Software Design Document For The Polar Ice Prediction System Version 2 0
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Software Design Document for the Polar Ice Prediction System Version 2. 0
Since 1987, the Fleet Numerical Meteorology and Oceanography Center (FNMOC) has been running sea ice forecasting systems in various regions of Navy interest (the Central Arctic, the Barents Sea, and the Greenland Sea). The Polar Ice Prediction System (PIPS1.1) predicts sea ice conditions in the Arctic basin, the Barents Sea, and the Greenland Sea at a resolution of 127 km. Two regional sea ice forecasting systems, the Polar Ice Prediction System - Barents Sea (RPIPS-B) and the Polar Ice Prediction System - Greenland Sea (RPIPS-G), also predict sea ice conditions in the Barents and Greenland Seas, respectively, at a higher resolution of 20-25 km. In 1995, the Naval Research Laboratory delivered to FNMOC a coupled ice-ocean system, the Polar Ice Prediction System 2.0 (PIPS2. 0), which predicts sea ice conditions of most of the ice-covered regions in the Northern Hemisphere. PIPS2.0 will replace the three existing operational forecast systems when it completes the final operational testing phase at FNMOC. PIPS2.0 uses as its basis the Hibler ice model and the Cox ocean model. PIPS2.0 has a resolution of approximately a quarter of a degree, which is similar to the resolution of the operational regional systems (RPIPS-B and RPIPS-G). This report briefly describes the main program and each of its subroutines.
Demonstrating Observation Impacts for the Ocean and Coupled Prediction
Capabilities in ocean data assimilation developed over a decade-long project called the Global Ocean Data Assimilation Experiment (GODAE). By the end of GODAE, many countries had established operational ocean forecast systems and mature ocean reanalysis systems. These developments further improved under OceanPredict and are now being extended under several Programs and Projects under the United Nations Ocean Decade, including ForeSea, SynObs, and CoastPredict. This Research Topic is intended to showcase the activities being performed under these projects – all of which share a common goal of predicting our environment to benefit society.