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Daily Weather Types in February-June (1979-2016) and Temperature Variations in Tropical North Africa

机译:每日天气类型于2月至6月(1979-2016)和热带北非的温度变化

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This study investigates to what extent weather types (WTs) computed over tropical North Africa and the tropical North Atlantic Ocean (40 degrees W-40 degrees E, 0 degrees-30 degrees N) are relevant for documenting intraseasonal and interannual temperature variability in tropical North Africa (west of 37 degrees E, 2 degrees-27 degrees N). Nine WTs are extracted by using clustering analysis of the daily anomalies of sea level pressure and low-level 925-hPa winds from two reanalyses (NCEP-DOE and ERA-Interim) from 1979 to 2016. The analyses are carried out separately for February-March and for April-June, when temperatures reach their annual peak across most of the region. The WT patterns mix the effects of different multiscale phenomena, including the extratropical Rossby waves that travel on the northern edge of the domain (and are partly related to the North Atlantic Oscillation), the Madden-Julian oscillation, and Kelvin waves in the subequatorial zone. For each WT, warm (cold) minimum (TN) and maximum (TX) daily temperature anomalies tend to be systematically located east of cyclonic (anticyclonic) low-level circulation anomalies associated with the WT patterns. By modulating the greenhouse effect, the water vapor anomalies exert a major influence, leading to warm (cold) TX and TN anomalies associated with moister (drier) air, through advection from the tropical Atlantic or equatorial latitudes (the Sahara or northern latitudes) toward tropical North Africa. WTs are also useful for monitoring interannual variability of TX/TN anomalies mostly north of 10 degrees N in February-March, even if they greatly underestimate the long-term warming trend. Most WTs significantly raise or lower the probability of regional-scale heat peaks, defined as the crossing of the 90th percentile of daily TX or TN.
机译:本研究调查了热带北非和热带北大西洋(40度W-40度E,0度-30度N)上计算的天气类型(WTs)在多大程度上与记录热带北非(37度E,2度-27度N)的季节内和年际温度变化相关。通过对1979年至2016年两次再分析(NCEP-DOE和ERA-Missional)的海平面气压和925 hPa低空风的日异常进行聚类分析,提取了9个WT。这些分析分别针对2月至3月和4月至6月进行,当时该地区大部分地区的气温都达到了年度峰值。WT模式混合了不同多尺度现象的影响,包括在该区域北部边缘传播的温带Rossby波(部分与北大西洋振荡有关)、Madden-Julian振荡和次赤道区的Kelvin波。对于每个WT,暖(冷)最低(TN)和最高(TX)日温度异常往往系统地位于与WT模式相关的气旋(反气旋)低层环流异常的东部。通过调节温室效应,水汽异常产生重大影响,通过热带大西洋或赤道纬度(撒哈拉或北纬度)向热带北非的平流,导致与潮湿(干燥)空气相关的暖(冷)TX和TN异常。WTs也有助于监测TX/TN异常的年际变化,主要是2月至3月在北纬10度以北,即使它们大大低估了长期变暖趋势。大多数WT显著提高或降低了区域尺度热峰值的概率,即每日TX或TN的第90百分位交叉。

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