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Journal articles on the topic 'Weather Generator (WG)'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Fodor, Nándor, Ildikó Dobi, János Mika, and László Szeidl. "Applications of the MVWG Multivariable Stochastic Weather Generator." Scientific World Journal 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/571367.

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Weather generators (WG) became significant modules of crop models and decision support systems in the past decade. Using a large meteorological database from North America; two basic problems, related to the applicability of WGs in case of short or lacking data series, were investigated in the framework of the Multivariable weather generator (MVWG). First, the minimum data series length, required for adequate parameterization of the WG, was determined. Our results suggest that 15 years of observed data are enough for adequate parameterization of the MVWG. We then investigated a possibility of

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2

Fodor, Nándor, Ildikó Dobi, János Mika, and László Szeidl. "MV-WG: a new multi-variable weather generator." Meteorology and Atmospheric Physics 107, no. 3-4 (2010): 91–101. http://dx.doi.org/10.1007/s00703-010-0074-z.

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3

Ma, D., Q. Jing, YP Xu, et al. "Using ensemble-mean climate scenarios for future crop yield projections: a stochastic weather generator approach." Climate Research 83 (May 6, 2021): 161–71. http://dx.doi.org/10.3354/cr01646.

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Using climate scenarios from only 1 or a small number of global climate models (GCMs) in climate change impact studies may lead to biased assessment due to large uncertainty in climate projections. Ensemble means in impact projections derived from a multi-GCM ensemble are often used as best estimates to reduce bias. However, it is often time consuming to run process-based models (e.g. hydrological and crop models) in climate change impact studies using numerous climate scenarios. It would be interesting to investigate if using a reduced number of climate scenarios could lead to a reasonable es

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Sørup, Hjalte Jomo Danielsen, Ole Bøssing Christensen, Karsten Arnbjerg-Nielsen, and Peter Steen Mikkelsen. "Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator." Hydrology and Earth System Sciences 20, no. 4 (2016): 1387–403. http://dx.doi.org/10.5194/hess-20-1387-2016.

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Abstract. Spatio-temporal precipitation is modelled for urban application at 1 h temporal resolution on a 2 km grid using a spatio-temporal Neyman–Scott rectangular pulses weather generator (WG). Precipitation time series used as input to the WG are obtained from a network of 60 tipping-bucket rain gauges irregularly placed in a 40 km × 60 km model domain. The WG simulates precipitation time series that are comparable to the observations with respect to extreme precipitation statistics. The WG is used for downscaling climate change signals from regional climate models (RCMs) with spatial resol

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Jones, P. D., C. Harpham, C. M. Goodess, and C. G. Kilsby. "Perturbing a Weather Generator using change factors derived from Regional Climate Model simulations." Nonlinear Processes in Geophysics 18, no. 4 (2011): 503–11. http://dx.doi.org/10.5194/npg-18-503-2011.

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Abstract. The purpose of this paper is to provide a method for perturbing Weather Generators (WGs) for future decades and to assess its effectiveness. Here the procedure is applied to the WG implemented within the UKCP09 package and assessed using data from a Regional Climate Model (RCM) simulation which provides a significant "climate change" between a control run period and a distant future. The WG is normally calibrated on observed data. For this study, data from an RCM control period (1961–1990) was used, then perturbed using the procedure. Because only monthly differences between the RCM

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Sørup, H. J. D., O. B. Christensen, K. Arnbjerg-Nielsen, and P. S. Mikkelsen. "Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator." Hydrology and Earth System Sciences Discussions 12, no. 2 (2015): 2561–605. http://dx.doi.org/10.5194/hessd-12-2561-2015.

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Abstract. Spatio-temporal precipitation is modelled for urban application at 1 h temporal resolution on a 2 km grid using a Spatio-Temporal Neyman–Scott Rectangular Pulses weather generator (WG). Precipitation time series for fitting the model are obtained from a network of 60 tipping-bucket rain gauges irregularly placed in a 40 by 60 km model domain. The model simulates precipitation time series that are comparable to the observations with respect to extreme precipitation statistics. The WG is used for downscaling climate change signals from Regional Climate Models (RCMs) with spatial resolu

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Halabian, Amir Hossein, and M. S. Keikhosravi. "Exploring climate change over Khazar Basin based on LARSE-WG weather generator." Bioscience Biotechnology Research Communications 10, no. 3 (2017): 372–79. http://dx.doi.org/10.21786/bbrc/10.3/6.

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8

Semenov, MA, and RJ Brooks. "Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain." Climate Research 11 (1999): 137–48. http://dx.doi.org/10.3354/cr011137.

