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Journal articles on the topic 'CanESM2'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Christian, James R., Kenneth L. Denman, Hakase Hayashida, et al. "Ocean biogeochemistry in the Canadian Earth System Model version 5.0.3: CanESM5 and CanESM5-CanOE." Geoscientific Model Development 15, no. 11 (2022): 4393–424. http://dx.doi.org/10.5194/gmd-15-4393-2022.

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Abstract. The ocean biogeochemistry components of two new versions of the Canadian Earth System Model (CanESM) are presented and compared to observations and other models. CanESM5 employs the same ocean biology model as CanESM2, whereas CanESM5-CanOE (Canadian Ocean Ecosystem model) is a new, more complex model developed for CMIP6, with multiple food chains, flexible phytoplankton elemental ratios, and a prognostic iron cycle. This new model is described in detail and the outputs (distributions of major tracers such as oxygen, dissolved inorganic carbon, and alkalinity, the iron and nitrogen c

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2

Boudala, Faisal S., Jason A. Milbrandt, and George A. Isaac. "Evaluation of CanESM Cloudiness, Cloud Type and Cloud Radiative Forcing Climatologies Using the CALIPSO-GOCCP and CERES Datasets." Remote Sensing 14, no. 15 (2022): 3668. http://dx.doi.org/10.3390/rs14153668.

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In this study, the annual and seasonal climatology of cloud fraction (CF) and cloud type simulated by the Canadian Environmental System Models (CanESMs) version 5 (CanESM5) and version 2 (CanESM2) at their fully coupled and AMIP configurations were validated against the CALIPSO-GOCCP-based CF. The CFs produced using the CALIPSO-COSP simulator based on the CanESMs data at their atmospheric (AMIP) configuration are also evaluated. The simulated shortwave, longwave, and net cloud radiative forcing using the AMIP version of the CanESM5 were also validated against satellite observations based on th

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Ebtehaj, Isa, Josée Fortin, Hossein Bonakdari, and Guillaume Grégoire. "How Climate Change Will Shape Pesticide Application in Quebec’s Golf Courses: Insights with Deep Learning Based on Assessing CMIP5 and CMIP6." Applied Sciences 14, no. 20 (2024): 9209. http://dx.doi.org/10.3390/app14209209.

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The accelerating impact of climate change on golf course conditions has led to a significant increase in pesticide dependency, underscoring the importance of innovative management strategies. The shift from Coupled Model Intercomparison Project Phase 5 (CMIP5) to the latest CMIP6 phase has drawn the attention of professionals, including engineers, decision makers, and golf course managers. This study evaluates how climate projections from CMIP6, using Canadian Earth System Models (CanESM2 and CanESM5), impact pesticide application trends on Quebec’s golf courses. Through the comparison of temp

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Rana, Md Masud, Sajal Kumar Adhikary, Takayuki Suzuki, and Martin Mäll. "Multiple GCM-Based Climate Change Projections Across Northwest Region of Bangladesh Using Statistical Downscaling Model." Climate 13, no. 3 (2025): 62. https://doi.org/10.3390/cli13030062.

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Bangladesh, one of the most vulnerable countries to climate change, has been experiencing significant climate change-induced risks. Particularly, the northwest region of the country has been severely affected by climate extremes, including droughts and heat waves. Therefore, proper understanding and assessment of future climate change scenarios is crucial for the adaptive management of water resources. The current study used the statistical downscaling model (SDSM) to downscale and analyze climate change-induced future changes in temperature and precipitation based on multiple global climate m

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Virgin, John G., Christopher G. Fletcher, Jason N. S. Cole, Knut von Salzen, and Toni Mitovski. "Cloud Feedbacks from CanESM2 to CanESM5.0 and their influence on climate sensitivity." Geoscientific Model Development 14, no. 9 (2021): 5355–72. http://dx.doi.org/10.5194/gmd-14-5355-2021.

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Abstract. The newest iteration of the Canadian Earth System Model (CanESM5.0.3) has an effective climate sensitivity (EffCS) of 5.65 K, which is a 54 % increase relative to the model's previous version (CanESM2 – 3.67 K), and the highest sensitivity of all current models participating in the sixth phase of the coupled model inter-comparison project (CMIP6). Here, we explore the underlying causes behind CanESM5's increased EffCS via comparison of forcing and feedbacks between CanESM2 and CanESM5. We find only modest differences in radiative forcing as a response to CO2 between model versions. W

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Jeong, Dae Il, Bin Yu, and Alex J. Cannon. "Links between atmospheric blocking and North American winter cold spells in two generations of Canadian Earth System Model large ensembles." Climate Dynamics 57, no. 7-8 (2021): 2217–31. http://dx.doi.org/10.1007/s00382-021-05801-0.

