An investigation of the goshen county, wyoming, tornadic supercell of 5 june 2009 using EnKF assimilation of mobile mesonet and radar observations collected during VORTEX2. Part I: Experiment design and verification of the EnKF analyses

Monthly Weather Review

Volumn 142, Issue 2, 2014, Pages 530-554

  Marquis, James ^a   Richardson, Yvette ^a   Markowski, Paul ^a   Dowell, David ^b   Wurman, Joshua ^c   Kosiba, Karen ^c   Robinson, Paul ^c   Romine, Glen ^d  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c Center for Severe Weather Research Colorado   (United States)

^d NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84893828102     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-13-00007.1     Document Type: Article

References (53)

1. Aksoy, A., D.C. Dowell, and C. Snyder, 2009: A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part I: Storm-scale analyses. Mon. Wea. Rev., 137, 1805-1824.
2. Anderson, J.L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
3. Anderson, J.L., 2009: Spatially and temporally varying adaptive covariance inflation for ensemble filters. Tellus, 61, 72-83.
4. Anderson, J.L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn, and A. Avellano, 2009: The Data Assimilation Research Testbed: Acommunity facility. Bull. Amer. Meteor. Soc., 90, 1283-1296.
5. Annan, J.D., J.C. Hargreaves, N.R. Edwards, and R. Marsh, 2005: Parameter estimation in an intermediate complexity earth system model using an ensemble Kalman filter. Ocean Modell., 8, 135-154.
6. Brandes, E.A., 1977: Flow in severe thunderstorms observed by dual-Doppler radar. Mon. Wea. Rev., 105, 113-120.
7. Brandes, E.A., 1981: Finescale structure of the Del City-Edmund tornadic mesocirculation. Mon. Wea. Rev., 109, 635-647.
8. Brandes, E.A., 1984: Vertical vorticity generation and mesocyclone sustenance in tornadic thunderstorms: The observational evidence. Mon. Wea. Rev., 112, 2253-2269.
9. Brooks, H.E., C.A. Doswell III, and J. Cooper, 1994: On the environments of tornadic and nontornadic mesocyclones. Wea. Forecasting, 9, 606-618.
10. Dahl, J.M., M.D. Parker, and L.J. Wicker, 2012: Uncertainties in trajectory calculations within near-surface mesocyclones of simulated supercells. Mon. Wea. Rev., 140, 2959-2966.
11. Davies-Jones, R., and H.E. Brooks, 1993: Mesocyclogenesis from a theoretical perspective. The Tornado: Its Structure, Dynamics, Prediction, and Hazards, Geophys. Monogr., Vol. 79, Amer. Geophys. Union, 105-114.
12. Dawson, D.T. II, M. Xue, J. Milbrandt, and M.K. Yau, 2010: Comparison of evaporation and cold pool development between single-moment and multimoment bulk microphysics schemes in idealized simulations of tornadic thunderstorms. Mon. Wea. Rev., 138, 1152-1171.
13. Dawson, D.T. II, L.J. Wicker, and E.R. Mansell, 2012: Impact of the environmental low-level wind profile on ensemble forecasts of the 4 May 2007 Greensburg, Kansas, tornadic storm and associated mesocyclones. Mon. Wea. Rev., 140, 696-716.
14. Dowell, D.C., and H.B. Bluestein, 2002: The 8 June 1995 McLean, Texas, storm. Part II: Cyclic tornado formation, maintenance, and dissipation. Mon. Wea. Rev., 130, 2649-2670.
15. Dowell, D.C., and L.J. Wicker, 2009:Additive noise for storm-scale ensemble data assimilation. J. Atmos. Oceanic Technol., 26, 911-927.
16. Dowell, D.C., F. Zhang, L.J. Wicker, C. Snyder, and N.A. Crook, 2004: Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell: Ensemble Kalman filter experiments. Mon. Wea. Rev., 132, 1982-2005.