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Osman, Yassin, Nadhir Al-Ansari, Mawada Abdellatif, Sadeq B. Aljawad, and Sven Knutsson. "Expected Future Precipitation in Central Iraq Using LARS-WG Stochastic Weather Generator." Engineering 06, no. 13 (2014): 948–59. http://dx.doi.org/10.4236/eng.2014.613086.

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10

Gelfan, Alexander, Vsevolod Moreydo, Yury Motovilov, and Dimitri P. Solomatine. "Long-term ensemble forecast of snowmelt inflow into the Cheboksary Reservoir under two different weather scenarios." Hydrology and Earth System Sciences 22, no. 4 (2018): 2073–89. http://dx.doi.org/10.5194/hess-22-2073-2018.

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Abstract. A long-term forecasting ensemble methodology, applied to water inflows into the Cheboksary Reservoir (Russia), is presented. The methodology is based on a version of the semi-distributed hydrological model ECOMAG (ECOlogical Model for Applied Geophysics) that allows for the calculation of an ensemble of inflow hydrographs using two different sets of weather ensembles for the lead time period: observed weather data, constructed on the basis of the Ensemble Streamflow Prediction methodology (ESP-based forecast), and synthetic weather data, simulated by a multi-site weather generator (W

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11

Rajczak, Jan, Sven Kotlarski, and Christoph Schär. "Does Quantile Mapping of Simulated Precipitation Correct for Biases in Transition Probabilities and Spell Lengths?" Journal of Climate 29, no. 5 (2016): 1605–15. http://dx.doi.org/10.1175/jcli-d-15-0162.1.

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Abstract Climate impact studies constitute the basis for the formulation of adaptation strategies. Usually such assessments apply statistically postprocessed output of climate model projections to force impact models. Increasingly, time series with daily resolution are used, which require high consistency, for instance with respect to transition probabilities (TPs) between wet and dry days and spell durations. However, both climate models and commonly applied statistical tools have considerable uncertainties and drawbacks. This paper compares the ability of 1) raw regional climate model (RCM)

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Peleg, Nadav, and Efrat Morin. "Stochastic convective rain-field simulation using a high-resolution synoptically conditioned weather generator (HiReS-WG)." Water Resources Research 50, no. 3 (2014): 2124–39. http://dx.doi.org/10.1002/2013wr014836.

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13

Mohammadzadeh, Naser, Bahman Jabbarian Amiri, Leila Eslami Endergoli, and Shirin Karimi. "Coupling Tank Model and Lars-Weather Generator in Assessments of the Impacts of Climate Change on Water Resources." Slovak Journal of Civil Engineering 27, no. 1 (2019): 14–24. http://dx.doi.org/10.2478/sjce-2019-0003.

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Abstract With the aim of assessing the impact of climate change on surface water resources, a conceptual rainfall-runoff model (the tank model) was coupled with LARS-WG as a weather generator model. The downscaled daily rainfall, temperature, and evaporation from LARS-WG under various IPCC climate change scenarios were used to simulate the runoff through the calibrated Tank model. A catchment (4648 ha) located in the southern basin of the Caspian Sea was chosen for this research study. The results showed that this model has a reasonable predictive capability in simulating minimum and maximum t

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KOCMÁNKOVÁ, E., M. TRNKA, J. EITZINGER, et al. "Estimating the impact of climate change on the occurrence of selected pests at a high spatial resolution: a novel approach." Journal of Agricultural Science 149, no. 2 (2011): 185–95. http://dx.doi.org/10.1017/s0021859610001140.

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SUMMARYThe present study is focused on the potential occurrence of the Colorado potato beetle (Leptinotarsa decemlineata, Say 1824), an important potato pest, and the European corn borer (Ostrinia nubilalis, Hübner 1796), the most important maize pest, during climate change. Estimates of the current potential distribution of both pest species as well as their distribution in the expected climate conditions are based on the CLIMEX model. The study covers central Europe, including Austria, the Czech Republic, Hungary, and parts of Germany, Poland, Romania, Slovakia, Switzerland, Ukraine, Sloveni

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15

Qin, X. S., and Y. Lu. "Study of Climate Change Impact on Flood Frequencies: A Combined Weather Generator and Hydrological Modeling Approach*." Journal of Hydrometeorology 15, no. 3 (2014): 1205–19. http://dx.doi.org/10.1175/jhm-d-13-0126.1.

