Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics
Bedrock property quantification is critical for predicting the hydrological response of
watersheds to climate disturbances. Estimating bedrock hydraulic properties over watershed …
watersheds to climate disturbances. Estimating bedrock hydraulic properties over watershed …
Geophysics as a hypothesis‐testing tool for critical zone hydrogeology
Geophysical methods have long been used in earth and environmental science for the
characterization of subsurface properties. While imaging the subsurface opens the “black …
characterization of subsurface properties. While imaging the subsurface opens the “black …
Unravelling geological controls on groundwater flow and surface water-groundwater interaction in mountain systems: A multi-disciplinary approach
Mountain water resources are considered to be the world's water towers. Still, despite their
importance for downstream societies and ecosystems and their vulnerability to climate …
importance for downstream societies and ecosystems and their vulnerability to climate …
A deep learning-based network for the simulation of airborne electromagnetic responses
Airborne electromagnetic (AEM) method detects the subsurface electrical resistivity structure
by inverting the measured electromagnetic field. AEM data inversion is extremely time …
by inverting the measured electromagnetic field. AEM data inversion is extremely time …
Physics-guided deep learning-based inversion for airborne electromagnetic data
The Earth's subsurface structure provides critical insights into sustainable resource
management and geologic evolution. The airborne electromagnetic (AEM) method is an …
management and geologic evolution. The airborne electromagnetic (AEM) method is an …
Assessing rainfall global products reliability for water resource management in a tropical volcanic mountainous catchment
Study region Water resource management relies fundamentally on our ability to monitor
climate forcing variability, especially in tropical mountainous environment where the …
climate forcing variability, especially in tropical mountainous environment where the …
Fast Bayesian inversion of airborne electromagnetic data based on the invertible neural network
The inversion of airborne electromagnetic (AEM) data suffers from severe nonuniqueness in
the solution. Bayesian inference provides the means to estimate structural uncertainty with a …
the solution. Bayesian inference provides the means to estimate structural uncertainty with a …
The Sub‐Ice Structure of Mt. Melbourne Volcanic Field (Northern Victoria Land, Antarctica) Uncovered by High‐Resolution Aeromagnetic Data
Abstract The Mt. Melbourne Volcanic Field is a quiescent volcanic complex located in
Northern Victoria Land, Antarctica, mostly covered by ice. Its inner structure has remained …
Northern Victoria Land, Antarctica, mostly covered by ice. Its inner structure has remained …
Use of cold waters geochemistry as a geothermal prospecting tool for hidden hydrothermal systems in Réunion Island
B Bénard, V Famin, P Agrinier, P Louvat… - … Earth & Environment, 2024 - nature.com
Most untapped high-enthalpy geothermal resources are blind, meaning lacking surface
evidence of their existence. The first step in their discovery is to find evidence of …
evidence of their existence. The first step in their discovery is to find evidence of …
[HTML][HTML] Climate impact on river incision on hotspot volcanoes: insights from paleotopographic reconstructions and numerical modelling
Climate's role in governing landscape evolution has been intensely studied for several
decades, but few studies clearly document climate-landscape interactions in natural …
decades, but few studies clearly document climate-landscape interactions in natural …