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A daily weather generator for use in climate change studies

C.G. Kilsby, P.D. Jones, A. Burton, A.C. Ford, H.J. Fowler, C. Harpham, P. James, A. Smith, R.L. Wilby
2007 Environmental Modelling & Software  
This paper describes the development of a weather generator for use in climate impact assessments of agricultural and water system management.  ...  The system produces series at a daily time resolution, using two stochastic models in series: first, for rainfall which produces an output series which is then used for a second model generating the other  ...  : Weather Generator Tool''.  ... 
doi:10.1016/j.envsoft.2007.02.005 fatcat:vehfzjjw5rhcrk3h2367w65raa

Evaluation of the stochastic weather generators LARS-WG and AAFC-WG for climate change impact studies

B Qian, H Hayhoe, S Gameda
2005 Climate Research (CR)  
There is a need to know how well stochastic weather generators can produce daily climate scenarios for climate change impact studies.  ...  In general, daily climate scenarios developed by weather generators can be reasonably reliable for agricultural impact studies, provided the changes in the statistics of daily weather variables from daily  ...  We acknowledge the support of the Government of Canada's Climate Change Action Fund. We are grateful to M. A. Semenov and E. M.  ... 
doi:10.3354/cr029003 fatcat:dzw2tadxyvatzlsroepeytuqj4

A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments

Scott Steinschneider, Casey Brown
2013 Water Resources Research  
1] A multivariate, multisite daily weather generator is presented for use in decision-centric vulnerability assessments under climate change.  ...  Brown (2013), A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments, Water Resour. Res., 49, 7205-7220,  ...  To the authors' knowledge, only one study has used a weather generator to investigate a system's climate sensitivity in the context of a decision-centric climate change analysis [Jones, 2000] , and this  ... 
doi:10.1002/wrcr.20528 fatcat:4om6kuk23vgdhdrum23pyrjeii

Generation of Synthetic Daily Weather for Climate Change Scenarios and Extreme Storm Intensification

Jurgen Garbrecht, X. C. Zhang, David Brown, Phillip Busteed
2019 Environment and Natural Resources Research  
In addition, it has the capability to simulate daily weather records for climate change scenarios and storm intensification due to climate change.  ...  Generation of synthetic daily weather data is a common approach to augment limited weather observations. Here a synthetic daily weather generation model (called SYNTOR) is described.  ...  Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for  ... 
doi:10.5539/enrr.v9n2p1 fatcat:353eadyhxzcgtba2jvyimadhmy

Climate Change and Crop Exposure to Adverse Weather: Changes to Frost Risk and Grapevine Flowering Conditions

Jonathan R. Mosedale, Robert J. Wilson, Ilya M. D. Maclean, Juan A. Añel
2015 PLoS ONE  
Stochastic weather generators [6] have been used for several years to downscale the outputs of future climate models, allowing the generation of daily weather simulations at relatively high spatial resolutions  ...  Stochastic weather generators are also used with crop simulation models to explore climate change impacts on agriculture [10] .  ...  help in realising this study.  ... 
doi:10.1371/journal.pone.0141218 pmid:26496127 pmcid:PMC4619710 fatcat:6cgpixkjjfg7heccb3vbnqhdaq

Evaluating impacts of climate change on future water scarcity in an intensively managed semi-arid region using a coupled model of biophysical processes and water rights

Bangshuai Han, Shawn G. Benner, Alejandro N. Flores
2018 Hydrology and Earth System Sciences Discussions  
This study generates a large ensemble of daily climate realizations by combining a stochastic weather generator, historical climate observations, and statistically downscaled General Circulation Model  ...  The study area is the Treasure Valley, an irrigation-intensive semi-arid human-environment system. Climate projections for the region show future increases in both precipitation and temperature.  ...  This study generates a large ensemble of daily climate realizations by 26 combining a stochastic weather generator, historical climate observations, and 27 statistically downscaled General Circulation  ... 
doi:10.5194/hess-2018-140 fatcat:l2vvnv5s7jbrrin4raae7ioslm

Climate change impact on meteorological droughts in watershed scale (case study: southwestern Iran)

Alireza Nikbakht Shahbazi
2014 International Journal of Engineering & Technology  
Meteorological data simulation for future periods under General Circulation Models and climate change IPCC scenarios was performed and then the drought status using SPI under climate change effects analyzed  ...  This study intends to investigate climate change impacts on drought in Karoon3 watershed in the future.  ...  Acknowledgements This study was supported by ahvaz branch of Islamic Azad University.  ... 
doi:10.14419/ijet.v4i1.3782 fatcat:yg35i4qk7zgfvgmfpozcpp3dzm

Including Variability across Climate Change Projections in Assessing Impacts on Water Resources in an Intensively Managed Landscape

Bangshuai Han, Shawn G. Benner, Alejandro N. Flores
2019 Water  
Here we combine a stochastic weather generator together with future projections of climate change to efficiently create a large ensemble of daily weather for three climate scenarios, reflecting recent  ...  This study demonstrates how combining stochastic weather generators and future climate projections can support efforts to assess future risks of negative water resource outcomes.  ...  Osorio Leyton from Texas A&M for the help with WXGN, and Katherine Hegewisch from University of Idaho for the MACA data collection.  ... 
doi:10.3390/w11020286 fatcat:g474tk3cn5fljhjyn5yft7ytnq

Predicting Future Changes in Temperature and Precipitation in Arid Climate of Kutch, Gujarat: Analyses Based on LARS-wG Model

