Abstract
Precipitation during winter months of December, January, and February over northwest India is important for the production of winter crops as well as for glacial accumulation which goes on to feed major rivers in India with fresh water supply. Winter precipitation over this region is due to the movement of synoptic systems approaching from the Mediterranean known as Western Disturbances (WDs). So far, spatial pattern of winter precipitation over this region has not been studied using different RCMs. The present study evaluates the regional climate model employed in Coordinated Regional Climate Downscaling Experiment in South Asia (CORDEX-South Asia) framework to characterize winter precipitation over northwest India and Karakoram region. There are 16 CORDEX-South Asia experiments with 3 regional climate models (RCM) driven with 16 global climate models (GCM). Precipitation climatology is calculated for different RCM along with their ensemble. All the experiments show a wet bias over the region. The selection of best performing RCM is identified using various statistical analyses. The CORDEX experiment run by EC_EARTH RCM with RCA4 GCM developed by Swedish Meteorological and Hydrological Institute (SMHI) is identified as the best performing model when compared with observation. The change in future seasonal mean precipitation is assessed over northwest India and Karakoram region under two representation concentration pathways (RCP4.5 and RCP8.5) scenarios. A positive change in precipitation is observed over Karakoram region under the two RCP scenarios for near future and far future periods. The magnitude of precipitation change is found to be less over the study area under RCP 8.5 scenario for near future period compared to other scenario and time period.
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References
Agnihotri CL, Singh MS (1982) Satellite study of western disturbances. Mausam 33:249–254
Ahluwalia RS, Rai SP, Jain SK, Kumar B, Dobhal DP (2013) Assessment of snowmelt runoff modeling and isotope analysis: a case study from the western Himalaya, India. Anal Glaciol. https://doi.org/10.3189/2013AoG62A133
Ahmed KF, Wang G, Silander J, Wilson AM, Allen JM, Horton R, Anyah R (2013) Statistical downscaling and bias correction of climate model outputs for climate change impact assessment in the US northeast. Glob Planet Chang 100:320–332
Antic S, Laprise R, Denis B, De Elía R (2006) Testing the downscaling ability of a one-way nested regional climate model in regions of complex topography. Clim Dyn 26:305–325
Archer DR, Fowler HJ (2004) Spatial and temporal variations in precipitation in the Upper Indus Basin, global teleconnections and hydrological implications. Hydrol Earth Syst Sci 8:47–61. https://doi.org/10.5194/hess-8-47-2004
Bhutiyani MR, Kale VS, Pawar NJ (2007) Long-term trends in maximum, minimum and mean annual air temperatures across the Northwestern Himalaya during the twentieth century. Clim Chang 85:159–177. https://doi.org/10.1007/s10584-006-9196-1
Bhutiyani MR, Kale VS, Pawar NJ (2010) Climate change and the precipitation variations in the northwestern Himalaya: 1866–2006. Int J Climatol 30:535–548
Bookhagen B, Burbank DW (2010) Toward a complete Himalayan hydrological budget: spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge. J Geophys Res 115. https://doi.org/10.1029/2009jf001426
Borgaonkar HP, Pant GB, Rupa Kumar K (1996) Ring-width variations in Cedrus deodara and its climatic response over the western Himalaya. Int J Climatol 16:1409–1422. https://doi.org/10.1002/(sici)1097-0088(199612)16:12<1409::aid-joc93>3.0.co;2-h
Cannon AJ (2018) Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables. Clim Dyn 50(1-2):31–49
Cannon AJ, Sobie SR, Murdock TQ (2015) Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes? J Clim 28(17):6938–6959
Choudhary A, Dimri AP, Maharana P (2018) Assessment of CORDEX-SA experiments in representing precipitation climatology of summer monsoon over India. Theor Appl Climatol 134:283–307
Clarke L, Edmonds J, Jacoby H et al (2007) Scenarios of greenhouse gas emissions and atmospheric concentrations. Sub-report 2.1a of Synthesis and Assessment Product 2.1. Climate Change Science Program and the Subcommittee on Global Change Research, Washington DC
Cohen SJ (1990) Bringing the global warming issue closer to home: the challenge of regional impact studies. Bull Am Meteorol Soc 71:520–526. https://doi.org/10.1175/1520-0477(1990)071<0520:btgwic>2.0.co;2
