Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR data
Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR data
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DOI：
10.1080/01431160151144350
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发表时间：
2001-05-10
影响因子：
3.4
通讯作者：
Sapper, J
中科院分区：
文献类型：
--
作者：
Li, X;Pichel, W;Sapper, J
NOAA/NESDIS正在使用一个交互式验证监测系统，以验证NOAA-12和NOAA-14极轨道卫星高级甚高分辨率辐射计传感器为NOAA卫星监测方案提供的海面温度。1997年，我们每隔一个月验证一次墨西哥湾、美国东南部和美国东北部沿海地区的SST和五大湖的湖面温度。24个NOAA系泊浮标测量的现场温度被用作地面数据。除五大湖白天使用线性多通道SST（MCSST）算法外，所有AVHRR SST估计均使用非线性SST（NLSST）算法。在太空中的一个图像像素内进行了卫星配对（最低点1.1公里）和+/-1小时的时间。对于NOAA-12卫星，（墨西哥湾，美国东南部和东北部）显示，卫星和浮标表面温度（偏差）之间的平均温差白天约为0.4摄氏度，夜间约为0.2摄氏度。标准偏差约为1.0 ℃。五大湖验证结果显示，白天的偏差小于0.3 ℃。然而，由于清晨雾的情况下，在夏季的五大湖地区，NLSST夜间算法产生了相当大的偏差约1.5 degreesC。同样的统计数据计算的NOAA-14卫星测量。对于沿海地区，偏差小于0.2摄氏度，标准差约为1.0摄氏度。对于五大湖地区，偏差约为0.4 degreesC为白天和夜晚的标准差约为1.0 degreesC。我们的研究还表明，NLSST算法提供了相同的顺序SST精度在所有研究区域和广泛的环境条件下。
An interactive validation monitoring system is being used at the NOAA/NESDIS to validate the sea surface temperature (SST) derived from the NOAA-12 and NOAA-14 polar orbiting satellite AVHRR sensors for the NOAA CoastWatch program. In 1997, we validated the SST in coastal regions of the Gulf of Mexico, Southeast US and Northeast US and the lake surface temperatures in the Great Lakes every other month. The in situ temperatures measured by 24 NOAA moored buoys were used as ground data. The non-linear SST (NLSST) algorithm was used for all AVHRR SST estimations except during the day in the Great Lakes where the linear multichannel SST (MCSST) algorithm was used. The buoy-satellite matchups were made within one image pixel in space (1.1 km at nadir) and +/-1 h in time.For the NOAA-12 satellite, the validation results for the three coastal regions (Gulf of Mexico, Southeast US and Northeast US) showed that the mean temperature difference between satellite and buoy surface temperature (bias) was about 0.4 degreesC during the day and 0.2 degreesC at night. The standard deviation was about 1.0 degreesC. Great Lakes validation results showed a bias less than 0.3 degreesC during the day. However, due to the early morning fog situation in the summer months in the Great Lakes region, the NLSST night algorithm yielded a fairly large bias of about 1.5 degreesC.The same statistics were computed for the NOAA-14 satellite measurements. For the coastal regions, the bias was less than 0.2 degreesC with a standard deviation about 1.0 degreesC. For the Great Lakes region, the bias was about 0.4 degreesC for both day and night with a standard deviation about 1.0 degreesC.Our study also showed that the NLSST algorithm provides the same order of SST accuracy over all study regions and under a wide range of environmental conditions.