Sea Ice Monitoring and Prediction in Japan Meteorological Agency April 2003 Office of Marine Prediction Climate and Marine Department Japan Meteorological.

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Sea Ice Monitoring and Prediction in Japan Meteorological Agency April 2003 Office of Marine Prediction Climate and Marine Department Japan Meteorological Agency

Data Flow of Sea Ice Monitoring in JMA GMS NOAA DMSP SSM/I Coastal RADAR Coastal Observation Aircraft Observation Meteorological Satellite Center NOAA NESDIS Wakkanai, Kitamiesashi, Mombetsu, Abashiri, Nemuro, Kushiro Marine/Land Defense Force, Japan Coast Guard Hokkaido University Sea Ice Section Japan Meteorological Agency Sea Ice Analysis Sea Ice Forecast Sapporo District Observatory Hakodate Marine Observatory Users Fishery Sight Seeing Other Nations

Numerical Sea Ice Model Area ; Southwest edge is located 42N, 140E. Number of the grid ; 71*71. Resolution ; 12.5km Parameters SST ; Analyzed by NOAA AVHRR (MCSST method), and GMS Sea Surface Current ; statistical value Weather Prediction data ; RSM(Regional Spectral Model) and GSM(Global Spectral Model) 6hourly Equipment 3500/E540PS HITACHI

Sea Ice Monitoring System in JMA(Future Plan) Satellite Observation GMS , NOAA Near Real Time Global Sea Ice Data Forecast of Sea Ice Conditions of Whole Okhotsk Forecast of Sea Ice Conditions near Hokkaido Boundary condition of Climate Prediction Model and Weather Prediction Model Sea Ice Information Near Hokkaido, Okhotsk and, Global Statistical Data Arcive Users Web in JMA Data Acquisition Whole Okhotsk ModelCoastal Sea Ice Model Sea Ice Analysis in the Coastal Area of Hokkaido Sea Ice Analysis in the Sea of Okhotsk Global Analysis Observation by Aircraft Ship DMSP RADARSAT ADEOS- Ⅱ Coastal Observation

RADARSAT Data Utilization 1. Purpose S ea Ice Analysis in detail in the Sea of Okhotsk For the appropriate initial data for Coastal Sea Ice Model and Whole Okhotsk Model Estimation of Sea Ice Thickness ( if possible ) Estimation of Sea Surface Current ( if possible ) 2. Requirement in JMA to for RADARSAT data Every 5 day’s data Ascending and Descending ScanSAR Wide mode 4 Scenes a day from December to May In a year, about 150 scenes are necessary for sea ice monitoring.

Process of Making the initial data for Sea Ice Model Numerical Sea Ice Model Numerical Weather Prediction Sea Surface Temperature Sea Surface Current Initial Data Sea Ice Concentration/Extent Sea Ice Thickness Forecast Data Sea Ice Concentration/Extent Sea Ice Thickness Analysis At the first time of running the model, sea ice thickness is determined 20cm. Feedback