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Abstract Climate change is expected to lead to more frequent and intensive flooding problems for watersheds in the south part of China. This study presented a coupled Long Ashton Research Station Weather Generator (LARS-WG) and Semidistributed Land Use–Based Runoff Processes (SLURP) approach for flood frequency analysis and applied it to the Heshui watershed, China. LARS-WG, as a weather generator, was used to offer 46 sets of climate data from seven general circulation models (GCMs) under various emission scenarios (i.e., A1B, B1, and A2) over near-term and future periods (i.e., T1, 2011–30;

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Danesh, Azin Shahni, Mohammad Sadegh Ahadi, Hedayat Fahmi, Majid Habibi Nokhandan, and Hadi Eshraghi. "Climate change impact assessment on water resources in Iran: applying dynamic and statistical downscaling methods." Journal of Water and Climate Change 7, no. 3 (2016): 551–77. http://dx.doi.org/10.2166/wcc.2016.045.

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As a result of inappropriate management and rising levels of societal demand, in arid and semi-arid regions water resources are becoming increasingly stressed. Therefore, well-established insight into the effects of climate change on water resource components can be considered to be an essential strategy to reduce these effects. In this paper, Iran's climate change and variability, and the impact of climate change on water resources, were studied. Climate change was assessed by means of two Long Ashton Research Station-Weather Generator (LARS-WG) weather generators and all outputs from the ava

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Keller, D. E., A. M. Fischer, C. Frei, M. A. Liniger, C. Appenzeller, and R. Knutti. "Stochastic modelling of spatially and temporally consistent daily precipitation time-series over complex topography." Hydrology and Earth System Sciences Discussions 11, no. 7 (2014): 8737–77. http://dx.doi.org/10.5194/hessd-11-8737-2014.

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Abstract. Many climate impact assessments over topographically complex terrain require high-resolution precipitation time-series that have a spatio-temporal correlation structure consistent with observations. This consistency is essential for spatially distributed modelling of processes with non-linear responses to precipitation input (e.g. soil water and river runoff modelling). In this regard, weather generators (WGs) designed and calibrated for multiple sites are an appealing technique to stochastically simulate time-series that approximate the observed temporal and spatial dependencies. In

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18

Li, Sha, Zhao, and Wang. "Estimating the Responses of Hydrological and Sedimental Processes to Future Climate Change in Watersheds with Different Landscapes in the Yellow River Basin, China." International Journal of Environmental Research and Public Health 16, no. 20 (2019): 4054. http://dx.doi.org/10.3390/ijerph16204054.

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This study concerned the sediment issue of the Yellow River basin. The responses of hydrological and sedimental processes to future climate change in two upland watersheds with different dominant landscapes were estimated. Four Representative Concentration Pathway (RCP) scenarios with different radiative forcing levels were considered. The outputs of eleven Global Climate Models (GCMs) were used to represent the future climate status of the 2050s and 2070s, and an ensemble means was achieved to avoid uncertainty. The Long Ashton Research Station Weather Generator (LARS-WG) was employed to down

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19

Dobler, C., G. Bürger, and J. Stötter. "Simulating future precipitation extremes in a complex Alpine catchment." Natural Hazards and Earth System Sciences 13, no. 2 (2013): 263–77. http://dx.doi.org/10.5194/nhess-13-263-2013.

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Abstract. The objectives of the present investigation are (i) to study the effects of climate change on precipitation extremes and (ii) to assess the uncertainty in the climate projections. The investigation is performed on the Lech catchment, located in the Northern Limestone Alps. In order to estimate the uncertainty in the climate projections, two statistical downscaling models as well as a number of global and regional climate models were considered. The downscaling models applied are the Expanded Downscaling (XDS) technique and the Long Ashton Research Station Weather Generator (LARS-WG).

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20

Punyawansiri, Surasit, and Bancha Kwanyuen. "Forecasting the Future Temperature Using a Downscaling Method by LARS-WG Stochastic Weather Generator at the Local Site of Phitsanulok Province, Thailand." Atmospheric and Climate Sciences 10, no. 04 (2020): 538–52. http://dx.doi.org/10.4236/acs.2020.104028.

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21

Chisanga, Charles Bwalya, Elijah Phiri, and Vernon R. N. Chinene. "Reliability of Rain-Fed Maize Yield Simulation Using LARS-WG Derived CMIP5 Climate Data at Mount Makulu, Zambia." Journal of Agricultural Science 12, no. 11 (2020): 275. http://dx.doi.org/10.5539/jas.v12n11p275.

