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Preliminary validation of the GLI cryosphere algorithms with MODIS daytime data

机译:使用mODIs日间数据初步验证GLI冰冻圈算法

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摘要

Preliminary validation of the two GLI cryosphere algorithms is conducted by applying them to MODIS daytime data on June 18,2000. One of the algorithms has been developed for the discrimination of cloud/clear and snow/sea-ice, and the other for the retrievals of snow grain size and mass fraction of impurities mixed in snow. Analysis results show that cloudy areas around the northern polar region are successfully discriminated from areas under clear condition with various surface types such as snow, open ocean and bare land. Reasonable spatial distributions of snow grain size and mass fraction of impurities around the North Pole are also successfully retrieved in the range from nearly 0.0 to over 5000μm for snow grain size and 0.0-0.2 ppmw for snow impurities. Finally, possible sources of error in the retrieved parameters and remaining development points on the present version of the GLI algorithms to be improved for future advances are discussed.
机译:两种GLI冰冻圈算法的初步验证是通过将它们应用于2000年6月18日的MODIS白天数据来进行的。已经开发出一种算法来区分云/晴和雪/海冰,另一种算法用于检索雪粒大小和雪中混合杂质的质量分数。分析结果表明,可以将北极地区周围的多云地区与清晰条件下具有清晰表面条件的区域成功地区分开,这些地区包括雪,开阔的海洋和裸露的土地。北极周围的雪粒尺寸和杂质质量分数的合理空间分布也已成功获得,雪粒尺寸在近0.0至超过5000μm的范围内,雪杂质在0.0-0.2 ppmw的范围内。最后,讨论了可能改进的GLI算法当前版本中检索到的参数和其余开发点中的错误,以供将来使用。

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