Articles | Volume 29, issue 3
https://doi.org/10.5194/hess-29-719-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2025
Research article |
| 07 Feb 2025
| 07 Feb 2025
Expected annual minima from an idealized moving-average drought index
Related authors
Hydrol. Earth Syst. Sci., 28, 2047–2063, 2024
Cited articles
Akaike, H.: Information Theory and an Extension of the Maximum Likelihood Principle, in: Selected Papers of Hirotugu Akaike, edited by: Parzen, E., Tanabe, K., and Kitagawa, G., Springer, New York, NY, 199–213, https://doi.org/10.1007/978-1-4612-1694-0_15, 1998.
Anderson, M. C., Hain, C., Otkin, J., Zhan, X., Mo, K., Svoboda, M., Wardlow, B., and Pimstein, A.: An Intercomparison of Drought Indicators Based on Thermal Remote Sensing and NLDAS-2 Simulations with U.S. Drought Monitor Classifications, J. Hydrometeorol., 14, 1035–1056, https://doi.org/10.1175/JHM-D-12-0140.1, 2013.
Auld, G. and Papastathopoulos, I.: Extremal clustering in non-stationary random sequences, Extremes, 24, 725–752, https://doi.org/10.1007/s10687-021-00418-2, 2021.
Basu, B. and Srinivas, V. V.: Formulation of a mathematical approach to regional frequency analysis, Water Resour. Res., 49, 6810–6833, https://doi.org/10.1002/wrcr.20540, 2013.
Beguería, S., Vicente-Serrano, S. M., Reig, F., and Latorre, B.: Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring, Int. J. Climatol., 34, 3001–3023, https://doi.org/10.1002/joc.3887, 2014.