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AbstractDue to the significant negative consequences of winter cold extremes, there is need to better understand and simulate the mechanisms driving their occurrence. The impact of atmospheric blocking on winter cold spells over North America is investigated using ERA-Interim and NCEP-DOE-R2 reanalyses for 1981–2010. Initial-condition large-ensembles of two generations of Canadian Earth System Models (CanESM5 and its predecessor, CanESM2) are evaluated in terms of their ability to represent the blocking-cold spell linkage and the associated internal-variability. The reanalysis datasets show th

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Ankit, Balvanshi, Tiwari H.L., Gupta Mayank, and Sharma Akhilesh. "Statistical Downscaling of Maximum Temperature in Hoshangabad District of India." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 3 (2020): 493–96. https://doi.org/10.35940/ijrte.C4484.099320.

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The Global Climate ModelsCanESM2 and CGCM3 were utilised to downscale the maximum temperature for Hoshangabad district of Madhya Pradesh, India. The area of study comprises to be of 6704 km2 . The predictors employed for CanESM2 were ncepmslpgl, ncepp500gl, ncepp850gl and ncepmslpas, ncepp500gl, ncepp850gl were the predictors fixed for CGCM3. The total duration of the study was from the years 1979 – 2001. The two GCMs, CGCM3 and CanESM2 were checked for their capability in downscaling the maximum temperature climatic parameter. The GCM outputs were evaluated on Nash Sutcliffe Efficiency

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8

Swart, Neil C., Jason N. S. Cole, Viatcheslav V. Kharin, et al. "The Canadian Earth System Model version 5 (CanESM5.0.3)." Geoscientific Model Development 12, no. 11 (2019): 4823–73. http://dx.doi.org/10.5194/gmd-12-4823-2019.

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Abstract. The Canadian Earth System Model version 5 (CanESM5) is a global model developed to simulate historical climate change and variability, to make centennial-scale projections of future climate, and to produce initialized seasonal and decadal predictions. This paper describes the model components and their coupling, as well as various aspects of model development, including tuning, optimization, and a reproducibility strategy. We also document the stability of the model using a long control simulation, quantify the model's ability to reproduce large-scale features of the historical clima

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Kushner, Paul J., Lawrence R. Mudryk, William Merryfield, et al. "Canadian snow and sea ice: assessment of snow, sea ice, and related climate processes in Canada's Earth system model and climate-prediction system." Cryosphere 12, no. 4 (2018): 1137–56. http://dx.doi.org/10.5194/tc-12-1137-2018.

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Abstract. The Canadian Sea Ice and Snow Evolution (CanSISE) Network is a climate research network focused on developing and applying state-of-the-art observational data to advance dynamical prediction, projections, and understanding of seasonal snow cover and sea ice in Canada and the circumpolar Arctic. This study presents an assessment from the CanSISE Network of the ability of the second-generation Canadian Earth System Model (CanESM2) and the Canadian Seasonal to Interannual Prediction System (CanSIPS) to simulate and predict snow and sea ice from seasonal to multi-decadal timescales, with

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de Souza Costa, Carlos Eduardo Aguiar, Claudio José Cavalcante Blanco, and José Francisco de Oliveira-Júnior. "IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil." Journal of Water and Climate Change 11, no. 3 (2019): 760–70. http://dx.doi.org/10.2166/wcc.2019.202.

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Abstract Changes in the global climate are attributed to the levels of greenhouse gases. Thus, future scenarios (Representative Concentration Pathways – RCPs) have been developed to explore the impact of different climate policies on the world. The RCPs are essential tools for General Circulation Models (GCMs) to simulate future climate changes. Curves that associate Intensity, Duration and Frequency (IDF) are used in forecasts and are fundamental for the design of hydraulic projects and risk management. The objective of this study was to design IDF curves for the RCP 4.5 and 8.5, using data f

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Böhnisch, Andrea, Ralf Ludwig, and Martin Leduc. "Using a nested single-model large ensemble to assess the internal variability of the North Atlantic Oscillation and its climatic implications for central Europe." Earth System Dynamics 11, no. 3 (2020): 617–40. http://dx.doi.org/10.5194/esd-11-617-2020.

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Abstract. Central European weather and climate are closely related to atmospheric mass advection triggered by the North Atlantic Oscillation (NAO), which is a relevant index for quantifying internal climate variability on multi-annual timescales. It remains unclear, however, how large-scale circulation variability affects local climate characteristics when downscaled using a regional climate model. In this study, 50 members of a single-model initial-condition large ensemble (LE) of a nested regional climate model are analyzed for a NAO–climate relationship. The overall goal of the study is to

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Scinocca, J. F., V. V. Kharin, Y. Jiao, et al. "Coordinated Global and Regional Climate Modeling*." Journal of Climate 29, no. 1 (2015): 17–35. http://dx.doi.org/10.1175/jcli-d-15-0161.1.

