Results 191 to 200 of about 266,459 (277)
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
Global patterns of rain-on-snow and its impacts on runoff from past to future projections. [PDF]
Maina FZ, Kumar SV.
europepmc +1 more source
Book review: PRINCIPLES OF SNOW HYDROLOGY [PDF]
openaire +1 more source
The underappreciated roles of fog and dew on vegetation and biocrusts
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
The snow meteorology and phenology classification (SnowMAP): global snow cover observations enhance snow's representation. [PDF]
Johnston J +3 more
europepmc +1 more source
Afforestation priority for multiple objectives at national scale: Italy as a case study
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]
Chuphal DS +4 more
europepmc +1 more source
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]
Webster C +5 more
europepmc +1 more source

