Results 191 to 200 of about 266,459 (277)

Simulating the Impacts of Deep Geothermal Development on Shallow Hydrothermal Resources in a Rocky Mountain Rift Valley

open access: yesGroundwater, Volume 64, Issue 4, Page 507-527, July/August 2026.
Abstract Numerical modeling has been widely used to assess the feasibility of geothermal energy development at sites across the world, but modeling applications simulating the potential impacts on shallow hydrothermal resources and surface water are relatively scarce. In this study, we apply the MODFLOW 6 groundwater energy (GWE) code to simulate fully
Michael J. Rush   +5 more
wiley   +1 more source

Book review: PRINCIPLES OF SNOW HYDROLOGY [PDF]

open access: yesProceedings of the Institution of Civil Engineers - Water Management, 2010
openaire   +1 more source

The underappreciated roles of fog and dew on vegetation and biocrusts

open access: yesNew Phytologist, Volume 251, Issue 1, Page 46-63, July 2026.
Summary Fog and dew represent minor components of ecosystem water budgets in most ecosystems. However, fog and dew can play an essential role in ecosystem dynamics and are particularly important for water‐limited systems. In addition to serving as direct water inputs, fog and dew can influence microclimate and water redistribution, thereby promoting ...
Lixin Wang, Yue Li, Mengyun Sun, Na Qiao
wiley   +1 more source

Afforestation priority for multiple objectives at national scale: Italy as a case study

open access: yesRestoration Ecology, Volume 34, Issue 5, July 2026.
Abstract Introduction Afforestation is increasingly recognized as a key strategy to address climate change and ecological degradation, offering multiple ecosystem services. However, strategic planning is needed to ensure that afforestation actions are ecologically effective and economically efficient by targeting areas where ecosystem service provision
Chiara Gibertini   +10 more
wiley   +1 more source

Development of Gridded Root-Zone Soil Moisture Product for India, 1981-2024. [PDF]

open access: yesSci Data
Chuphal DS   +4 more
europepmc   +1 more source

Machine Learning Eliminates Reanalysis Warm Bias and Reveals Weaker Winter Surface Cooling Over Arctic Sea Ice

open access: yesGeophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract The surface energy budget governs Arctic sea‐ice growth/melt, yet observations are sparse, and reanalysis data sets suffer from systematic biases. Here, we train a neural network with observational data to bias‐correct hourly ERA5 fluxes over Arctic ice‐covered regions (≥70°N; sea‐ice concentration >80%) for 1994–2024.
Akil Hossain   +14 more
wiley   +1 more source

Hourly potential light availability maps at 10 m resolution over Switzerland. [PDF]

open access: yesSci Data
Webster C   +5 more
europepmc   +1 more source

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