17. Dowell, D.C., L.J. Wicker, and C. Snyder, 2011: Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma supercell: Influences of reflectivity observations on storm-scale analyses. Mon. Wea. Rev., 139, 272-294.
18. Emanuel, K.A., 1994: Atmospheric Convection. Oxford University Press, 580 pp.
19. Gaspari, G., and S.E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723-757.
20. Gilmore, M.S., J.M. Straka, and E.N. Rasmussen, 2004: Precipitation and evolution sensitivity in simulated deep convective storms: Comparisons between liquid-only and simple ice and liquid phase microphysics. Mon. Wea. Rev., 132, 1897- 1916.
21. Jung, Y., M. Xue, and M. Tong, 2012: Ensemble Kalman filter analyses of the 29-30 May 2004 Oklahoma tornadic thunderstorm using one- and two-moment bulk microphysics schemes, with verification against polarimetric radar data. Mon. Wea. Rev., 140, 1457-1475.
22. Kosiba, K., J. Wurman, Y. Richardson, P. Markowski, P. Robinson, and J.Marquis, 2012:Genesis of the Goshen County,Wyoming tornado on 5 June 2009 during VORTEX2. Mon. Wea. Rev., 141, 1157-1181.
23. Lin, Y., R.D. Farley, and H.D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092.
24. Markowski, P.M., 2002: Hook echoes and rear-flank downdrafts:A review. Mon. Wea. Rev., 130, 852-876.
25. Markowski, P.M., J.M. Straka, and E.N. Rasmussen, 2002: Direct surface thermodynamic observations within the rear-flank downdrafts of nontornadic and tornadic supercells. Mon. Wea. Rev., 130, 1692-1721.
26. Markowski, P.M., J.M. Straka, and E.N. Rasmussen, 2003: Tornadogenesis resulting from the transport of circulation by a downdraft: Idealized numerical simulations. J. Atmos. Sci., 60, 795-823.
27. Markowski, P.M., J.M. Straka, and Coauthors, 2012a: The pretornadic phase of the Goshen County, Wyoming, supercell of 5 June 2009 intercepted by VORTEX2. Part I: Evolution of kinematic and surface thermodynamic fields. Mon. Wea. Rev., 140, 2887- 2915.
28. Markowski, P.M., J.M. Straka, Y. Richardson, J.Marquis, J.Wurman, K. Kosiba, P. Robinson, E. Rasmussen, and D. Dowell, 2012b: The pretornadic phase of the Goshen County, Wyoming, supercell of 5 June 2009 intercepted by VORTEX2. Part II: Intensification of low-level rotation. Mon. Wea. Rev., 140, 2916-2938.
29. Marquis, J., Y. Richardson, P. Markowski, D. Dowell, and J. Wurman, 2012: Tornadomaintenance investigated with highresolution dual-Doppler and EnKF analysis. Mon. Wea. Rev., 140, 3-27.
30. Mashiko, W.,H. Niino, and T. Kato, 2009: Numerical simulation of tornadogenesis in an outer-rainband minisupercell of Typhoon Shanshan on 17 September 2006. Mon. Wea. Rev., 137, 4238-4260.
31. Milbrandt, J.A., and M.K. Yau, 2005a: A multimoment bulk microphysics parameterization. Part I: Analysis of the role of the spectral shape parameter. J. Atmos. Sci., 62, 3051-3064.
32. Milbrandt, J.A., and M.K. Yau, 2005b: A multimoment bulk microphysics parameterization. Part II: A proposed three-moment closure and scheme description. J. Atmos. Sci., 62, 3065-3081.
33. Morrison, H., and J. Milbrandt, 2011: Comparison of the twomoment bulk microphysics schemes in idealized supercell thunderstorm simulations. Mon. Wea. Rev., 139, 1103- 1130.
34. Morrison, H., J.A. Curry, and V.I. Khvorostyanov, 2005: A new doublemoment microphysics parameterization for application in cloud and climate models. Part I: Description. J. Atmos. Sci., 62, 1665-1677.
