Results 61 to 70 of about 12,521 (248)
The albedo of boreal forests depends on the properties of the forest and is a key parameter for understanding the climate impact of forest management practices at high northern latitudes.
Eirik Næsset Ramtvedt +4 more
doaj +1 more source
Modeling glacier‐surface albedo across Svalbard for the 1979–2015 period: The HiRSvaC500‐α data set
Albedo is an important quantity for determining the energy balance of snow and ice surfaces and thus also for the mass balance of glaciers. It is especially important in polar regions where shortwave radiation fluxes typically provide most of the energy ...
Marco Möller, Rebecca Möller
doaj +1 more source
Tower-based data combined with high-resolution satellite products have been used to produce surface albedo at various spatial scales over land. Because tower-based albedo data are available at only a few sites, surface albedos using these combined data ...
Evgueni Kassianov +5 more
doaj +1 more source
Climate change and the growing demand for renewable energy are putting increasing pressure on land, as food production and solar power generation often compete for the same areas. In this study, we assessed which temperate‐region crops are best suited for agrivoltaics, a technology combining farming and solar electricity production on the same land. We
Salome Hauger +6 more
wiley +1 more source
Sensitivity of mountain glacier mass balance to changes in bare-ice albedo
Albedo is an important parameter in the energy balance of bare-ice surfaces and modulates glacier melt rates. The prolongation of the ablation period enforces the albedo feedback and highlights the need for profound knowledge on impacts of bare-ice ...
Kathrin Naegeli, Matthias Huss
doaj +1 more source
Grapevine production is increasingly challenged by global warming, with global wine output falling to a six‐decade low in 2024. At the same time, the vine and wine sector faces growing pressure to reduce its carbon footprint. Agrivoltaics, which integrates solar photovoltaic (PV) modules into plant production systems, offers a potential pathway to ...
Sabine Tausz‐Posch +5 more
wiley +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
The Albedo of Pervious Cement Concrete Linearly Decreases with Porosity
Pervious pavements have been advocated as a potential countermeasure to the urban heat island effect. To understand if pervious pavements stay cooler than conventional pavements, the albedo of the pervious concrete must be understood. This study measured
Rui Zhang, Guosheng Jiang, Jia Liang
doaj +1 more source
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie +3 more
wiley +1 more source