Dessai S, Lu X, Hulme M (2005) Limited sensitivity analysis of regional climate change probabilities for the 21st century. Journal of Geophysical Research: Atmospheres. 110(D19108)
Dey B, Kumar OB (1983) Himalayan winter snow cover area and summer monsoon rainfall over India. J Geophys Res Oceans 88(C9):5471–5474
Dimri AP (2013) Interannual variability of Indian winter monsoon over the Western Himalayas. Glob Planet Chang 106:39–50. https://doi.org/10.1016/j.gloplacha.2013.03.002
Dimri AP, Ganju A (2007) Wintertime seasonal scale simulation over Western Himalaya using RegCM3. Pure Appl Geophys 164:1733–1746
Dimri AP, Mohanty UC (1999) Snowfall statistics of some SASE field stations in JandK. Def Sci J 49:437–445. https://doi.org/10.14429/dsj.49.3858
Dimri AP, Yasunari T, Kotlia BS, Mohanty UC, Sikka DR (2016) Indian winter monsoon: present and past. Earth Sci Rev 163:297–322. https://doi.org/10.1016/j.earscirev.2016.10.008
Dimri AP, Yasunari T, Wiltshire A, Kumar P, Mathison C, Ridley J, Jacob D (2013) Application of regional climate models to the Indian winter monsoon over the western Himalayas. Sci Total Environ 468:S36–S47
Fang GH, Yang J, Chen YN, Zammit C (2015) Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China. Hydrol Earth Syst Sci 19(6):2547–2559
Fernández J, Fita L, García-Díez M, Gutiérrez JM (2010) WRF sensitivity simulations on the CORDEX African domain. In, EGU General Assembly Conference Abstracts, p 9701
Gardelle J, Berthier E, Arnaud Y, Kääb A (2013) Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999-2011. Cryosphere 7:1263–1286. https://doi.org/10.5194/tc-7-1263-2013
Gardner AS, Moholdt G, Cogley JG, Wouters B, Arendt AA, Wahr J, Berthier E, Hock R, Pfeffer WT, Kaser G, Ligtenberg SR (2013) A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science 340:852–857. https://doi.org/10.1126/science.1234532
Ghimire S, Choudhary A, Dimri AP (2015) Assessment of the performance of CORDEX-South Asia experiments for monsoonal precipitation over the Himalayan region during present climate: part I. Clim Dyn 50:2311–2334. https://doi.org/10.1007/s00382-015-2747-2
Giorgi F (2006) Regional climate modeling: status and perspectives. J Physique IV (Proceedings) 139:101–118. https://doi.org/10.1051/jp4:2006139008
Giorgi F, Francisco R (2000) Evaluating uncertainties in the prediction of regional climate change. Geophys Res Lett 27:1295–1298. https://doi.org/10.1029/1999gl011016
Giorgi F, Gutowski WJ (2015) Regional dynamical downscaling and the CORDEX Initiative. Annu Rev Environ Resour 40:467–490. https://doi.org/10.1146/annurev-environ-102014-021217
Giorgi F, Mearns LO (2002) Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the “reliability ensemble averaging” (REA) method. J Clim 15:1141–1158
Guhathakurta P, Rajeevan M (2008) Trends in the rainfall pattern over India. Int J Climatol 28:1453–1469. https://doi.org/10.1002/joc.1640
Hassan M, Penfei D, Iqbal W et al (2014) Temperature and Precipitation Climatology Assessment over South Asia using the Regional Climate Model (RegCM4.3): An Evaluation of the Model Performance. Journal of Earth Science and Climatic Change 5(7):1. https://doi.org/10.4172/2157-7617.1000214
Hewitt K (2005) The Karakoram anomaly? Glacier expansion and the ‘elevation effect,’ Karakoram Himalaya. Mt Res Dev 25:332–340. https://doi.org/10.1659/0276-4741(2005)025[0332:tkagea]2.0.co;2
Immerzeel WW, van Beek LPH, Bierkens MFP (2010) Climate change will affect the Asian Water Towers. Science 328:1382–1385. https://doi.org/10.1126/science.1183188
Jacob T, Wahr J, Pfeffer WT, Swenson S (2012) Recent contributions of glaciers and ice caps to sea level rise. Nature 482:514–518. https://doi.org/10.1038/nature10847
Jeelani G, Deshpande RD, Galkowski M, Rozanski K (2018) Isotopic composition of daily precipitation along southern foothills of the Himalayas: impact of marine and continental sources of atmospheric moisture. Atmospheric Chemistry and Physics 18(12):8789-8805. https://doi.org/10.5194/acp-2017-774
Jones C, Giorgi F, Asrar G (2011) The Coordinated Regional Downscaling Experiment: CORDEX–an international downscaling link to CMIP5. CLIVAR Exchang 16:34–40
Katragkou E, García-Díez M, Vautard R et al (2015) Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble. Geosci Model Dev 8:603–618. https://doi.org/10.5194/gmd-8-603-2015
Kulkarni A, Patwardhan S, Kumar KK et al (2013) Projected climate change in the Hindu Kush–Himalayan region by using the high-resolution regional climate model PRECIS. Mt Res Dev 33:142–151. https://doi.org/10.1659/mrd-journal-d-11-00131.1
