Assessment of Temperature Changes on the Tibetan Plateau During 1980–2018

Peng, Xiaoqing; Frauenfeld, Oliver W.; Jin, Huali; Du, Ran; Qiao, Lina; Zhao, Yi; Mu, Cuicui; Zhang, Tingjun

doi:10.1029/2020ea001609

Cited by 33 publications

(16 citation statements)

References 49 publications

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“…The CMFD was produced by merging a variety of data sources, including remote sensing products, reanalysis data set and in‐situ observation data at weather stations. It has been shown to represent the actual conditions of the QTP with acceptable accuracy and has been widely used to simulate land surface processes on the QTP (Guo & Wang, 2013; He et al., 2020; Peng et al., 2021; T. Wang et al., 2020). Thus, it provides us with historical climate conditions to simulate permafrost changes on the QTP over the past decades.…”

Section: Methodsmentioning

confidence: 99%

Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century

Zhang

et al. 2022

Earth's Future

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As a unique geomorphological unit on Earth, the Qinghai-Tibet Plateau (QTP) is sensitive to global warming, and has warmed twice as fast as the global average over the past five decades (D. Chen et al., 2015;Yao et al., 2019). The QTP, known as the "Third Pole," has the largest area of alpine permafrost in the world (Jin et al., 2000). Permafrost on the QTP has been observed to have degraded substantially as a result of drastic climate warm-

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Section: Methodsmentioning

confidence: 99%

Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century

Zhang

et al. 2022

Earth's Future

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“…CMFD and ERA5-Land provide precipitation and temperature variables with long time scales and high spatial resolutions, which gives us an unprecedented opportunity to explore long-term trends towards climate changes accurately (He et al, 2020;Peng et al, 2021). Based on the integration of remote-sensing products and model results, CMFD also assimilates observations made and collected in the national weather stations.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the integration of remote-sensing products and model results, CMFD also assimilates observations made and collected in the national weather stations. The temperature of CMFD has been evaluated over the Qinghai-Tibet Plateau by being compared with the observed data in 86 weather stations during the period of 1980-2018 (Peng et al, 2021), and the results indicate that CMFD performs the best when compared to other products in China. The CMFD precipitation product is also used for detecting the temporal and spatial patterns of extreme precipitation events over the Qinghai-Tibet Plateau from 1981 to 2014 (He et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Long-Term and High-Resolution Gridded Precipitation and Temperature Products in the Qilian Mountains, Qinghai–Tibet Plateau

Qin

Liu

et al. 2022

Front. Environ. Sci.

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Long-term and high-resolution gridded products of precipitation and temperature data are highly important to study the changes in climate and environment under global warming. Considering the uncertainties of these products in mountainous areas, it is necessary to evaluate the data reliability. This study evaluates the performances of the CMFD (China Meteorological Forcing Dataset) and ERA5-Land in simulating precipitation and temperature in the Qilian Mountains over the period of 1980–2018. We use the observation data of 28 basic meteorological stations in the Qilian Mountains to compare with the reanalysis products. Error metrics (the correlation coefficient (CC), the root mean square error (RMSE), the mean absolute error (MAE), and the relative bias (BIAS)) are used to quantify the monthly differences in existence between the observed data and reanalysis data. Our findings indicate that both CMFD and ERA5-Land could well reproduce the spatial distribution of mean monthly precipitation and temperature in the region. A good correlation is found between CMFD and OBS under different amounts of monthly precipitation conditions. The monthly average temperatures of CMFD and ERA5-Land reveal a high correlation with the observed results. Moreover, the CC values of CMFD and ERA5-Land precipitation products are the highest in autumn and the lowest in winter, and the CC values of both CMFD and ERA5-Land temperature products are higher in spring and autumn. However, we find that both reanalysis products underestimate the temperature to varying degrees, and the amount of precipitation is overestimated by ERA5-Land. The results of the evaluation show that the errors in precipitation yielded by CMFD as a whole are distinctly fewer than those yielded by ERA5-Land, while the errors in air temperature yielded by both ERA5-Land and CMFD are nearly identical to each other. Overall, ERA5-Land is more suitable than CMFD for studying the trends of temperature changes in the Qilian Mountains. As for simulation of precipitation, CMFD performs better in the central and eastern parts of the Qilian Mountains, whereas ERA5-Land performs better in the western part of the Qilian Mountains.

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“…Most gridded surface air temperature products come with inherent uncertainties (Peng et al ., 2021), which vary by region and have different impacts. Therefore, we compare the differences between downscaled and original surface air temperatures for different regions and under different scenarios (Figure 13).…”

Section: Resultsmentioning

confidence: 99%

Performance and changes of high‐resolution (1 km) surface air temperature in Northern Hemisphere permafrost regions

Jin

Peng

Frauenfeld

et al. 2022

Intl Journal of Climatology

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Surface air temperatures are significant indicators of environmental and climatic change that affect a diverse set of physical systems including permafrost. Most temperature products, such as gridded or reanalysis data, are still at a relatively low spatial resolution, limiting the ability to simulate heterogeneous permafrost changes and leading to large uncertainties. Here we apply a downscaling method based on elevation to obtain high‐resolution surface air temperatures from the sixth Coupled Model Intercomparison Project in Northern Hemisphere permafrost regions. Root‐mean‐square errors and mean absolute errors after downscaling are reduced by 34 and 37%, respectively, relative to meteorological site data and gridded observations from the Climatic Research Unit. Compared to the downscaled surface air temperature data, nondownscaled model projections overestimate by 0.12–0.39°C in the discontinuous, isolated, and sporadic permafrost regions and underestimate up to 0.18°C in the continuous permafrost region under different emission scenarios. The warming rates in Northern Hemisphere permafrost regions were 0.093°C/10 year during the historical (1850–2014) period and are projected to be 0.22°C/10 year for SSP1‐2.6, 0.48°C/10 year for SSP2‐4.5, 0.75°C/10 year for SSP3‐7.0, and 0.95°C/10 year for SSP5‐8.5 during 2015–2100, which is 1.4–1.6 times the warming of nonpermafrost regions. Warming rates in high latitudes are 1.2–1.7 times higher than those in high‐elevation regions. Continuous permafrost regions' warming will be 1.2–1.4 times higher than in other permafrost regions. For permafrost with high ground ice content, warming will be 1.1 times greater than in permafrost regions with medium or low ground ice content.

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Assessment of Temperature Changes on the Tibetan Plateau During 1980–2018

Abstract: Limited observational records and an uneven station distribution represent a major difficulty for accurately quantifying climate change on the Tibetan Plateau. On the other hand, many temperatures products have

Cited by 33 publications

References 49 publications

Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century

Qinghai‐Tibet Plateau Permafrost at Risk in the Late 21st Century

Evaluation of Long-Term and High-Resolution Gridded Precipitation and Temperature Products in the Qilian Mountains, Qinghai–Tibet Plateau

Performance and changes of high‐resolution (1 km) surface air temperature in Northern Hemisphere permafrost regions

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