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投稿时间:2007-11-27 修订日期:2008-09-25
投稿时间:2007-11-27 修订日期:2008-09-25
中文摘要: 相对湿度是大气探测中最重要的变量之一。只有正确的空气湿度记录序列才能揭示水
汽在长期气候趋势监测方面所起的作用。自2000年以来,使用了几十年的相对湿度等常规气
象要素的人工观测逐渐被自动观测所取代,为了了解两种观测仪器所测结果的差异,选
取了全国17个具有代表性站点的观测数据并对其年平均差、标准差、日变化规律等进行了统
计分析,然后根据自动观测与人工观测各自的优点和缺陷,将相对湿度数据按照气温和相对
湿度大小分成了9类进行对比分析。研究发现,大多数站点的自动站与人工站相比较,两者
之间有一定的“系统偏差”,并且相对湿度的自动观测存在偏干的现象,年平均在3.5%左
右,在相对湿润的地区,这一现象更明显;在相同的气温条件或相同的相对湿度条件下,高
湿或高温情况下的对比差值均偏大。
Abstract:Relative humidity is one of the most important variables. So the list register w
ith correct humidity observations can dispose the effect to trend of long climat
e observations. From 2000 on, the man made observation which was used in past
several decades was replaced by auto weather station (AWS). About 17 obs
ervation stations were selected and analyzed by means of computing the annual a
verage difference, standard deviation and the difference of diurnal variation. A
ccording to each disadvantage of auto weather station and man made observationsystems, relative humidity was sorted to 9 species in terms of the diversity wit
h temperature and relative humidity, and compared and analyzed. It is indicated
that there is systemic bias between man made and auto weather observation in m
ost stations. The magnitude of man made observation is usually about 3.5% larger
than auto weather station. This phenomenon is more obvious in humid area. The bi
as is comparatively large in humid area in the same temperature, and there is si
milar result when the high temperature in the same relative humidity.
文章编号: 中图分类号: 文献标志码:
基金项目:
Author Name | Affiliation |
Yu Jun | Chongqing Meteorological Administration, 401147 Chinese Academy Of Meteorological Sciences |
Mu Rong | Chongqing Meteorological Administration, 401147 |
引用文本:
余君,牟容,2008.自动站与人工站相对湿度观测结果的差异及原因分析[J].气象,34(12):96-102.
Yu Jun,Mu Rong,2008.Research on the Cause of Difference between AWS and MAN Relative Humidity Observations[J].Meteor Mon,34(12):96-102.
余君,牟容,2008.自动站与人工站相对湿度观测结果的差异及原因分析[J].气象,34(12):96-102.
Yu Jun,Mu Rong,2008.Research on the Cause of Difference between AWS and MAN Relative Humidity Observations[J].Meteor Mon,34(12):96-102.