R

How to use ChatGPT to learn Hydrology - Part III: vibe coding, hydroTSM and reproducible practical projects

How to combine previous R knowledge with ChatGPT, base R, hydroTSM, airGRteaching and HEC-HMS to complete TP-01 and TP-02 without turning AI into a black box.

How to Use ChatGPT to Learn Hydrological Modelling (III): base R, vibe coding and reproducible projects

How to use ChatGPT for programming and learning hydrological modelling with base R: responsible vibe coding, debugging, reproducibility, sensitivity, calibration, uncertainty and …

RcamelsCL Opens Chile's Benchmark Hydrology Dataset to Faster, Reproducible Research featured image

RcamelsCL Opens Chile's Benchmark Hydrology Dataset to Faster, Reproducible Research

Explore how RcamelsCL simplifies access to Chile's CAMELS-CL dataset, helping researchers build faster, reproducible hydrology workflows.

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Dr. Mauricio Zambrano-Bigiarini
RFmerge v0.3-3 on CRAN featured image

RFmerge v0.3-3 on CRAN

RFmerge v0.3-3 on CRAN

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Dr. Mauricio Zambrano-Bigiarini
hydroGOF v0.7-0 on CRAN featured image

hydroGOF v0.7-0 on CRAN

hydroGOF v0.7-0 on CRAN

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Dr. Mauricio Zambrano-Bigiarini
hydroTSM v0.8-6 on CRAN featured image

hydroTSM v0.8-6 on CRAN

hydroTSM v0.8-6 on CRAN

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Dr. Mauricio Zambrano-Bigiarini
Pulliko: Gridded soil moisture for Chile featured image

Pulliko: Gridded soil moisture for Chile

Explorer of near real-time and historical gridded soil moisture products

Curvas IDF Chile featured image

Curvas IDF Chile

Gridded Intensity-Duration-Frequency Curves for Chile

XXVII Congreso Chileno de Hidráulica: Course 'Using R for spatio-temporal data analysis: application to daily data CR2Met v2.5' featured image

XXVII Congreso Chileno de Hidráulica: Course 'Using R for spatio-temporal data analysis: application to daily data CR2Met v2.5'

October 21th 2025, Concepción, Chile

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Dr. Mauricio Zambrano-Bigiarini
Two works at EGU 2025 featured image

Two works at EGU 2025

Two works at EGU 2025

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Dr. Mauricio Zambrano-Bigiarini