CNRD v1.0: A High-Quality Natural Runoff Dataset for Hydrological and Climate Studies in China

Gou, Jiaojiao; Miao, Chiyuan; Samaniego, Luis; Xiao, Mu; Wu, Jingwen; Xiao-ying, Guo

doi:10.1175/bams-d-20-0094.1

Cited by 59 publications

(27 citation statements)

References 63 publications

(66 reference statements)

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“…Numerous studies have shown that the frequency of extreme events has increased regionally and globally (Seneviratne et al., 2012; Sun et al., 2014). In the context of climate change (Gou et al., 2021), the consequences of climate extremes for human health (Sun et al., 2019; Yang et al., 2019), food security (Eggen et al., 2019), and other socioeconomic factors have been widely recognized worldwide. There is an extensive body of literature on univariate extreme events based on observations over the past several decades, and these studies commonly rely on analyzing extreme climate indices derived for one variable at a time (e.g., precipitation, temperature) (Papalexiou & Montanari, 2019; Wang et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Global Observations and CMIP6 Simulations of Compound Extremes of Monthly Temperature and Precipitation

Miao

Sun

et al. 2021

GeoHealth

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Future climate change will not only affect mean climate but will also likely alter the frequency and magnitude of extreme climate events (Fischer & Knutti, 2015;Miao et al., 2014;. Here, we broadly define an "extreme" event as a rare and infrequent occurrence at a specific time and site. It is a low-probability event corresponding to a certain climate variable from either of the tails of that variable's probability density function (Seneviratne et al., 2012). Specifically, we usually define extreme events as those that occur in the highest or lowest 5% (

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Section: Introductionmentioning

confidence: 99%

Global Observations and CMIP6 Simulations of Compound Extremes of Monthly Temperature and Precipitation

Miao

Sun

et al. 2021

GeoHealth

Self Cite

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“…Warming of the climate system is unequivocal, a fact that has drawn overwhelming attention from the public, governments, and academic communities in recent decades (Gou et al 2021). The warming has exerted profound, worldwide impacts on human life (Cheng et al 2018;Sun et al 2019), agricultural production (Liu et al 2019(Liu et al , 2021Tigchelaar et al 2018), land use (Seneviratne et al 2018), and natural ecosystems (Gou et al 2020;Zheng et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of historical CMIP6 model simulations and future projections of temperature over the Pan-Third Pole region

Fan

Duan

Shen

et al. 2021

Environ Sci Pollut Res

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The Pan-Third Pole (PTP) region, which encompasses the Eurasian highlands and their surroundings, has experienced unprecedented, accelerated warming during the past decades. This study evaluates the performance of historical simulation runs of the Coupled Model Intercomparison Project (CMIP6) in capturing spatial patterns and temporal variations observed over the PTP region for mean and extreme temperatures. In addition, projected changes in temperatures under four Shared Socioeconomic Pathway (SSP) scenarios (SSP1‐2.6, SSP2‐4.5, SSP3-7.0, and SSP5‐8.5) are also reported. Four indices were used to characterize changes in temperature extremes: the annual maximum value of daily maximum temperature (TXx), the annual minimum value of daily minimum temperature (TNn), and indices for the percentage of warm days (TX90p) and warm nights (TN90p). Results indicate that most CMIP6 models generally capture the characteristics of the observed mean and extreme temperatures over the PTP region, but there still are slight cold biases in the Tibetan Plateau. Future changes of mean and extreme temperatures demonstrate that a strong increase will occur for the entire PTP region during the twenty-first century under all four SSP scenarios. Between 2015 and 2099, ensemble area-averaged annual mean temperatures are projected to increase by 1.24 °C/100 year, 3.28 °C/100 year, 5.57 °C/100 year, and 7.40 °C/100 year for the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, respectively. For TXx and TNn, the most intense warming is projected in Central Asia. The greatest number of projected TX90p and TN90p will occur in the Southeast Asia and Tibetan Plateau, respectively.

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“…The degradation of the ecosystem will aggravate the shortage of water resources around Zhangjiakou and increase the occurrence of sandstorms, with a negative feedback on ecological security around Zhangjiakou. Therefore, future land planning for Zhangjiakou should focus on protecting forest vegetation resources in the south (Gou et al, 2021).…”

Section: Implications Of Resultsmentioning

confidence: 99%

Land use changes in Zhangjiakou from 2005 to 2025 and the importance of ecosystem services

Chi

et al. 2021

PeerJ

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Changes in local land use affect regional ecological services, development planning, and optimal use of space. We analyzed the effects of changes in land use from 2000 to 2025 on the spatial distribution of ecosystem services using CLUS-S modeling to evaluate ecosystem functions in Zhangjiakou, China. We found that the urban ecosystem area in Zhangjiakou increased and farmland decreased between 2000–2025. Water conservation was relatively high and was concentrated in the nature reserves of southern Zhangjiakou. Soil conservation was mainly distributed in eastern and southern counties. The results of the CLUE-S model showed that the relative operating characteristics of the six land use types were > 0.70, and the logistic regression equation was able to successfully explain the distribution pattern of the different types of land use.

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CNRD v1.0: A High-Quality Natural Runoff Dataset for Hydrological and Climate Studies in China

Abstract: Capsule summaryA long-term spatiotemporally continuous naturalized runoff record, CNRD v1.0, is reconstructed by using a comprehensive model parameter uncertainty analysis framework within a land-surface model.

Cited by 59 publications

References 63 publications

Global Observations and CMIP6 Simulations of Compound Extremes of Monthly Temperature and Precipitation

Global Observations and CMIP6 Simulations of Compound Extremes of Monthly Temperature and Precipitation

Evaluation of historical CMIP6 model simulations and future projections of temperature over the Pan-Third Pole region

Land use changes in Zhangjiakou from 2005 to 2025 and the importance of ecosystem services

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