Abstract
The global model analysis and forecast have a significant impact on the regional model predictions, as global model provides the initial and lateral boundary condition to regional model. This study addresses an important question whether the regional model can improve the short-range weather forecast as compared to the global model. The National Centers for Environmental Prediction (NCEP) Global Forecasting System (GFS) and the Weather Research and Forecasting (WRF) model are used in this study to evaluate the performance of global and regional models over the Indian region. A 24-h temperature and specific humidity forecast from the NCEP GFS model show less error compared to WRF model forecast. Rainfall prediction is improved over the Indian landmass when WRF model is used for rainfall forecast. Moreover, the results showed that high-resolution global model analysis (GFS4) improved the regional model forecast as compared to low-resolution global model analysis (GFS3).
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References
Adler RF, Bolun DT, Curtis S, Nelkin EJ (2000) Tropical rainfall distributions determined using TRMM combined with other satellite and rain gauge information. J Appl Meteorol 39:2007–2023
Aumann HH, Chahine MT, Gautier C, Goldberg MD, Kalnay E, McMillin LM, Revercomb H, Rosenkranz PW, Smith WL, Staelin DH, Strow LL, Susskind J (2003) AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products and processing systems. IEEE Trans Geosci Remote 41:253–264
Haddad ZS, Smith EA, Kummerow CD, Iguchi T, Farrar MR, Durden SL, Alves M, Olson WS (1997) The TRMM day-1 radar/radiometer combined rain-profiling algorithm. J Meteorol Soc Jpn 75:799–809
Huffman GJ, Adler RF, Bolvin DT, Gu GJ, Nelkin EJ, Bowman KP, Hong Y, Stocker EF, Wolff DB (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55
Kain JS, Fritsch JM (1990) A one-dimensional entraining/detraining plume model and its application in convective parameterization. J Atmos Sci 47:2784–2802. doi:10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2
Kain JS, Fritsch JM (1993) Convective parameterization for mesoscale models: the Kain–Fritcsh scheme. The representation of cumulus convection in numerical models. Emanuel KA and Raymond DJ (Eds), Amer Meteor Soc. 246 pp
Kumar P, Singh R, Joshi PC, Pal PK (2011) Impact of additional surface observation network on short range weather forecast during summer monsoon 2008 over Indian subcontinent. J Earth Syst Sci 120(1):53–64
Kumar P, Bhattacharya BK, Pal PK (2013) Impact of geo-stationary satellite INSAT-3A CCD generated vegetation fraction on regional model forecast. Agric For Meteorol 168:82–92. doi:10.1016/j.agrformet.2012.08.009
Kumar P, Kishtawal CM, Pal PK (2014a) Impact of direct rainfall assimilation on weather research and forecasting model forecast over tropical region. JGR-Atmos. doi:10.1002/2013JD020005
Kumar P, Bhattacharya BK, Nigam R, Kishtawal CM, Pal PK (2014b) Impact of Kalpana-1 derived land surface albedo on short-range weather forecasting over Indian region. J Geophys Res Atmos 119:2764–2780. doi:10.1002/2013JD020534
Pu Z, Tao WK, Braun S, Simpson J, Jia Y, Halverson J, Olson W, Hou A (2002) The impact of TRMM data on mesoscale numerical simulation of super typhoon. Paka Mon Wea Rev 130:2448–2458
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, Huang XY, Wang W, Powers JG (2008) A description of the advanced research WRF version 3. NCAR/TN-475 STR; NCAR Technical Note, Mesoscale and Microscale Meteorology Division, National Center of Atmospheric Research, June 2008, 113 pp
Wei M, Toth Z, Zhu Y (2010) Analysis differences and error variance estimates from multi-centre analysis data. Aust Meteorol and Oceanogr J 59(2010):25–34
Acknowledgments
The authors would like to thank Dr. A. S. Kiran Kumar, director, SAC for the constant encouragement and guidance. The authors are also thankful to the NCAR for the WRF model and to NASA for the valuable data from TRMM website http://disc2.nascom.nasa.gov/Giovanni/tovas. The authors are grateful for the comments and suggestions by anonymous reviewers that helped to improve the quality of this paper.
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Kumar, P., Kishtawal, C.M. & Pal, P.K. Skill of regional and global model forecast over Indian region. Theor Appl Climatol 123, 629–636 (2016). https://doi.org/10.1007/s00704-014-1361-2
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DOI: https://doi.org/10.1007/s00704-014-1361-2