IO_Multivariate_Reconstructed_SL_F1900T2013.mat

Sea-Level data has been reconstructed for the Indian Ocean using a new multivariate CSEOF reconstruction technique for the period 1900-2013. This dataset is created using sea surface temperature and sea level pressure in addition to sea level data (to help overcome sparse spatio-temporal tide gauge sampling) and consists of improved 20^th century reconstructed sea level estimates for the Indian Ocean. <br>This is a .mat structure file (Rcon) created using Matlab. Under the Rcon structure, there are four variables:sla ==&gt; Reconstructed sea level anomaly. [Units: Meters].lat ==&gt; Latitude. [Resolution: 0.5 degrees].lon ==&gt; Longitude.[Resolution: 0.5 degrees].t ==&gt; Time. [Resolution: Monthly].*** NOTE:Due to the 12 month fitting window of the CSEOF basis functions, data (sla) for the first 6 months and last 6 months are absent.<br><br>

本数据集针对1900-2013年时段的印度洋海平面数据，采用新型多变量复经验正交函数（CSEOF）重构技术完成了海平面数据的重建工作。该数据集除海平面数据外，还融合了海表温度与海平面气压数据，以解决验潮站时空采样稀疏的问题，并包含经过优化改进的20世纪印度洋海平面重构估算结果。
本数据集为采用Matlab生成的.mat格式结构文件（命名为Rcon）。在Rcon结构中包含四个变量：sla：重构海平面异常，单位：米；lat：纬度，分辨率：0.5度；lon：经度，分辨率：0.5度；t：时间，分辨率：月度。
*** 注意：由于CSEOF基函数采用12个月的拟合窗口，数据集前6个月与后6个月的海平面异常（sla）数据均缺失。