Results 51 to 60 of about 10,908 (283)
Geostatistical downscaling of offshore wind speed data derived from numerical weather prediction models using higher spatial resolution satellite products [PDF]
Regional offshore wind assessment studies typically rely on forecasts from Numerical Weather Prediction (NWP) models. NWP products are typically available at fine temporal resolutions (e.g., on an hourly basis) but relatively coarse spatial resolutions ...
Sykioti, Anastasia +4 more
core
Stepwise Downscaling of ERA5-Land Reanalysis Air Temperature: A Case Study in Nanjing, China
Reanalysis air temperature data, characterized by temporal continuity but limited spatial resolution, are commonly downscaled to achieve higher spatial resolution to meet the demands of regional climatological studies and related research fields. However,
Xuelian Li +3 more
doaj +1 more source
Accurate high-spatial-resolution soil moisture content (SMC) datasets are crucial for applications, such as erosion modelling, flood forecasting, and agricultural production.
Huizhen Cui +5 more
doaj +1 more source
Evaluation of spatial downscaling forsatellite retrieval of evapotranspiration from the nonparametric approach in an arid area [PDF]
Evapotranspiration (ET) data is critical for monitoring the limited hydrological resources in arid areas. At present, the spatial resolution of ET derived by the thermal infrared images from satellite data is coarse (always more than 500 m).
Suyi Liu (3997283) +7 more
core +2 more sources
A spatial hybrid approach for downscaling of extreme precipitation fields [PDF]
For a few decades, climate models are used to provide future scenarios of precipitation with increasingly higher spatial resolution. However, this resolution is not yet sufficient to describe efficiently what happens at local scale.
Mathieu Vrac +5 more
core +1 more source
Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau [PDF]
Accurate precipitation data is crucial in many applications such as hydrology, meteorology, and ecology. Compared with ground observations, satellite-based precipitation estimates can provide much more spatial information to characterize precipitation.
Ziqiang Ma +6 more
openaire +2 more sources
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens +8 more
wiley +1 more source
Disaggregation of spatial rainfall fields for hydrological modelling [PDF]
Meteorological models generate fields of precipitation and other climatological variables as spatial averages at the scale of the grid used for numerical solution.
R. E. Chandler +11 more
core
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley +1 more source