Kumar P, Wiltshire A, Mathison C et al (2013) Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach. Sci Total Environ 468–469:S18–S30. https://doi.org/10.1016/j.scitotenv.2013.01.051
Kumar V, Jain SK (2010) Trends in seasonal and annual rainfall and rainy days in Kashmir Valley in the last century. Quat Int 212:64–69. https://doi.org/10.1016/j.quaint.2009.08.006
Laprise R, de Elía R, Caya D et al (2008) Challenging some tenets of regional climate modelling. Meteorog Atmos Phys 100:3–22. https://doi.org/10.1007/s00703-008-0292-9
Madhura RK, Krishnan R, Revadekar JV et al (2015) Changes in western disturbances over the Western Himalayas in a warming environment. Clim Dyn 44:1157–1168
Masui TK, Matsumoto Y, Hijioka T, Kinoshita T, Nozawa S, Ishiwatari E, Kato PR, Shukla Y, Yamagata, Kainuma M (2011) An emission pathway for stabilization at 6 Wm−2 radiative forcing. Clim Chang 109(1-2):59
Mearns LO, Giorgi F, Whetton P et al (2003) Guidelines for use of climate scenarios developed from regional climate model experiments. Data Distribution Centre of the Intergovernmental Panel on Climate Change. http://www.ipcc-data.org/guidelines/dgm_no1_v1_10-2003.pdf
Messerli B, Ives JD (1997) Mountains of the world: a global priority on at 6 Wm−2 radiative forcing. Clim Chang 109:59–76. https://doi.org/10.1007/s10584-011-0150-5
Moss RH, Edmonds JA, Hibbard KA et al (2010) The next generation of scenarios for climate change research and assessment. Nature 463:747–756. https://doi.org/10.1038/nature08823
Palazzi E, von Hardenberg J, Provenzale A (2013) Precipitation in the Hindu-Kush Karakoram Himalaya: observations and future scenarios. J Geophys Res-Atmos 118:85–100. https://doi.org/10.1029/2012jd018697
Rasmussen R, Baker B, Kochendorfer J et al (2012) How well are we measuring snow: the NOAA/FAA/NCAR winter precipitation test bed. Bull Am Meteorol Soc 93:811–829. https://doi.org/10.1175/bams-d-11-00052.1
Riahi K, Grübler A, Nakicenovic N (2007) Scenarios of long-term socio-economic and environmental development under climate stabilization. Technol Forecast Soc Chang 74:887–935. https://doi.org/10.1016/j.techfore.2006.05.026
Riahi KS, Rao V, Krey C, Cho V, Chirkov G, Fisher G, Kindermann N, Nakicenovic RP (2011) RCP8.5: a scenario of comparatively high greenhouse gas emissions. Clim Chang 109:33–57. https://doi.org/10.1007/s10584-011-0149-y
Ridley J, Wiltshire A, Mathison C (2013) More frequent occurrence of westerly disturbances in Karakoram up to 2100. Sci Total Environ 468–469:S31–S35. https://doi.org/10.1016/j.scitotenv.2013.03.074
Ritchie J, Dowlatabadi H (2017) Why do climate change scenarios return to coal? Energy 140:1276–1291
Sanjay J, Krishnan R, Shrestha AB et al (2017) Downscaled climate change projections for the Hindu Kush Himalayan region using CORDEX South Asia regional climate models. Adv Clim Chang Res 8:185–198. https://doi.org/10.1016/j.accre.2017.08.003
Schaake J, Henkel A, Cong S (2004) Application of prism climatologies for hydrologic modeling and forecasting in the western U.S. Bulletin of the American Meteorological Society 3387–3393
Schaner N, Voisin N, Nijssen B, Lettenmaier DP (2012) The contribution of glacier melt to streamflow. Environ Res Lett 7:034029. https://doi.org/10.1088/1748-9326/7/3/034029
Singh RB, Sen Roy S (2002) Climate variability and hydrological extremes in a Himalayan catchment. In: ERB and Northern European FRIEND Project 5 Conf., Slovakia
Stocker TF, Qin D, Plattner G-K et al (2013) Climate change 2013: the physical science basis. Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 2013. URL https://www.google.com/books
Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res-Atmos 106:7183–7192. https://doi.org/10.1029/2000jd900719
Taylor KE (2005) Taylor diagram primer. Work Pap 1–4
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498
Themeßl MJ, Gobiet A, Heinrich G (2012) Empirical–statistical downscaling and error correction of regional climate models and its impact on the climate change signal. Clim Chang 112(2):449–468
Themeßl MJ, Gobiet A, Leuprecht A (2011) Empirical–statistical downscaling and error correction of daily precipitation from regional climate models. Int J Climatol 31(10):1530–1544
Thomson AM, Calvin KV, Smith SJ et al (2011) RCP4.5: A pathway for stabilization of radiative forcing by 2100. Clim Chang 109:77–94. https://doi.org/10.1007/s10584-011-0151-4
