Articles | Volume 29, issue 12
https://doi.org/10.5194/hess-29-2727-2025
https://doi.org/10.5194/hess-29-2727-2025
Research article
 | 
01 Jul 2025
Research article |  | 01 Jul 2025

A novel framework for analyzing rainy season dynamics in semi-arid environments: a case study in the Peruvian Rio Santa basin

Lorenz Hänchen, Emily Potter, Cornelia Klein, Pierluigi Calanca, Fabien Maussion, Wolfgang Gurgiser, and Georg Wohlfahrt

Related authors

Widespread greening suggests increased dry-season plant water availability in the Rio Santa valley, Peruvian Andes
Lorenz Hänchen, Cornelia Klein, Fabien Maussion, Wolfgang Gurgiser, Pierluigi Calanca, and Georg Wohlfahrt
Earth Syst. Dynam., 13, 595–611, https://doi.org/10.5194/esd-13-595-2022,https://doi.org/10.5194/esd-13-595-2022, 2022
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Mathematical applications
A 60-year drought analysis of meteorological data in the western Po River basin
Emanuele Mombrini, Stefania Tamea, Alberto Viglione, and Roberto Revelli
Hydrol. Earth Syst. Sci., 29, 2255–2273, https://doi.org/10.5194/hess-29-2255-2025,https://doi.org/10.5194/hess-29-2255-2025, 2025
Short summary
Expected annual minima from an idealized moving-average drought index
James H. Stagge, Kyungmin Sung, Irenee Felix Munyejuru, and Md Atif Ibne Haidar
Hydrol. Earth Syst. Sci., 29, 719–732, https://doi.org/10.5194/hess-29-719-2025,https://doi.org/10.5194/hess-29-719-2025, 2025
Short summary
Increasing Sensitivity to Soil Moisture Deficits Predominantly Intensifies Evapotranspiration Stress in a Greening China
Yuan Liu, Yong Wang, Yong Zhao, Shouzhi Chen, Longhao Wang, Wenjing Yang, Xing Li, Xinxi Li, Huimin Lei, Huanyu Chang, Jiaqi Zhai, Yongnan Zhu, Qingming Wang, and Ting Ye
EGUsphere, https://doi.org/10.5194/egusphere-2024-3764,https://doi.org/10.5194/egusphere-2024-3764, 2025
Short summary
Estimating global precipitation fields by interpolating rain gauge observations using the local ensemble transform Kalman filter and reanalysis precipitation
Yuka Muto and Shunji Kotsuki
Hydrol. Earth Syst. Sci., 28, 5401–5417, https://doi.org/10.5194/hess-28-5401-2024,https://doi.org/10.5194/hess-28-5401-2024, 2024
Short summary
Meteorological drought projections for Australia from downscaled high-resolution CMIP6 climate simulations
Rohan Eccles, Ralph Trancoso, Jozef Syktus, Sarah Chapman, Nathan Toombs, Hong Zhang, Shaoxiu Ma, and Ryan McGloin
EGUsphere, https://doi.org/10.5194/egusphere-2024-2341,https://doi.org/10.5194/egusphere-2024-2341, 2024
Short summary

Cited articles

Belda, S., Pipia, L., Morcillo-Pallares, P., Rivera-Caicedo, J. P., Amin, E., De Grave, C., and Verrelst, J.: DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection, Environ. Model. Softw., 127, 104666, https://doi.org/10.1016/j.envsoft.2020.104666, 2020. a
Bombardi, R. J. and Carvalho, L. M. V.: IPCC global coupled model simulations of the South America monsoon system, Clim. Dynam., 33, 893–916, https://doi.org/10.1007/s00382-008-0488-1, 2008. a
Bombardi, R. J., Kinter, J. L., and Frauenfeld, O. W.: A Global Gridded Dataset of the Characteristics of the Rainy And Dry Seasons, B. Am. Meteorol. Soc., 100, 1315–1328, https://doi.org/10.1175/bams-d-18-0177.1, 2019a. a
Bombardi, R. J., Moron, V., and Goodnight, J. S.: Detection, variability, and predictability of monsoon onset and withdrawal dates: A review, Int. J. Climatol., 40, 641–667, https://doi.org/10.1002/joc.6264, 2019b. a, b
Bury, J. T., Mark, B. G., McKenzie, J. M., French, A., Baraer, M., Huh, K. I., Zapata Luyo, M. A., and Gómez López, R. J.: Glacier recession and human vulnerability in the Yanamarey watershed of the Cordillera Blanca, Peru, Climatic Change, 105, 179–206, https://doi.org/10.1007/s10584-010-9870-1, 2010. a
Download
Short summary
In semi-arid regions, the timing and duration of the rainy season are crucial for agriculture. This study introduces a new framework for improving estimations of the onset and end of the rainy season by testing how well they fit local vegetation data. We improve the performance of existing methods and present a new one with higher performance. Our findings can help us to make informed decisions about water usage, and the framework can be applied to other regions as well.
Share