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...
Sea ice concentration plays a fundamental role in the exchange of water and energy between the ocean and the atmosphere. Global real-time datasets of sea ice concentration are based on satellite observations, which do not necessarily resolve small-scale patterns or coastal features. In this study,...
Therefore, a neural network function approximation system could model, and hence predict, these changes efficiently when trained, using multiple-year ice concentration readings. Initially, the training was done in the batch mode. However, this was found inefficient when abrupt changes in the values ...
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...
The National Ice Center relies upon a coupled ice ocean model called the Polar Ice Prediction System (PIPS) to provide guidance for its 24–120–h sea ice forecasts. Here forecast skill assessments of the sea ice concentration (C) fields from PIPS for the period I May 2000–31 May 2002 ...
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...
This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through through most recent processing for both the north and south polar regions on a ...
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...
In contrast, quantities such as sea ice concentration or the location of the ice edge retain high levels of predictability throughout the full 10-day forecast period. It is argued that the rapid error growth for LKFs is mainly due to the chaotic behaviour of the atmosphere associated with the...