排序方式： 共有11条查询结果，搜索用时 31 毫秒
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利用气象常规资料、风廓线资料和NCEP/NCAR 1°×1°再分析资料,对2015年10月1日黄渤海罕见大风天气成因进行分析。结果表明:较强冷空气与快速发展的入海气旋相互作用形成强气压梯度是导致此次海上强风的主要原因。对流层中低层强冷平流区与地面变压风大值区有较好的对应关系。上下相接的整层冷平流有利于地面形成强气压梯度和变压梯度。气压梯度在大风形成的初期起主导作用,变压梯度有利于强风的维持。本次过程出现明显动量下传现象,大风形成初期,500~1000m出现低空动量下传并影响地面风场,高空槽过境后,2000m以上的高空动量能够影响地面风场。风廓线观测到低层强风并伴有强的下沉运动,可以作为海上大风临近预警的指标之一。 相似文献
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中国沿海海表温度均一性检验和订正 总被引：4，自引：1，他引：3
利用惩罚最大T检验（Penalized Maximal T test，PMT）方法，选取均一的邻近气象站为参考站，基于月平均地面气温（SAT）资料，利用相关系数权重平均方法构建参考序列，同时结合元数据信息，对1960-2011年中国沿海27个海洋观测站月平均海表温度（SST）进行了均一性检验与订正，并分析了造成海表温度序列非均一的主要原因。结果表明，中国沿海海洋台站海表温度资料存在较为严重的非均一性问题，几乎所有的台站都存在断点，仪器变更（包括人工观测转自动观测）（占总断点数的52.4%）和迁站（占总断点数的33.3%）是造成序列非均一的主要原因。整套资料负订正量所占比例较高，这种负订正量与人工转自动观测后海表温度观测值偏低有密切关系。这也使得订正后中国沿海平均海表温度趋势与订正前存在明显差异，订正后中国沿海海表温度呈明显的加速上升趋势。 相似文献
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Westerly Wind Events (WWEs) over the tropical Pacific are characterized by their spatiotemporal diversity and classified into six types based on their different locations and durations. Various types of WWEs exhibit quite different characteristics in terms of their amplitudes. The long events with a 10–30-day duration are stronger than the short events with a 6–10-day duration, and the maximum amplitudes of the Central-Pacific (C) type and Eastern-Pacific (E) type of long events are larger than the Western-Pacific (W) type of long ones. The evolutions of these six types of WWEs are also quite different. The W-type short and long events and the C-type long events show a distinct eastward propagation, whereas the C-type short events and the E-type short and long events have no apparent propagation direction. We demonstrate that such a difference in the eastward propagation of WWEs can be significantly associated with the Madden-Julian Oscillation (MJO). The W-type events are more influenced heavily by the MJO, as indicated by their more distinct eastward propagation patterns, than the two other types of WWEs. In addition to the MJO, the convectively coupled Kelvin waves are also associated with the WWEs, especially for the short events. 相似文献
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Theoretical and Applied Climatology - Historical Chinese surface meteorological records provided by the special fund for basic meteorological data from the National Meteorological Information... 相似文献
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Theoretical and Applied Climatology - 相似文献
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The role of spring Wyrtki jets in modulating the equatorial Indian Ocean and the regional climate is an unexplored problem. The source of interannual variability in the spring Wyrtki jets is explored in this study. The relationship between intraseasonal and interannual variability from 1958 to 2008 and its relation with Indian Summer Monsoon is further addressed. Analysis reveals that the interannual variability in spring Wyrtki jets is controlled significantly by their intraseasonal variations. These are mostly defined by a single intraseasonal event of duration 20 days or more which either strengthens or weakens the seasonal mean jet depending on its phase. The strong spring jets are driven by such intraseasonal westerly wind bursts lasting for 20-days or more, whereas the weak jets are driven by weaker intraseasonal westerlies. During the years of strong jets, the conventional westward phase propagation of Wyrtki jets is absent and instead there is an eastward phase propagation indicating the possible role of Madden Julian Oscillation (MJO) in strengthening the spring Wyrtki jets. These strong