An Evaluation of Temperature and Precipitation Surface-Based and Reanalysis Datasets for the Canadian Arctic, 1950–2010
An Evaluation of Temperature and Precipitation Surface-Based and Reanalysis Datasets for the Canadian Arctic, 1950–2010
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加拿大北极地区 1950-2010 年温度和降水地表及再分析数据集的评估
DOI：
10.1080/07055900.2015.1045825
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发表时间：
2015
期刊：
影响因子：
1.2
通讯作者：
D. Chaumont
中科院分区：
文献类型：
--
作者：
M. Rapaić;Ross D. Brown;M. Markovic;D. Chaumont
八个常用的格点气候数据集季节气温和降水的时空一致性分析（CANGRD、CRU-TS 3.1、CRUTEM 4.1、GISTEMP、GPCC、GPCP、HadCRUT 3和UDEL）和8次再分析（20 CR，CFSR，ERA-40，ERA-Interim，JRA 25，MERRA，NARR和NCEP 2）在1950-2010年期间在加拿大北极地区进行了评估。评估使用CANGRD数据集作为参考，该数据集基于气候站的均匀温度和调整后的降水。数据集的协议和偏见，观察到加拿大北极地区具有重要的空间，季节和时间的变化，最大的传播发生在山区和沿海地区的数据集之间，并在加拿大北极群岛。再分析数据集通常比基于地面观测的数据集更温暖和潮湿，CFSR和20 CR在年总降水量方面表现出300 mm量级的偏差。 20 CR的暖偏差在北极西部冬季超过12°C。对1950-2010年期间数据集时间一致性的分析表明，有证据表明，几个数据集存在不连续性，并且在大约2000年之后的这段时间内，数据集的分布明显增加。台站网络的减少、自动化程度的提高以及在再分析中纳入新的卫星数据流是造成这一现象的潜在因素。对1950-2010年期间趋势的评估显示，所有数据集的加拿大北极地区变暖和降水增加的情况相对一致，CANGRD给出的增湿趋势是与台站降水数据调整相关的多数据集平均值的两倍。研究结果表明，在加拿大北极地区的地方或区域尺度应用中使用网格气候数据集时，需要相当小心。
ABSTRACT The spatial and temporal consistency of seasonal air temperature and precipitation in eight widely used gridded observation-based climate datasets (CANGRD, CRU-TS3.1, CRUTEM4.1, GISTEMP, GPCC, GPCP, HadCRUT3, and UDEL) and eight reanalyses (20CR, CFSR, ERA-40, ERA-Interim, JRA25, MERRA, NARR, and NCEP2) was evaluated over the Canadian Arctic for the 1950–2010 period. The evaluation used the CANGRD dataset, which is based on homogenized temperature and adjusted precipitation from climate stations, as a reference. Dataset agreement and bias were observed to exhibit important spatial, seasonal, and temporal variability over the Canadian Arctic with the largest spread occurring between datasets over mountain and coastal regions and over the Canadian Arctic Archipelago. Reanalysis datasets were typically warmer and wetter than surface observation-based datasets, with CFSR and 20CR exhibiting biases in total annual precipitation on the order of 300 mm. Warm bias in 20CR exceeded 12°C in winter over the western Arctic. Analysis of the temporal consistency of datasets over the 1950–2010 period showed evidence of discontinuities in several datasets as well as a noticeable increase in dataset spread in the period after approximately 2000. Declining station networks, increased automation, and the inclusion of new satellite data streams in reanalyses are potential contributing factors to this phenomenon. Evaluation of trends over the 1950–2010 period showed a relatively consistent picture of warming and increased precipitation over the Canadian Arctic from all datasets, with CANGRD giving moistening trends two times larger than the multi-dataset average related to the adjustment of the station precipitation data. The study results indicate that considerable care is needed when using gridded climate datasets in local or regional scale applications in the Canadian Arctic.
影响因子：
8.9
作者：
Cowtan, Kevin;Way, Robert G.
通讯作者：
Way, Robert G.