An Intercomparison of Deep-Learning Methods for Super-Resolution Bias-Correction (SRBC) of Indian Summer Monsoon Rainfall (ISMR) Using CORDEX-SA Simulations

Author:

Singh Deveshwar,Choi Yunsoo,Dimri Rijul,Ghahremanloo Masoud,Pouyaei Arman

Funder

University of Houston

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference75 articles.

1. Aggarwal, D., Attada, R., Shukla, K.K., Chakraborty, R., Kunchala, R.K.: Monsoon precipitation characteristics and extreme precipitation events over Northwest India using indian high resolution regional reanalysis. Atmos. Res. 267, 105993 (2022). https://doi.org/10.1016/J.ATMOSRES.2021.105993

2. Archambault, T., Alexandre Charantonis, A., Béréziat, D., Mejia, C., Thiria, S., Archambault, T., Charantonis, A., Béréziat, D., Mejia, C., Thiria, S.: SSH super-resolution using high resolution SST with a subpixel convolutional residual network. Environ. Data Sci. 4, 1–9 (2022). https://hal.sorbonne-universite.fr/hal-03619091

3. Ashrit, R., Indira Rani, S., Kumar, S., Karunasagar, S., Arulalan, T., Francis, T., Routray, A., Laskar, S.I., Mahmood, S., Jermey, P., Maycock, A., Renshaw, R., George, J.P., Rajagopal, E.N.: IMDAA Regional reanalysis: Performance evaluation during indian summer monsoon season. J. Geophys. Research: Atmos. 125(2), e2019JD030973 (2020). https://doi.org/10.1029/2019JD030973

4. Barde, V., Nageswararao, M.M., Mohanty, U.C., Panda, R.K.: Performance of the CORDEX-SA regional climate models in simulating summer monsoon rainfall and future projections over East India. Pure. Appl. Geophys. 180(3), 1121–1142 (2023). https://doi.org/10.1007/S00024-022-03225-3/FIGURES/13

5. Bedia, J., Baño-Medina, J., Legasa, M.N., Iturbide, M., Manzanas, R., Herrera, S., Casanueva, A., San-Martín, D., Cofiño, A.S., Gutiérrez, J.M.: Statistical downscaling with the downscaleR package (v3.1.0): Contribution to the VALUE intercomparison experiment. Geosci. Model Dev. 13(3), 1711–1735 (2020). https://doi.org/10.5194/GMD-13-1711-2020

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