This dataset is reconstructed based on deep learning methods combined with Arctic observation data. The Arctic observation data include GHCN-d, NP observation, ICOADS, and IABP's buoy observation. The dataset provides 1°x1° monthly temperature anomalies (relative to 1981–2010 average) from 30°N to 90°N from 1979 to 2021.</p
Reconstructing Arctic temperatures prior to the recent climate changes requires to use indirect indi...
In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are ...
In this study, we examined monthly temperature variation from 1973 to 2008 on grid regions of the ea...
code for :Arctic surface air temperatures for 1979-2021 newly reconstructed with deep learning metho...
Abstract Evaluating historical simulations from global climate models (GCMs) remains an important ex...
The Arctic sea ice is an important indicator of the progress of global warming and climate change. P...
Warming of the Arctic leads to a decrease in sea ice, and the decrease of sea ice, in turn, results ...
Arctic sea ice is one of the key factors closely related to climate change and energy balance. The s...
IPCC AR6 states that the neglect of recent rapid warming in the Arctic generally leads to an underes...
Summary: Arctic amplification metrics: The surface air temperature (SAT) anomalies, trends and vari...
In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are b...
• The average annual surface air temperature anomaly over land north of 60° N for October 2017-Septe...
This animation shows the yearly temperature anomaly over the Arctic region from 1981-82 through 2002...
Historical surface air temperature (SAT) records from 59 Arctic stations north of 64°N show monthly ...
Heterogeneous radiative forcing in mid-latitudes, such as that exerted by aerosols, has been found t...
Reconstructing Arctic temperatures prior to the recent climate changes requires to use indirect indi...
In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are ...
In this study, we examined monthly temperature variation from 1973 to 2008 on grid regions of the ea...
code for :Arctic surface air temperatures for 1979-2021 newly reconstructed with deep learning metho...
Abstract Evaluating historical simulations from global climate models (GCMs) remains an important ex...
The Arctic sea ice is an important indicator of the progress of global warming and climate change. P...
Warming of the Arctic leads to a decrease in sea ice, and the decrease of sea ice, in turn, results ...
Arctic sea ice is one of the key factors closely related to climate change and energy balance. The s...
IPCC AR6 states that the neglect of recent rapid warming in the Arctic generally leads to an underes...
Summary: Arctic amplification metrics: The surface air temperature (SAT) anomalies, trends and vari...
In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are b...
• The average annual surface air temperature anomaly over land north of 60° N for October 2017-Septe...
This animation shows the yearly temperature anomaly over the Arctic region from 1981-82 through 2002...
Historical surface air temperature (SAT) records from 59 Arctic stations north of 64°N show monthly ...
Heterogeneous radiative forcing in mid-latitudes, such as that exerted by aerosols, has been found t...
Reconstructing Arctic temperatures prior to the recent climate changes requires to use indirect indi...
In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are ...
In this study, we examined monthly temperature variation from 1973 to 2008 on grid regions of the ea...
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