Stochastic weather generators for climate-change downscaling, part II: multivariable and spatially coherent multisite downscaling

2012 ◽  
Vol 3 (3) ◽  
pp. 267-278 ◽  
Author(s):  
Daniel S. Wilks
Keyword(s):  
Climate Change ◽  
Weather Generators ◽  
Stochastic Weather Generators

scholarly journals Quantifying Uncertainty Due to Stochastic Weather Generators in Climate Change Impact Studies

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Fosco M. Vesely ◽  
Livia Paleari ◽  
Ermes Movedi ◽  
Gianni Bellocchi ◽  
Roberto Confalonieri
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Impact Studies ◽  
Weather Generators ◽  
Change Impact ◽  
Stochastic Weather Generators ◽  
Quantifying Uncertainty

scholarly journals Evaluating catchment response to artificial rainfall from four weather generators for present and future climate

2018 ◽  
Vol 77 (11) ◽  
pp. 2578-2588 ◽  
Author(s):  
Hjalte Jomo Danielsen Sørup ◽  
Steffen Davidsen ◽  
Roland Löwe ◽  
Søren Liedtke Thorndahl ◽  
Morten Borup ◽  
...  
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Control Measures ◽  
Rainfall Time Series ◽  
Urban Water ◽  
Combined Sewer Overflows ◽  
Climate Conditions ◽  
Artificial Rainfall ◽  
Weather Generators ◽  
Catchment Responses

Abstract The technical lifetime of urban water infrastructure has a duration where climate change has to be considered when alterations to the system are planned. Also, models for urban water management are reaching a very high complexity level with, for example, decentralized stormwater control measures being included. These systems have to be evaluated under as close-to-real conditions as possible. Long term statistics (LTS) modelling with observational data is the most close-to-real solution for present climate conditions, but for future climate conditions artificial rainfall time series from weather generators (WGs) have to be used. In this study, we ran LTS simulations with four different WG products for both present and future conditions on two different catchments. For the present conditions, all WG products result in realistic catchment responses when it comes to the number of full flowing pipes and the number and volume of combined sewer overflows (CSOs). For future conditions, the differences in the WGs representation of the expectations to climate change is evident. Nonetheless, all future results indicate that the catchments will have to handle more events that utilize the full capacity of the drainage systems. Generally, WG products are relevant to use in planning of future changes to sewer systems.

scholarly journals Comparative Study of Different Stochastic Weather Generators for Long-Term Climate Data Simulation

Climate ◽  
2017 ◽  
Vol 5 (2) ◽  
pp. 26 ◽  
Author(s):  
Sushant Mehan ◽  
Tian Guo ◽  
Margaret Gitau ◽  
Dennis C. Flanagan
Keyword(s):  
Comparative Study ◽  
Climate Data ◽  
Data Simulation ◽  
Weather Generators ◽  
Stochastic Weather Generators

scholarly journals Use of weather generators for assessing local scale impact of climate change on dead fuel moisture

2014 ◽  
pp. 1295-1300
Author(s):  
Grazia Pellizzaro ◽  
Martin Dubrovsky ◽  
Sara Bortolu ◽  
Bachisio Arca ◽  
Andrea Ventura ◽  
...  
Keyword(s):  
Climate Change ◽  
Local Scale ◽  
Fuel Moisture ◽  
Impact Of Climate Change ◽  
Weather Generators

scholarly journals Comparison of LARS-WG and AAFC-WG stochastic weather generators for diverse Canadian climates

2004 ◽  
Vol 26 ◽  
pp. 175-191 ◽  
Author(s):  
B Qian ◽  
S Gameda ◽  
H Hayhoe ◽  
R De Jong ◽  
A Bootsma
Keyword(s):  
Weather Generators ◽  
Stochastic Weather Generators
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