1. CH2018 (2018) CH2018 –Climate Scenarios for Switzerland. Technical Report, pp. 271 National Centre for Climate Services, Zurich.
2. Eagleson, P.S (1978) Climate, soil and vegetation:I introduction to water balance dynamics.
Water Resources Research, Vol. 14, No. 5, pp. 705-712.
3. George, J, and Pavizham, A (2023) A Multi-stage stochastic approach for statistical downscaling of rainfall.
Water Resources Management, Vol. 37, No. 14, pp. 5477-5492.
4. Intergovernmental Panel on Climate Change (IPCC) (2021) Climate Change 2021:The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. In: Masson-Delmotte V, Zhai P, Pirani A, Connors S.L, Péan C, Berger S, Caud N, Chen Y, Goldfarb L, Gomis M.I, Huang M, Leitzell K, Lonnoy E, Matthews J.B.R, Maycock T.K, Waterfield T, Yelekçi O, Yu R, Zhou B, eds. 2021) Summary for Policymakers, pp. 3-32 Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. doi:10.1017/9781009157896.001.
5. Jamieson, P.D, Porter, J.R, and Wilson, D.R (1991) A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand.
Field crops research, Vol. 27, No. 4, pp. 337-350.
6. Kim, J.U, Sang, J, Kim, M.K, Byun, Y.H, Kim, D.H, and Kim, T.J (2022) Future climate projection in South Korea using the high-resolution SSP scenarios based on statistical downscaling. Journal of Climate Research, Vol. 17, No. 2, pp. 89-106.
7. Kim, J.Y, Park, C.Y, and Kwon, H.H (2016) A development of downscaling scheme for sub-daily extreme precipitation using conditional copula model. Journal of Korea Water Resources Association, Vol. 49, No. 10, pp. 863-876.
8. Kim, S.J (2011) Impact of Climate Change on Water Resources and Ecological Habitat in A River Basin, pp. 83 Ph. D. dissertation, Inha University, Incheon, Korea.
9. Kim, S, Kwak, J, Kim, H.S, Jung, Y, and Kim, G (2016) Nearest neighbor–genetic algorithm for downscaling of climate change data from GCMs.
Journal of Applied Meteorology and Climatology, Vol. 55, No. 3, pp. 773-789.
10. Kristvik, E, Kleiven, G.H, Lohne, J, and Muthanna, T.M (2018) Assessing the robustness of raingardens under climate change using SDSM and temporal downscaling.
Water Science and Technology, Vol. 77, No. 6, pp. 1640-1650.
11. Kyong, M.S (2010) Assessment of Climate Change Effect on Standardized Precipitation Index and Frequency Based Precipitation, pp. 60 Ph. D. dissertation, Inha University, Incheon, Korea.
12. Lee, J, and Kim, S (2018) Temporal Disaggregation of Daily Rainfall data using Stochastic Point Rainfall Model.
Journal of the Korean Society of Hazard Mitigation, Vol. 18, No. 2, pp. 493-503.
13. Lee, T, and Jeong, C (2014) Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios.
Journal of Hydrology, Vol. 510, pp. 182-196.
14. Michel, A, Sharma, V, Lehning, M, and Huwald, H (2021) Climate change scenarios at hourly time?step over Switzerland from an enhanced temporal downscaling approach.
International Journal of Climatology, Vol. 41, No. 6, pp. 3503-3522.
16. National Institute of Meteorological Sciences (NIMS) (2022) South Korea Detailed Climate Change Outlook Report - Climate change outlook according to 4 SSP scenarios, NIMS Publication No. 11-1360620-000303-01, pp. 5 National Institute of Meteorological Sciences.
17. Nguyen, V.T.V, Nguyen, T.D, and Ashkar, F (2002) Regional frequency analysis of extreme rainfalls.
Water science and technology, Vol. 45, No. 2, pp. 75-81.
18. Nguyen, V.T.V, Nguyen, T.D, and Cung, A (2007) A statistical approach to downscaling of sub-daily extreme rainfall processes for climate-related impact studies in urban areas.
Water science and technology:water supply, Vol. 7, No. 2, pp. 183-192.
19. Noor, M, Ismail, T.B, Ullah, S, Iqbal, Z, Nawaz, N, and Ahmed, K (2020) A non-local model output statistics approach for the downscaling of CMIP5 GCMs for the projection of rainfall in Peninsular Malaysia.
Journal of Water and Climate Change, Vol. 11, No. 4, pp. 944-955.
20. Qiu, H, Qi, J, Lee, S, Moglen, G.E, McCarty, G.W, Chen, M, et al (2021) Effects of temporal resolution of river routing on hydrologic modeling and aquatic ecosystem health assessment with the SWAT model.
Environmental Modelling &Software, Vol. 146, pp. 105232.
21. Wang, L, Li, Q, Peng, X, and Lv, Q (2024) A Temporal Downscaling Model for Gridded Geophysical Data with Enhanced Residual U-Net.
Remote Sensing, Vol. 16, No. 3, pp. 442.
22. Wilby, R.L, Dawson, C.W, Murphy, C, Connor, P.O, and Hawkins, E (2014) The statistical downscaling model- decision centric (SDSM-DC):conceptual basis and applications.
Climate Research, Vol. 61, No. 3, pp. 259-276.