35. Noda, A.T., and H. Niino, 2010: A numerical investigation of a supercell tornado: Genesis and vorticity budget. J. Meteor. Soc. Japan, 88, 135-159.
36. Palmer, R., and Coauthors, 2009: Weather education at the University of Oklahoma-An integrated approach. Bull. Amer. Meteor. Soc., 90, 1277-1282.
37. Potvin, C.K., and L.J. Wicker, 2012: Comparison between dual- Doppler and EnKF storm-scale wind analyses: Observing system simulation experiments with a supercell thunderstorm. Mon. Wea. Rev., 140, 3972-3991.
38. Ray, P.S., C.L. Ziegler, W. Bumgarner, and R.J. Serafin, 1980: Single- and multiple-Doppler radar observations of tornadic storms. Mon. Wea. Rev., 108, 1607-1625.
39. Richardson, Y., P.M. Markowski, J. Wurman, K. Kosiba, P. Robinson, and J. Marquis, 2012: The Goshen County, Wyoming, supercell of 5 June 2009 intercepted by VORTEX2: Tornado dissipation phase. Preprints, 26th Conf. on Severe Local Storms, Nashville, TN, Amer. Meteor. Soc., 6.6. [Available online at https://ams.confex.com/ams/25SLS/ webprogram/Paper176231.html.]
40. Rotunno, R., and J. Klemp, 1985: On the rotation and propagation of simulated supercell thunderstorms. J. Atmos. Sci., 42, 271-292.
41. Skamarock, W.C., J.B. Klemp, J. Dudhia, D.O. Gill, D.M. Barker, W. Wang, and J.G. Posers, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note TN-4681STR, 88 pp.
42. Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677.
43. Straka, J.M., E.N. Rasmussen, and S.E. Fredrickson, 1996: A mobile mesonet for finescale meteorological observations. J. Atmos. Oceanic Technol., 13, 921-936.
44. Sun, J., and N.A. Crook, 2001: Real-time low-level wind and temperature analysis using single WSR-88D data. Wea. Forecasting, 16, 117-132.
45. Tanamchi, R.L., L.J. Wicker, D.C. Dowell, H.B. Bluestein, D.T. Dawson, and M. Xue, 2012: EnKF assimilation of highresolution, mobile Doppler radar data of the 4 May 2007 Greensburg, Kansas, supercell into a numerical cloud model. Mon. Wea. Rev., 141, 625-648.
46. Wakimoto, R.M., and C. Liu, 1998: The Garden City, Kansas, storm during VORTEX 95. Part II: The wall cloud and tornado. Mon. Wea. Rev., 126, 393-408.
47. Waugh, S., and S.E. Fredrickson, 2010: An improved aspirated temperature system for mobile meteorological observations, especially in severe weather. Preprints, 25th Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., P5.2. [Available online at https://ams.confex.com/ams/25SLS/webprogram/ Paper176205.html.]
48. Weiss, C.C., and J.L. Schroeder, 2008: StickNet: A new portable, rapidly deployable surface observation system. Bull. Amer. Meteor. Soc., 89, 1502-1503.
49. Wicker, L.J., and R.B. Wilhelmson, 1995: Simulation and analysis of tornado development and decay within a three-dimensional supercell thunderstorm. J. Atmos. Sci., 52, 2675-2703.
50. Wurman, J., J.M. Straka, E.N. Rasmussen, M. Randall, and A. Zahrai, 1997: Design and deployment of a portable, pencilbeam, pulsed, 3-cmDoppler radar. J. Atmos.Oceanic Technol., 14, 1502-1512.
51. Wurman, J., D. Dowell, Y. Richardson, P. Markowski, E. Rasmussen, D. Burgess, L. Wicker, and H. Bluestein, 2012: The Second Verification of the Origins of Rotation in Tornadoes Experiment: VORTEX2. Bull. Amer. Meteor. Soc., 93, 1147-1170.
52. Yussouf, N., and D.J. Stensrud, 2012: Comparison of singleparameter and multiparameter ensembles for assimilation of radar observations using the ensemble Kalman filter. Mon. Wea. Rev., 140, 562-586.
53. Zhang, F., C. Snyder, and J. Sun, 2004: Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev., 132, 1238-1253.