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Abstract A new approach of coordinated global and regional climate modeling is presented. It is applied to the Canadian Centre for Climate Modelling and Analysis Regional Climate Model (CanRCM4) and its parent global climate model CanESM2. CanRCM4 was developed specifically to downscale climate predictions and climate projections made by its parent global model. The close association of a regional climate model (RCM) with a parent global climate model (GCM) offers novel avenues of model development and application that are not typically available to independent regional climate modeling center

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13

Yang, Duo, and Oleg A. Saenko. "Ocean Heat Transport and Its Projected Change in CanESM2." Journal of Climate 25, no. 23 (2012): 8148–63. http://dx.doi.org/10.1175/jcli-d-11-00715.1.

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Abstract The meridional ocean heat transport (MOHT), its seasonal variability, and projected changes simulated by the second generation Canadian Earth System Model (CanESM2) are presented. The global mean MOHT is within the uncertainty of the observational estimates. However, a correct simulation of the MOHT for individual ocean basins is more challenging, and the Atlantic MOHT south of 30°N is underestimated. The partitioning of the MOHT into the overturning and gyre components is generally consistent with such partitioning in an observationally optimized ocean model. At low latitudes, the ti

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Tan, Yaheng, Francis Zwiers, Song Yang, Chao Li, and Kaiqiang Deng. "The Role of Circulation and Its Changes in Present and Future Atmospheric Rivers over Western North America." Journal of Climate 33, no. 4 (2020): 1261–81. http://dx.doi.org/10.1175/jcli-d-19-0134.1.

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AbstractPerformance in simulating atmospheric rivers (ARs) over western North America based on AR frequency and landfall latitude is evaluated for 10 models from phase 5 of the Coupled Model Intercomparison Project among which the CanESM2 model performs well. ARs are classified into southern, northern, and middle types using self-organizing maps in the ERA-Interim reanalysis and CanESM2. The southern type is associated with the development and eastward movement of anomalous lower pressure over the subtropical eastern Pacific, while the northern type is linked with the eastward movement of anom

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Huang, Xin, Tianjun Zhou, Aiguo Dai, et al. "South Asian summer monsoon projections constrained by the interdecadal Pacific oscillation." Science Advances 6, no. 11 (2020): eaay6546. http://dx.doi.org/10.1126/sciadv.aay6546.

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A reliable projection of future South Asian summer monsoon (SASM) benefits a large population in Asia. Using a 100-member ensemble of simulations by the Max Planck Institute Earth System Model (MPI-ESM) and a 50-member ensemble of simulations by the Canadian Earth System Model (CanESM2), we find that internal variability can overshadow the forced SASM rainfall trend, leading to large projection uncertainties for the next 15 to 30 years. We further identify that the Interdecadal Pacific Oscillation (IPO) is, in part, responsible for the uncertainties. Removing the IPO-related rainfall variation

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Carvalho, Vinícius Siqueira Oliveira, Lívia Alves Alvarenga, Conceição De Maria Marques de Oliveira, Javier Tomasella, Alberto Colombo, and Pâmela Aparecida Melo. "Impact of climate change on monthly streamflow in the Verde River Basin using two hydrological models." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 16, no. 4 (2021): 1. http://dx.doi.org/10.4136/ambi-agua.2683.

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This study assessed the impact of climate change on monthly streamflow in the Verde River Basin, located in the Grande River Basin headwater. For this purpose, the SWAT and VIC hydrological models were used to simulate the monthly streamflow under RCP4.5 and RCP8.5 scenarios, obtained by Regional Climate Models Eta-HadGEM2-ES, Eta-CanESM2 and Eta-MIROC5 in the baseline period (1961-2005) and three time-slice (2011-2040, 2041-2070, and 2071-2099) inputs. At the end of the century, the Eta-HadGEM2-ES showed larger decrease of precipitation in both radiative scenarios, with an annual reduction of

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17

Leduc, Martin, Alain Mailhot, Anne Frigon, et al. "The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5)." Journal of Applied Meteorology and Climatology 58, no. 4 (2019): 663–93. http://dx.doi.org/10.1175/jamc-d-18-0021.1.

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AbstractThe Canadian Regional Climate Model (CRCM5) Large Ensemble (CRCM5-LE) consists of a dynamically downscaled version of the CanESM2 50-member initial-conditions ensemble (CanESM2-LE). The downscaling was performed at 12-km resolution over two domains, Europe (EU) and northeastern North America (NNA), and the simulations extend from 1950 to 2099, following the RCP8.5 scenario. In terms of validation, warm biases are found over the EU and NNA domains during summer, whereas during winter cold and warm biases appear over EU and NNA, respectively. For precipitation, simulations are generally

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Bayissa, Yared, Assefa Melesse, Mahadev Bhat, Tsegaye Tadesse, and Andualem Shiferaw. "Evaluation of Regional Climate Models (RCMs) Using Precipitation and Temperature-Based Climatic Indices: A Case Study of Florida, USA." Water 13, no. 17 (2021): 2411. http://dx.doi.org/10.3390/w13172411.

