Atmospheric and Environmental Modeling *School of Earth and Environmental Sciences, Seoul National
More informationTHE INFLUENCE OF HIGHLY RESOLVED SEA SURFACE TEMPERATURES ON METEOROLOGICAL SIMULATIONS OFF THE SOUTHEAST US COAST
THE INFLUENCE OF HIGHLY RESOLVED SEA SURFACE TEMPERATURES ON METEOROLOGICAL SIMULATIONS OFF THE SOUTHEAST US COAST Peter Childs, Sethu Raman, and Ryan Boyles State Climate Office of North Carolina and
More informationImportance of air-sea interaction on the coupled typhoon-wave-ocean modeling
Importance of air-sea interaction on the coupled typhoon-wave-ocean modeling Collaborators: I. Ginis (GSO/URI) T. Hara (GSO/URI) B. Thomas (GSO/URI) H. Tolman (NCEP/NOAA) IL-JU MOON ( 文一柱 ) Cheju National
More information6.2 REAL-DATA AND IDEALIZED SIMULATIONS OF THE 4 JULY 2004 BOW ECHO EVENT
6.2 REAL-DATA AND IDEALIZED SIMULATIONS OF THE 4 JULY 2004 BOW ECHO EVENT Kent H. Knopfmeier*, Robert J. Trapp, and Dustan M. Wheatley Purdue University, West Lafayette, IN 1. INTRODUCTION The propensity
More informationVictor Homar * and David J. Stensrud NOAA/NSSL, Norman, Oklahoma
3.5 SENSITIVITIES OF AN INTENSE CYCLONE OVER THE WESTERN MEDITERRANEAN Victor Homar * and David J. Stensrud NOAA/NSSL, Norman, Oklahoma 1. INTRODUCTION The Mediterranean region is a very active cyclogenetic
More informationDepartment of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina
FEBRUARY 2009 H I L L A N D L A C K M A N N 745 Analysis of Idealized Tropical Cyclone Simulations Using the Weather Research and Forecasting Model: Sensitivity to Turbulence Parameterization and Grid
More informationThe Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2015, VOL. 8, NO. 6, 371 375 The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height HUANG Yan-Yan and
More information2. Outline of the MRI-EPS
2. Outline of the MRI-EPS The MRI-EPS includes BGM cycle system running on the MRI supercomputer system, which is developed by using the operational one-month forecasting system by the Climate Prediction
More informationP2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC
P2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC Joo-Hong Kim*, Chang-Hoi Ho School of Earth and Environmental Sciences, Seoul National University, Korea
More informationSchool of Atmospheric Sciences, Sun Yat-sen University, Guangzhou , China 2
1 2 3 4 5 6 7 8 9 10 Article Sensitivity of Different Parameterizations on Simulation of Tropical Cyclone Durian over the South China Sea using Weather Research and Forecasting (WRF) model Worachat Wannawong
More informationImproved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics
Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics Tieh-Yong KOH 1 and Ricardo M. FONSECA 2 1 Singapore University of Social Sciences, Singapore 2
More informationNOTES AND CORRESPONDENCE. Applying the Betts Miller Janjic Scheme of Convection in Prediction of the Indian Monsoon
JUNE 2000 NOTES AND CORRESPONDENCE 349 NOTES AND CORRESPONDENCE Applying the Betts Miller Janjic Scheme of Convection in Prediction of the Indian Monsoon S. S. VAIDYA AND S. S. SINGH Indian Institute of
More informationAdjoint-based forecast sensitivities of Typhoon Rusa
GEOPHYSICAL RESEARCH LETTERS, VOL. 33, L21813, doi:10.1029/2006gl027289, 2006 Adjoint-based forecast sensitivities of Typhoon Rusa Hyun Mee Kim 1 and Byoung-Joo Jung 1 Received 20 June 2006; revised 13
More informationAssessing Potential Impact of Air Pollutant Observations from the Geostationary Satellite on Air Quality Prediction through OSSEs
Assessing Potential Impact of Air Pollutant Observations from the Geostationary Satellite on Air Quality Prediction through OSSEs Ebony Lee 1,2, Seon Ki Park 1,2,3, and Milija Županski4 1 Department of
More information7 December 2016 Tokyo Climate Center, Japan Meteorological Agency
Summary of the 2016 Asian Summer Monsoon 7 December 2016 Tokyo Climate Center, Japan Meteorological Agency This report summarizes the characteristics of the surface climate and atmospheric/oceanographic
More informationClimatology of Surface Wind Speeds Using a Regional Climate Model
Climatology of Surface Wind Speeds Using a Regional Climate Model THERESA K. ANDERSEN Iowa State University Mentors: Eugene S. Takle 1 and Jimmy Correia, Jr. 1 1 Iowa State University ABSTRACT Long-term
More informationThe cientificworldjournal. Sujata Pattanayak, U. C. Mohanty, and Krishna K. Osuri. 1. Introduction
