Results 81 to 90 of about 42,095 (293)

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, Hsu, K, Pan, B, Sorooshian, S   +3 more
core  

The role of empirical space-weather models (in a world of physics-based numerical simulations) [PDF]

, 2018
Advanced forecasting of space weather requires prediction of near-Earth solar-wind conditions on the basis of remote solar observations. This is typically achieved using numerical magnetohydrodynamic models initiated by photospheric magnetic field ...
Barnard, Mathew J. Owens, Owens, Pete Riley, Siscoe, Tim Horbury   +5 more
core   +1 more source

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source

Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI

应用气象学报
The microwave vegetation index, known as vegetation optical depth (VOD), is a dimensionless vegetation index.VOD is an important parameter for retrieving soil moisture and surface biomass.
Wang Xinyu, Fang Shibo, Han Jiahao
doaj   +1 more source

A review of applied methods in Europe for flood-frequency analysis in a changing environment [PDF]

, 2013
The report presents a review of methods used in Europe for trend analysis, climate change projections and non-stationary analysis of extreme precipitation and flood frequency.
Kjeldsen, T.R., Lang, M., Lawrence, D., Madsen, H., Martinkova, M.   +4 more
core  

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Research on downscaling method of the enhanced TROPOMI solar-induced chlorophyll fluorescence data

Geocarto International
Solar-induced chlorophyll fluorescence (SIF) is the release of plant energy during photosynthesis, which is significantly superior to the vegetation index in the characterization of vegetation growth.
Xiaoping Lu, Guosheng Cai, Xiangjun Zhang, Haikun Yu, Qinggang Zhang, Xiaoxuan Wang, Yushi Zhou, Yingying Su   +7 more
doaj   +1 more source

Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features

Remote Sensing, 2017
Land Use and Land Cover (LULC) classification is vital for environmental and ecological applications. Sentinel-2 is a new generation land monitoring satellite with the advantages of novel spectral capabilities, wide coverage and fine spatial and temporal
Hongrui Zheng, Peijun Du, Jike Chen, Junshi Xia, Erzhu Li, Zhigang Xu, Xiaojuan Li, Naoto Yokoya   +7 more
doaj   +1 more source

An Enhanced Archive Facilitating Climate Impacts and Adaptation Analysis [PDF]

, 2014
We describe the expansion of a publicly available archive of downscaled climate and hydrology projections for the United States. Those studying or planning to adapt to future climate impacts demand downscaled climate model output for local or regional ...
Arnold, James W., Brekke, Levi, Cayan, Daniel R., Dettinger, Michael D., Duffy, Philip B., Long, J., Maurer, Edwin P., Pruitt, Tom, Thrasher, Bridget   +8 more
core   +1 more source