Climatology and trends of wintertime diurnal temperature range over East Asia in CMIP6 models: Evaluation and attribution

Liu, Lin; Dong, Zizhen; Gong, Hainan; Wang, Lin; Chen, Wen; Wu, Renguang

doi:10.1016/j.atmosres.2022.106438

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…Unlike the decreasing precipitation during the historical period (Gu et al, 2016; Li et al, 2017; Polson et al, 2014; Xie et al, 2013; Zhang & Li, 2016), AA leads to increase in precipitation over most global land areas at the end of the twenty‐first century, because of reductions in AA and precursor emissions under the SSP2‐4.5 scenario (O'Neill et al, 2016; Rao, 2017). In addition, regional changes in future precipitation in turn affect temperature, and it has been demonstrated that the increasing precipitation due to GHG and AA largely result in a decrease in diurnal temperature range over East Asia (Liu et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6–DAMIP models

Wang

Zhao

Hua

et al. 2023

Intl Journal of Climatology

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Warming has already changed the patterns of precipitation and increased the risk of extreme climate events. An assessment of the influences from anthropogenic and natural forcings on future changes in precipitation is therefore essential to define appropriate mitigation and adaptation policies. We assess the effects of natural (NAT) and anthropogenic forcings (greenhouse gases [GHG] and anthropogenic aerosols [AA]) on precipitation over land areas simulated under the Coupled Model Intercomparison Project Phase 6 (CMIP6) SSP2‐4.5 scenario. Our results indicate that changes in precipitation due to GHG forcing, AA forcing and all external forcings (ALL) are projected to increase by about 3.0%–24.8%, 1.1%–6.9% and 4.2%–31.2%, respectively, across most land areas in the twenty‐first century, especially over the mid‐ and high latitudes of the Northern Hemisphere and central Africa, with an increase in the mean and flattening of the probability distribution functions (PDFs). By contrast, the NAT‐induced changes are relatively small, with a slight increase in the mean of the PDFs. The frequencies of both future extreme precipitation and dry events are projected to increase by 11%–101% and 3%–72%, respectively, over many continental regions under the influence of external forcings, especially under GHG forcing. Fingerprinting detection shows that the signals of GHG (except for Australia), AA and ALL forcing are detectable at the likely level (signal‐to‐noise ratio >0.95; 66% confidence) over most land areas. The GHG signals are stronger and detected earlier (after 2010s, likely level) than the AA signals (after 2060s, likely level).

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Section: Discussionmentioning

confidence: 99%

Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6–DAMIP models

Wang

Zhao

Hua

et al. 2023

Intl Journal of Climatology

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Spatiotemporal Evaluation and Future Projection of Diurnal Temperature Range over the Tibetan Plateau in CMIP6 Models

Zhang,

Hu,

Meng

et al. 2024

Adv. Atmos. Sci.

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Climate change impact on streamflow and suspended sediment load in the flood-prone river basin

Ranjan

Mishra

2023

Journal of Water and Climate Change

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Understanding the relationship between climate change and changes in streamflow and suspended sediment load (SSL) at the regional scale is critical for future decisions on water resource management. Hence, this study assessed the projected climate change impact on streamflow and SSL based on CMIP6 projections in the flood-prone Mahanadi River Basin (MRB) using the SWAT model. Bias-corrected climate data from five global climate models under medium and extreme shared socioeconomic pathways (SSPs) were utilized as an input to the SWAT model for the baseline (1985–2014), near future (NF, 2020–2046), and mid future (MF, 2047–2073) periods. Rainfall is expected to increase by 2.86% (2.19%) and 13.35% (16.98%) in the NF and MF, respectively, under SSP245 (SSP585). Streamflow and SSL may increase by 6.38% (6.06%) and 4.43% (7.89%) in the NF and by 29.78% (36.90%) and 37% (46.43%) in the MF, respectively, under SSP245 (SSP585) scenario. Also, streamflow and SSL exhibited an increasing trend in most months as well as in most seasons. The findings may be helpful to decision-makers in identifying watershed management plans by offering more information on how climate change affects the hydro-sedimentological processes in a flood-prone river basin.

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Climatology and trends of wintertime diurnal temperature range over East Asia in CMIP6 models: Evaluation and attribution

Cited by 5 publications

References 40 publications

Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6–DAMIP models

Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6–DAMIP models

Spatiotemporal Evaluation and Future Projection of Diurnal Temperature Range over the Tibetan Plateau in CMIP6 Models

Climate change impact on streamflow and suspended sediment load in the flood-prone river basin

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