Location-specific weather predictions for Sriharikota (13.72°N, 80.22°E) through numerical atmospheric models during satellite launch campaigns

D. Bala Subrahamanyam1, R. Ramachandran2, S. Indira Rani3, S. Sijikumar1, T. J. Anurose1, Ashish Ghosh4
1Space Physics Laboratory, Vikram Sarabhai Space Centre, Department of Space, Government of India, Indian Space Research Organization, Thiruvananthapuram, India
2ISRO Technical Liaison Unit, Embassy of India, Paris, France
3National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Government of India, Noida, India
4Meterological Facility, Satish Dhawan Space Centre, SHAR, Sriharikota, Andhra Pradesh, 524124, India

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Tài liệu tham khảo

Anthes RA, Warner TT (1974) Development of hydrodynamical models suitable for air pollution and other mesometeorological studies. Mon Weather Rev 106:1045–1078

Bannoon PR (1995) Hydrostatic adjustment: Lamb’s problem. J Atmos Sci 52:1743–1752

Businger JA, Wyngaard JC, Izumi Y, Bradley EF (1971) Flux-profile relationships in the atmospheric surface layer. J Atmos Sci 28:181–189

Case JL, Manobianco J, Oram TD, Garner T, Blottman PF, Spratt SM (2002) Local data integration over East-Central Florida using the ARPS data analysis system. Weather Forecast 17:3–26

Cox R, Bauer BL, Smith T (1998) A mesoscale model intercomparison. Bull Am Meteorol Soc 79:265–283

Das S, Mithra AK, Iyengar GR, Singh J (2002) Skill of medium-range forecasts over the Indian region using different parameterizations of deep cumulus convection. Weather Forecast 17:1194–1210

Dudhia J (1993) A non-hydrostatic version of Penn State–NCAR mesoscale model: validation tests and simulation of an Atlantic cyclone and cold front. Mon Weather Rev 121:1493–1513

Heise E, Schrodin R (2002) A multi-layer soil model including freezing/melting processes. Res Activities Atmospheric Ocean Model 32:4.11–4.12 (WMO/TD-No. 1105)

Kain JS, Fritsch JM (1993) Convective parameterization for mesoscale models: the Kain-Fritsch scheme. The representation of cumulus convection in numerical models. Meteor Monogr 24(46), Amer Meteor Soc 165–170

KSC Press Release (2000) Space shuttle weather launch commit criteria and KSC end of mission weather landing criteria. Available via http://www-pao.ksc.nasa.gov/kscpao/release/2000/15-00.htm , Accessed: October 20, 2009

Kuo HL (1965) On formation and intensification of tropical cyclones through latent heat release by cumulus convection. J Atmos Sci 22:40–63

Kuo HL (1974) Further studies of the parameterization of the influence of cumulus convection on large scale flow. J Atmos Sci 31:1232–1240

Louis JF (1979) A parametric model of vertical eddy fluxes in the atmosphere. Bound-Layer Meteor 17:187–202

Majewski D (2009) HRM-user’s guide. Deutsche Wetter Dienst (DWD). Offenbach, Germany, p 124

Manikiam B, Nayak MM, Jeyamani M, Shoba TS (2008) Satellite linked automatic weather station (AWS). In: Mainikiam B, Murthy TGK (eds) Technology development for atmospheric research and applications. Atmospheric Science Programme Office, Indian Space Research Organization, Bangalore, pp 9–37

Manobianco J, Zack W, Taylor GE (1996) Work station based real-time mesoscale modeling designed for weather support to operations at the Kennedy Space Center and Cape Canaveral Air Station. Bull Am Meteorol Soc 77:653–672

Mellor GL, Yamada T (1974) A hierarchy of turbulence closure models for planetary boundary layers. J Atmos Sci 31:1791–1806

Noilhan J, Planton S (1989) A simple parameterization of land surface processes for meteorological models. Mon Wea Rev 117:536–549

Pielke RA (1984) Mesoscale meteorological modeling. Academic Press, Orlando, p 612

Pleim JE, Xiu A (1995) Development and testing of a surface flux and planetary boundary layer model for application in mesoscale models. J Appl Meteorol 34:16–32

Radhika R (2008) DWR data assimilation in numerical weather prediction for forecast of thunderstorms at Sriharikota. In: Mainikiam B, Murthy TGK (eds) Technology development for atmospheric research and applications. Atmospheric Science Programme Office, Indian Space Research Organization, Bangalore, pp 463–487

Radhika R, Mohanty UC, Pattanayak S, Mandal M, Indira Rani S (2006) Location specific forecast at Sriharikota during the launch of GSLV-01. Curr Sci 91(3):285–295

Rakesh V, Singh R, Pal PK, Joshi PC (2007) Sensitivity of mesoscale model forecast during a satellite launch to different cumulus parameterization schemes in MM5. Pure Appl Geophys 164:1617–1637

Ritter B, Geleyn JF (1992) A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations. Mon Weather Rev 120:303–325

Satyanarayana S (2008) GPS radiosonde development, technology development for atmospheric research and applications. In: Mainikiam B, Murthy TGK (eds) Technology development for atmospheric research and applications. Atmospheric Science Programme Office, Indian Space Research Organization, Bangalore, pp 142–188

Singh R, Pal PK, Kishtawal CM, Joshi PC (2005) Impact of bogus vortex for track and intensity prediction of tropical cyclone. J Earth Syst Sci 114:427–436

Snook JS, Stamus PA, Edwards J, Christidis Z, Mcginley JA (1977) Local domain mesocale analysis and forecasting model output for the 1996 summer Olympic games. Weather Forecast 13:138–150

Subrahamanyam DB, Radhika R, Kunhikrishnan PK (2006) Improvements in simulations of atmospheric boundary layer parameters through data assimilation in ARPS mesoscale atmospheric model. In: Krishnamurti TN, Goswami BN, Iwasaki T (eds) Remote sensing of atmospheres and oceans, proceedings of SPIE, vol 6404, pp 1–10. doi: 10.1117/12.694106

Subrahamanyam DB, Indira Rani S, Ramachandran R, Kunhikrishnan PK (2008) Nudging of vertical profiles of meteorological parameters in one-dimensional atmospheric model: a step towards improvements in numerical simulations. Ocean Sci J 43(4):165–173

Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parameterization in large scale models. Mon Weather Rev 117:1779–1800

Xue M, Droegemeier KK, Wong V, Shapiro A, Brewster K (1995) ARPS Version 4.0 users’s guide, CAPS NSF, FAA, University of Oklahama, USA, pp 380

Xue M, Droegemeier KK, Wong V (2000) The advanced regional prediction system (ARPS)—a multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: model dynamics and verification. Meteorol Atmos Phys 75:161–193

Xue M, Droegemeier KK, Wong V, Shapiro A, Brewster K, Carrl F, Weber D, Liu Y, Wang D (2001) The advanced regional prediction system (ARPS)—a multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: model physics and applications. Meteorol Atmos Phys 76:143–165

Xue M, Wang D, Gao J, Brewster K, Droegemeier KK (2003) The advanced regional prediction system (ARPS), storm-scale numerical weather prediction and data assimilation. Meteorol Atmos Phys 82:139–170. doi: 10.1007/s00703-001-0595-6