2002-2019年全球海表温度数据集

本数据集首先基于一维海洋混合层模型建立了不同气象条件下的海洋温度时间和深度校正模型，继而以MODIS海表温度数据为基础并结合多源海表温度数据分区域建立了海表温度空间重构模型，在此基础上生成了一套具有全时空覆盖和高空间分辨率的2002-2019年逐月全球海表温度产品。数据集有效地克服了过去多云条件下重建真实海洋温度的局限性和不同数据的时相和采样深度不一致的问题，实现了良好的时空覆盖，经验证具有较高的可靠性和准确性，可用于中尺度的海洋现象分析。数据集空间分辨率为0.041度，数据单位为摄氏度。Firstly, this dataset constructs a temporal and depth correction model for ocean temperatures under diverse meteorological conditions using the one-dimensional ocean mixed layer model. Subsequently, it develops a spatial reconstruction model for sea surface temperature (SST) by partitioning regional domains with MODIS sea surface temperature data and multi-source sea surface temperature datasets as foundations. On this basis, it generates a global monthly sea surface temperature product with full spatio-temporal coverage and high spatial resolution spanning from 2002 to 2019. This dataset effectively addresses the limitations of reconstructing realistic ocean temperatures under cloudy conditions in prior studies, as well as the inconsistencies in temporal phases and sampling depths across different datasets. It achieves excellent spatio-temporal coverage, has been validated to possess high reliability and accuracy, and can be utilized for the analysis of mesoscale oceanographic phenomena. The spatial resolution of this dataset is 0.041 degrees, and the data unit is degrees Celsius.

搜集汇总

背景与挑战

背景概述

该数据集是基于MODIS和多源海表温度数据，通过建立时间和深度校正模型及空间重构模型生成的2002-2019年逐月全球海表温度产品，具有0.041度的高空间分辨率和全时空覆盖，有效克服了多云条件和数据不一致问题，经验证可靠准确，适用于中尺度海洋现象分析。数据集存储量为9.55GB，覆盖全球范围，采用公开共享方式，使用CC BY-NC 4.0许可协议。