新的方法使用AI来协调卫星数据,提高气候研究的海洋颜色精确度。 New method uses AI to align satellite data, improving ocean color accuracy for climate studies.

科学家创立了一种名为跨卫星大气校正(CSCC)的新方法,以提高各种卫星提供的海洋颜色数据的准确性。 Scientists have created a new method called Cross-Satellite Atmospheric Correction (CSAC) to improve the accuracy of ocean color data from various satellites. 通过对来自不同卫星的数据加以统一,使之与MODIS-Aqua的高质量标准相匹配,CSAC利用人工情报来减少不一致之处,并建立可靠的海洋生物光学特性长期记录。 By aligning data from different satellites to match the high-quality standards of MODIS-Aqua, CSAC uses artificial intelligence to reduce inconsistencies and create reliable long-term records of ocean bio-optical properties. 这一进步对研究气候变化对海洋的影响至关重要。 This advancement is crucial for studying climate change impacts on oceans.