Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems

被引:43
作者
Posey, P. G. [1 ]
Metzger, E. J. [1 ]
Wallcraft, A. J. [1 ]
Hebert, D. A. [1 ]
Allard, R. A. [1 ]
Smedstad, O. M. [2 ]
Phelps, M. W. [3 ]
Fetterer, F. [4 ]
Stewart, J. S. [5 ]
Meier, W. N. [6 ]
Helfrich, S. R. [7 ]
机构
[1] Naval Res Lab, Stennis Space Ctr, MS 39529 USA
[2] Vencore Serv & Solut Inc, Stennis Space Ctr, MS USA
[3] Jacobs Technol Inc, Stennis Space Ctr, MS USA
[4] Natl Snow & Ice Data Ctr, Boulder, CO USA
[5] J Scott Stewart Exploratory Thinking, Longmont, CO USA
[6] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[7] US Natl Ice Ctr, Suitland, MD USA
关键词
D O I
10.5194/tc-9-1735-2015
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This study presents the improvement in ice edge error within the US Navy's operational sea ice forecast systems gained by assimilating high horizontal resolution satellite-derived ice concentration products. Since the late 1980's, the ice forecast systems have assimilated near real-time sea ice concentration derived from the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSMI and then SSMIS). The resolution of the satellite-derived product was approximately the same as the previous operational ice forecast system (25 km). As the sea ice forecast model resolution increased over time, the need for higher horizontal resolution observational data grew. In 2013, a new Navy sea ice forecast system (Arctic Cap Nowcast/Forecast System ACNFS) went into operations with a horizontal resolution of similar to 3.5 km at the North Pole. A method of blending ice concentration observations from the Advanced Microwave Scanning Radiometer (AMSR2) along with a sea ice mask produced by the National Ice Center (NIC) has been developed, resulting in an ice concentration product with very high spatial resolution. In this study, ACNFS was initialized with this newly developed high resolution blended ice concentration product. The daily ice edge locations from model hindcast simulations were compared against independent observed ice edge locations. ACNFS initialized using the high resolution blended ice concentration data product decreased predicted ice edge location error compared to the operational system that only assimilated SSMIS data. A second evaluation assimilating the new blended sea ice concentration product into the pre-operational Navy Global Ocean Forecast System 3.1 also showed a substantial improvement in ice edge location over a system using the SSMIS sea ice concentration product alone. This paper describes the technique used to create the blended sea ice concentration product and the significant improvements in ice edge forecasting in both of the Navy's sea ice forecasting systems.
引用
收藏
页码:1735 / 1745
页数:11
相关论文
共 22 条
[1]  
[Anonymous], INT ARCH PHOTOGRAM 8
[2]   Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea [J].
Beitsch, Alexander ;
Kaleschke, Lars ;
Kern, Stefan .
REMOTE SENSING, 2014, 6 (05) :3841-3856
[3]  
CAMPBELL WJ, 1980, BOUND-LAY METEOROL, V13, P99
[4]   INVESTIGATION OF THE EFFECTS OF SUMMER MELT ON THE CALCULATION OF SEA ICE CONCENTRATION USING ACTIVE AND PASSIVE MICROWAVE DATA [J].
CAVALIERI, DJ ;
BURNS, BA ;
ONSTOTT, RG .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1990, 95 (C4) :5359-5369
[5]   Trends in the sea ice cover using enhanced and compatible AMSR-E, SSM/I, and SMMR data [J].
Comiso, Josefino C. ;
Nishio, Fumihiko .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2008, 113 (C2)
[6]   Ocean Data Impacts in Global HYCOM [J].
Cummings, James A. ;
Smedstad, Ole Martin .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2014, 31 (08) :1771-1791
[7]  
Fetterer F., 2015, MASAM2: Daily 4-Km Arctic Sea Ice Concentration
[8]  
Fetterer F., 2002, SEA ICE INDEX
[9]  
Fetterer F., 2010, MULTISENSOR ANAL SEA
[10]  
Gloersen P., 1978, Boundary-Layer Meteorology, V13, P339, DOI 10.1007/BF00913881