We analyzed the change in SIE with respect to PDO index using monthly sea ice concentration (SIC) from National Oceanic and Atmospheric Administration/National Snow and Ice Data Center (NOAA/NSIDC)19. The importance of sea ice variability in AMJ is highlighted by displaying the seasonal auto lead...
N. Monthly Averaged Polar Sea-Ice Concentration (USGS, 1995). International Hydrographic Organization Limits of Oceans and Seas 3rd edn (Imp. Monégasque, 1953). Yan, H. et al. A record of the Southern Oscillation index for the past 2,000 years from precipitation proxies. Nat. Geosci. 4,...
1987. A model for retrieving total sea ice concentration froma spaceborne dual-polarized passive microwave instrument operating near 90 GHz. Int J Rem Sens, 8(10): 1479–1487Svendsen E, Matzler C, Grenfell T C. 1987. A model for retrieving total sea ice concentration from a spaceborne dual...
Fig. 3. Sea ice concentration map from the observed data (upper) and by numerically simulated model (lower): Fig. 3(b) shows the standard deviation of monthly sea ice concentrations over the 19-year averaged fields during the same period. The standard deviation in this case mainly indicates...
Abstract Utilizing the Community Atmosphere Model, version 4, the influence of Arctic sea-ice concentration (SIC) on the extended-range prediction of three simulated cold events (CEs) in East Asia is investigated. Numerical results show that the Arctic SIC is crucial for the extended-range predict...
Data assimilation codes at operational centers are often more complex than, and heavily intertwined with, the physical models. Most of these modeling systems assimilate satellite-derived sea ice concentration, among other ocean properties such as ocean temperature and salinity. Only the ArcIOPS modeling...
Panels (e) and (f) show the monthly mean (solid) relative area (%) of MIZ (sea ice concentration between 15 and 80%) and of pack ice (sea ice concentration greater than 80%) respectively in winter (December–February; blue lines) and summer (June–August; red lines) from the NEMO-...
In this work, we introduce IceNet, a new sea ice prediction system based on deep learning. The system has been trained to forecast the next 6 months of monthly averaged sea ice concentration maps at 25 km resolution, learning from climate simulations covering 1850–2100 and observational data...
This paper describes a global monthly gridded Sea Surface Temperature (SST) and Sea Ice Concentration (SIC) dataset for the period 1000–1849, which can be used as boundary conditions for atmospheric model simulations. The reconstruction is based on existing coarse-resolution annual temperature ensemb...
We found that the impact due to Arctic sea ice loss depends on the level of atmospheric GHG concentration. When the GHG concentration is relatively low (values representative of 1980s), then the impact is moderate over the Sahel. However, when the concentration in GHG is levelled up, then ...