Using the comparison of the conventional observation data of 20 meteorological stations and the reanalysis data of ERA-Interim, JRA-55 and CFSR in coastal zone of Liaoning Province from 1981 to 2015, the adaptability of reanalysis wind velocity field in coastal zone of Liaoning Province were discussed. The results show that the correlation between the three reanalysis data and the observed data is significant, and ERA-Interim is the best. But the maximum hourly wind speed of ERA-Interim data is obviously smaller than the observed data. The spatial deviations of the three kinds of reanalysis data are obviously heterogeneous, what is smaller in Suizhong and Xingcheng but larger in Lushunkou. The absolute deviation of the maximum hourly wind speed of CFSR is less than 1, and the applicability is better. The wind speed of ERA-Interim data is close to that of observation data, and the deviation of maximum hourly wind speed and gale number at 14:00 (Beijing time, the same as after) was smaller than that at 08:00. The mean absolute error of maximum hourly wind speed in the three sea areas is not significant, which is between 1.5 and 3 m·s-1, and the error of gale number is significant. The error of Bohai Strait is relatively large, the northern part of Yellow Sea and the northern part of Bohai Sea are the least. The mean absolute error of wind speed of CFSR data is the smallest. The observed data of maximum hourly wind speed and the number of wind events were significantly decreased, the JRA and CFSR data showed a slow decreased trend, while the ERA data showed an increased trend. The interdecadal curve of ERA and JRA data fluctuated smoothly, which could not show the interdecadal variation trend of the observed data, the CFSR data is close to the observed value, but the trend is slower than that of the observed data. In point of the spatial distribution of long-term trend, CFSR data credibility is relatively better, JRA data is second, and the difference of ERA-Interim data is larger.
[1]Bromwich D H, Fogt R L, Hodges K I, et al, 2007. A tropospheric assessment of the ERA-40, NCEP, and JRA-25 global reanalyses in the polar regions[J]. J Geophys Res, 112(D10), doi:10. 1029/2006JD007859.
[2]Grotjahn R, 2008. Different data, different general circulations? A comparison of selected fields in NCEP/DOE AMIP-Ⅱ and ECWMF ERA-40 reanalysis[J]. Dyn Atmos Oceans, 44(3):108-142.
[3]Ma L J, Zhang T J, Li Q X, et al, 2008. Evaluation of ERA-40, NCEP-1, and NCEP-2 reanalysis air temperatures with ground based measurements in China[J]. J Geophys Res, 113(D15), doi:10. 1029/2007JD009549.
[4]Poccard I, Janicot S, Camberlin P, 2000. Comparison of rainfall structure between NCEP/NCAR reanalysis and observed data over tropical Africa[J]. Climate Dyn, 16(12):897-915.
[5]Zhao T B, Fu C B, 2006. Comparison of products from ERA-40, NCEP-2 and CRU With station data for summer precipitation over China[J]. Adv Atmos Sci, 23(4):593-604.
[6]程胡华, 2016.山西岢岚地区NCEP资料与地面观测资料的年变化对比[J].干旱气象, 34(3):456-464. Chen H H, 2016. Annual variations comparison between NCEP reanalysis data and ground observations in Kelan region of Shanxi Province[J]. Journal of Arid Meteorology, 34(3):456-464.
[7]胡梦玲, 游庆龙, 林厚博, 2015.青藏高原地区多套位势高度和风场再分析资料的对比分析[J].冰川冻土, 37(5):1229-1244.
[8]Hu M L, You Q L, Lin H B, 2015. Comparative analyses of geopotential height and wind fiela from multiple reanalysis data over the Tibetan Plateau[J]. Journal of Glaciology and Geocryology, 37(5):1229-1244.
[9]黄刚, 2006. NCEP/NCAR和ERA-40再分析资料以及探空观测资料分析中国北方地区年代际气候变化[J].气候与环境研究, 11(3):310-320.
[10]Huang G, 2006. The assessment and difference of the interdecadal variations of climate change in Northern Part of China with the NCEP/NCAR and ERA 40 reanalysis data[J]. Climat Environ Res, 11(3):310-320.