Tiwari PR, Kar SC, Mohanty UC, Dey S, Sinha P, Raju PVS, Shekhar MS (2016) On the dynamical downscaling and bias correction of seasonal-scale winter precipitation predictions over north India. Q J R Meteorol Soc 142(699):2398–2410
Treydte KS, Schleser GH, Helle G, Frank DC, Winiger M, Haug GH, Esper J (2006) The twentieth century was the wettest period in northern Pakistan over the past millennium. Nature 440:1179–1182. https://doi.org/10.1038/nature04743
Van der Linden P, Mitchell JE (2009) ENSEMBLES: climate change and its impacts—summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, Exeter
Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt GC, Kram T, Krey V, Lamarque J-F, Matsui T, Meinshausen M, Nakicenovic N, Smith SJ, Rose SK (2011a) Representative concentration pathways: an overview. Clim Change (this SI). https://doi.org/10.1007/s10584-011-0148-z
Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt GC, Kram T, Krey V, Lamarque JF, Masui T (2011c) The representative concentration pathways: an overview. Clim Chang 109:5–31. https://doi.org/10.1007/s10584-011-0148-z
Van Vuuren DP, Stehfest E, den Elzen MG, Kram T, van Vliet J, Deetman S, Isaac M, Goldewijk KK, Hof A, Beltran AM, Oostenrijk R (2011b) RCP2.6: exploring the possibility to keep global mean temperature increase below 2°C. Clim Chang 109:95–116. https://doi.org/10.1007/s10584-011-0152-3
Viste E, Sorteberg A (2015) Snowfall in the Himalayas: an uncertain future from a little-known past. Cryosphere 9:1147–1167. https://doi.org/10.5194/tc-9-1147-2015
Vries H, Lenderink G, Meijgaard E (2014) Future snowfall in western and central Europe projected with a high-resolution regional climate model ensemble. Geophys Res Lett 41:4294–4299
Walker MD, Diffenbaugh NS (2009) Evaluation of high-resolution simulations of daily-scale temperature and precipitation over the United States. Clim Dyn 33:1131–1147. https://doi.org/10.1007/s00382-009-0603-y
Watterson IG (1996) Non-dimensional measures of climate model performance. Int J Climatol 16:379–391
Whetton PH, England MH, O’Farrell SP et al (1996) Global comparison of the regional rainfall results of enhanced greenhouse coupled and mixed layer ocean experiments: implications for climate change scenario development. Clim Chang 33:497–519. https://doi.org/10.1007/bf00141702
Wiltshire AJ (2014) Climate change implications for the glaciers of the Hindu Kush, Karakoram and Himalayan region. Cryosphere 8:941–958. https://doi.org/10.5194/tc-8-941-2014
Winiger M, Gumpert M, Yamout H (2005) Karakorum-Hindukush-western Himalaya: assessing high-altitude water resources. Hydrol Process 19:2329–2338. https://doi.org/10.1002/hyp.5887
Xu Z, Hou Z, Han Y, Guo W (2016) A diagram for evaluating multiple aspects of model performance in simulating vector fields. Geosci Model Dev 9:4365–4380. https://doi.org/10.5194/gmd-9-4365-2016
Yadav RK, Kumar KR, Rajeevan M (2012) Characteristic features of winter precipitation and its variability over northwest India. J Earth Syst Sci 121:611–623. https://doi.org/10.1007/s12040-012-0184-8
Yatagai A, Arakawa O, Kamiguchi K et al (2009) A 44-year daily gridded precipitation dataset for Asia based on a dense network of rain gauges. SOLA 5:137–140. https://doi.org/10.2151/sola.2009-035
Yatagai A, Kamiguchi K, Arakawa O et al (2012) APHRODITE: constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. Bull Am Meteorol Soc 93:1401–1415. https://doi.org/10.1175/bams-d-11-00122.1
Acknowledgments
The authors are thankful to World Climate Research Programme’s Working Group on Regional Climate and the Working Group on Coupled Modelling and Center for Climate Change Research (CCCR), Indian Institute of Tropical Meteorology for providing CORDEX-South Asia dataset. The authors also acknowledge Earth System Grid Federation infrastructure (ESGF; http://esgf.llnl.gov/index.html). We are also thankful to Ministry of the Environment, Japan, for APHRODITE’s water resource project. Authors are thankful to Madhavi & Saumya for improving the english of the manuscript.
Funding
The work of Midhuna T. M. was supported by Junior Research Fellowship granted by Department of Science and Technology.
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Midhuna, T.M., Dimri, A.P. Future projection of winter precipitation over northwest India and associated regions using CORDEX-SA experiments. Theor Appl Climatol 139, 1317–1331 (2020). https://doi.org/10.1007/s00704-019-03049-7
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DOI: https://doi.org/10.1007/s00704-019-03049-7