Results 231 to 240 of about 33,164 (284)

A General Stiffness-Scaling Framework for Accelerating Graph-Theoretical Kinetic Monte Carlo Simulations. [PDF]

J Chem Theory Comput
Prats H, Li W, Stamatakis M.
europepmc   +1 more source

Climate change projections using CMIP6 GCMs and downscaling approaches in the Upper Wabe Shebele Basin, Ethiopia. [PDF]

Sci Rep
Beshir S, Moges A, Dananto M.
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Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets. [PDF]

Sci Rep
Alasqah A, Tayyeh HK, Mohammed R, Hussein AM, Khedher KM, Benzougagh B.   +5 more
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Global Bias-Corrected CORDEX Dataset at Quarter Degree Resolution. [PDF]

Sci Data
Yakubu F, Böhner J, Schickhoff U, Scholten T, Ul Hasson S.   +4 more
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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, Qiuming Kuang, Jiangping Zheng, Junnan Hu   +3 more
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Downscaling Global Climate Simulations to Regional Scales: Statistical Downscaling versus Dynamical Downscaling

Journal of Hydrologic Engineering, 2015
AbstractDownscaling is a fundamental procedure in the assessment of the future climate change impact at regional and watershed scales. Hence, it is important to investigate the spatial variability of the climate conditions that are constructed by various downscaling methods to assess whether each method can properly model the climate conditions at ...
S. Jang, M. L. Kavvas
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Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling

2021
Abstract Empirical-statistical downscaling (ESD) models use statistical relationships to infer local climate information from large-scale climate information produced by global climate models (GCMs), as an alternative to the dynamical downscaling provided by regional climate models (RCMs).
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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, Papadopoulos, Fragkiskos, Psounis, Konstantinos   +2 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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Downscaling Wind

2019
Abstract 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).
S C Pryor, A N Hahmann
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