Tempo-spatial characteristics of sub-daily temperature trends in mainland China

Ren, Yue; Parker, D. E.; Ren, Guoyu; Dunn, Robert

doi:10.1007/s00382-015-2726-7

Cited by 23 publications

(13 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Annual and cold-season precipitation in the TP has increased over past decades. The increase has been found to be a part of a broader climatic moistening trend observed in western China, including the TP and northwestern China (Qin et al 2005;Ren et al 2000Ren et al , 2005Ren et al , 2015You et al 2015). The increase in annual precipitation in the northeastern TP seems abnormal in terms of the tree ring-based paleo-reconstruction of precipitation in the last 1,000 years (Shao et al 2010).…”

Section: Precipitation Did Not Show Clear Trends In the Past Decadesmentioning

confidence: 97%

Unravelling Climate Change in the Hindu Kush Himalaya: Rapid Warming in the Mountains and Increasing Extremes

Krishnan

Shrestha

Ren

et al. 2019

The Hindu Kush Himalaya Assessment

Self Cite

173

102

View full text Add to dashboard Cite

Section: Precipitation Did Not Show Clear Trends In the Past Decadesmentioning

confidence: 97%

Unravelling Climate Change in the Hindu Kush Himalaya: Rapid Warming in the Mountains and Increasing Extremes

Krishnan

Shrestha

Ren

et al. 2019

The Hindu Kush Himalaya Assessment

Self Cite

173

102

View full text Add to dashboard Cite

“…During the past few decades, the frequency of these events have been found to increase (Wei and Chen 2011;Wang and Fu 2013;Ren et al 2005Ren et al , 2016Zhou and Wang 2016). But this trend is not always consistent and can vary in some regions (Yan et al 2011b;Ding and Qian 2011;Dong and Huang 2015).…”

Section: Introductionmentioning

confidence: 99%

Central-Eastern China Persistent Heat Waves: Evaluation of the AMIP Models

et al. 2018

View full text Add to dashboard Cite

Large-scale and persistent heat waves affecting central-eastern China are investigated in 40 different simulations of sea surface temperature driven global atmospheric models. The different models are compared with results from reanalysis and ground station datasets. It is found that the dynamics of heat-wave events is well reproduced by the models. However, they tend to produce too-persistent heat-wave events (lasting more than 20 days), and several hypotheses were tested to explain this bias. The daily variability of the temperatures or the seasonal signal did not explain the persistence. However, interannual variability of the temperatures in the models, and especially the sharp transition in the mid-1990s, has a large impact on the duration of heat waves. A filtering method was applied to select the models closest to the observations in terms of events persistence. The selected models do not show a significant difference from the other models for the long-term trends. Thus, the bias on the duration of the events does not impact the reliability of the model positive trends, which is mainly controlled by the changes in mean temperatures.

show abstract

“…Change in the risk of extreme temperatures over China has been a major focus of research (e.g., Ren et al, 2016;Zhou and Wang, 2016;Chen and Zhai, 2017;Freychet et al, 2017;Luo and Lau, 2017). The impact of anthropogenic forcings has been identified in several studies (e.g., Sun et al, 2016;Yin et al, 2016Yin et al, , 2017Ma et al, 2017;Peng et al, 2017;Sun et al, 2017) showing an increase in the risk of high temperatures due to an increase in greenhouse gases.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Anthropogenic Forcings and El Niño on Chinese Extreme Temperatures

et al. 2018

View full text Add to dashboard Cite

This study investigates the potential influences of anthropogenic forcings and natural variability on the risk of summer extreme temperatures over China. We use three multi-thousand-member ensemble simulations with different forcings (with or without anthropogenic greenhouse gases and aerosol emissions) to evaluate the human impact, and with sea surface temperature patterns from three different years around the El Niño-Southern Oscillation (ENSO) 2015/16 event (years 2014, 2015 and 2016) to evaluate the impact of natural variability. A generalized extreme value (GEV) distribution is used to fit the ensemble results. Based on these model results, we find that, during the peak of ENSO (2015), daytime extreme temperatures are smaller over the central China region compared to a normal year (2014). During 2016, the risk of nighttime extreme temperatures is largely increased over the eastern coastal region. Both anomalies are of the same magnitude as the anthropogenic influence. Thus, ENSO can amplify or counterbalance (at a regional and annual scale) anthropogenic effects on extreme summer temperatures over China. Changes are mainly due to changes in the GEV location parameter. Thus, anomalies are due to a shift in the distributions and not to a change in temperature variability.

show abstract

Tempo-spatial characteristics of sub-daily temperature trends in mainland China

Cited by 23 publications

References 54 publications

Unravelling Climate Change in the Hindu Kush Himalaya: Rapid Warming in the Mountains and Increasing Extremes

Unravelling Climate Change in the Hindu Kush Himalaya: Rapid Warming in the Mountains and Increasing Extremes

Central-Eastern China Persistent Heat Waves: Evaluation of the AMIP Models

Impacts of Anthropogenic Forcings and El Niño on Chinese Extreme Temperatures

Contact Info

Product

Resources

About