Jayanta Sarkar, J. R. Chicholikar, L. S. Rathore
2015 Current Science  
The aim of this study is to verify the skills of LARS-WG in simulating weather data in arid climate of Kutch, Gujarat, and predict and analyse the future changes in them for the near (2011-2030), medium  ...  Keeping in mind the challenge of climate change faced by mankind in the 21st century, this study attempts to analyse and predict changes in critical climatic variables (rainfall and temperature) to develop  ...  We thank the Director General of Meteorology, IMD, New Delhi for permission to publish this manuscript.  ... 
doi:10.18520/cs/v109/i11/2084-2093 fatcat:b7bqfol66fcupa53srgboasru4

A comparison of stochastic and deterministic downscaling methods for modelling potential groundwater recharge under climate change in East Anglia, UK: implications for groundwater resource management

I. P. Holman, D. Tascone, T. M. Hess
2009 Hydrogeology Journal  
This paper compares future estimates of potential groundwater recharge calculated using a daily soil-water balance model and climate-change weather time series derived using change factor (deterministic  ...  ) and weather generator (stochastic) methods for Coltishall, UK.  ...  The United Kingdom Climate Impacts Programme (UKCIP) is acknowledged for use of the UKCIP02 climate change scenarios, and Dr Juan Rodríguez Díaz and Dr Jerry Knox (Cranfield University) for the change  ... 
doi:10.1007/s10040-009-0457-8 fatcat:7oxhoeu5xrcjljawb6xd55frey

Performance of stochastic weather generators LARS-WG and AAFC-WG for reproducing daily extremes of diverse Canadian climates

B Qian, S Gameda, H Hayhoe
2008 Climate Research (CR)  
Bryson Bates, for their critique and constructive suggestions on earlier versions of this paper. Dr. Xuebin Zhang is also acknowledged for a useful discussion. This is ECORC Contribution No. 06-747.  ...  The authors are indebted to 2 internal reviewers Reinder de Jong and Brian Grant, as well as Elizabeth Pattey of the ECORC Publication Committee, for their comments, which were helpful in the improvement  ...  The findings from such a study may be useful in seeking appropriate methodologies for the improvement of weather generation with regards to climate extremes.  ... 
doi:10.3354/cr00755 fatcat:w47g4zxvebe6ndnn2xbkfrbtj4

Using climate change models to assess the probability of weather extremes events: a local scale study based on the generalized extreme value distribution

Mariana Fontolan, Ana Carolina Freitas Xavier, Heloisa Ramos Pereira, Gabriel Constantino Blain
2019 Bragantia  
Regional climate models (e.g. Eta) nested to global climate models (e.g. HadGEM2-ES and MIROC5) have been used to assess potential impacts of climate change at regional scales.  ...  This study used the generalized extreme value distribution (GEV) to evaluate the ability of two nested models (Eta-HadGEM2-ES and Eta-MIROC5) to assess the probability of daily extremes of air temperature  ...  Finally, as a case study, these two climate models were used to estimate the probability of daily-extremes of air temperature and precipitation for the period of 2041-2070.  ... 
doi:10.1590/1678-4499.2018144 fatcat:qwjjwx7dvnau3pb4qd2bj4ncui

Statistical Downscaling of Precipitation and Temperature Using Long Ashton Research Station Weather Generator in Zambia: A Case of Mount Makulu Agriculture Research Station

Charles Bwalya Chisanga, Elijah Phiri, Vernon R. N. Chinene
2017 American Journal of Climate Change  
The Long Ashton Research Station Weather Generator (LARS-WG) is a stochastic weather generator used for the simulation of weather data at a single site under both current and future climate conditions  ...  It was calibrated using the baseline (1981-2010) and evaluated to determine its suitability in generating synthetic weather data for 2020 and 2055 according to the projections of HadCM3 and BCCR-BCM2 GCMs  ...  Mikhail A. Semenov for the provision of Long Ashton Research Station Weather Generator and license used in this study. Thanks are also extended to Dr. Alexander C.  ... 
doi:10.4236/ajcc.2017.63025 fatcat:wyu2pcckszeprh5mgbomo2z6he

Future climate change scenario in hot semi-arid climate of Saurashtra, Gujarat by using statistical downscaling by LARS-WG model

JAYANTA SARKAR, J. R. CHICHOLIKAR
2021 Mausam  
Keeping this in mind, this study aims to verify the skills of LARS-WG (Long Ashton Research - Weather Generator), a statistical downscaling model, in simulating weather data in hot semi-arid climate of  ...  Analyses and prediction of change in critical climatic variables like rainfall and temperature are, therefore, extremely important.  ...  Ramesh, DG, IMD, New Delhi for his encouragement in carrying out the study.  ... 
doi:10.54302/mausam.v68i4.714 fatcat:34igvepo6jbi3bwgytvrvo2lcm

Evaluation of a multi-site weather generator in simulating precipitation in the Qiantang River Basin, East China

Yue-ping Xu, Chong Ma, Su-li Pan, Qian Zhu, Qi-hua Ran
2014 Journal of Zhejiang University: Science A  
Recent years have seen a surge in assessment of potential impacts of climate change.  ...  As one of the most important tools for generating synthetic hydrological model inputs, weather generators have played an important role in climate change impact analysis of water management.  ...  Guillermo A.  ... 
doi:10.1631/jzus.a1300267 fatcat:hqxcbmlkknfito3v7vmocdim6y
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