Developing Intensity-Duration-Frequency (IDF) curves using sub-daily gridded and in situ datasets: characterising  precipitation extremes in a drying climate

Soto-Escobar, Cristóbal; Zambrano-Bigiarini, Mauricio; Tolorza, Violeta; Garreaud, René

doi:10.5194/hess-30-91-2026

Articles | Volume 30, issue 1

https://doi.org/10.5194/hess-30-91-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-30-91-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 30, issue 1

Research article

|

12 Jan 2026

Research article |

| 12 Jan 2026

Developing Intensity-Duration-Frequency (IDF) curves using sub-daily gridded and in situ datasets: characterising precipitation extremes in a drying climate

Cristóbal Soto-Escobar, Mauricio Zambrano-Bigiarini, Violeta Tolorza, and René Garreaud

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Cumulative views and downloads (calculated since 13 Mar 2025)

Month	HTML	PDF	XML	Total
Mar 2025	288	86	14	388
Apr 2025	94	80	4	178
May 2025	104	100	6	210
Jun 2025	114	170	16	300
Jul 2025	110	122	2	234
Aug 2025	342	76	12	430
Sep 2025	1,114	80	14	1,208
Oct 2025	114	94	4	212
Nov 2025	208	188	8	404
Dec 2025	154	434	14	602
Jan 2026	797	672	29	1,498
Feb 2026	392	864	15	1,271
Mar 2026	326	649	11	986
Apr 2026	271	328	19	618
May 2026	707	226	10	943
Jun 2026	50	44	1	95
Jul 2026	0

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Short summary

This study assesses how spatial patterns, temporal trends, and record length in hourly precipitation data affect annual maximum intensities estimated with stationary and non-stationary models across a climatically and topographically diverse region. Comparing five gridded datasets, we find consistent spatial patterns but notable differences in intensities, with non-stationary estimates generally slightly lower.