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Statistical Method of Forecasting of Seasonal Precipitation over the Northwest Himalayas: North Atlantic Oscillation as Precursor

  • Usha DeviEmail author
  • M. S. Shekhar
  • G. P. Singh
  • S. K. Dash
Article
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Abstract

Dynamical and Statistical models are operationally used by Snow and Avalanche Study Establishment (SASE) for winter precipitation forecasting over the Northwest Himalayas (NWH). In this paper, a statistical regression model developed for seasonal (December–April) precipitation forecast over Northwest Himalaya is discussed. After carrying out the analysis of various atmospheric parameters that affect the winter precipitation over the NWH two parameters are selected such as North Atlantic Oscillation (NAO) and Outgoing Long wave Radiation (OLR) over specific areas of North Atlantic Ocean for the development of statistical regression model. A set of 27 years (1990–1991 to 2016–2017) of observed precipitation data and parameters (NAO and OLR) are utilized. Out of 27 years of data, first 20 years (1990–1991 to 2009–2010) are used for the development of regression model and remaining 7 years (2010–2011 to 2016–2017) are used for the validation purpose. Precipitation over NWH mainly associated with Western Disturbances (WDs) and the results of the present study reveal that NAO during SON has negative relationship with WDs and also with the winter precipitation over same region. Quantitative validation of the multiple regression model, result shows good Skill Score and RMSE-observations standard deviation ratio (RSR) which is 0.79 and 0.45 respectively and BIAS − 0.92.

Keywords

North Atlantic oscillation outgoing long wave radiation statistical model western Himalaya 

Notes

Acknowledgements

Authors are thankful to the technical staff of Snow and Avalanche Study Establishment (SASE), India for collecting the data in extreme weather conditions from rugged mountainous terrain of Northwest Himalaya.

