Full Length Research Paper
References
Anandhi A, Srinivas VV, Nanjundiah RS,Nagesh Kumar D (2008). Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine. International Journal of Climatology: A Journal of the Royal Meteorological Society 28(3):401-420. |
|
Bhattacharjee PS, Zaitchik BF (2015). Perspectives on CMIP5 model performance in the Nile River headwaters regions. International Journal of Climatology 35(14):4262-4275. |
|
Chen C, Greene AM, Robertson AW, Baethgen WE, Eamus D (2013).Scenario development for estimating potential climate change impacts on crop production in the North China Plain. International Journal of Climatology 33(15):3124-3140. |
|
Chen J, Brissette FP, Leconte R (2012).Coupling statistical and dynamical methods for spatial downscaling of precipitation. Climatic Change 114(4):509-526. |
|
Cheng CS, Li Q, Li G, Auld H (2012). Possible impacts of climate change on daily streamflow and extremes at local scale in Ontario, Canada. Part II: Future projection. Atmospheric and Climate Sciences 2(04):427. |
|
Cheryl H,Porter CH, Villalobos C, Holzworth D, Nelson R, White JW, Athanasiadis IN, Jones JW, Sander J, Dominique R, Julien C, Dirk R, Meng Z, Rob K, Ritvik S, Kenneth B, James WJ(2014). Harmonization and translation of crop modeling data to ensure interoperability. Environmental Modelling and Software 62:495-508. |
|
Coulibaly P, Dibike YB, Anctil F (2005). Downscaling precipitation and temperature with temporal neural networks. Journal of Hydrometeorology 6(4):483-496. |
|
Dibike YB, Coulibaly P (2005).Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. Journal of Hydrology 307(4):145-163. |
|
Ekström M, Grose MR, Whetton PH (2015). An appraisal of downscaling methods used in climate change research. Wiley Interdisciplinary Reviews: Climate Change 6(3):301-319. |
|
El-Jabi N, Noyan T, Daniel C (2013). Regional Climate Index for Floods and Droughts Using Canadian Climate Model (CGCM3.1). American Journal of Climate Change 2:106-15. |
|
Fowler HJ, Blenkinsop S, Tebaldi C (2007). Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. International Journal of Climatology 27(12):1547-1578. |
|
Goosse H, Barriat PY, Lefebvre W, Loutre MF, Zunz V (2008-2010). Introduction to climate dynamics and climate modeling. |
|
Intergovernmental Panel on Climate Change (IPCC) (2013). Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press. |
|
Intergovernmental Panel on Climate Change (IPCC) (2000). Emissions Scenarios. Cambridge, ENGLAND, 2000. Cambridge University Press, UK. |
|
Intergovernmental Panel on Climate Change (IPCC) (2007). In Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In: Q.D.M.M.C.Z.M.M. Solomon S, ed. (Intergovernmental Panel on Climate Change). Cambridge, New York;: Cambridge University Press. |
|
Kim S, Jaewon K, Hung SK, Yonsoo K, Narae K, Seung JH, Jongso L (2014). A Regionalization of Downscaled GCM Data Considering Geographical Features in a Mountainous Area. Advances in Meteorology, Volume 2014 (Article ID 473167). |
|
Maraun M (2010).Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user. Reviews of Geophysics 48(3). |
|
Niang I, Ruppel OC, Abdrabo MA, Essel A, Lennard C, Padgham J, Urquhart P (2014). Africa. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution ofWorking GroupII to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, USA: Cambridge University Press. |
|
Ramirez-Villegas J, Jarvis A (2010). Downscaling Global Circulation Model Outputs: ,. The Delta Method Decision and Policy Analysis Working Paper No. 1, 1-18. Cali, Colombia.: International Center for Tropical Agriculture (CIAT). |
|
Rosenzweig C, Jones JW, Hatfield JL, Ruane AC, Boote KJ, Thorburn P, Antle JM, Nelson GC, Porter C, Janssen S, Asseng S, Basso B, Ewert F, Wallach D, Baigorria G, Winter JM (2013). The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology 170:166-182. |
|
Ruane AC,Goldberg R, Chryssanthacopoulos J (2015). AgMIP climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation. Agricultural and Forest Meteorology 200:233-248. |
|
Stocker TF,Qin D, Plattner GK, Alexander LV, Allen SK, Bindoff NL, Bréon FM,Church JA, Cubasch U, Emori S, Forster P, Friedlingstein P, Gillett N, Gregory JM, Hartmann DL, Jansen E, Kirtman B, Knutti R, Krishna K, Kumar P (2013).Technical summary. In Climate Change 2013: The Physical Science Basis.. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press pp. 33-115. |
|
Swain E, Lydia S, Thomas S (2014).Applying Downscaled Global Climate Model Data to a Hydrodynamic Surface-Water and Groundwater Model. American Journal of Climate Change 3:33-49. |
|
Trzaska S, Emilie S (2014). A review of downscaling methods for climate change projections. African and Latin American Resilience to Climate Change (ARCC). Burlington, Vermont USA: Center for International Earth Science Information Network (CIESIN). |
|
Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt GC, Kram T, Krey V, Lamarque JF, Masui T (2011). The representative concentration pathways: an overview. Climatic Change 109(2):5-31. |
|
Von Storch H, Hewitson B, Mearns L (2000). Review of downscaling techniques. Regional Climate Development under Global Warming. General Technical Report No. 4. Conference Proceedings. Torbjornrud, Norway. |
|
Waithaka M, Gerald C, Nelson T, Thomas S, Miriam K (2013). East African Agriculture and Climate Change:A Comprehensive Analysis. Washington, DC: International Food Policy Research Institute. |
|
Wilby RL, Dawson CW, Barrow EM (2002). SDSM- a decision support tool for the assessment of regional climate change impacts. Environmental Modelling and Software 17(2):145-157. |
Copyright © 2024 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0