W. Brief communication: solar radiation management not as effective as CO2 mitigation for Arctic sea ice loss in hitting the 1.5 and 2 °C COP climate targets. Cryosphere 12, 3355–3360 (2018). Stroeve, J. C. et al. Trends in Arctic sea ice extent from CMIP5, CMIP3 and ...
The snow cover extent between May and June has decreased by 21% over the 1971–2019 period1; this is a percent loss rate greater than the loss of sea ice in September. Both rainfall and snow dynamics are among the key factors driving soil moisture availability that, at the same time, ...
August 2024 July Arctic sea ice area has been stable for 17 years. Nothing is melting anymore. Hat-tip: Snowfan here. Image: DMI Arctic Plots Sea Ice Extent The National Snow And Ice Data center (NSIDC) analysis of August 4, 2024 shows that the Arctic sea ice extent in July 2024 ...
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While many models have been used to study the predictability of climate variables, their performance in predicting sea ice was not well assessed. This study examines the predictability of the Arctic sea ice extent from ensemble prediction systems. The analysis is focused on verification of ...
Previous research revealed that the observed downward trend in September ice extent exceeded simulated trends from most models participating in the World Climate Research Programme Coupled Model Intercomparison Project Phase 3 (CMIP3). We show here that as a group, simulated trends from the models ...
(覆盖面积) for the year 2012,setting a record for the lowest summer cover since satellite data collection began.The sea ice extent has fallen to 3.41 million sq km on 18 September-50% lowerthan the 1979-2000 average.On August 26, sea ice extent fell to 4.10 million sq km, breaking the...
Observational evidence of substantial changes in the ice cover has been found recently using data from satellites and submarines. Satellite-borne microwave sensor data analyses have established a 3% per decade decrease in the spatial extent of the Arctic ice cover in the past 20 years. Moreover, ...
A pilot experiment raises the possibility that such a leveraging-involving-visualizing-analogizing message structure can increase acceptance of the scientific claims about the downward cross-decade trend in Arctic sea ice extent and elicit inferences consistent with the scientific consensus on climate ...
[1] How well can the extent of arctic sea ice be predicted for lead periods of up to one year? The forecast ability of a linear empirical model is explored. It uses as predictors historical information about the ocean and ice obtained from an ice–ocean model retrospective analysis. The mo...