The Antarctic Amplification Based on MODIS Land Surface Temperature and ERA5

Xie, Aihong; Jun, Zhu; Qin, Xiang; Wang, Shimeng

doi:10.3390/rs15143540

Cited by 4 publications

(5 citation statements)

References 60 publications

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“…In previous research, we analyzed the performance of MODIS LST in Antarctica using measured data from 128 stations. We found that the monthly correlation coefficient between MODIS and observations was higher than 0.90 at 104 stations, and that the bias was lower than 4.0 • C in general [30].…”

Section: Performance Of Modis Observations In Representing Land Surfa...mentioning

confidence: 62%

“…When these are compared with variations in temperature over land across the entire globe, the phenomenon of polar amplification is revealed in the Arctic and at the Third Pole, whereas Antarctic amplification only appears in cold seasons in the Southern Hemisphere. However, polar amplification in Antarctica does appear on all annual and seasonal scales, when compared with temperature changes over the entire Southern Hemisphere land region, so that the rate of variation in Antarctic temperature exceeds 1.27 times that for the Southern Hemisphere in austral summer [30]. The choice of a hemispherical or global scale as a reference has a significant impact on the identification of polar amplification, and especially affects the judgment of whether Antarctic amplification exists.…”

Section: Discussionmentioning

confidence: 99%

“…The strong warming signal has disappeared in the Antarctic Peninsula since the late 1990s, which is related to the strengthening of mid-latitude jets [27]. In addition, the warming sign dominated East Antarctica in the austral spring, and Antarctic amplification existed in the austral spring for the period 1979-2019 [28][29][30]. Generally, the Arctic and the Third Pole have experienced obvious warming, while Antarctic temperature decreased in the second half of the 20th century, and the variations have reversed in recent years.…”

Section: Introductionmentioning

confidence: 99%

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Polar Amplification in the Earth’s Three Poles Based on MODIS Land Surface Temperatures

Xie,

Zhu,

Wang

et al. 2023

Remote Sensing

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Polar amplification appears in response to greenhouse gas forcing, which has become a focus of climate change research. However, polar amplification has not been systematically investigated over the Earth’s three poles (the Arctic, Antarctica, and the Third Pole). An index of polar amplification is employed, and the annual and seasonal variations of land surface temperature over the Earth’s three poles are examined using MODIS (Moderate Resolution Imaging Spectroradiometer) observations for the period 2001–2018. As expected, the warming of the Arctic is most conspicuous, followed by the Third Pole, and is weakest in Antarctica. Compared to the temperature changes for the global land region, positive polar amplification appears in the Arctic and the Third Pole on an annual scale, whereas Antarctic amplification disappears, with a negative amplification index of −0.72. The polar amplification for the Earth’s three poles shows seasonal differences. Strong Arctic amplification appears in boreal spring and winter, with a surface warming rate of more than 3.40 times the global mean for land regions. In contrast, the amplification of the Third Pole is most conspicuous in boreal summer. The two poles located in the Northern Hemisphere have the weakest amplification in boreal autumn. Differently from the positive amplification for the Arctic and the Third Pole in all seasons, the faster variations in Antarctic temperature compared to the globe only appear in austral autumn and winter, and the amplification signal is negative in these seasons, with an amplification index of −1.68 and −2.73, respectively. In the austral winter, the strong negative amplification concentrates on West Antarctica and the coast of East Antarctica, with an absolute value of amplification index higher than 5 in general. Generally, the polar amplification is strongest in the Arctic except from June to August, and Antarctic amplification is the weakest among the Earth’s three poles. The Earth’s three poles are experiencing drastic changes, and the potential influence of climate change should receive attention.

