Comparison of Projections of Precipitation over Yangtze River Basin of China by Different Climate Models

Pan, Hong; Jin, Youjie; Zhu, Xiaodong

doi:10.3390/w14121888

Cited by 10 publications

(2 citation statements)

References 50 publications

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“…Related studies used GCMs from CMIP6 to assess changes in extreme climate events as the world warming (Pan et al 2022;Shiru et al 2022;Zamani et al 2020). To explore the applicability of the CMIP6 models, the evaluation was conducted to assess the ability of multi-model ensemble to project ECIs defined for maize production in China.…”

Section: Performance Of Cmip6 Modelsmentioning

confidence: 99%

Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations

Xiao,

Shi,

Chen

et al. 2024

Preprint

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Climate change is expected to increase the frequency and severity of climate extremes, which will negatively impact crop production. As one of the main food and feed crops, maize is also vulnerable to extreme climate events. In order to accurately and comprehensively assess the future climate risk to maize, it is urgent to project and evaluate the stress of extreme climate related maize production under future climate scenarios. In this study, we comprehensively evaluated the spatio-temporal changes in the frequency and intensity of six extreme climate indices (ECIs) across China’s maize harvest region by using a multi-model ensemble method, and examined the capability of the Coupled Model Intercomparison Project Phase 6 (CMIP6) to capture these variations. We found that the Independence Weight Mean (IWM) ensemble results calculated by multiple Global Change Models (GCMs) with bias correction could better reproduce each ECI. The results indicated that heat stress for maize showed consistent increase trends under four future climate scenarios in the 21st century. The intensity and frequency of the three extreme temperature indices in 2080s were significantly higher than these in 2040s, and in the high emission scenario were significantly higher than these in the low emission scenario. The three extreme precipitation indices changed slightly in the future, but the spatial changes were relatively prominent. Overall, the temporal characteristics and trends of extreme temperature events were consistent, while the spatial heterogeneity of extreme precipitation events was more significant.

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Section: Performance Of Cmip6 Modelsmentioning

confidence: 99%

Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations

Xiao,

Shi,

Chen

et al. 2024

Preprint

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show abstract

“…Several research studies evaluate direct and indirect impacts of extreme rainfall in road pavement, road runoff quantity, and quality and in water resources. The task is not easy due to the uncertainties associated with future scenarios (e.g., [2][3][4][5][6][7][8][9]). Changes in precipitation will change the pattern of diffuse pollution sources, including road runoff discharge, in the coming decades.…”

Section: Introduction 1climate Change Impacts On Road Pavement and Ro...mentioning

confidence: 99%

Road Pavement, Road Pollution, and Sustainability under Climate Change Increased Temperature

et al. 2023

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This paper presents a multidisciplinary approach to understand the impacts of temperature increase on the retention of particulate pollutants, such as heavy metals and microplastics, by the road pavement material. A soil with a particle size distribution similar to road dust was selected. A Wheel Tracking device was used to assess the permanent deformation behavior of prismatic specimens and the retention of the dust, at controlled temperatures of 40 °C and 60 °C, likely to occur on pavement in the future. The soil representing road pollutants was placed at the top of the slabs prior to the Wheel Tracking Test (WTT), based on the European Standard EN 12697-22:2020. After the WTT, two common methods were used, in order to evaluate the soil retention (pollution accumulation) on road pavement. The results confirm that the viscoelastic behavior of bituminous mixtures under increased temperatures can contribute to particle retention at the pavement. Future studies are needed to understand the phenomena, the retention characteristics by different bituminous mixtures, and the efficiency of pollutants capture. The work opens the opportunity to develop innovative road pavement bituminous mixtures that can reduce the discharge of road particulate pollutants, and have increased resilience and sustainability in extreme weather conditions.

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Adaptation analysis and fusion correction method of CMIP6 precipitation simulation data on the Qinghai-Tibetan Plateau

Peng,

Qin,

Wang

et al. 2024

J. Mt. Sci.

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Comparison of Projections of Precipitation over Yangtze River Basin of China by Different Climate Models

Cited by 10 publications

References 50 publications

Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations

Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations

Road Pavement, Road Pollution, and Sustainability under Climate Change Increased Temperature

Adaptation analysis and fusion correction method of CMIP6 precipitation simulation data on the Qinghai-Tibetan Plateau

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