intraseasonal westerly wind bursts with eastward phase propagation during strong years are observed mainly in late spring and have implications on June precipitation over the Indian and adjoining land mass. Anomalously strong eastward jets accumulate warm water in the eastern equatorial Indian Ocean (EIO), leading to anomalous positive upper ocean heat content and supporting more local convection in the east. This induces subsidence over the Indian landmass and alters monsoon rainfall by modulating monsoon Hadley circulation. In case of weak current years such warm anomalies are absent over the eastern EIO. Variations in the jet strength are found to have strong impact on sea level anomalies, heat content, salinity and sea surface temperature over the equatorial and north Indian Ocean making it a potentially important player in the north Indian Ocean climate variability. 相似文献
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基于中国北极考察布放浮标观测和数值模拟的海冰和积雪厚度变化分析 总被引：1，自引：0，他引：1
Sea ice and the snow pack on top of it were investigated using Chinese National Arctic Research Expedition(CHINARE) buoy data.Two polar hydrometeorological drifters,known as Zeno? ice stations,were deployed during CHINARE 2003.A new type of high-resolution Snow and Ice Mass Balance Arrays,known as SIMBA buoys,were deployed during CHINARE 2014.Data from those buoys were applied to investigate the thickness of sea ice and snow in the CHINARE domain.A simple approach was applied to estimate the average snow thickness on the basis of Zeno~ temperature data.Snow and ice thicknesses were also derived from vertical temperature profile data based on the SIMBA buoys.A one-dimensional snow and ice thermodynamic model(HIGHTSI) was applied to calculate the snow and ice thickness along the buoy drift trajectories.The model forcing was based on forecasts and analyses of the European Centre for Medium-Range Weather Forecasts(ECMWF).The Zeno~ buoys drifted in a confined area during 2003–2004.The snow thickness modelled applying HIGHTSI was consistent with results based on Zeno~ buoy data.The SIMBA buoys drifted from 81.1°N,157.4°W to 73.5°N,134.9°W in 15 months during2014–2015.The total ice thickness increased from an initial August 2014 value of 1.97 m to a maximum value of2.45 m before the onset of snow melt in May 2015;the last observation was approximately 1 m in late November2015.The ice thickness based on HIGHTSI agreed with SIMBA measurements,in particular when the seasonal variation of oceanic heat flux was taken into account,but the modelled snow thickness differed from the observed one.Sea ice thickness derived from SIMBA data was reasonably good in cold conditions,but challenges remain in both snow and ice thickness in summer. 相似文献
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基于气温的浮冰侧向融化速率参数化方案实验研究 总被引：3，自引：3，他引：0
为定量探究影响冰层侧向融化的主导因素，并简化冰层侧向融化速率参数化方案，在实验室模拟了无风、静水、无辐射、纯热力学条件下纯水冰的融化过程，测量了冰层的侧向融化量，并记录了融化期间实验室气温、冰面皮温、水温及冰温等要素。观测结果表明，无辐射纯热力学条件下冰层侧向融化整体较均匀，侧向上层和下层融化速率相对中间层较快；相关性分析结果表明，气温与水温、冰温、冰面皮温之间都有很好的线性相关；信息流结果表明，气温是影响冰层侧向融化的最主要因素；最后通过拟合建立了用气温表征冰层侧向融化速率的参数化方案，并与前人的方案进行了比较，结果显示本文参数化方案模拟效果较好，所得标准偏差最小，为0.08 mm/h，达到了简化参数的目的。 相似文献
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长序列卫星辐射资料的缺乏一直是制约青藏高原(以下简称高原)辐射长期变化研究的重要原因之一。对国际上最新提供的1984—2017年ISCCP-FH(以下简称FH)长序列卫星辐射资料中的大气顶逸出长波辐射(OLR)、到达地面短波辐射(SWD)、地面向上长波辐射(LWU)、到达地面长波辐射(LWD)进行分析,评估了FH辐射资料在全天气条件下的青藏高原地区的适用性。结果表明:与观测相比,FH资料的4种辐射通量气候平均值误差均小于5%,其中OLR和SWD的偏差较小,LWU的偏差最大。FH资料能正确反映高原各辐射通量的冬季增强趋势,OLR和LWD在各季节的长期变化趋势均与观测一致,LWU则呈现虚假的减弱趋势。总体来说,在高原地区,FH资料的地面短波辐射通量比长波辐射通量适用性好。进一步对长波辐射偏差原因分析显示,气温偏差会增强LWD的气候态和长期趋势,而地温偏差对LWU的作用与之相反。辐射模型、云和水汽的差异导致最终FH资料中的LWD气候态和长期趋势较观测略偏弱,FH资料的计算方案在一定程度上修正了地温偏差造成的LWU偏弱。研究结果将为使用FH辐射资料提供参考依据。 相似文献