The Scientific World Journal Volume 12, Article ID 671437, 18 pages doi:1.1/12/671437 The cientificworldjournal Research Article Impact of Parameterization of Physical Processes on Simulation of Track
More informationResearch Article Numerical Simulations and Analysis of June 16, 2010 Heavy Rainfall Event over Singapore Using the WRFV3 Model
International Atmospheric Sciences Volume 2013, Article ID 825395, 8 pages http://dx.doi.org/.1155/2013/825395 Research Article Numerical Simulations and Analysis of June 16, 20 Heavy Rainfall Event over
More informationEnsemble Trajectories and Moisture Quantification for the Hurricane Joaquin (2015) Event
Ensemble Trajectories and Moisture Quantification for the Hurricane Joaquin (2015) Event Chasity Henson and Patrick Market Atmospheric Sciences, School of Natural Resources University of Missouri 19 September
More informationA comparison of MM5 and meteo mast wind profiles at Cabauw, The Netherlands and Wilhelmshaven, Germany
A comparison of MM and meteo mast wind profiles at Cabauw, The Netherlands and Wilhelmshaven, Germany Francesco Durante 1, Tim de Paus 2,3 1 DEWI, German Wind Energy Institute Ebertstr. 96, D-26382 Wilhelmshaven,
More informationHindcasting of Storm Surge by Typhoon 0314(Maemi) in Masan Bay, Korea
Hindcasting of Storm Surge by Typhoon 0314(Maemi) in Masan Bay, Korea See-Whan Kang 1 ;Kicheon Jun 1 ; Kwang-Soon Park 1 ; Sung-Dae Han 2 1 Coastal Engineering Research Division, Korea Ocean Research and
More informationUpgrade of JMA s Typhoon Ensemble Prediction System
Upgrade of JMA s Typhoon Ensemble Prediction System Masayuki Kyouda Numerical Prediction Division, Japan Meteorological Agency and Masakazu Higaki Office of Marine Prediction, Japan Meteorological Agency
More informationQUANTITATIVE VERIFICATION STATISTICS OF WRF PREDICTIONS OVER THE MEDITERRANEAN REGION
QUANTITATIVE VERIFICATION STATISTICS OF WRF PREDICTIONS OVER THE MEDITERRANEAN REGION Katsafados P. 1, Papadopoulos A. 2, Mavromatidis E. 1 and Gikas N. 1 1 Department of Geography, Harokopio University
More information4.3.2 Configuration. 4.3 Ensemble Prediction System Introduction
4.3 Ensemble Prediction System 4.3.1 Introduction JMA launched its operational ensemble prediction systems (EPSs) for one-month forecasting, one-week forecasting, and seasonal forecasting in March of 1996,
More informationNOTES AND CORRESPONDENCE. What Has Changed the Proportion of Intense Hurricanes in the Last 30 Years?
1432 J O U R N A L O F C L I M A T E VOLUME 21 NOTES AND CORRESPONDENCE What Has Changed the Proportion of Intense Hurricanes in the Last 30 Years? LIGUANG WU Laboratory for Atmospheres, NASA Goddard Space
More informationInfluences of PBL Parameterizations on Warm-Season Convection-Permitting Regional Climate Simulations
Influences of PBL Parameterizations on Warm-Season Convection-Permitting Regional Climate Simulations Stan Trier (NCAR/MMM) Andreas Prein (NCAR/ASP) and Changhai Liu (NCAR/RAL) GEWEX Convection-Permitting
More informationLogistics. Goof up P? R? Can you log in? Requests for: Teragrid yes? NCSA no? Anders Colberg Syrowski Curtis Rastogi Yang Chiu
Logistics Goof up P? R? Can you log in? Teragrid yes? NCSA no? Requests for: Anders Colberg Syrowski Curtis Rastogi Yang Chiu Introduction to Numerical Weather Prediction Thanks: Tom Warner, NCAR A bit
More informationSimulating the formation of Hurricane Katrina (2005)
GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L11802, doi:10.1029/2008gl033168, 2008 Simulating the formation of Hurricane Katrina (2005) Yi Jin, 1 Melinda S. Peng, 1 and Hao Jin 2 Received 2 January 2008; revised
More information11 days (00, 12 UTC) 132 hours (06, 18 UTC) One unperturbed control forecast and 26 perturbed ensemble members. --
APPENDIX 2.2.6. CHARACTERISTICS OF GLOBAL EPS 1. Ensemble system Ensemble (version) Global EPS (GEPS1701) Date of implementation 19 January 2017 2. EPS configuration Model (version) Global Spectral Model
More informationNUMERICAL SIMULATION OF A BAY OF BENGAL TROPICAL CYCLONE: A COMPARISON OF THE RESULTS FROM EXPERIMENTS WITH JRA-25 AND NCEP REANALYSIS FIELDS
NUMERICAL SIMULATION OF A BAY OF BENGAL TROPICAL CYCLONE: A COMPARISON OF THE RESULTS FROM EXPERIMENTS WITH JRA-25 AND NCEP REANALYSIS FIELDS Dodla Venkata Bhaskar Rao Desamsetti Srinivas and Dasari Hari
More information