Incorporating the climate oscillations in the computation of meteorological drought over India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-05958-3.pdf
Reference100 articles.
1. Aadhar S, Mishra V (2017) Data descriptor: high-resolution near real-time drought monitoring in South Asia. Sci Data 4:1–15. https://doi.org/10.1038/sdata.2017.145
2. Abramowitz M, Irene S (1965) Handbook of mathematical functions, with formulas, graphs, and mathematical tables. Dover Publications, Mineola
3. Agilan V, Umamahesh NV (2018) El Niño Southern Oscillation cycle indicator for modeling extreme rainfall intensity over India. Ecol Indic 84(September 2017):450–458. https://doi.org/10.1016/j.ecolind.2017.09.012
4. Ajayamohan RS, Rao SA (2008) Indian ocean dipole modulates the number of extreme rainfall events over India in a warming environment. J Meteorol Soc Jpn 86(1):245–252. https://doi.org/10.2151/jmsj.86.245
5. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723. https://doi.org/10.1109/TAC.1974.1100705
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