References

  1. Asnani, G.C., 2005: Tropical meteorology. (Pune, India; G.C.Asnani).Google Scholar
  2. Bhutiyani, M. R., Kale, V. S., & Pawar, N. J. (2010). Climate change and the precipitation variations in the northwestern Himalaya: 1866–2006. International Journal of Climatology,30, 535–548.Google Scholar
  3. Cannon, F., Carvalho, L. M. V., Jones, C., Hoell, A., Norris, J., Kiladis, G. N., et al. (2016). The influence of tropical forcing on extreme winter precipitation in the western Himalaya. Climate Dynamics,48, 3–4.Google Scholar
  4. Dimri, A. P., & Mohanty, U. C. (2009). Simulation of mesoscale features associated with intense western disturbances over western Himalayas. Meteorological Application,16, 289–308.CrossRefGoogle Scholar
  5. Dash, S. K., Shekhar, M. S., Singh, G. P., & Vernekar, A. D. (2002). Relation between surface fields over Indian Ocean and monsoon rainfall over homogeneous zones of India. Mausam,53, 133–144.Google Scholar
  6. David, R. A., & Fowler, H. J. (2004). Spatial and temporal variations in precipitation in upper Indus basin, global tele-connections and hydrological implications. Hydrology and Earth System Sciences,8, 47–61.CrossRefGoogle Scholar
  7. Dimri, A. P. (2012). Relationship between ENSO phases with Northwest India winter precipitation. International Journal of Climatology,33, 1917–1923.CrossRefGoogle Scholar
  8. Dugam, S. S., Kakade, S. B., & Verma, R. K. (1997). Inter-annual and long-term variability in the North Atlantic Oscillation and Indian summer monsoon rainfall. Theoretical Applied Climatology,58, 21–29.CrossRefGoogle Scholar
  9. Hashino, T., Bradley, A. A., & Schwartz, S. S. (2007). Evaluation of bias-correction methods for ensemble stream flow volume forecasts. Hydrology and Earth System Sciences,11, 939–950.CrossRefGoogle Scholar
  10. Hurrell, J. W., & Deser, C. (2009). North Atlantic climate variability: The role of the North Atlantic Oscillation. Journal of Marine System,78, 28–41.CrossRefGoogle Scholar
  11. Hurrell, J. W., Kushnir, Y., Ottersen, G., & Visbeck, M. (2003). An overview of the North Atlantic Oscillation. The North Atlantic Oscillation—Climatic Significance and Environmental Impact. Geophysical Monograph,134, 1–35.Google Scholar
  12. Kar, S. C., & Rana, S. (2013). Interannual variability of winter precipitation over northwest India and adjoining region: impact of global forcings. Theoretical Applied Climatology.  https://doi.org/10.1007/s00704-013-0968-z.CrossRefGoogle Scholar
  13. Liebmann, B., & Smith, C. A. (1996). Description of a complete (interpolated) outgoing longwave radiation dataset. Bulletin of American Meteorology Society,77, 1275–1277.Google Scholar
  14. Malik, N., Bookhagen, B., & Mucha, P. J. (2016). Spatiotemporal patterns and trends of Indian monsoonal rainfall extremes. Geophysical Research Letter,43, 1710–1717.  https://doi.org/10.1002/2016GL067841.CrossRefGoogle Scholar
  15. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of American Society of Agriculture and Biological Engineers,50(3), 885–900.Google Scholar
  16. Nakamura, T., Yamazaki, K., Iwamoto, K., Honda, M., Miyoshi, Y., Ogawa, Y., et al. (2015). A negative phase shift of the winter AO/NAO due to the recent Arctic sea-ice reduction in late autumn. Journal of Geophysical Research: Atmospheres, 120(8), 3209–3227.Google Scholar
  17. Pisharoty, P. R., & Desai, B. N. (1956). Western disturbances and Indian weather. Indian Journal of Meteorological Geophysics,8, 333–338.Google Scholar
  18. Rajeevan, M., Guhathakurta, P., & Thapliyal, V. (2000). New models for long range forecasts of summer monsoon rainfall over Northwest and Peninsular India. Meteorology and Atmospheric Physics,73, 211–225.CrossRefGoogle Scholar
  19. Rajeevan, M., Pai, D. S., Dikshit, S. K., & Kelkar, R. R. (2004). IMD’s new operational models for long range forecast of south–west monsoon rainfall over India and their verification for 2003. Current Science,86, 422–431.Google Scholar
  20. Rajeevan, M., Bhate, J., Kale, J. D., & Lal, B. (2006). High resolution daily gridded rainfall data for the Indian region: Analysis of break and active monsoon spells. Current Science, 91, 296–306.Google Scholar
  21. Rao, Y.P. (1981). The climate of Indian subcontinent, In: World Survey of Climatology, 9.Google Scholar
  22. Shekhar, M. S., Chand, H., Kumar, S., Srinivasan, K., & Ganju, A. (2010). Climate-change studies in the western Himalaya. Annals of Glaciology,51, 105–112.CrossRefGoogle Scholar
  23. Shekhar, M. S., Devi, U., Paul, S., Singh, G. P., & Singh, A. (2017). Analysis of trends in extreme precipitation events over Western Himalaya Region: intensity and duration wise study. Journal of Indian Geophysical Union,21(3), 225–231.Google Scholar
  24. Shreshtha, A. B., Wake, C. P., Dibb, J. E., & Mayewski, P. A. (2000). Precipitation fluctuations in the Nepal Himalaya and its vicinity and relationship with some large-scale climatological parameters. International Journal of Climatology,20, 317–327.CrossRefGoogle Scholar
  25. Singh, J., Knapp, H. V., & Demissie, M. (2004). Hydrologic Modeling of the Iroquois River Watershed Using HSPF and SWAT. Illinois Department of Natural Resources and the Illinois State Geological Survey. Contract Report-Illinois State Water Survey, 2004-08. http://www.isws.illinois.edu/pubdoc/CR/ISWSCR2004-08.pdf.
  26. Syed, F. S., Giorgi, F., Pal, J. S., & King, M. P. (2006). Effect of remote forcing’s on the winter precipitation of central southwest Asia part 1: observations. Theoretical and Applied Climatology,86, 147–160.CrossRefGoogle Scholar
  27. Tiwari, P. R., Kar, S. C., Mohanty, U. C., Kumari, S., Sinha, P., Nair, A., et al. (2014). Skill of precipitation prediction with GCMs over north India during winter season. International Journal of Climatology,34, 3440–3455.CrossRefGoogle Scholar
  28. Vazquez-Amábile, G. G., & Engel, B. A. (2005). Use of SWAT to compute groundwater table depth and streamflow in the Muscatatuck River watershed. Transactions of American Society of Agriculture and Biological Engineers,48(3), 991–1003.CrossRefGoogle Scholar
  29. Wang, X., Wang, C., Zhou, W., Wang, D., & Song, J. (2011). Teleconnected influence of North Atlantic sea surface temperature on the El Niño onset. Climate Dynamics,37, 663–676.  https://doi.org/10.1007/s00382-010-0833-z.CrossRefGoogle Scholar
  30. Yadav, R. K., Rupa Kumar, K., & Rajeevan, M. (2007). Role of Indian Ocean sea surface temperatures in modulating northwest Indian winter precipitation variability. Theoretical and Applied Climatology,87(1–4), 73–83.CrossRefGoogle Scholar
  31. Yadav, R. K., Rupa Kumar, K., & Rajeevan, M. (2009). Increasing influence of ENSO and decreasing influence of AO/NAO in the recent decades over northwest India winter precipitation. Journal of Geophysical Research,114, D12112.  https://doi.org/10.1029/2008JD011318.CrossRefGoogle Scholar
  32. Yadav, R. K., Rupa Kumar, K., & Rajeevan, M. (2012). Characteristic features of winter precipitation and its variability over northwest India. Journal of Earth System Science,121(3), 611–623.CrossRefGoogle Scholar
  33. Yadav, R. K., Yoo, J. H., Kucharski, F., & Abid, M. A. (2010). Why is ENSO influencing northwest India winter precipitation in recent decades? Journal of Climate,23, 1979–1993.CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of BiotechnologyChandigarh College of TechnologyPunjabIndia
  2. 2.Snow and Avalanche Study Establishment, Research and Development CentreChandigarhIndia
  3. 3.Department of GeophysicsBanaras Hindu UniversityVaranasiIndia
  4. 4.Centre for Atmospheric Sciences, IIT DelhiNew DelhiIndia

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