Published February 4, 2026 | Version R2
Dataset Open

Supplementary material for manuscript egusphere-2025-2606 "From grid to ground: How well do gridded products represent soil moisture dynamics in natural ecosystems during precipitation events?" by Daniel Núñez-Ibarra, Mauricio Zambrano-Bigiarini and Mauricio Galleguillos

Authors/Creators

  • 1. ROR icon Center for Climate and Resilience Research
  • 2. Master's Degree in Territorial Management of Natural Resources (GESTREN) Universidad de Chile, Santiago, Chile
  • 3. Data Observatory Foundation, ANID Technology Center, Santiago, Chile
  • 4. ROR icon Universidad de La Frontera
  • 5. Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago, Chile.

Description

Supplementary material for the revised version of manuscript egusphere-2025-2606 "From grid to ground: How well do gridded products represent soil moisture dynamics in natural ecosystems during precipitation events?" by Daniel Núñez-Ibarra, Mauricio Zambrano-Bigiarini and Mauricio Galleguillos

Files

Supplementary_material_2025_HESS_SM_and_P_events_DanielNugnez_vR2.pdf

Files (16.8 MB)

Additional details

Funding

Agencia Nacional de Investigación y Desarrollo
The catchment’s memory: understanding how hydrological extremes are modulated by antecedent soil moisture conditions in a warmer climate ANID-Fondecyt Regular 1212071
Agencia Nacional de Investigación y Desarrollo
Management of global change impacts on hydrological extremes by coupling remote sensing data and an interdisciplinary modelling approach ANID-PCI NSFC190018
Agencia Nacional de Investigación y Desarrollo
Improving forest water yield and productivity quantification at the catchment scale by mapping root depth and eco-physiological thresholds with remote sensing and water transfer modeling ANID-Fondecyt Regular 1210932
Agencia Nacional de Investigación y Desarrollo
Center for Climate and Resilience Research ANID-FONDAP 1523A0002

Dates

Available
2026-02-04
for final manuscript, after acceptance

Software

Programming language
R