CRU JRA v1.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2017.

The CRU JRA V1.1 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different) . The data are available at a 6 hourly time-step from January 1901 to December 2017.

The dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 3.26 data (see the Process section and the ReadMe file for full details).

The CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).

The CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section.

If this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:

Harris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated
high-resolution grids of monthly climatic observations - the CRU TS3.10
Dataset. International Journal of Climatology 34, 623-642.

Kobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and
Basic Characteristics. J. Met. Soc. Jap., 93(1), 5-48
https://dx.doi.org/10.2151/jmsj.2015-001

CRU JRA V1.1数据集是由东英吉利大学（University of East Anglia, UEA）气候研究中心（Climatic Research Unit, CRU）制作的逐6小时陆面网格化时间序列数据集，包含10个气象变量，旨在用于驱动各类数值模式。该数据集采用0.5°纬度×0.5°经度的网格，覆盖范围接近全球，但不包含南极洲（其网格与CRU TS网格一致，不过变量集合有所不同）。数据时间步长为逐6小时，时间跨度为1901年1月至2017年12月。

本数据集通过整合日本气象厅（Japanese Meteorological Agency, JMA）制作的日本再分析数据（Japanese Reanalysis data, JRA）构建而成，并在可行范围内进行订正以匹配CRU TS 3.26数据集（完整细节请参见处理章节与ReadMe文件）。

CRU JRA数据集包含以下10个气象变量：2米气温、2米最高与最低气温、总降水量、比湿、向下短波辐射通量、向下长波辐射通量、气压，以及风速的纬向和经向分量（更多细节请参见ReadMe文件）。

CRU JRA数据集旨在作为CRUNCEP强迫数据集的替代方案。其数据组织风格沿袭自Nicolas Viovy最初发布的CRUNCEP数据集，而非美国大学大气研究联合会（University Corporation for Atmospheric Research, UCAR）提供的版本。文档部分提供了可用于对比的CRU NCEP文档链接。

若使用本数据集，除按照数据引用格式标注本数据集外，用户还需引用以下文献：
Harris, I., Jones, P.D., Osborn, T.J. 与Lister, D.H. (2014)，《更新的高分辨率逐月气候观测网格——CRU TS3.10数据集》，《国际气候学杂志》34卷，623-642页。
Kobayashi, S. 等，《JRA-55再分析：通用规范与基本特征》，《日本气象学会志》93(1)，5-48页，https://dx.doi.org/10.2151/jmsj.2015-001

搜集汇总

背景与挑战

背景概述

CRU JRA v1.1数据集是一个6小时时间步长的网格化地表强迫数据集，包含10个气象变量，覆盖1901年至2017年，空间分辨率为0.5度经纬度网格。该数据集由CRU和JRA数据融合而成，旨在用于驱动模型并替代CRUNCEP数据集。