GLOBAL 10-YEAR MEAN MONTHLY CLIMATOLOGY, 1901-1990 (NEW ET AL.)

This is a data set of 10-year mean monthly surface climate data over global land areas, excluding Antarctica, for the period 1901-1990. The data set is gridded at 0.5 degree latitude/longitude resolution and includes seven variables: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapour pressure, cloud cover, and ground-frost frequency. In constructing the monthly grids the authors used an anomaly approach which attempts to maximize station data in space and time (New et al., 2000). In this technique, grids of monthly historic anomalies are derived relative to a standard normal period. Station measurement data for the years 1961-1990, extracted from the monthly data holdings of the Climatic Research Unit and the Global Historic Climatology Network (GHCN), served as the normal period (New et al., 1999). The anomaly grids were then combined with high-resolution mean monthly climatology to arrive at fields of estimated historical monthly surface climate. Data users are encouraged to see the companion file New et al.(2000) for a complete description of this technique and potential applications and limitations of the data set. For additional information, refer to the IPCC Data Distribution Centre.

本数据集涵盖1901-1990年间全球陆地区域（南极洲除外）的十年平均月度地表气候数据。该数据集采用0.5度经纬度的网格分辨率，包含7项变量：降水量、平均气温、气温日较差、湿日频率、水汽压、云量以及地面霜日频率。在构建月度网格时，研究团队采用了气候距平方法，该方法旨在最大化时空维度上的台站数据利用率（New等，2000）。该方法以标准基准期为参照生成月度历史气候距平网格，所用基准期的台站观测数据取自1961-1990年，提取自气候研究单位（Climatic Research Unit）与全球历史气候学网络（Global Historic Climatology Network, GHCN）的月度数据集馆藏（New等，1999）。随后将气候距平网格与高分辨率月度平均气候态数据进行融合，最终得到经估算的历史月度地表气候场。建议数据使用者参阅New等人2000年的配套文档，以获取该方法的完整说明以及本数据集的潜在应用场景与局限性。如需获取更多信息，请查阅政府间气候变化专门委员会数据分发中心（IPCC Data Distribution Centre）。