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The overarching objective of this study was to evaluate the performance of nine precipitation-based and twelve temperature-based climatic indices derived from four regional climate models (CRCM5-UQUAM, CanRCM4, RCA4 and HIRHAM5) driven by three global circulation models (CanESM2, EC-EARTH and MPI-ESM-LR) and their ensemble mean for the reference period of 31 years (1975–2005). The absolute biases, pattern correlation, the reduction of variance (RV) and the Standardized Precipitation Evapotranspiration Index (SPEI at 3-, 6- and 12-month aggregate periods) techniques were used to evaluate the cl

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SERUR, ABDULKERIM BEDEWI. "TRENDS AND VARIABILITIES IN ANNUAL PRECIPITATION AND TEMPERATURE DURING 2006–2100 IN THE WEYB RIVER BASIN, ETHIOPIA." International Journal of Big Data Mining for Global Warming 01, no. 01 (2019): 1950004. http://dx.doi.org/10.1142/s2630534819500049.

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This study investigates on variabilities in annual precipitation, maximum temperature, and minimum temperature within the Weyb River basin during 2006–2100 under representative concentration pathway (RCP) 2.6/4.5/8.5 scenarios based on predictions of three Earth System Models (GFDL-ESM2M, CanESM2, and GFDL-ESM2G). Our results showed that precipitation, maximum temperature, and minimum temperature would rise in the near term (2011–2040), the medium term (2041–2070), and the long term (2071–2100) as compared to the baseline scenario (1981–2005). The larger increments are predicted by GFDL-ESM2M

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Hosseini, Reza Haji, Saeed Golian, and Jafar Yazdi. "Evaluation of data-driven models to downscale rainfall parameters from global climate models outputs: the case study of Latyan watershed." Journal of Water and Climate Change 11, no. 1 (2018): 200–216. http://dx.doi.org/10.2166/wcc.2018.191.

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Abstract Assessment of climate change in future periods is considered necessary, especially with regard to probable changes to water resources. One of the methods for estimating climate change is the use of the simulation outputs of general circulation models (GCMs). However, due to the low resolution of these models, they are not applicable to regional and local studies and downscaling methods should be applied. The purpose of the present study was to use GCM models' outputs for downscaling precipitation measurements at Amameh station in Latyan dam basin. For this purpose, the observation dat

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Rana, Md Masud, and Sajal Kumar Adhikary. "Impact of Climate Change on Precipitation and Temperature Changes in the Northwest Region of Bangladesh Using SDSM: A Comparison of CanESM2 and HadCM3 Models." Journal of Engineering Science 14, no. 2 (2024): 127–36. http://dx.doi.org/10.3329/jes.v14i2.71236.

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Assessment of climate change-induced precipitation and temperature changes is crucial for the adaptive and sustainable management of water resources in a country. The objective of this study is to explore the impact of climate change on future precipitation and temperature changes in the northwest region of Bangladesh using the statistical downscaling model (SDSM). In this study, Rajshahi station is taken as the case study area, and two widely applied general circulation models (GCMs), namely the Canadian Earth System Model (CanESM2) and the Hadley Center Coupled Model (HadCM3), are used for t

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Barokar, Yogesh, and Vijaya Pradhan. "Assessing Future Climate Trends: Downscaling Maximum Temperature for Water and Agricultural Management." Current Agriculture Research Journal 13, no. 1 (2025): 172–80. https://doi.org/10.12944/carj.13.1.18.

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Climate change represents a serious challenge to agricultural systems around the world, as increasing temperatures and changing rainfall patterns impact crop yields, water supply, and ecosystems. Accurate forecasts of future daily maximum temperatures (Tmax) are vital for evaluating how vulnerable agricultural systems are to climate change. Rising Tmax can result in heat stress for crops, heightened water use in crops, diminished yields, and alterations in crop developmental timelines. Grasping the projected Tmax is crucial for recognizing potential threats to crop production, maintaining food

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Heryani, Nani, Budi Kartiwa, Hendri Sosiawan, et al. "Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia." Sustainability 14, no. 23 (2022): 16236. http://dx.doi.org/10.3390/su142316236.

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Climate change has been affecting agricultural water resources dynamics spatially and temporally. This article presents analysis results of climate change impact on agricultural water availability in Cimanuk Watershed, Indonesia. STREAM was utilized to model agricultural water availability through FAO MOSAICC web application. Climate spatial data time-series were generated using 3 Global Climate Model (GCM), i.e.,: CanESM2, CNRM-CM5, and MPI-ESM-MR following two climate change scenarios of RCP4.5 and 8.5. Model inputs were split into three periods of 1981–2010 (historical), 2010–2039 (near-fut

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Tang, Zhenfei, Ting Yang, Xin Lin, Xinxin Li, Rong Cao, and Wei Li. "Future changes in the risk of compound hot and dry events over China estimated with two large ensembles." PLOS ONE 17, no. 3 (2022): e0264980. http://dx.doi.org/10.1371/journal.pone.0264980.

