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GHCN-CAMS和CMFD两种尺度再分析资料对宁夏气温反映能力评估 被引量:3
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作者 闫伟兄 赵俊芳 杨洋 《地理科学进展》 CSSCI CSCD 北大核心 2021年第12期2061-2072,共12页
再分析资料能有效弥补实际观测数据时空分布不均的缺陷,开展再分析资料区域适应性评估对地气过程研究、气候分析等具有重要意义。论文利用宁夏24个气象观测站的平均气温,从2种空间尺度(0.5°×0.5°和0.1°×0.1... 再分析资料能有效弥补实际观测数据时空分布不均的缺陷,开展再分析资料区域适应性评估对地气过程研究、气候分析等具有重要意义。论文利用宁夏24个气象观测站的平均气温,从2种空间尺度(0.5°×0.5°和0.1°×0.1°)和2种时间尺度(年、月),采用偏差、绝对偏差、均方根误差和相关系数等多个统计指标,评估了再分析资料对宁夏地区地面气温的反映能力。结果表明:(1)GHCN-CAMS(Global Historical Climatology Network and the Climate Anomaly Monitoring System)和CMFD(China Meteorological Forcing Dataset)2套再分析资料对宁夏气温的反映能力整体上均较强,前者对宁夏气温略高估,后者略低估;(2)年和月2种时间尺度上,2种尺度的再分析资料存在阶段性正偏差和负偏差,且年尺度上的相关性好于月尺度的;(3)2套再分析资料对下垫面主要为农田(压砂种植)的气温均存在冷季高估、暖季低估的情况,对城镇两者总体均低估,对草地整体表现为CMFD在冷季低估、暖季略高估,而GHCN-CAMS在冷季高估、暖季低估。总体看,空间分辨率较高的CMFD再分析资料对宁夏气温的反映能力更好一些。 展开更多
关键词 地表气温 再分析资料 ghcn-CAMS CMFD 宁夏
原文传递
Nature of Centennial Global Climate Change from Observational Records
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作者 Mohammed Anwer 《American Journal of Climate Change》 2015年第4期337-354,共18页
In order to provide a better benchmark for climate simulation programs, climate data at Global Historical Climatology Network (GHCN) and Global Summary of the Day (GSOD) archived by the National Climate Data Center (N... In order to provide a better benchmark for climate simulation programs, climate data at Global Historical Climatology Network (GHCN) and Global Summary of the Day (GSOD) archived by the National Climate Data Center (NCDC) are used to ascertain the nature of climate change over the last century. After data validation, about 6000 stations are considered globally to determine the change in mean temperature, and about 5000 stations to determine that change in maximum and minimum temperatures. Global nature of temperature and its change are presented separately for January and July. Both maximum and minimum daily temperatures are used in the analysis. Trend of global change in annual precipitation is also reported here. Least square linear regression is used to ascertain the nature of these changes. Global nature of temperatures in both January and July show bimodal distributions, with the geographical region between the tropics in one mode and the region outside the tropic in another mode. The individual distributions of temperatures of both these regions show separate and similar histograms. Results indicate that over the last century, temperature in January increased more than that during July. Furthermore the minimum temperature in each case increased more than the maximum temperature. Ten separate estimates of temperature change are obtained from the data presented here using different methods. Considering all these estimates, the mean rise in temperature during January was 2.19°C, and during July was 1.72°C. The geographical nature of the rise in temperature shows that though it rises in most locations, the temperature also reduces along eastern Asia, some parts of central Russia, along south-eastern Australia, and along the east coast of the United States. Predominant rise in temperature is mostly over Europe, and in the arctic. Change in precipitation shows that though there is significant reduction rainfall globally, rainfall increases along the equator, in areas around the Gulf of Mexico, along eastern Asia, along the western coast of India, and along the eastern coast of Australia. 展开更多
关键词 CLIMATE Change ghcn GSOD IPCC NCPC Temperature PRECIPITATION
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