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The impact of climate change on crop growth and yield can be predicted using crop simulation models. A study was conducted to assess the reliability and uncertainty of simulated maize yield for the near future in 2050s at Mount Makulu (latitude = 15.550o S, longitude = 28.250o E, altitude = 1213 m), Zambia. The Long Ashton Research Station Weather Generator (LARS-WG) was used to generate baseline (1980-2010) and future (2040-2069) climate scenarios for two Representative Concentration Pathways (RCP 4.5 and RCP 8.5). Results showed that mean temperature would increase by 2.09oC (RCP 4.5) and 2.

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22

Keller, D. E., A. M. Fischer, C. Frei, M. A. Liniger, C. Appenzeller, and R. Knutti. "Implementation and validation of a Wilks-type multi-site daily precipitation generator over a typical Alpine river catchment." Hydrology and Earth System Sciences 19, no. 5 (2015): 2163–77. http://dx.doi.org/10.5194/hess-19-2163-2015.

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Abstract. Many climate impact assessments require high-resolution precipitation time series that have a spatio-temporal correlation structure consistent with observations, for simulating either current or future climate conditions. In this respect, weather generators (WGs) designed and calibrated for multiple sites are an appealing statistical downscaling technique to stochastically simulate multiple realisations of possible future time series consistent with the local precipitation characteristics and their expected future changes. In this study, we present the implementation and validation o

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23

Taye, M. T., and P. Willems. "Influence of downscaling methods in projecting climate change impact on hydrological extremes of upper Blue Nile basin." Hydrology and Earth System Sciences Discussions 10, no. 6 (2013): 7857–96. http://dx.doi.org/10.5194/hessd-10-7857-2013.

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Abstract. Methods from two statistical downscaling categories were used to investigate the impact of climate change on high rainfall and flow extremes of the upper Blue Nile basin. The main downscaling differences considered were on the rainfall variable while a generally similar method was applied for temperature. The applied downscaling methods are a stochastic weather generator, LARS-WG, and an advanced change factor method, the Quantile Perturbation Method (QPM). These were applied on 10 GCM runs and two emission scenarios (A1B and B1). The downscaled rainfall and evapotranspiration were i

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Alam, Md Shahabul, S. Lee Barbour, Amin Elshorbagy, and Mingbin Huang. "The Impact of Climate Change on the Water Balance of Oil Sands Reclamation Covers and Natural Soil Profiles." Journal of Hydrometeorology 19, no. 11 (2018): 1731–52. http://dx.doi.org/10.1175/jhm-d-17-0230.1.

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Abstract The design of reclamation soil covers at oil sands mines in northern Alberta, Canada, has been conventionally based on the calibration of soil–vegetation–atmosphere transfer (SVAT) models against field monitoring observations collected over several years, followed by simulations of long-term performance using historical climate data. This paper evaluates the long-term water balances for reclamation covers on two oil sands landforms and three natural coarse-textured forest soil profiles using both historical climate data and future climate projections. Twenty-first century daily precip

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Ebrahim, Girma Yimer, Andreja Jonoski, Ann van Griensven, and Giuliano Di Baldassarre. "Downscaling technique uncertainty in assessing hydrological impact of climate change in the Upper Beles River Basin, Ethiopia." Hydrology Research 44, no. 2 (2012): 377–98. http://dx.doi.org/10.2166/nh.2012.037.

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We investigate the uncertainty associated with downscaling techniques in climate impact studies, using the Upper Beles River Basin (Upper Blue Nile) in Ethiopia as an example. The main aim of the study is to estimate the two sources of uncertainty in downscaling models: (1) epistemic uncertainty and (2) stochastic uncertainty due to inherent variability. The first aim was achieved by driving a Hydrologic Engineering Centre-Hydrological Modelling System (HEC-HMS) model with downscaled daily precipitation and temperature using three downscaling models: Statistical Downscaling Model (SDSM), the L

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Koutsovili, Eleni Ioanna, Ourania Tzoraki, Nicolaos Theodossiou, and Petros Gaganis. "Numerical assessment of climate change impact on the hydrological regime of a small Mediterranean river, Lesvos Island, Greece." Acta Horticulturae et Regiotecturae 24, no. 1 (2021): 28–48. http://dx.doi.org/10.2478/ahr-2021-0022.

