An improved method of constructing a database of monthly climate observations and associated high-resolution grids

An improved method of constructing a database of monthly climate observations and associated high-resolution grids
复制标题

DOI:
10.1002/joc.1181
复制
发表时间:
2005-05-01
期刊:
INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子:
--
通讯作者:
Jones, PD
Jones, PD
中科院分区:
其他
文献类型:
--
作者:
Mitchell, TD;Jones, PD

文献摘要

被引文献

相似文献

建立了一个气象站月气候观测数据库。该数据库包括六个气候要素,覆盖全球陆地表面。使用自动化方法检查数据库中的站点记录的不均匀性,该方法通过使用不完整和部分重叠的记录以及通过检测不同季节中具有相反符号的不均匀性来改进以前的方法。该方法包括利用邻近台站编制参考系列。来自不同来源的关于一个台站的信息可以使用一个参考序列加以合并,即使没有重叠的时段。因此,可以获得更长的站记录并且减少记录的碎片。参考系列还使1961-90年的正常计算的一个较大比例的站。站异常插值到0.5度网格覆盖全球陆地表面(不包括南极洲),并结合从1961-90年公布的正常。因此,气候网格构建了1901-2002年期间的9个气候变量(温度,昼夜温度差,每日最低和最高温度,降水量,湿日频率,霜冻日频率,蒸汽压力和云量)。该数据集被称为CRU TS 2.1,可公开获得(http://www.cru.uea.ac.uk/)。版权所有(c)2005皇家气象学会。
A database of monthly climate observations from meteorological stations is constructed. The database includes six climate elements and extends over the global land surface. The database is checked for inhomogeneities in the station records using an automated method that refines previous methods by using incomplete and partially overlapping records and by detecting inhomogeneities with opposite signs in different seasons. The method includes the development of reference series using neighbouring stations. Information from different sources about a single station may be combined, even without an overlapping period, using a reference series. Thus, a longer station record may be obtained and fragmentation of records reduced. The reference series also enables 1961-90 normals to be calculated for a larger proportion of stations.The station anomalies are interpolated onto a 0.5 degrees grid covering the global land surface (excluding Antarctica) and combined with a published normal from 1961-90. Thus, climate grids are constructed for nine climate variables (temperature, diurnal temperature range, daily minimum and maximum temperatures, precipitation, wet-day frequency, frost-day frequency, vapour pressure, and cloud cover) for the period 1901-2002. This dataset is known as CRU TS 2.1 and is publicly available (http://www.cru.uea.ac.uk/). Copyright (c) 2005 Royal Meteorological Society.