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UNCERTAINTIES OF THE GRADIENT AND THE VARIANCE METHODS IN RETRIEVING THE MIXING LAYER HEIGHT IN THREE METEOROLOGICAL SCENARIOS

机译：在三种气象场景中检索混合层高度的梯度的不确定性和方差方法

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Mixed layer (ML) heights are extracted from diurnal cycle lidar profiles integrated over different periods of time with a gradient and a variance method in 3 typical meteorological scenarios in Barcelona. In a clean free troposphere (FT), both methods give similar results and depend weakly on integration time. The gradient method gives ML heights with generally lower uncertainty but fails in the case of strong southern advection of Saharan dust (SD). The variance method does not generate any bias in the ML height retrieval but has a rather flat spectrum of errors in the case of SD outbreaks and regional recirculations (RR) of aerosols.

机译：混合层（ml）高度从昼夜循环突发曲线中提取，在不同的时间段内，在巴塞罗那3个典型气象场景中的梯度和方差方法。在清洁的自由层（FT）中，两种方法都提供了类似的结果，并缺乏集成时间。梯度法使ML高度具有普遍较低的不确定性，但在撒哈拉粉尘（SD）的强烈南方平流方面失败。方差方法不会在M1高度检索中产生任何偏差，但在SD爆发和气溶胶区域再循环（RR）的情况下具有相当平坦的误差。

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《International Laser Radar Conference》|2004年||共4页
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Michaeel Sicard; Carlos Perez; Francesc Rocadenbosch; Jose Maria Baldasano; Adolfo Comeron;
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中图分类 TN958.58;
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机译：在三种气象场景中检索混合层高度的梯度的不确定性和方差方法
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UNCERTAINTIES OF THE GRADIENT AND THE VARIANCE METHODS IN RETRIEVING THE MIXING LAYER HEIGHT IN THREE METEOROLOGICAL SCENARIOS

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