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Under the context of global warming, compound dry and hot events (CDHEs) will increase and bring serious losses to society and the economy. The projection of CDHEs is of great significance for policy-making and risk assessment. In this paper, two large ensemble simulations, CanESM2-LE and CESM-LE, are used to estimate the risk of extreme CDHEs under different warming scenarios in China. First, the biases of the model in the simulation of the temperature and precipitation over the China region are corrected, and the index of CDHEs is established based on a copula function. The results show that

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Bedri, Rama, and Thomas Piechota. "Future Colorado River Basin Drought and Surplus." Hydrology 9, no. 12 (2022): 227. http://dx.doi.org/10.3390/hydrology9120227.

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Historical and future drought and surplus periods in the Colorado River basin are evaluated based on eight climate scenarios. Unimpaired streamflow from 17 stations in the Colorado River are evaluated based on U.S. Geological Survey, Bureau of Reclamation, and Coupled Modeled Intercomparison Projection 5 downscaled data from 1950–2099. Representative Concentration Pathway (RCP) 4.5 and 8.5 emission scenarios are considered for four climate models (HadGEM2-ES, CNRM-CM5, CanESM2, MI-ROC5). Drought (surplus) quantities, magnitudes, severities, and water year flows are compared for the historical

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Attogouinon, André, Agnidé E. Lawin, and Jean-François Deliège. "Evaluation of General Circulation Models over the Upper Ouémé River Basin in the Republic of Benin." Hydrology 7, no. 1 (2020): 11. http://dx.doi.org/10.3390/hydrology7010011.

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This study assessed the performance of eight general circulation models (GCMs) implemented in the upper Ouémé River basin in Benin Republic (West Africa) during the Fifth Assessment Report on Climate Change. Historical rainfall simulations of the climate model of Rossby Regional Centre (RCA4) driven by eight Coupled Model Intercomparison Project (CMIP5) GCMs over a 55-year period (1951 to 2005) are evaluated using the observational data set. Apart from daily rainfall, other rainfall parameters calculated from observed and simulated rainfall were compared. U-test and other statistical criteria

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Cardoso, Iulli Pitone, Tirzah Moreira Siqueira, Luis Carlos Timm, Aryane Araujo Rodrigues, and André Becker Nunes. "Analysis of average annual temperatures and rainfall in southern region of the state of Rio Grande do Sul, Brazil." Revista Brasileira de Ciências Ambientais 57, no. 1 (2022): 58–71. http://dx.doi.org/10.5327/z2176-94781204.

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This work aimed to analyze the average temperature and rainfall in the Southern and Steppe regions of the State of Rio Grande do Sul, Brazil, obtained by three global climate models regionalized by the Eta model (CANESM2, HADGEM2-ES and MIROC5) for the historical period, and two future climate scenarios (RCP 4.5 and RCP 8.5), subdivided into three periods: F1 (2006-2040), F2 (2041-2070), and F3 (2071-2099). The analysis was conducted by applying the trend tests Mann Kendall’s, Sen’s Slope and Pettitt’s to the dataset. The study noted an increase in temperature, and that the highest temperature

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Chylek, P., J. Li, M. K. Dubey, M. Wang, and G. Lesins. "Observed and model simulated 20th century Arctic temperature variability: Canadian Earth System Model CanESM2." Atmospheric Chemistry and Physics Discussions 11, no. 8 (2011): 22893–907. http://dx.doi.org/10.5194/acpd-11-22893-2011.

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Abstract. We present simulations of the 20th century Arctic temperature anomaly from the second generation Canadian Earth System Model (CanESM2). The new model couples together an atmosphere-ocean general circulation model, a land-vegetation model and terrestrial and oceanic interactive carbon cycle. It simulates well the observed 20th century Arctic temperature variability that includes the early and late 20th century warming periods and the intervening 1940–1970 period of substantial cooling. The addition of the land-vegetation model and the terrestrial and oceanic interactive carbon cycle t

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Arora, V. K., and G. J. Boer. "Terrestrial ecosystems response to future changes in climate and atmospheric CO<sub>2</sub> concentration." Biogeosciences 11, no. 15 (2014): 4157–71. http://dx.doi.org/10.5194/bg-11-4157-2014.

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Abstract. The response of the terrestrial carbon cycle to future changes in climate and atmospheric CO2 is assessed by analysing simulation results for the 2006–2100 period made with the second generation Canadian Earth system model (CanESM2) for the RCP 2.6, RCP 4.5 and RCP 8.5 climate change scenarios. Our interest is in the extent to which global terrestrial carbon pools and sinks, in particular those of the Amazonian region, are vulnerable to the adverse effects of climate change. CanESM2 results indicate that land remains an overall sink of atmospheric carbon for the 2006–2100 period. The

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Carvalho, Vinícius Siqueira Oliveira, Lívia Alves Alvarenga, Pâmela Aparecida Melo, Javier Tomasella, Carlos Rogério de Mello, and Minella Alves Martins. "Climate change impact assessment in a tropical headwater basin." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 17, no. 1 (2022): 1–19. http://dx.doi.org/10.4136/ambi-agua.2753.

