Results 61 to 70 of about 2,660,815 (249)
Comparison of data-driven methods for downscaling ensemble weather forecasts [PDF]
Hydrology and Earth System Sciences, 2008 This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical ...
Xiaoli Liu, P. Coulibaly, N. Evora
doaj
, 2020 Global Earth Systems Integrated Assessment Models are used by policymakers to understand the complex interactions between anthropogenic activity, including energy use, and its environmental impacts.
Wang, J.R. (author)
core
Statistical downscaling of extreme temperature values [PDF]
, 2017 This diploma thesis deals with statistical downscaling of extréme temperature values. In first section describes two type sof downscaling- dynamical and statistical.
Krejčová, Zuzana
core
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
American Journal of Botany, EarlyView.Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
Weather and Climate ExtremesThis study evaluates statistical downscaling techniques using different metrics and compares climate change signals and extreme precipitation and temperature changes under future climate change scenarios in the Bosque watershed, North-Central Texas.
Gebrekidan Worku Tefera +2 more
doaj +1 more source
Hybrid downscaling of wind climates over the eastern USA
Environmental Research Letters, 2014 Weibull distribution parameters (scale and shape) of wind speeds at 85 stations over the eastern USA are downscaled from distribution parameters of large-scale climate variables drawn from both global and regional models.
S C Pryor, R J Barthelmie
doaj +1 more source
Improving Statistical Downscaling of General Circulation Models
, 2010 Credible projections of future local climate change are in demand. One way to accomplish this is to statistically downscale General Circulation Models (GCM’s).
Titus, Matthew Lee
core
Transfer function models for statistical downscaling of monthly precipitation [PDF]
, 2016 Three transfer function based statistical downscaling namely, linear regression model (LM), generalized linear model (GLM), generalized additive model (GAM) have been developed to assess their performance in downscaling monthly rainfall. Previous studies
Hadipour, Sahar +3 more
core +1 more source
British Educational Research Journal, EarlyView.Abstract This paper presents an exploratory analysis of contemporary curricular and professional qualification policies in the Scottish education system, focusing on minimum qualification thresholds for mathematics teaching. The study examines how veteran secondary mathematics practitioners perceive the structural and pedagogical implications of using ...
Paul Argyle McDonald
wiley +1 more source
Geophysical Research LettersAssessing local climate change impacts often requires downscaling coarse global climate model (GCM) output to finer resolution. Two main approaches exist: dynamical downscaling using high‐resolution regional climate models, and statistical downscaling ...
Nicholas Siler +5 more
doaj +1 more source