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Section: Performance Of Modis Observations In Representing Land Surfa...mentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Polar Amplification in the Earth’s Three Poles Based on MODIS Land Surface Temperatures

Xie,

Zhu,

Wang

et al. 2023

Remote Sensing

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“…Compared to other datasets, ERA5 has been proven by many scholars to have good accuracy and high degree of fitting. ERA5 datasets can also fit variables such as temperature, wind field, ozone content, etc., in high-latitude regions well [47][48][49][50]. The dataset selected in this study covers the region between 60 • N and 90 • N with a spatial resolution of 1/4 • and a temporal resolution of every 6 h. The focus of this study is to use reanalysis datasets to reveal the historical trend of wind energy density in the Arctic without taking into account sudden changes in wind speed caused by sudden weather phenomena such as cold eddies and cyclones.…”

Section: Era5 Reanalysis Datamentioning

confidence: 99%

Interdecadal Variation Trend of Arctic Wind Energy

Wang,

Wu,

et al. 2023

Energies

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The Arctic’s navigation and utilization have garnered global interest due to the economic and strategic significance of its open shipping routes. The feasibility and cost-effectiveness of Arctic wind power generation depend largely on the potential of wind energy, which in turn influences the construction of new ports. In order to effectively harness polar wind energy, we must understand and adapt to its ever-changing rules. This study leverages ERA5′s 40-year wind field data to estimate the Theil–Sen Median slope and perform Mann–Kendall trend analysis. We consider factors such as wind power density, effective wind speed occurrence, energy level frequency, stability, and resource reserves to comprehensively analyze the intergenerational variations in Arctic wind energy resources. Our findings indicate that Northeast Passage, Davis Strait, and Baffin Bay possess favorable wind power density (1~2 W/m2·yr−1), effective wind speed occurrence (0.1~0.2%·yr−1), energy level frequency (0.1~0.2%·yr−1), stability (−0.005 yr−1), and resource reserves (1 kWh/m2·yr−1). However, these indicators are inferior in the Barents Sea, Canada’s northern archipelagos, and Greenland’s vicinity, where wind energy is relatively poor and unfavorable for development. Autumn dominates the annual change trend of Arctic wind energy, while spring and summer show no significant trends.

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“…Land surface temperature (LST) is a very important characteristic physical quantity to characterize the changes in surface processes, and it is a direct driving factor of the land surface-atmosphere energy exchange and a key parameter to regulate the land-atmosphere interaction. LST is widely used in fields of surface energy balance, monitoring regional climate change and resource environment; for example, the estimation of surface soil moisture and evapotranspiration [1][2][3], urban heat islands and climate change [4,5], the carbon-hydrological cycle [6], near-surface air temperature inversion [7,8], drought monitoring [9,10], vegetation cover and land-use cover [11][12][13], and environmental research [14,15]. However, there are still some problems that need to be solved.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model

Zhao,

Xue,

Zhang

et al. 2023

Atmosphere

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Accurately estimating daily mean land surface temperature (LST) is crucial for studying the urban heat island effect, land–atmosphere energy exchange, and global climate change. However, limited research has been conducted on average surface temperature estimation, particularly in high-altitude regions like the Qinghai–Tibet Plateau with extensive cloud cover. In this study, we propose the Reanalysis Data and Thermal Infrared Remote Sensing Data Merging-Diurnal Temperature Cycle (RTM-DTC) model specifically for the Qinghai–Tibet Plateau, successfully estimating mean LST using the model. We apply the RTM method to reconstruct LST under cloud cover from the MODIS LST product and calculate the average temperature using the DTC model. Validation with in situ measurements from seven meteorological stations on the Tibetan Plateau yielded daily scale RMSEs ranging from 1.81 K to 2.021 K and monthly scale RMSEs ranging from 1.77 K to 2.0 K, with an average RMSE of 1.91 K. These results demonstrate the adaptability of the RTM-DTC model and its ability to depict the annual variation curve of the mean surface temperature, and provide further research on RTM-DTC as a valuable approach.

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The Antarctic Amplification Based on MODIS Land Surface Temperature and ERA5

Cited by 4 publications

References 60 publications

Polar Amplification in the Earth’s Three Poles Based on MODIS Land Surface Temperatures

Polar Amplification in the Earth’s Three Poles Based on MODIS Land Surface Temperatures

Interdecadal Variation Trend of Arctic Wind Energy

Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model

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