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Changes in precipitation and air temperature may produce different impacts on the hydrological regime, compromising water supply. This study focuses on climate change impacts in the Verde River Basin (VRB), a tropical headwater basin in southeast Brazil, located in the state of Minas Gerais. The Variable Infiltration Capacity model (VIC) was calibrated and validated in the Verde River Basin. The downscaling (Eta Regional Climate Model, at 20-km resolution) of three Global Circulation Models (CanESM2, HadGEM2-ES and MIROC5) were used to drive the VIC for a historical baseline (1961-2005) and th

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Arora, V. K., and G. J. Boer. "Terrestrial ecosystems response to future changes in climate and atmospheric CO<sub>2</sub> concentration." Biogeosciences Discussions 11, no. 3 (2014): 3581–614. http://dx.doi.org/10.5194/bgd-11-3581-2014.

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Abstract. The response of the terrestrial carbon cycle to future changes in climate and atmospheric CO2 is assessed by analyzing simulations, for the 2006–2100 period, made with the second generation Canadian Earth system model (CanESM2) for the RCP 2.6, RCP 4.5 and RCP 8.5 climate change scenarios. Our interest is in the extent to which global terrestrial carbon pools and sinks, in particular those of the Amazonian region, are vulnerable to the adverse effects of climate change. CanESM2 results indicate that land remains an overall sink of atmospheric carbon for the 2006–2100 period. The net

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Rodrigues, Gláuber Pontes, Arlena Brosinsky, Ítalo Sampaio Rodrigues, George Leite Mamede, and José Carlos de Araújo. "Impact of reservoir evaporation on future water availability in north-eastern Brazil: a multi-scenario assessment." Hydrology and Earth System Sciences 28, no. 14 (2024): 3243–60. http://dx.doi.org/10.5194/hess-28-3243-2024.

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Abstract. The potential effects of climatic changes on water resources are crucial to be assessed, particularly in dry regions such as north-east Brazil (1 million km2), where water supply is highly reliant on open-water reservoirs. This study analyses the impact of evaporation (by the Penman method) on water availability for four scenarios based on two regional climatic models (Eta-CanESM2 and Eta-MIROC5) using the Representative Concentration Pathways (RCPs) 4.5 and 8.5. We compared the water availability in the period of 2071–2100 with that of the historical period (1961–2005). The scenario

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Martel, Jean-Luc, Alain Mailhot, and François Brissette. "Global and Regional Projected Changes in 100-yr Subdaily, Daily, and Multiday Precipitation Extremes Estimated from Three Large Ensembles of Climate Simulations." Journal of Climate 33, no. 3 (2020): 1089–103. http://dx.doi.org/10.1175/jcli-d-18-0764.1.

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AbstractMany studies have reported projected increases in the frequency and intensity of extreme precipitation events in a warmer future climate. These results challenge the assumption of climate stationarity, a standard hypothesis in the estimation of extreme precipitation quantiles (e.g., 100-yr return period) often used as key design criteria for many infrastructures. In this work, changes in hourly to 5-day precipitation extremes occurring between the 1980–99 and 2080–99 periods are investigated using three large ensembles (LE) of climate simulations. The first two are the global CanESM2 5

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Guven, Aytac, Abdulhadi Pala, and Mohamad Sheikhvaisi. "Investigation of impact of climate change on small catchments using different climate models and statistical approaches." Water Supply 22, no. 3 (2021): 3540–52. http://dx.doi.org/10.2166/ws.2021.383.

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Abstract The use of a statistical downscaling technique is needed to investigate the hydrological consequences of climate change on the local hydropower capacity. Global Circulation Models (GCMs) are crucial tools used in various simulations for potential climate change effects, including precipitation and temperature. Statistical downscaling methods comprise the improvement of relations between the large-scale climatic parameters and the local variables. This study presents the trend analysis of the observed variables compared to the statistically downscaled emission scenarios that are adopte

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Boysen, L. R., V. Brovkin, V. K. Arora, et al. "Global and regional effects of land-use change on climate in 21st century simulations with interactive carbon cycle." Earth System Dynamics 5, no. 2 (2014): 309–19. http://dx.doi.org/10.5194/esd-5-309-2014.

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Abstract. Biogeophysical (BGP) and biogeochemical (BGC) effects of land-use and land cover change (LULCC) are separated at the global and regional scales in new interactive CO2 simulations for the 21st century. Results from four earth system models (ESMs) are analyzed for the future RCP8.5 scenario from simulations with and without land-use and land cover change (LULCC), contributing to the Land-Use and Climate, IDentification of robust impacts (LUCID) project. Over the period 2006–2100, LULCC causes the atmospheric CO2 concentration to increase by 12, 22, and 66 ppm in CanESM2, MIROC-ESM, and

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Boysen, L. R., V. Brovkin, V. K. Arora, et al. "Global and regional effects of land-use change on climate in 21st century simulations with interactive carbon cycle." Earth System Dynamics Discussions 5, no. 1 (2014): 443–72. http://dx.doi.org/10.5194/esdd-5-443-2014.

