全球历史海面温度、海面风场等海洋要素模式数据集（1990-2018）

一个具有完整全球海洋覆盖范围的网格化海洋温度数据集是了解气候变化和气候变异性的一个非常有价值的资源。大气物理研究所（iap）通过若干创新步骤，对1990年以来2000米高空的历史海洋地下温度进行了新的客观分析。第一种方法是使用一组更新的过去的观察结果，这些新的观测结果已经被纠正了偏差（例如，在地震中）。XBT偏置校正CH14方案，XBT社区推荐。第二个是在海洋中不同地方的值之间使用协变性和来自包括一个全面海洋模型的若干气候模型的背景信息。第三个是扩大每个观测对较大区域的影响，认识到南大洋广阔开放的广阔空间的相对同质性。然后，这些观测也被用来提供更精细的尺度细节。最后，通过使用最近观测到的海洋状态的知识仔细地评估了新的分析，但是使用更遥远的过去的观测的稀疏分布进行次采样，以表明该方法产生无偏的历史重建。
海面风场数据集使用RSS第7版微波辐射计风速数据构建。输入的微波数据由遥感系统处理，资金来自美国宇航局测量计划和美国宇航局地球科学物理海洋学计划。 该风速产品用于气候研究，因为输入数据经过了仔细的相互校准和一致的处理。每个netCDF文件包含： 1）风速月平均值，网格尺寸360x180x自1988年1月以来所有月份的数量（随时间增加）； 2）一组12个月的气候学风速，网格大小为360x180，气候学是1988-2007年20年期间计算的平均值； 3）从1988年1月以来360x180x#个月的月平均数减去上述气候图得出的风速月异常（随时间增加）； 4）风速趋势图，网格尺寸360x180，趋势计算时间为1988-01-01至最近完整日历年；5）时间纬度图（有效数据至少需要10%的纬度单元），网格尺寸为自1988年1月起180 x#个月（随时间增加）

A gridded ocean temperature dataset with complete global ocean coverage is an invaluable resource for understanding climate change and climate variability. The Institute of Atmospheric Physics (iap) has conducted a new objective analysis of historical subsurface ocean temperatures down to 2000 meters depth since 1990 through several innovative steps. The first step involves using an updated set of historical observations that have undergone bias correction (e.g., XBT bias correction using the CH14 scheme recommended by the XBT community). The second step is to incorporate covariance between values at different ocean locations and background information from several climate models, including a comprehensive ocean model. The third step is to extend the influence of each observation to a larger area, recognizing the relative homogeneity of the vast open spaces in the Southern Ocean; these observations are also used to provide finer-scale details. Finally, the new analysis is carefully evaluated using knowledge of recently observed ocean states, and subsampled using the sparse distribution of observations from the more distant past to demonstrate that the method produces unbiased historical reconstructions.

The sea surface wind field dataset is constructed using RSS Version 7 microwave radiometer wind speed data. The input microwave data are processed by Remote Sensing Systems (RSS), funded by the NASA Measurement Program and the NASA Earth Science Physical Oceanography Program. This wind speed product is suitable for climate research because the input data have undergone careful inter-calibration and consistent processing. Each netCDF file contains: 1) Monthly mean wind speeds with a grid size of 360x180xN (where N is the number of months since January 1988, increasing over time); 2) A set of 12-month climatological wind speeds with a grid size of 360x180, where the climatology is the average calculated over the 20-year period from 1988 to 2007; 3) Monthly wind speed anomalies derived by subtracting the above climatology from the monthly means (360x180xN, N being the number of months since January 1988, increasing over time); 4) Wind speed trend maps with a grid size of 360x180, where trends are calculated from January 1, 1988 to the most recent complete calendar year; 5) Time-latitude maps (requiring at least 10% of latitude cells to have valid data) with a grid size of 180xN (N being the number of months since January 1988, increasing over time).