A wavelet- based multi- resolution approach for climatic downscaling

This a sponsored project of Dr. Maheswaran funded by Department of Science and Technology(DST), India. The project is a part of the Inspire Faculty Award received by the Dr. Maheswaran. 

This project proposes a multi-resolution climatic downscaling approach using discrete wavelet transform. The MATLAB source codes are provided through this website for applications to other case studies and to receive feedback from a wider audience.

References: 

Sehgal, V., Lakhanpal, A. , Maheswaran, R., Khosa, R., Sridhar, V. (2016). Application of multi-scale wavelet entropy and multi- resolution Volterra models for climatic downscaling. Journal of  ydrology. http://dx.doi.org/10.1016/j.jhydrol.2016.10.048

Lakhanpal, A, Sehgal, V., Maheswaran, R., Khosa, R., Sridhar, V. (2017). A non-linear and non-stationary perspective for downscaling mean monthly temperature: a wavelet coupled second order Volterra model. Stochastic Environmental Research and Risk Assessment 31, no. 9 (2017): 2159-2181. https://link.springer.com/article/10.1007/s00477-017-1444-6

Agarwal, A., Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., & Bernhofer, C. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method. Journal of Hydrology, 538, 22-32. http://dx.doi.org/10.1016/j.jhydrol.2016.03.023

1.       Yeditha, P.K., Rathinasamy, M., Agarwal, A.,SIvakumar B, 2020 Intercomparison of downscaling models with a special emphasis on wavelet based hybrid models. Journal of Hydrology( accepted).