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,...
sea ice concentration at every time step,based on the difference between observational and forecast data and on the ratio of observational error to modeled error.The impact and the effectiveness of data assimilation are investigated.Significant improvements to predictions of sea ice extent were obtained...
1987. A model for retrieving total sea ice concentration from a spaceborne dual-polarized passive microwave instrument operating near 90 GHz. International Journal of Remote Sensing, 8(10): 1479-1487Svendsen E, Matzler C, Grenfell T C, 1987. A model for retriev- ing total sea ice ...
To improve the Arctic sea ice forecast skill of the First Institute of Oceanography-Earth System Model (FIO-ESM) climate forecast system, satellite-derived sea ice concentration and sea ice thickness from the Pan-Arctic Ice-Ocean Modeling and Assimilation System (PIOMAS) are assimilated into this ...
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...
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...
The fractional sea ice modifications results in the surface boundary layer routine being called separately for ice and liquid, and weighted based on the fractional sea ice concentration for each grid cell. This study evaluates the impacts of using the fractional sea ice by conducting simulations ...
We present a probabilistic, deep learning sea ice forecasting system, IceNet. The system has been trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps. We show that IceNet advances the range of accurate sea ice ...
The same analysis applied to marginal ice zone fraction (MIZF; Fig.1b, d, f) reveals a different response. There is greater observational uncertainty in ΔMIZF trends than ΔSIA, as the distribution of sea ice concentration is sensitive to the algorithm used to recover ice concentration from...