Results 261 to 270 of about 8,971 (314)

DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D2, Vertical level 2000m, Global model CanESM5, scenario ssp585 - Dehesas(Spain) and Montados(Portugal)(EURAF)

DISTENDER, Foundation for Climate Researh   +1 more
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High-frequency, low-energy organic event-based sensors for closed-loop neurostimulation. [PDF]

Nat Sens
Yang CY, Zhao Z, Wu HY, Gao D, Huang JD, Ji J, Xiong M, Liu T, Harikesh PC, Marks A, Wang XY, Massetti M, Shao S, Pei J, McCulloch I, Berggren M, Tu D, Gelinas J, Khodagholy D, Fabiano S.   +19 more
europepmc   +1 more source

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level 10m, Global model EC-EARTH3, scenario ssp370 - The North-east of the Netherlands (HUAS)

DISTENDER, Foundation for Climate Researh   +1 more
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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

DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario Historical - Guimaraes (Portugal)

DISTENDER, Foundation for Climate Researh   +1 more
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Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling

2021
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).
openaire   +1 more source

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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Statistical downscaling of monthly forecasts

International Journal of Climatology, 2000
Canonical correlation analysis (CCA) is used to downscale large-scale circulation forecasts by the Centre for Ocean‐Land‐Atmosphere studies (COLA) T30 general circulation model (GCM) statistically to regional rainfall in South Africa. Monthly GCM ensemble forecasts available from 1979 to 1995 have been generated using NCEP reanalysis data as initial ...
Willem A. Landman, Warren J. Tennant
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Statistical downscaling of river flows

Journal of Hydrology, 2010
summary An extensive statistical ‘downscaling’ study is done to relate large-scale climate information from a general circulation model (GCM) to local-scale river flows in SW France for 51 gauging stations ranging from nival (snow-dominated) to pluvial (rainfall-dominated) river-systems.
Tisseuil, Clement, Vrac, Mathieu, Lek, Sovan, Wade, Andrew   +3 more
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