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Downscaling is any procedure to infer high-resolution information from low-resolution variables. This technique is based on dynamical or statistical approaches commonly used in several disciplines, especially meteorology, climatology and remote sensing.[1][2] The term downscaling usually refers to an increase in spatial resolution, but it is often also used for temporal resolution.[3][4] This is not to be confused with image downscaling which is a process of reducing an image from a higher resolution to a lower resolution.
- ^ Ribalaygua, J.; Torres, L.; Pórtoles, J.; Monjo, R.; Gaitan, E.; Pino, M.R. (2013). "Description and validation of a two-step analogue/regression downscaling method". Theoretical and Applied Climatology. 114 (1–2): 253–269. Bibcode:2013ThApC.114..253R. doi:10.1007/s00704-013-0836-x. S2CID 52253427.
- ^ Peng, J.; Loew, A.; Merlin, O.; Verhoest, N.E.C. (2017). "A review of spatial downscaling of satellite remotely sensed soil moisture". Reviews of Geophysics. 55 (2): 341. Bibcode:2017RvGeo..55..341P. doi:10.1002/2016RG000543. hdl:11858/00-001M-0000-002D-3843-0. S2CID 73579104.
- ^ Lee, T.; Jeong, C. (2014). "Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios". Journal of Hydrology. 510: 182–196. Bibcode:2014JHyd..510..182L. doi:10.1016/j.jhydrol.2013.12.027.
- ^ Monjo, R. (2016). "Measure of rainfall time structure using the dimensionless n-index". Climate Research. 67 (1): 71–86. Bibcode:2016ClRes..67...71M. doi:10.3354/cr01359. (pdf)