Connectivity analysis in clustered wireless sensor networks powered by solar energy [PDF]
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Alonso Zárate, Luis Gonzaga +4 more
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High daily temperatures in the Mediterranean and Europe have been documented in observation and modeling studies. Long-term temperature data, from 1988 to 2017, from a suburban station and an urban station in Nicosia, Cyprus have been analyzed, and the ...
A. Pyrgou, M. Santamouris, I. Livada
semanticscholar +1 more source
Advances in solar forecasting: Computer vision with deep learning
Renewable energy forecasting is crucial for integrating variable energy sources into the grid. It allows power systems to address the intermittency of the energy supply at different spatiotemporal scales.
Quentin Paletta +8 more
doaj +1 more source
Sensitivity of single column model simulations of Arctic springtime clouds to different cloud cover and mixed phase cloud parameterizations [PDF]
The single column model of the Canadian Centre for Climate Modeling and Analysis (CCCma) climate model is used to simulate Arctic spring cloud properties observed during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment. The model is driven by the rawinsonde observations constrained European Center for Medium‐Range Weather Forecasts (ECMWF)
Junhua Zhang, Ulrike Lohmann
openaire +1 more source
Multiscale assimilation of Advanced Microwave Scanning Radiometer-EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado [PDF]
Eight years (2002–2010) of Advanced Microwave Scanning Radiometer–EOS (AMSR-E) snow water equivalent (SWE) retrievals and Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover fraction (SCF) observations are assimilated separately or jointly ...
Arsenault, Kristi R +6 more
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Boundary Layer Clouds in a Global Atmospheric Model: Simple Cloud Cover Parameterizations
Abstract Subtropical boundary layer clouds have a fundamental role on the radiative budget of the atmosphere and on the modulation of the tropical circulations. The development of realistic parameterizations of these clouds in global atmospheric models is a major challenge. Unfortunately, this has been a difficult problem to solve in an acceptable way.
João Teixeira, Timothy F. Hogan
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Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning [PDF]
Recent advances in technology have revolutionized the acquisition of topographic data, offering new perspectives on the structure and morphology of the Earth's surface.
Brasington, J. +2 more
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Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization [PDF]
Cloud cover is a significant meteorological parameter influencing the amount of solar radiation reaching the ground surface, and therefore affecting the formation of photochemical pollutants, most of all tropospheric ozone (O3). Because cloud amount and type in meteorological models are resolved by microphysics schemes, adjusting this parameterization ...
Wałaszek, Kinga +4 more
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A Patchy Cloud Model for the L to T Dwarf Transition
One of the mechanisms suggested for the L to T dwarf spectral type transition is the appearance of relatively cloud-free regions across the disk of brown dwarfs as they cool.
Ackerman +24 more
core +1 more source
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference [PDF]
We propose a data-driven method for recovering miss-ing parts of 3D shapes. Our method is based on a new deep learning architecture consisting of two sub-networks: a global structure inference network and a local geometry refinement network.
Han, Xiaoguang +4 more
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