Multisensor Advanced Climatology (MAC) Daily Ocean-Only Column Water Vapor, Cloud Liquid Water Path, and Total Liquid Water Path

Daily-averaged Multisensor Advanced Climatology (MAC) over-ocean column integrated water vapor (variable 'wvp'), cloud liquid water path (variable 'clwp'), and total liquid (cloud+rain) water path (variable 'tlwp') produced using the MAC-LWP algorithm (Elsaesser et al., 2017, J. Climate), where this algorithm is applied to the multi-sensor satellite data to yield daily resolution data instead of monthly resolution data as in Elsaesser et al. (2017). Publications utilizing the daily data can be found by searching for papers that cite Elsaesser et al. (2017). Available for 1 deg over-ocean gridboxes, from 1998 - 2016. Data in gridboxes over land are set to missing. Uncertainty estimates also provided, following Elsaesser et al. (2017). Reference: Elsaesser, G.S., C.W. O'Dell, M.D. Lebsock, R. Bennartz, and T.J. Greenwald, 2017: The Multi-Sensor Advanced Climatology of Liquid Water Path (MAC-LWP). J. Climate, 30, no. 24, 10193-10210, doi:10.1175/JCLI-D-16-0902.1.本数据集为针对多传感器卫星数据、采用MAC-LWP算法生成的逐日平均海洋多传感器高级气候学（Multisensor Advanced Climatology，MAC）数据，包含柱积分水汽（变量名'wvp'）、云液态水路径（变量名'clwp'）以及总液态（云+降雨）水路径（变量名'tlwp'）三类变量。该算法源自Elsaesser等人2017年发表于《气候杂志》（J. Climate）的研究，与原研究的月分辨率输出不同，本研究对算法进行了适配，可生成逐日分辨率数据。 利用该逐日数据集开展的相关研究成果，可通过检索引用Elsaesser等人2017年文献的论文获取。 本数据集覆盖1998年至2016年的1°分辨率海洋网格单元，陆地区域网格单元的数据均设为缺失值。同时参考Elsaesser等人2017年的研究方法，本数据集还提供了不确定性估计结果。 参考文献： Elsaesser, G.S.、C.W. O'Dell、M.D. Lebsock、R. Bennartz 及 T.J. Greenwald，2017：液态水路径多传感器高级气候学数据集（MAC-LWP）. 《气候杂志》，30卷，第24期，第10193-10210页，DOI:10.1175/JCLI-D-16-0902.1.