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Abstract Frequency of flash floods and droughts in the Mediterranean climate zone is expected to rise in the coming years due to change of its climate. The assessment of the climate change impact at a basin scale is essential for developing mitigation and adaptation plans. This study analyses the variation of the hydrologic regime of a small Mediterranean river (the Kalloni river in Lesvos Island, Greece) by the examination of possible future climate change scenarios. The hydrologic response of the basin was simulated based on Hydrologic Modeling System developed by the Hydrologic Engineering

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Khoi, Dao Nguyen, Nguyen Trong Quan, Pham Thi Thao Nhi, and Van Thinh Nguyen. "Impact of Climate Change on Precipitation Extremes over Ho Chi Minh City, Vietnam." Water 13, no. 2 (2021): 120. http://dx.doi.org/10.3390/w13020120.

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In the context of climate change, the impact of hydro-meteorological extremes, such as floods and droughts, has become one of the most severe issues for the governors of mega-cities. The main purpose of this study is to assess the spatiotemporal changes in extreme precipitation indices over Ho Chi Minh City, Vietnam, between the near (2021–2050) and intermediate (2051–2080) future periods with respect to the baseline period (1980–2009). The historical extreme indices were calculated through observed daily rainfall data at 11 selected meteorological stations across the study area. The future ex

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Khoi, Dao Nguyen, Nguyen Trong Quan, Pham Thi Thao Nhi, and Van Thinh Nguyen. "Impact of Climate Change on Precipitation Extremes over Ho Chi Minh City, Vietnam." Water 13, no. 2 (2021): 120. http://dx.doi.org/10.3390/w13020120.

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In the context of climate change, the impact of hydro-meteorological extremes, such as floods and droughts, has become one of the most severe issues for the governors of mega-cities. The main purpose of this study is to assess the spatiotemporal changes in extreme precipitation indices over Ho Chi Minh City, Vietnam, between the near (2021–2050) and intermediate (2051–2080) future periods with respect to the baseline period (1980–2009). The historical extreme indices were calculated through observed daily rainfall data at 11 selected meteorological stations across the study area. The future ex

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Sha, Jian, Xue Li, and Jingjing Yang. "Estimation of Watershed Hydrochemical Responses to Future Climate Changes Based on CMIP6 Scenarios in the Tianhe River (China)." Sustainability 13, no. 18 (2021): 10102. http://dx.doi.org/10.3390/su131810102.

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The impacts of future climate changes on watershed hydrochemical processes were assessed based on the newest Shared Socioeconomic Pathways (SSP) scenarios in Coupled Model Intercomparison Project Phase 6 (CMIP6) in the Tianhe River in the middle area of China. The monthly spatial downscaled outputs of General Circulation Models (GCMs) were used, and a new Python procedure was developed to batch pick up site-scale climate change information. A combined modeling approach was proposed to estimate the responses of the streamflow and Total Dissolved Nitrogen (TDN) fluxes to four climate change scen

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Appiah-Adjei, Emmanuel Kwame, Long Cang Shu, Kwaku Amaning Adjei, and Cheng Peng Lu. "Evaluation of Climate Change Impact on Sustainability of Tailan Underground Reservoir in China." Advanced Materials Research 726-731 (August 2013): 3249–55. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3249.

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In order to ensure availability of water throughout the year in the Tailan River basin of northwestern China, an underground reservoir has been constructed in the basin to augment the groundwater resource and efficiently utilize it. This study investigates the potential impact of future climate change on the reservoir by assessing its influence on sustainability of recharge sources to the reservoir. The methods employed involved using a combined Statistical Downscaling Model (SDSM) and Long Ashton Research Station Weather Generator (LARS-WG) to downscale the climate variations of the basin fro

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31

Daksiya, Velautham, Pradeep Mandapaka, and Edmond Y. M. Lo. "A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions." Advances in Meteorology 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/2620798.

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The impact of changing climate on the frequency of daily rainfall extremes in Jakarta, Indonesia, is analysed and quantified. The study used three different models to assess the changes in rainfall characteristics. The first method involves the use of the weather generator LARS-WG to quantify changes between historical and future daily rainfall maxima. The second approach consists of statistically downscaling general circulation model (GCM) output based on historical empirical relationships between GCM output and station rainfall. Lastly, the study employed recent statistically downscaled glob

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Lago, Isabel, Nereu Augusto Streck, Cleber Maus Alberto, Felipe Brendler Oliveira, and Gizelli Moiano de Paula. "Impact of increasing mean air temperature on the development of rice and red rice." Pesquisa Agropecuária Brasileira 43, no. 11 (2008): 1441–48. http://dx.doi.org/10.1590/s0100-204x2008001100001.