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Abstract. Biogeophysical (BGP) and biogeochemical (BGC) effects of land-use and land cover change (LULCC) are separated at the global and regional scales in new interactive CO2 simulations for the 21st century. Results from four Earth System models (ESMs) are analyzed for the future RCP8.5 scenario from simulations with and without land-use and land cover change (LULCC) contributing to the Land-Use and Climate, IDentification of robust impacts (LUCID) project. Over the period, 2006–2100, LULCC causes the atmospheric CO2 concentration to increase by 12, 22, and 66 ppm in CanESM2, MIROC-ESM, and

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Mohammed, Doaa R., and Ruqayah K. Mohammed. "Climate Change’s Impacts on Drought in Upper Zab Basin, Iraq: A Case Study." Tikrit Journal of Engineering Sciences 31, no. 1 (2024): 161–71. http://dx.doi.org/10.25130/tjes.31.1.14.

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Iraq has a semiarid and desert climate. Also, it is predicted to be more susceptible to global warming effects. In the present study, daily climatic data from the past and projected future of the Upper Zab Basin, located in northern Iraq and considered an example of arid and semiarid climate conditions, were simulated using LARS-WG 6.0, i.e., a stochastic weather generator. The model also estimated daily rainfall and temperature. Using the RCP4.5 and RCP8.5 main emission scenarios, the future climate throughout the current century was estimated utilizing the MIROC5, CanESM2, HadGEM2-ES, ESM1-M

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Hua, Wenjian, Haishan Chen, Shanlei Sun, and Liming Zhou. "Assessing climatic impacts of future land use and land cover change projected with the CanESM2 model." International Journal of Climatology 35, no. 12 (2014): 3661–75. http://dx.doi.org/10.1002/joc.4240.

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Armain, M. Z. S., Z. Hassan, and S. Harun. "Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network." IOP Conference Series: Earth and Environmental Science 646, no. 1 (2021): 012033. http://dx.doi.org/10.1088/1755-1315/646/1/012033.

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Hashim, Forqan S., and Waqed H. Hassan. "Studying the impact of climate change on the average temperature using CanESM2 and HadCM3 modelling in Iraq." International Journal of Global Warming 24, no. 2 (2021): 131. http://dx.doi.org/10.1504/ijgw.2021.10039055.

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Hassan, Waqed H., and Forqan S. Hashim. "Studying the impact of climate change on the average temperature using CanESM2 and HadCM3 modelling in Iraq." International Journal of Global Warming 24, no. 2 (2021): 131. http://dx.doi.org/10.1504/ijgw.2021.115898.

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Barreto, Naurinete De Jesus da Costa, David Mendes, and Paulo Sérgio Lucio. "Sensitivity of the CMIP5 models to precipitation in Tropical Brazil." Revista Ibero-Americana de Ciências Ambientais 12, no. 1 (2020): 180–91. http://dx.doi.org/10.6008/cbpc2179-6858.2021.001.0015.

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The main objective of this study is to evaluate the ability of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) models to simulate weekly rainfall over Tropical Brazil. Twenty-four years of the historical experiment of sixteen models for the austral summer and fall seasons were evaluated. In the analyzes performed in this study, frequency distribution and correlation were used to evaluate temporal variability. Principal Component Analysis to ascertain the characteristics of the dominant pattern of each model. The results suggest that some models have difficulty in simulatin

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Adelodun, Bashir, Mirza Junaid Ahmad, Golden Odey, Qudus Adeyi, and Kyung Sook Choi. "Performance-Based Evaluation of CMIP5 and CMIP6 Global Climate Models and Their Multi-Model Ensembles to Simulate and Project Seasonal and Annual Climate Variables in the Chungcheong Region of South Korea." Atmosphere 14, no. 10 (2023): 1569. http://dx.doi.org/10.3390/atmos14101569.

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Extreme climate change events are major causes of devastating impacts on socioeconomic well-being and ecosystem damage. Therefore, understanding the performance of appropriate climate models representing local climate characteristics is critical for future projections. Thus, this study analyses the performance of 24 GCMs from the Coupled Model Intercomparison Project Phases 5 and 6 (CMIP5 and 6) and their multi-model ensembles in simulating climate variables including average rainfall, maximum (Tmax), and minimum (Tmin) temperatures at annual and seasonal scales over the Chungcheong region of

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Koukouli, Panagiota G., Pantazis E. Georgiou, and Dimitrios K. Karpouzos. "Assessing the Hydrological Effect of Climate Change on Water Balance of a River Basin in Northern Greece." International Journal of Agricultural and Environmental Information Systems 9, no. 4 (2018): 14–33. http://dx.doi.org/10.4018/ijaeis.2018100102.

