期刊文献+

Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study 被引量:5

Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study
下载PDF
导出
摘要 A regional Arctic configuration of the Massachusetts Institute of Technology general circulation model (MIT-gcm) is used as the coupled ice-ocean model for forecasting sea ice conditions in the Arctic Ocean at the Na-tional Marine Environmental Forecasting Center of China (NMEFC), and the numerical weather prediction from the National Center for Environmental Prediction Global Forecast System (NCEP GFS) is used as the atmospheric forcing. To improve the sea ice forecasting, a recently developed Polar Weather Research and Forecasting model (Polar WRF) model prediction is also tested as the atmospheric forcing. Their forecasting performances are evaluated with two different satellite-derived sea ice concentration products as initializa-tions: (1) the Special Sensor Microwave Imager/Sounder (SSMIS) and (2) the Advanced Microwave Scanning Radiometer for EOS (AMSR-E). Three synoptic cases, which represent the typical atmospheric circulations over the Arctic Ocean in summer 2010, are selected to carry out the Arctic sea ice numerical forecasting experiments. The evaluations suggest that the forecasts of sea ice concentrations using the Polar WRF atmo-spheric forcing show some improvements as compared with that of the NCEP GFS. A regional Arctic configuration of the Massachusetts Institute of Technology general circulation model (MIT-gcm) is used as the coupled ice-ocean model for forecasting sea ice conditions in the Arctic Ocean at the Na-tional Marine Environmental Forecasting Center of China (NMEFC), and the numerical weather prediction from the National Center for Environmental Prediction Global Forecast System (NCEP GFS) is used as the atmospheric forcing. To improve the sea ice forecasting, a recently developed Polar Weather Research and Forecasting model (Polar WRF) model prediction is also tested as the atmospheric forcing. Their forecasting performances are evaluated with two different satellite-derived sea ice concentration products as initializa-tions: (1) the Special Sensor Microwave Imager/Sounder (SSMIS) and (2) the Advanced Microwave Scanning Radiometer for EOS (AMSR-E). Three synoptic cases, which represent the typical atmospheric circulations over the Arctic Ocean in summer 2010, are selected to carry out the Arctic sea ice numerical forecasting experiments. The evaluations suggest that the forecasts of sea ice concentrations using the Polar WRF atmo-spheric forcing show some improvements as compared with that of the NCEP GFS.
出处 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2014年第12期15-23,共9页 海洋学报(英文版)
基金 The Ocean Public Welfare Project of China under contract No.201205007 the National Natural Science Foundation of China under contract Nos 41176169,41376005,41376188 and 41106165
关键词 Arctic Ocean seaice concentration FORECAST Arctic Ocean, seaice concentration, forecast
  • 相关文献

参考文献2

二级参考文献35

  • 1Adcroft A,Campin J M,Hill C,et al.2004.Implementation of an atmosphere-ocean general circulation model on the expanded spherical cube[J].Mon.Wea.Rev.,132 (12):2845-2863.
  • 2Bertino L,Lisaeter K A.2008.The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans[J]J.Oper.Oceanogr.,1(2):15-18.
  • 3Bryan K,Lewis L J.1979.A water mass model of the world ocean[J].J.Geophys.Res.,4:2503-2517.
  • 4Comiso J C,Parkinson C L,Gersten R,et al.2008.Accelerated decline in the Arctic sea ice cover[J].Geophys.Res.Lett.,35,L01703,doi:10.1029/2007GL031972.
  • 5Cressmann G P.1959.An operational objective analysis system[J].Mort.Wea.Rev.,87:367-374.
  • 6Heimbach P,Menemenlis D,Losch M,et al.2010.On the formulation of sea-ice models.Part 2..Lessons from multi-year adjoint sea-ice export sensitivities through the Canadian Arctic Archipelago[J].Ocean Model.,33:145-158.
  • 7Hollingsworth A,Arpe K,Tiedtke M,et al.1980.The performance of a medium-range forecast model in winter-Impact of physical parameterizations[J].Mon.Wea.Rev.,108:1736-1773.
  • 8Hunke E C.2001.Viscous-plastic sea ice dynamics with the EVP model:Linearization issues[J].J.Comput.Phys.,170:18-38.
  • 9Kalnay E,Kanamitsu M,Kistler R,et al.1996.The NCEP/NCAR 40-year reanalysis project[J].Bull.Amer.Meteor.Soc.,77,437-471.
  • 10Lammers R B,Shiklomanov A I,Vorosmarty C J,et al.2001.Assessment of contemporary Arctic river runoff based on observational discharge records[J].J.Gcophys.Res.,106 (134):3321-3334.

共引文献15

同被引文献46

引证文献5

二级引证文献49

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部