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The objective of this study was to assess the development response of cultivated rice and red rice to different increases in minimum and maximum daily air temperatures, in Santa Maria, Rio Grande do Sul State, Brazil. One hundred years climate scenarios of temperatures 0, +1, +2, +3, +4, and +5ºC, with symmetric and asymmetric increases in minimum and maximum daily air temperatures were created, using the LARS-WG Weather Generator, and a 1969-2003 database. Nine cultivated rice genotypes (IRGA 421, IRGA 416, IRGA 417, IRGA 420, BRS 7 TAIM, BR-IRGA 409, EPAGRI 109, EEA 406 and a hybrid), and tw

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Fenta Mekonnen, Dagnenet, and Markus Disse. "Analyzing the future climate change of Upper Blue Nile River basin using statistical downscaling techniques." Hydrology and Earth System Sciences 22, no. 4 (2018): 2391–408. http://dx.doi.org/10.5194/hess-22-2391-2018.

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Abstract. Climate change is becoming one of the most threatening issues for the world today in terms of its global context and its response to environmental and socioeconomic drivers. However, large uncertainties between different general circulation models (GCMs) and coarse spatial resolutions make it difficult to use the outputs of GCMs directly, especially for sustainable water management at regional scale, which introduces the need for downscaling techniques using a multimodel approach. This study aims (i) to evaluate the comparative performance of two widely used statistical downscaling t

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Rotich, Stella C., and Deogratias M. M. Mulungu. "Adaptation to climate change impacts on crop water requirements in Kikafu catchment, Tanzania." Journal of Water and Climate Change 8, no. 2 (2017): 274–92. http://dx.doi.org/10.2166/wcc.2017.058.

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Agricultural activities are the main livelihood for about 70% of Tanzania's population, with women being the main players. Crops need water (crop water requirements, CWRs) for their growth and production, which can either be rain-fed or irrigation sourced. However, climate change has affected the hydrological cycle, particularly water available for agricultural crops. Since impacts and consequently adaptation are site-specific, an assessment of the effects of climate change on maize water requirements in Kikafu sub-catchment was conducted using a crop simulation model, CROPWAT. Accordingly, cl

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Saddique, Usman, and Bernhofer. "Simulating the Impact of Climate Change on the Hydrological Regimes of a Sparsely Gauged Mountainous Basin, Northern Pakistan." Water 11, no. 10 (2019): 2141. http://dx.doi.org/10.3390/w11102141.

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Projected climate changes for the 21st century may cause great uncertainties on the hydrology of a river basin. This study explored the impacts of climate change on the water balance and hydrological regime of the Jhelum River Basin using the Soil and Water Assessment Tool (SWAT). Two downscaling methods (SDSM, Statistical Downscaling Model and LARS-WG, Long Ashton Research Station Weather Generator), three Global Circulation Models (GCMs), and two representative concentration pathways (RCP4.5 and RCP8.5) for three future periods (2030s, 2050s, and 2090s) were used to assess the climate change

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Hesam Arefi, Iman, Mehri Saffari, and Rooholla Moradi. "Evaluating planting date and variety management strategies for adapting winter wheat to climate change impacts in arid regions." International Journal of Climate Change Strategies and Management 9, no. 6 (2017): 846–63. http://dx.doi.org/10.1108/ijccsm-02-2017-0030.

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Purpose The purpose of this study is to simulate the climate change impacts on winter wheat production and evaluate the possibilities of using various varieties and shifting planting date as two climate change adaptation strategies in Kerman Province, Iran. Design/methodology/approach Two types of global circulation model and three scenarios for three periods were used. Daily climatic parameters were generated by LARS-WG (Long Ashton Research Station-Weather Generator). The CERES-wheat model was used to simulate future winter wheat growth, development and production. Findings The results showe

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Qi, Wei, Chi Zhang, Guangtao Fu, Huicheng Zhou, and Junguo Liu. "Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China." Journal of Hydrometeorology 17, no. 12 (2016): 3099–112. http://dx.doi.org/10.1175/jhm-d-15-0212.1.

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Abstract This study develops a new variance-based uncertainty assessment framework to investigate the individual and combined impacts of various uncertainty sources on future extreme floods. The Long Ashton Research Station Weather Generator (LARS-WG) approach is used to downscale multiple general circulation models (GCMs), and the dynamically dimensioned search approximation of uncertainty approach is used to quantify hydrological model uncertainty. Extreme floods in a region in northeastern China are studied for two future periods: near term (2046–65) and far term (2080–99). Six GCMs and thr

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Jing, Qi, Gilles Bélanger, Budong Qian, and Vern Baron. "Timothy yield and nutritive value with a three-harvest system under the projected future climate in Canada." Canadian Journal of Plant Science 94, no. 2 (2014): 213–22. http://dx.doi.org/10.4141/cjps2013-279.

