Linking climate c hange modelling to impacts studies
There is now a large published literature on the strengths and weaknesses of downscaling
methods for different climatic variables, in different regions and seasons. However, little …
methods for different climatic variables, in different regions and seasons. However, little …
The weather generation game: a review of stochastic weather models
This article reviews the historical development of statistical weather models, from simple
analyses of runs of consecutive rainy and dry days at single sites, through to multisite …
analyses of runs of consecutive rainy and dry days at single sites, through to multisite …
[BOOK][B] Statistical downscaling and bias correction for climate research
Statistical downscaling and bias correction are becoming standard tools in climate impact
studies. This book provides a comprehensive reference to widely-used approaches, and …
studies. This book provides a comprehensive reference to widely-used approaches, and …
Use of a stochastic weather generator in the development of climate change scenarios
MA Semenov, EM Barrow - Climatic change, 1997 - Springer
Climate change scenarios with a high spatial and temporal resolution are required in the
evaluation of the effects of climate change on agricultural potential and agricultural risk …
evaluation of the effects of climate change on agricultural potential and agricultural risk …
Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates
Stochastic weather generators are used in a wide range of studies, such as hydrological
applications, environmental management and agricultural risk assessments. Such studies …
applications, environmental management and agricultural risk assessments. Such studies …
Use of multi-model ensembles from global climate models for assessment of climate change impacts
Multi-model ensembles of climate predictions constructed by running several global climate
models for a common set of experiments are available for impact assessment of climate …
models for a common set of experiments are available for impact assessment of climate …
[HTML][HTML] Multisite generalization of a daily stochastic precipitation generation model
DS Wilks - journal of Hydrology, 1998 - Elsevier
The familiar chain-dependent-process stochastic model of daily precipitation, consisting of a
two-state, first-order Markov chain for occurrences and a mixed exponential distribution for …
two-state, first-order Markov chain for occurrences and a mixed exponential distribution for …
Climate change sensitivity assessment of a highly agricultural watershed using SWAT
Quantifying the hydrological response to an increased atmospheric CO2 concentration and
climate change is critical for the proper management of water resources within agricultural …
climate change is critical for the proper management of water resources within agricultural …
A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data
DT Price, DW McKenney, IA Nalder… - Agricultural and Forest …, 2000 - Elsevier
Two methods for elevation-dependent spatial interpolation of climatic data from sparse
weather station networks were compared. Thirty-year monthly mean minimum and maximum …
weather station networks were compared. Thirty-year monthly mean minimum and maximum …
Progress and recent trends in wind energy
AD Şahin - Progress in energy and combustion science, 2004 - Elsevier
Towards the end of 20th and beginning of the 21st centuries, interest has risen in new and
renewable energy (RE) sources especially wind energy for electricity generation. The …
renewable energy (RE) sources especially wind energy for electricity generation. The …