[11]江滢, 罗勇, 赵宗慈, 等, 2007. 近50年中国风速变化及原因分析[A]. 中国气象学会年会气候变化分会场,
[12]Jiang Y, Luo Y, Zhao Z C, et al, 2007. Analysis of wind velocity change and its causes in China in recent 50 years[A]. China Meteorological Society Annual Meeting on Climate Change.
[13]旷芳芳, 张友权, 张俊鹏, 等, 2015. 3种海面风场资料在台湾海峡的比较和评估[J].海洋学报, 37(5):44-53.
[14]Kuang F F, Zhang Y Q, Zhang J P, et al, 2015. Comparison and evaluation of three sea surface wind products in Taiwan Strait[J]. Haiyang Xuebao, 37(5):44-53.
[15]毛科峰, 陈希, 李妍, 等, 2012.东中国海域交叉定标多平台合成洋面风场资料的初步评估[J].气象, 38(12):1456-1463.
[16]Mao K F, Chen X, Li Y, et al, 2012. Evaluation of the new Cross-Calibrated, Multi-Platform ocean surface wind fields in the East China Sea region[J]. Meteor Mon, 38(12):1456-1463.
[17]秦艳慧, 吴通华, 李韧, 等, 2015. ERA-Interim地表温度资料在青藏高原多年冻土区的适用性[J].高原气象, 34(3):666-675.
[18]Qin Y H, Wu T H, Li R, et al, 2015. Application of ERA product of land surface temperature in permafrost regions of Qinghai-Xizang Plateau[J]. Plateau Meteor, 34(3):666-675. DOI:10. 7522/j. issn. 1000-0534. 2014. 00151.
[19]任国玉, 郭军, 徐铭志, 等, 2005.近50年中国地面气候变化基本特征[J].气象学报, 2005, 12(6):942-956.
[20]Ren G Y, Guo J, Xu M Z, et al, 2005. Climate changes of China's mainland over the past half century[J]. Acta Meteor Sinica, 12(6):942-956.
[21]施晓晖, 徐祥德, 谢立安, 2006. NCEP/NCAR再分析风速、表明气温距平在中国区域气候变化研究中的可信度分析[J].气象学报, 64(6):709-722.
[22]Shi X H, Xu X D, Xie L A, 2006. Reliability analyses of NCEP/NCAR reanalysis wind speed and surface temperature in climate change research in China[J]. Acta Meteor Sinica, 64(6):709-722.
[23]王田野, 吴通华, 李韧, 等, 2015.两种再分析月平均气温资料在蒙古国的适用性评估[J].高原气象, 35(3):651-661.
[24]Wang T Y, Wu T H, Li R, et al, 2015. Evaluation of monthly air temperature from two reanalysis datasets in Mongolia[J]. Plateau Meteor, 2015, 35(3):651-661. DOI:10. 7522/j. issn. 1000-0534. 2016. 00033.
[25]赵佳莹, 徐海明, 2014.中国区域探空资料与再分析资料风速场的对比分析[J].气候与环境研究, 19(5):587-600.
[26]Zhao J Y, Xu H M, 2014. Comparison of wind velocity among reanalysis and radiosonde datasets over China[J]. Climat Environ Res, 19(5):587-600.
[27]支星, 徐海明, 2013.三种再分析资料的高空温度与中国探空温度资料的季节平均特征对比分析[J].高原气象, 32(1):97-109.
[28]Zhi X, Xu H M, 2013. Comparative analysis on monthly mean characteristic of free atomospheric temperature between three reanalysia datasets and Radiosonde dataset in China[J]. Plateau Meteor, 32(1):97-109. DOI:10. 7522/j. issn. 1000-0534. 2013. 00011.
[29]周凯, 陈希, 李妍, 等, 2012.两种海面风场的对比及对海浪模拟的影响[J].海洋预报, 29(3):9-14.
[30]Zhou K, Chen X, Li Y, et al, 2012. Comparison between two sea surface wind fielda and their influence on the wave simulations[J]. Marine Forecasts, 29(3):9-14.
[31]朱彦良, 凌超, 陈洪滨, 等, 2012.两种再分析资料与RS92探空资料的比较分析[J].气候与环境研究, 17(3):381-391.
[32]Zhu Y L, Ling C, Chen H B, et al, 2012. Comparison of two reanalysis data with the RS92 radiosonde data[J]. Climat Environ Res, 17(3):381-391.