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Jing, Q., Bélanger, G., Qian, B. and Baron, V. 2014. Timothy yield and nutritive value with a three-harvest system under the projected future climate in Canada. Can. J. Plant Sci. 94: 213–222. Timothy (Phleum pratense L.) is harvested twice annually in Canada but with projected climate change, an additional harvest may be possible. Our objective was to evaluate the impact on timothy dry matter (DM) yield and key nutritive value attributes of shifting from a two- to a three-harvest system under projected future climate conditions at 10 sites across Canada. Future climate scenarios were generate

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Sayari, N., M. Bannayan, A. Alizadeh, A. Farid, M. R. Hessami Kermani, and E. Eyshi Rezaei. "Climate change impact on legumes' water production function in the northeast of Iran." Journal of Water and Climate Change 6, no. 2 (2014): 374–85. http://dx.doi.org/10.2166/wcc.2014.139.

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Enhanced understanding of the climate impact on crops' production is necessary to cope with expected climate variability and change. This study was conducted to find any robust association between crop yield and evapotranspiration using historical data (1986–2005) and subsequently employ the acquired relationship to project crop yield under future climate conditions for two agricultural centers in northeast Iran. Three legume crops of chickpea, lentil, and bean were selected in this study. The future precipitation and temperature data were projected by downscaling outputs of global climate mod

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Streck, Nereu Augusto, Isabel Lago, Cleber Maus Alberto, and Dilson Antônio Bisognin. "Simulação do desenvolvimento da batata cultivar asterix em cinco cenários de mudanças climáticas em Santa Maria, RS." Bragantia 65, no. 4 (2006): 693–702. http://dx.doi.org/10.1590/s0006-87052006000400021.

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Em estudos do impacto de mudanças climáticas sobre agroecossistemas, um aspecto importante a quantificar é o efeito do aquecimento global sobre o desenvolvimento vegetal. O objetivo desse trabalho foi simular o impacto de cenários climáticos de aumento de temperatura do ar no desenvolvimento da batata (Solanum tuberosum L.), em Santa Maria, (RS). Cenários meteorológicos de mudanças climáticas (+2 °C, +3 °C, +4 °C, +5 °C e +6 °C) para os próximos cem anos foram gerados com Weather Generator LARS-WG usando-se como base a série de dados meteorológicos observados de 1969 a 2003, em Santa Maria, RS

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Nie, Tangzhe, Zhongxue Zhang, Zhijuan Qi, Peng Chen, Zhongyi Sun, and Xingchao Liu. "Characterizing Spatiotemporal Dynamics of CH4 Fluxes from Rice Paddies of Cold Region in Heilongjiang Province under Climate Change." International Journal of Environmental Research and Public Health 16, no. 5 (2019): 692. http://dx.doi.org/10.3390/ijerph16050692.

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Paddy fields have become a major global anthropogenic CH4 emission source, and climate change affects CH4 emissions from paddy ecosystems by changing crop growth and the soil environment. It has been recognized that Heilongjiang Province has become an important source of CH4 emission due to its dramatically increased rice planting area, while less attention has been paid to characterize the effects of climate change on the spatiotemporal dynamics of CH4 fluxes. In this study, we used the calibrated and validated Long Ashton Research Station Weather Generator (LARS-WG) model and DeNitrification

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Mahat, V., and A. Anderson. "Impacts of climate and forest changes on streamflow and water balance in a mountainous headwater stream in Southern Alberta." Hydrology and Earth System Sciences Discussions 10, no. 7 (2013): 8503–36. http://dx.doi.org/10.5194/hessd-10-8503-2013.

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Abstract. Rivers in Southern Alberta are vulnerable to climate change because much of the river water originates as snow in the eastern slopes of the Rocky Mountains. Changes in likelihood of forest disturbance (wildfire, insects, logging, etc.) may also have impacts that are compounded by climate change. This study evaluates the impacts of climate and forest changes on streamflow in the upper parts of the Oldman River in Southern Alberta using a conceptual hydrological model, HBV-EC in combination with a stochastic weather generator (LARS-WG) driven by GCM (Global Climate Model) output climat

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Tabari, Hossein, Santiago Mendoza Paz, Daan Buekenhout, and Patrick Willems. "Comparison of statistical downscaling methods for climate change impact analysis on precipitation-driven drought." Hydrology and Earth System Sciences 25, no. 6 (2021): 3493–517. http://dx.doi.org/10.5194/hess-25-3493-2021.

