Results 71 to 80 of about 4,088,927 (359)
Advanced Materials, EarlyView.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
Weather and Climate Extremes, 2016 Tropical cyclones generate severe hazards in the middle latitudes. A brief review and applications of dynamical and statistical downscaling of tropical cyclone (TC) are described targeting extreme storm surge and storm wave hazard assessment.
Nobuhito Mori, Tetsuya Takemi
doaj +1 more source
Improving Precipitation Estimation Using Convolutional Neural Network [PDF]
, 2019 Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A +3 more
core
High‐Performance Air‐Stable Polymer Monolayer Transistors for Monolithic 3D CMOS logics
Advanced Materials, EarlyView.A fibrillar polymer monolayer with a self‐confinement effect is demonstrated, in which aligned chains parallel the nanofiber axis. Employing a top‐gate CYTOP dielectric, this monolayer transistor achieves high mobility (7.12 cm2 V−1 s−1) and exceptional stability over 1260 days in air.
Miao Cheng +13 more
wiley +1 more source
Assessing atmospheric bias correction for dynamical consistency using potential vorticity
Environmental Research Letters, 2014 Correcting biases in atmospheric variables prior to impact studies or dynamical downscaling can lead to new biases as dynamical consistency between the ‘corrected’ fields is not maintained. Use of these bias corrected fields for subsequent impact studies
Eytan Rocheta +2 more
doaj +1 more source
A spatial analysis of multivariate output from regional climate models [PDF]
, 2011 Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel +2 more
core +3 more sources
The Cryosphere. Regional-scale surface energy balance (SEB) models of glacier melt require forcing by coarse-gridded data from reanalysis or global climate models that need to be downscaled to glacier scale.
Christina Draeger +3 more
semanticscholar +1 more source
Photonic Hybrid Integration: Strategies and Promises of Advanced Additive Manufacturing
Advanced Optical Materials, EarlyView.Heterogeneous photonic integration combines wafer bonding, transfer printing, and advanced multi‐photon lithography to realize compact, adaptable photonic systems. This review highlights breakthroughs in hybrid materials, metrology, and 4D printing, revealing how the convergence of traditional and emerging fabrication unlocks scalable, high‐performance
Zhitian Shi +3 more
wiley +1 more source
Meteorologische Zeitschrift, 2012 Extreme precipitation events in the Mediterranean area have been defined by different percentile-based indices of extreme precipitation for autumn and winter: the number of events exceeding the 95th percentile of daily precipitation, percentage, total ...
Elke Hertig +5 more
doaj +1 more source
A wind field downscaling strategy based on domain segmentation and transfer functions [PDF]
, 2018 This paper presents a novel methodology for mesoscale‐to‐microscale downscaling of near‐surface wind fields. The model chain consists on the Weather Research and Forecast mesoscale model and the Alya‐CFDWind microscale model (assuming neutral stability).
Avila, Matias +2 more
core +2 more sources