Results 71 to 80 of about 3,437,660 (362)

Diurnal Variation in Summer Precipitation and the Characteristics of Precipitation Events in the Western Tarim Basin, China

open access: yesAtmosphere
The Tarim Basin in the western part of Northwest China (NWC) is the largest inland basin in the world and one of the most arid regions in the middle latitudes.
Man Li   +3 more
doaj   +1 more source

Detailed Evolution Characteristics of an Inclined Structure Hailstorm Observed by Polarimetric Radar over the South China Coast

open access: yesAtmosphere, 2022
A hailstorm with an inclined structure occurred in the western part of the South China coast on 27 March 2020. This study investigates the detailed evolution characteristics of this inclined structure using the Doppler radar data assimilation system ...
Honghao Zhang   +9 more
doaj   +1 more source

Advanced Ceramics in Aerospace and Defense: The Interrelationship between Traditional and Additive Manufacturing Approaches

open access: yesAdvanced Materials Technologies, EarlyView.
Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk   +2 more
wiley   +1 more source

Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies [PDF]

open access: yes, 2016
Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in
Ficklin, Darren L.   +2 more
core   +3 more sources

Consequences of anthropogenic activities and beach dynamics on vertical distribution of microplastics in the mid-intertidal sediments of Donghai Island, China

open access: yesWater Science and Technology, 2022
Microplastic accumulation and resulting degradation are significant threats to the coastal ecosystems around the world. Baseline information on microplastics and their sources is of great importance for a permanent waste management system.
Mayakrishnan Machendiranathan   +8 more
doaj   +1 more source

Advanced Materials in Responsible Electronics: Innovations for Sustainability, Health, and Circularity

open access: yesAdvanced Materials Technologies, EarlyView.
Contemporary electronic devices produce significant waste, harming ecosystems. Innovation in design, consumption, materials, and end‐of‐life management is crucial. This review explores advanced materials for sustainable and responsible electronics, highlighting their potential to reduce environmental and health hazards while improving device ...
Rawan Omar   +7 more
wiley   +1 more source

Statistical Physics in Meteorology

open access: yes, 2004
Various aspects of modern statistical physics and meteorology can be tied together. The historical importance of the University of Wroclaw in the field of meteorology is first pointed out.
Andrade   +70 more
core   +1 more source

Hydrological parameter sensitivity analysis for water evaluation and planning model calibration in the Borkena River Sub-basin

open access: yesDiscover Water
Accurate parameterization of hydrological models is essential for simulating water availability and managing water resource sustainably, especially in regions with limited data and those vulnerable to climate change.
Elias Fiseha Mekonnen   +1 more
doaj   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio   +2 more
wiley   +1 more source

True‐2D ResNet Approach on Battery Data Images for Machine Learning Performance Prediction

open access: yesAdvanced Intelligent Systems, EarlyView.
A true 2D ResNet method to train and predict battery performance based on raw cycling images, making the process a true‐2D ResNet method with state‐of‐the‐art prediction accuracy, is developed. With theoretical analysis and tests on large battery datasets from real‐world electric vehicles and energy storage systems, the superiority of 2D image ...
Yuchuang Cao   +5 more
wiley   +1 more source

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