Results 211 to 220 of about 11,549 (247)
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Deep Precipitation Downscaling

IEEE Geoscience and Remote Sensing Letters, 2022
Precipitation downscaling, which is similar to the mechanism of single-image super-resolution (SR), aims to improve the spatial resolution of rain maps. It is of great practical value and theoretical significance. This letter presents a new deep precipitation downscaling (DPD) method, named auxiliary guided spatial distortion (AGSD) network, motivated ...
Tingzhao Yu   +3 more
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Moving transistors downscale

Science, 2017
Device Technology One option for extending the performance of complementary metal-oxide semiconductor (CMOS) devices based on silicon technology is to use semiconducting carbon nanotubes as the gates. Qiu et al. fabricated top-gated carbon nanotube field-effect transistors with a gate length of 5 nm. Thin graphene contacts helped maintain electrostatic
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Performance Preserving Network Downscaling

38th Annual Simulation Symposium, 2005
The Internet is a large, complex, heterogeneous system operating at very high speeds and consisting of a large number of users. Researchers use a suite of tools and techniques in order to understand the performance of networks: measurements, simulations, and deployments on small to medium-scale testbeds.
Govindan, Ramesh   +2 more
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Downscaling Wind

2019
Winds within the atmospheric boundary layer (i.e., near to Earth’s surface) vary across a range of scales from a few meters and sub-second timescales (i.e., the scales of turbulent motions) to extremely large and long-period phenomena (i.e., the primary circulation patterns of the global atmosphere). Winds redistribute momentum and heat, and short- and
S.C. Pryor, A.N. Hahmann
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$L_{0}$ -Regularized Image Downscaling

IEEE Transactions on Image Processing, 2018
In this paper, we propose a novel -regularized optimization framework for image downscaling. The optimization is driven by two -regularized priors. The first prior, gradient-ratio prior, is based on the observation that the number of edges in the downscaled image is approximately inverse square proportional to the downscaling factor.
Junjie Liu   +2 more
openaire   +3 more sources

Regional Dynamical Downscaling

2020
Dynamical downscaling has been used for about 30 years to produce high-resolution climate information for studies of regional climate processes and for the production of climate information usable for vulnerability, impact assessment and adaptation studies.
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Bivariate Downscaling With Asynchronous Measurements

Journal of Agricultural, Biological, and Environmental Statistics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Xuming, Yang, Yunwen, Zhang, Jingfei
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Thermal Aspects of Satellite Downscaling

Journal of Thermophysics and Heat Transfer, 2009
The strong trend toward nanosatellites creates new challenges in terms of thermal balance control. The thermal balance of a satellite is determined by the heat dissipation in its subsystems and by the thermal connections between them. As satellites become smaller, heat dissipation in their subsystems tends to decrease and thermal connectivity scales ...
van Weeren, H.   +4 more
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Downscaling Methods

2022
Arash Yoosefdoost   +4 more
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Downscaling Climate Information

2016
What are the local consequences of a global climate change? This question is important for proper handling of risks associated with weather and climate. It also tacitly assumes that there is a systematic link between conditions taking place on a global scale and local effects.
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