Hydrology on Solid Grounds? Integration Is Key to Closing Knowledge Gaps Concerning Landscape Subsurface Water Storage Dynamics DOI Creative Commons
Sascha E. Oswald, Lisa Angermann, Heye Bogena

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(11)

Published: Nov. 1, 2024

ABSTRACT Individual approaches to observe water dynamics across our landscape, from the land surface groundwater, are many though they individually only provide glimpses into real world due their specific space–time scales. Comprehensive integration all available observations is still largely lacking, limiting both ability reduce scientific knowledge gaps, and guide management using best evidence. We argue that a stronger focus on of observational products, while utilising machine learning accounting for current perceptual understanding urgently needed overcome this limitation. Since Europe warming faster than any other continent, central undergoing dramatic hydroclimatic transition about which such integrated would timely valuable insights. Here, we present potential gaps planned methods. hyperresolution (sub km) estimates landscape feasible, could significantly improve simulate vadose zone groundwater dynamics, ultimately closing in perception hydrological processes temperate region under strong influence climate change. close by arguing an interdisciplinary effort various communities enable advancement.

Language: Английский

A first attempt to model global hydrology at hyper-resolution DOI Creative Commons
Barry van Jaarsveld, Niko Wanders, Edwin H. Sutanudjaja

et al.

Earth System Dynamics, Journal Year: 2025, Volume and Issue: 16(1), P. 29 - 54

Published: Jan. 7, 2025

Abstract. Global hydrological models are one of the key tools that can help meet needs stakeholders and policy makers when water management strategies policies developed. The primary objective this paper is therefore to establish a first-of-its-kind, truly global hyper-resolution model spans multiple-decade period (1985–2019). To achieve this, two limitations addressed, namely lack high-resolution meteorological data insufficient representation lateral movement snow ice. Thus, novel downscaling procedure better incorporates fine-scale topographic climate drivers incorporated, module capable frozen resembling glaciers, avalanches, wind included. We compare 30 arcsec version PCR-GLOBWB (PCR – Water Balance) previously published 5 arcmin versions by evaluating simulated river discharge, cover, soil moisture, land surface evaporation, total storage against observations. show provides more accurate simulation in particular for smaller catchments. highlight modeling possible with current computational resources results realistic representations cycle. However, our also suggest still incorporate cover heterogeneity relevant processes at sub-kilometer scale provide estimates moisture evaporation fluxes.

Language: Английский

Citations

1
A novel approach for estimating groundwater recharge leveraging high-resolution satellite soil moisture DOI Creative Commons
Jacopo Dari, Paolo Filippucci, Luca Brocca

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132678 - 132678

Published: Jan. 1, 2025

Language: Английский

Citations

1
Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis DOI Creative Commons

Angelika Pataki,

László Bertalan, László Pásztor

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Language: Английский

Citations

1
Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso DOI Creative Commons
Roland Yonaba, Axel Belemtougri, Tazen Fowé

et al.

Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

Language: Английский

Citations

6
A Monitoring Method for Agricultural Soil Moisture Using Wireless Sensors and the Biswas Model DOI Creative Commons

Zhang Yuanzhen,

Guofang Wang, Lingzhi Li

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 344 - 344

Published: Feb. 5, 2025

Efficient monitoring of soil moisture is crucial for optimizing water usage and ensuring crop health in agricultural fields, especially under rainfed conditions. This study proposes a high-throughput method that integrates LoRa-based wireless sensor networks with region-specific statistical models. Wireless sensors were deployed the top 0–0.2 m layer to gather real-time data, which then combined Biswas model estimate distribution down depth 2.0 m. The was calibrated using field capacity wilting coefficients. Results demonstrated strong correlation between predictions actual measured storage, coefficient determination (R2) exceeding 0.94. Additionally, 83% sample points had relative errors below 18.5%, depths 0–1.2 m, 90% 15%. system effectively tracked daily dynamics during maize growth, predicted evapotranspiration 10.25%. provides cost-effective scalable tool monitoring, supporting irrigation optimization improving use efficiency dryland agriculture.

Language: Английский

Citations

0
Validation of High-Resolution Surface Soil Moisture Time Series Retrieved by Means of Sar Interferometry DOI
Francesco De Zan, Paolo Filippucci, Luca Brocca

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Generation and evaluation of energy and water fluxes from the HOLAPS framework: Comparison with satellite-based products during extreme hot weather DOI Creative Commons
Almudena García‐García, Jian Peng

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 315, P. 114451 - 114451

Published: Oct. 9, 2024

Language: Английский

Citations

0
Hydrology on Solid Grounds? Integration Is Key to Closing Knowledge Gaps Concerning Landscape Subsurface Water Storage Dynamics DOI Creative Commons
Sascha E. Oswald, Lisa Angermann, Heye Bogena

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(11)

Published: Nov. 1, 2024

ABSTRACT Individual approaches to observe water dynamics across our landscape, from the land surface groundwater, are many though they individually only provide glimpses into real world due their specific space–time scales. Comprehensive integration all available observations is still largely lacking, limiting both ability reduce scientific knowledge gaps, and guide management using best evidence. We argue that a stronger focus on of observational products, while utilising machine learning accounting for current perceptual understanding urgently needed overcome this limitation. Since Europe warming faster than any other continent, central undergoing dramatic hydroclimatic transition about which such integrated would timely valuable insights. Here, we present potential gaps planned methods. hyperresolution (sub km) estimates landscape feasible, could significantly improve simulate vadose zone groundwater dynamics, ultimately closing in perception hydrological processes temperate region under strong influence climate change. close by arguing an interdisciplinary effort various communities enable advancement.

Language: Английский

Citations

0