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ARISE (Antarctic Remote Ice Sensing Experiment) in the East 2003: Validation of satellite-derived sea-ice data products.

机译:2003年东部的aRIsE(南极远程冰感实验):卫星衍生的海冰数据产品的验证。

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摘要

Preliminary results are presented from the first validation of geophysical dataproducts (ice concentration, snow thickness on sea ice ( ) and ice temperature ( ) fromthe NASA EOS Aqua AMSR-E sensor, in East Antarctica (in September-October 2003). Thechallenge of collecting sufficient measurements with which to adequately validate thecoarse-resolution AMSR-E data products was addressed by means of a hierarchicalapproach, using detailed in situ measurements, digital aerial photography and other satellitedata. Initial results indicate that, at least under cold conditions with a dry snowcover, thereis a reasonably close agreement between satellite- and aerial photo-derived iceconcentrations i.e., 97.2 ±3.6% for NT2 and 96.5 ±2.5% for BBA algorithms versus 94.3±10% for the aerial photos. In general, the AMSR-E concentration represents a slightoverestimate of the actual concentration, with the largest discrepancies occurring in regionscontaining a relatively high proportion of thin ice. Although the AMSR-E concentrations fromthe NT2 and BBA algorithms are similar on average, differences of >5% occur on a point-by-point basis, again related to thin ice distribution. The AMSR-E ice temperature ( ) productagrees with coincident surface measurements to within approximately 0.5o C. Regardingsnow thickness, the AMSR retrieval is a significant underestimate compared to in situmeasurements weighted by the percentage of thin ice (and open water) present. For thecase study analysed, the underestimate was 46% for the overall average, but 23%compared to smooth ice measurements. An encouraging factor is that the spatialdistribution of the AMSR-E product follows an expected and consistent spatial pattern,suggesting that the observed difference may be an offset (at least under freezingconditions). Areas of discrepancy are identified, and the need for future work highlighted.
机译:初步结果来自首次验证的地球物理数据产品(冰浓度,海冰上的积雪厚度()和冰温度(),来自南极东部的NASA EOS Aqua AMSR-E传感器(2003年9月至10月)。通过分层方法,使用详细的原位测量,数字航空摄影和其他卫星数据,通过分层方法解决了足以充分验证粗分辨率AMSR-E数据产品的足够测量,初步结果表明,至少在寒冷的条件下,有干燥的积雪,卫星和空中照片中的冰浓度之间存在相当接近的一致,即NT2为97.2±3.6%,BBA算法为96.5±2.5%,而航空照片为94.3±10%。实际浓度略有高估,最大的差异发生在包含相对较高比例的稀冰的区域。尽管NT2和BBA算法的AMSR-E浓度平均相似,但逐点差异大于5%,这又与稀冰分布有关。 AMSR-E的冰温()与同时进行的表面测量值相吻合,大约在0.5o C以内。关于雪的厚度,与现场测量相比,AMSR的取回量被低估了很多,而原位测量的结果是以稀薄的冰(和开水)的百分比加权的。对于分析的案例研究,总体平均水平的低估率为46%,但与冰面测量相比则为23%。一个令人鼓舞的因素是,AMSR-E产品的空间分布遵循预期且一致的空间格局,这表明观察到的差异可能是抵消的(至少在冻结条件下)。确定差异的领域,并强调对未来工作的需求。

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