Validation of TOVS Path-P data during SHEBA

被引:19
作者
Schweiger, AJ
Lindsay, RW
Francis, JA
Key, J
Intrieri, JM
Shupe, MD
机构
[1] Univ Washington, Appl Phys Lab, Polar Sci Ctr, Seattle, WA 98109 USA
[2] Rutgers State Univ, Inst Marine & Coastal Sci, New Brunswick, NJ 08903 USA
[3] Univ Wisconsin, NOAA, Natl Environm Satellite Data & Informat Serv, Off Res & Applicat, Madison, WI USA
[4] NOAA, Environm Technol Lab, Boulder, CO USA
[5] Sci & Technol Corp, Hampden Sydney, VA USA
关键词
TOVS; sea ice; validation; atmospheric profiles; cloud cover;
D O I
10.1029/2000JC000453
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
[1] Products from the TIROS-N Operational Vertical Sounder (TOVS) Polar Pathfinder (Path-P) data set are compared with surface measurements and other satellite remote sensing retrievals during the Surface Heat Balance of the Arctic Ocean (SHEBA) field program (October 1997 to September 1998). The comparison provides estimates of Path-P retrieval uncertainties. Results are placed in the context of the natural variability and timescales of variability to allow potential users to judge the applicability of the data set for their purpose. Results show temperature profiles to be accurate within 3 K, total column precipitable water within 2 mm annually, and surface temperature within 3 K. Uncertainties in temperature retrieval are below "within-season'' variability during all times of the year. Uncertainties in water vapor retrieval during winter and summer are slightly below observed variability in those seasons but are well below during spring. Uncertainty in retrieved cloud fraction is highly dependent on the timescale of observations. Cloud fractions from the surface and satellite are well correlated (correlation coefficient > 0.7) at timescales greater than 4 days but show weaker correlation at shorter timescales. Uncertainty in TOVS-retrieved cloud fraction is less than 20% for 5-day averages. In winter, TOVS-retrieved cloud fractions are higher than those reported in standard meteorological observations but match those derived from lidar data. This supports the notion that standard meteorological observations may underestimate cloudiness in winter. Cloud-top temperatures measured from the surface (lidar/radar) are significantly different from those estimated using TOVS and Advanced Very High Resolution Radiometer (AVHRR) radiances, which highlights the fundamental and inherent dissimilarity between these two measurement techniques.
引用
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页数:20
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