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Abstract. General circulation models (GCMs) are the primary tools for evaluating the possible impacts of climate change; however, their results are coarse in temporal and spatial dimensions. In addition, they often show systematic biases compared to observations. Downscaling and bias correction of climate model outputs is thus required for local applications. Apart from the computationally intensive strategy of dynamical downscaling, statistical downscaling offers a relatively straightforward solution by establishing relationships between small- and large-scale variables. This study compares f

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Mahat, V., and A. Anderson. "Impacts of climate and catastrophic forest changes on streamflow and water balance in a mountainous headwater stream in Southern Alberta." Hydrology and Earth System Sciences 17, no. 12 (2013): 4941–56. http://dx.doi.org/10.5194/hess-17-4941-2013.

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Abstract. Rivers in Southern Alberta are vulnerable to climate change because much of the river water originates as snow in the eastern slopes of the Rocky Mountains. Changes in likelihood of forest disturbance (wildfire, insects, logging, etc.) may also have impacts that are compounded by climate change. This study evaluates the impacts of climate and forest changes on streamflow in the upper parts of the Oldman River in Southern Alberta using a conceptual hydrological model, HBV-EC (Hydrologiska Byråns attenbalansavdelning, Environment Canada), in combination with a stochastic weather genera

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Maharjan, M., M. S. Babel, and S. Maskey. "Reducing the basin vulnerability by land management practices under past and future climate: a case study of the Nam Ou River Basin, Lao PDR." Hydrology and Earth System Sciences Discussions 11, no. 8 (2014): 9863–905. http://dx.doi.org/10.5194/hessd-11-9863-2014.

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Abstract. This research evaluates different land management practices for the Nam Ou River Basin in Northern Laos for reducing vulnerability of the basin due to erosion and sediment yield under existing and future climate conditions. We use climate projection data (precipitation and temperature) from three general circulation models (GCMs) for three greenhouse gas emission scenarios (GHGES), namely B1, A1B and A2 and three future periods, namely 2011–2030, 2046–2065 and 2080–2099. These large resolution GCM data are downscaled using the Long Ashton Research Station-Weather Generator (LARS-WG).

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Qian, B., S. Gameda, H. Hayhoe, R. De Jong, and A. Bootsma. "Comparison of LARS-WG and AAFC-WG stochastic weather generators for diverse Canadian climates." Climate Research 26 (2004): 175–91. http://dx.doi.org/10.3354/cr026175.

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Awal, Ripendra, Ali Fares, and Haimanote Bayabil. "Assessing Potential Climate Change Impacts on Irrigation Requirements of Major Crops in the Brazos Headwaters Basin, Texas." Water 10, no. 11 (2018): 1610. http://dx.doi.org/10.3390/w10111610.

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In order for the agricultural sector to be sustainable, farming practices and management strategies need to be informed by site-specific information regarding potential climate change impacts on irrigation requirements and water budget components of different crops. Such information would allow managers and producers to select cropping systems that ensure efficient use of water resources and crop productivity. The major challenge in understanding the link between cropping systems and climate change is the uncertainty of how the climate would change in the future and lack of understanding how d

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Qian, B., H. Hayhoe, and S. Gameda. "Evaluation of the stochastic weather generators LARS-WG and AAFC-WG for climate change impact studies." Climate Research 29 (2005): 3–21. http://dx.doi.org/10.3354/cr029003.

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Qian, B., S. Gameda, and H. Hayhoe. "Performance of stochastic weather generators LARS-WG and AAFC-WG for reproducing daily extremes of diverse Canadian climates." Climate Research 37 (August 7, 2008): 17–33. http://dx.doi.org/10.3354/cr00755.

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Qian, Budong, Reinder De Jong, Sam Gameda, et al. "Impact of climate change scenarios on Canadian agroclimatic indices." Canadian Journal of Soil Science 93, no. 2 (2013): 243–59. http://dx.doi.org/10.4141/cjss2012-053.

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Qian, B., De Jong, R., Gameda, S., Huffman, T., Neilsen, D., Desjardins, R., Wang, H. and McConkey, B. 2013. Impact of climate change scenarios on Canadian agroclimatic indices. Can. J. Soil Sci. 93: 243–259. The Canadian agricultural sector is facing the impacts of climate change. Future scenarios of agroclimatic change provide information for assessing climate change impacts and developing adaptation strategies. The goal of this study was to derive and compare agroclimatic indices based on current and projected future climate scenarios and to discuss the potential implications of climate cha

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