Future climate projections for Eastern Canada

Wang, Xiuquan; Guo, Junhong; Fenech, Adam; Farooque, Aitazaz A.

doi:10.1007/s00382-022-06251-y

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…Mehdi Torabi et al [11] employed PRECIS for spatial downscaling to assess changes in the intensity-duration-frequency curves of floods under future climate change impacts, providing a basis for urban flood management. Wang et al [12] filled the gap in highresolution regional climate change research in eastern Canada for the 21st century under three emission scenarios, RCP2.6, RCP4.5, and RCP8.5, using the PRECIS regional climate model. Li et al [13] used meteorological data generated by the PRECIS regional climate model under RCP4.5 and RCP8.5 scenarios to assess the impact of future climate change on soybean yield in Northeast China.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Downscaling of Daily Extreme Temperatures over China Using PRECIS Model

Guo,

Jia,

Wang

et al. 2024

Sustainability

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As global warming intensifies and the frequency of extreme weather events rises, posing a major threat to the world’s economy and sustainable development, accurate forecasting of future extreme events is of great significance to mankind’s response to extreme weather events and to the sustainable development of society. Global Climate Models (GCMs) have limitations in their applicability at regional scales due to their coarse resolution. Utilizing dynamical downscaling methods based on regional climate models (RCMs) is an essential approach to obtaining high-resolution climate simulation information in future. This study represents an attempt to extend the use of the Providing REgional Climates for Impacts Studies (PRECIS) regional climate model by employing the BCC-CSM2-MR model from the Beijing Climate Center to drive it, conducting downscaling experiments over China at a spatial resolution of 0.22° (25 km). The simulation and prediction of daily maximum and minimum temperatures across the China region are conducted, marking a significant effort to expand the usage of PRECIS with data from alternative GCMs. The results indicate that PRECIS performs well in simulating the daily maximum and minimum temperatures over the China region, accurately capturing their spatial distribution and demonstrating notable simulation capabilities for both cold and warm regions. In the annual cycle, the simulation performance of PRECIS is superior to its driving GCM, particularly during cold months (i.e., December and from January to May). Regarding future changes, the daily extreme temperatures in most regions are projected to increase gradually over time. In the early 21st century, the warming magnitude is approximately 1.5 °C, reaching around 3 °C by the end of the century, with even higher warming magnitudes exceeding 4.5 °C under the SSP585 scenario. Northern regions will experience greater warming magnitudes than southern regions, suggesting faster increases in extreme temperatures in higher latitudes. This paper provides forecasts of extreme temperatures in China, which will be useful for studying extreme events and for the government to make decisions in response to extreme events.

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Section: Introductionmentioning

confidence: 99%

Dynamical Downscaling of Daily Extreme Temperatures over China Using PRECIS Model

Guo,

Jia,

Wang

et al. 2024

Sustainability

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“…While positive changes toward ecosystem restoration or creation through climate adaptation and mitigation measures would be welcomed in the face of continued ecosystem degradation globally, there are still limitations in detecting climate-vulnerable ecosystems due to inadequate research and methodological constraints, particularly in coastal areas where multiple climatic and hydrological stressors interact with complex ecological systems [17,18]. Although many international governments and organizations have declared a climate emergency in recent years, there is still a rareness of concrete climate action due to a lack of understanding of the effects of future climatic changes on coastal ecosystems and how to mitigate and adapt to those changes in the long term [19]. This is why understanding how climate change affects ecosystems has always been critical for identifying hotspots of vulnerability and resilience for the sustainable management of ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems—A Canadian Case Study

Dau,

Wang,

Shah

et al. 2023

Remote Sensing

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Understanding how climate change affects coastal ecosystems is one of the most important elements in determining vulnerability and resilience for long-term ecosystem management in the face of the increasing risk of coastal hazards (e.g., sea level rise, coastal flooding, and storm surge). This research attempts to undertake a study on the ecosystem–climate nexus in the Canadian province of Prince Edward Island (PEI). Cloud-based remote sensing techniques with Google Earth Engine (GGE) are utilized to identify ecosystem changes over time. In addition, the effects of coastal flooding and storm surge ecosystems under different climate scenarios are examined. The results suggest a reduction in the forest (3%), open water or marsh component (9%), salt water (5%), no open water or marsh component (3%), and salt or brackish marsh (17%) ecosystems from 2013 to 2022. Dune and beach exhibit a non-uniform distribution across the period because of variations in natural processes, with an upward trend ranging from 0% to 11%. Approximately 257 km2 (9.4%) of PEI’s ecosystems would be affected by extreme coastal flooding (scenario 4), compared to 142 km2 (5.2%), 155 km2 (5.7%), and 191 km2 (7%) in scenarios 1, 2, and 3, respectively. Under a 4 m storm surge scenario, around 223 km2 (8.2%) of PEI’s ecosystems would be flooded, compared to 61 km2 (2.2%), 113 km2 (4.1%), and 168 km2 (6.1%) under 1 m, 2 m, and 3 m scenarios, respectively. The findings from this research would enable policymakers to take necessary actions to sustain ecosystem services in PEI while confronting the impacts of climate change.

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Three decades of ocean warming impacts on marine ecosystems: A review and perspective

Venegas

Acevedo

Treml

2023

Deep Sea Research Part II: Topical Studies in Oceanography

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Future climate projections for Eastern Canada

Cited by 6 publications

References 42 publications

Dynamical Downscaling of Daily Extreme Temperatures over China Using PRECIS Model

Dynamical Downscaling of Daily Extreme Temperatures over China Using PRECIS Model

Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems—A Canadian Case Study

Three decades of ocean warming impacts on marine ecosystems: A review and perspective

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