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In this work, the impacts of climate change on the water resources of the Olynthios River Basin in Northern Greece, were assessed. For this purpose, the climate change scenarios SRES and RCPs were used (SRES A1B, Α2 and RCP4.5, 8.5) - which were taken from two climate models, CGCM3.1/T63 and CanESM2, respectively - for two time periods (2031-2050 and 2081-2100) and for the baseline period (1981-2000). The downscaling was performed using the weather generator ClimGen. The monthly water balance of the Olynthios River Basin was estimated with the use of a conceptual water balance model. Results s

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Ng, Pei Yee, Kok Weng Tan, and Satoru Oishi. "Development of regional climate model for Hyogo prefecture, Japan using statistical downscaling method on CanESM2 RCP2.6, 4.5 and 8.5 scenarios." E3S Web of Conferences 347 (2022): 05015. http://dx.doi.org/10.1051/e3sconf/202234705015.

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For decades, climate models have been used to understand the present and historical climates, especially global climate models (GCMs). They are used to understand the interaction between climate system processes and forecast future climates. However, the issue of low resolution and accuracy often lead to inadequacy in capturing the variations in climate variables related to impact assessment. In order to capture the local climate changes in Hyogo Prefecture, a regional climate modelling based on Second Generation Canadian Earth System Model (CanESM2) was applied using the statistical downscali

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BALVANSHI, A., and H. L. TIWARI. "QUANTITATIVE ESTIMATION OF THE IMPACT OF CLIMATE CHANGE ON CROP EVAPOTRANSPIRATION AND YIELD IN THE CENTRAL REGION OF INDIA." Meteorologiya i Gidrologiya, no. 10 (2021): 83–89. http://dx.doi.org/10.52002/0130-2906-2021-10-83-89.

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The present work focuses on estimation of future evapotranspiration of paddy, maize, soybean and assessment of yields of these crops under RCP scenarios 2.6, 4.5, and 8.5 for years 1997-2099 using FAO Cropwat and AquaCrop yield simulating models for the Sehore district, in central state of India. Statistically downscaled General Circulation Model CanESM2 data were used as input to Cropwat and AquaCrop tools for generation of future crop evapotranspiration and crop yield data. The AquaCrop yield model was first checked for its suitability and accuracy in prediction of yield for years 1997-2010.

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Romadhoni, Ahmad Zaki, Dyah Ari Wulandari, and Suharyanto Suharyanto. "Dampak Perubahan Iklim Terhadap Indeks Erosivitas Hujan Pada Daerah Tangkapan Air Waduk Saguling." Jurnal Rekayasa Sipil dan Lingkungan 5, no. 2 (2022): 107. http://dx.doi.org/10.19184/jrsl.v5i2.25244.

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Climate change is a global phenomenon that become a concern. Climate change affects the hydrological conditions of a watershed, including rainfall. Saguling Reservoir has a high erosion rate on the watershed. One factor that affects erosion based on USLE is the rain erosivity index which has a relation with rainfall amount. So the climate change effect of rainfall on erosivity factor in Saguling Reservoir watershed needs to be investigated because it will affect the erosion rate which is useful to determine the sedimentation rate of the reservoir. The purpose of this study was to analyze the e

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Mohamadi, Sedigheh, Sadegh Ghazanfari, and Alijan Abkar. "Prediction of Rainfall under HadCM3 and CanESM2 Climate Change Models using Statistical Downscaling Model (Case Study: Tabriz Synoptic Station)." journal of watershed management research 11, no. 22 (2020): 220–32. http://dx.doi.org/10.52547/jwmr.11.22.220.

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Weber, Theodore, Austin Corotan, Brian Hutchinson, Ben Kravitz, and Robert Link. "Technical note: Deep learning for creating surrogate models of precipitation in Earth system models." Atmospheric Chemistry and Physics 20, no. 4 (2020): 2303–17. http://dx.doi.org/10.5194/acp-20-2303-2020.

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Abstract. We investigate techniques for using deep neural networks to produce surrogate models for short-term climate forecasts. A convolutional neural network is trained on 97 years of monthly precipitation output from the 1pctCO2 run (the CO2 concentration increases by 1 % per year) simulated by the second-generation Canadian Earth System Model (CanESM2). The neural network clearly outperforms a persistence forecast and does not show substantially degraded performance even when the forecast length is extended to 120 months. The model is prone to underpredicting precipitation in areas charact

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Ankit Balvanshi and H. L. Tiwari. "Mitigating future climate change effects on wheat and soybean yields in Central region of Madhya Pradesh by shifting sowing dates." Journal of Agrometeorology 21, no. 4 (2021): 468–73. http://dx.doi.org/10.54386/jam.v21i4.282.

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 The present work focuses on (1) estimation of future yield of wheat and soybean crop under RCPs scenario 2.6, 4.5 and 8.5 for years 2020, 2050 and 2080 using FAO AquaCrop yield simulating model and (2) assessment of shifting planting date as adaptation measure to mitigate climate change impact for Sehore district, Madhya Pradesh. Statistically downscaled General Circulation Model CanESM2 data was used as input to AquaCrop for generation of future data. The AquaCrop yield model was first checked for its suitability and accuracy in prediction of yield for years 2000–2015, model nash sutcl

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