Calibration of an oscillating nozzle‐type rainfall simulator

Nozzle‐type rainfall simulators are commonly used in hydrologic and soil erosion research. Simulated rainfall intensity, originating from the nozzle, increases as the distance between the point of measurement and the source is decreased. Hence, rainfall measured using rain gauges would systematically overestimate the rainfall received at the ground level. A simple model was developed to adjust rainfall measured anywhere under the simulator to plot‐wide average rainfall at the ground level. Nozzle height, plot width, gauge diameter and height, and gauge location are required to compute this adjustment factor. Results from 15 runs at different rain intensities and durations, and with different rain gauge layouts, showed that a simple average of measured rain would overestimate the plot‐wide rain by about 20 per cent. Using the adjustment factor to convert measured rainfall for individual gauges before averaging improved the estimate of plot‐wide rainfall considerably. For the 15 runs considered, overall discrepancy between actual and measured rain is reduced to less than 1 per cent with a standard error of 0·97 mm. This model can be easily tested in the ?eld by comparing rainfall depths of different sized gauges. With the adjustment factor they should all give very similar values. Copyright © 2003 John Wiley & Sons, Ltd.     

风应力对SST气候场和年际变率作用的诊断及数值研究

相关方法分析Nino3区SSTA和风应力的关系，发现前期风应力距平场与Nino3区SSTA有很好的相关关系，这种相关性超前8个月时就有所显现。影响Nino3区SSTA的主要风应力区域的位置随风应力超前的时间缩短均向中太平洋扩展。数值试验方法研究不同区域的风应力对热带太平洋SST作用的结果表明，强相关区域的风应力对形成和维持热带太平洋SST的气候场的作用不明显，而对SST的年际变率有重要贡献；相反，强相关区域以外的风应力对形成和维持热带太平洋SST的气候场起重要作用，但是对SST的年际变率所起的作用很不理想。     

太平洋混合层厚度(dml)年际异常的初步分析

用太平洋区域30a逐月混合层厚度(dml)及浅层海温(Ts)距平资料,分析了20°S以北太平洋区域dml年际变率的地理分布和季节变化,得到两个纬向dml高变率带,它们分别位于北太平洋(45°N附近)和赤道中、西太平洋.重点分析了赤道太平洋dml高变率带,并对其上混合层气候位置、dml年际异常与El Nino事件关系及伴随强El Nino事件的dml正异常东传等作了初步分析.     

南极海冰的年际变化对中国东部夏季降水的影响

根据Hadley中心提供的1969—1998年的南极海冰再分析资料和其它多种观测资料，分析了南极海冰的年际和季节变化，指出南极海冰具有显著的年际变化，但与ENSO的关系则较为复杂。南极海冰维持了南半球高纬地区大气环流的季节持续性，因而对短期气候预测有较大帮助。相关分析和时间序列分析均证实中国东部夏季降水与南极海冰的年际变化有关，当北半球春夏季南极海冰增多时，华北降水增多而华南和东北降水减少。研究还表明，此种雨型分布与南极海冰变化引起的东亚夏季风环流变化有关。     

太平洋年代际振荡与中国气候变率的联系

利用 195 1～ 1998年的太平洋年代际振荡 (PDO)指数、全球海洋和大气分析资料及中国降水和气温站点观测资料 ,分析了太平洋年代际振荡在海洋中的特征及其与东亚大气环流和中国气候变率的联系。结果表明 ,PDO与东亚大气环流及中国气候年代际变化关系密切。对应于PDO暖位相期 (即中纬度北太平洋异常冷、热带中东太平洋异常暖 ) ,冬季 ,阿留申低压增强 ,蒙古高压也增强 (但东西伯利亚高压减弱 ) ,中国东北、华北、江淮以及长江流域大部分地区降水偏少 ,东北、华北和西北地区气温异常显著偏高 ,而西南和华南地区气温偏低 ;夏季 ,海平面气压在北太平洋的负异常较弱 ,而在东亚大陆的正异常较强 ,东亚夏季风偏弱 ,西太平洋副热带高压偏南 ,热带太平洋信风减弱 ,赤道西风增强 ,此时华北地区降水异常偏少而长江中下游、华南南部、东北和西北地区降水异常偏多 ,东北、华北及华南地区气温异常偏高 ,而西北、西南和长江中下游地区气温异常偏低。对应于PDO冷位相期 ,上述形势相反。结果还表明 ,处于不同阶段的ENSO事件对中国夏季气候异常的影响明显受到PDO的调制。在PDO冷位相期 ,当ENSO事件处于发展阶段 ,华南地区夏季降水偏少 ,东北地区夏季多低温 ,在其衰减阶段 ,华北地区和长江流域降水偏多 ,淮河地区降水偏少 ;     

大气环流模式的完全控制试验与模式大气的年际异常研究

对大气环流模式提出了完全控制试验（ＦＣ）的概念，对包括陆面下垫面在内的整个地球表面的热力强迫作了控制。在ＦＣ中，可以更好地分离出大气内动力过程对于模式大气短期气候异常的影响。利用ＩＡＰ２－ＬＡＧＣＭ（中国科学院大气物理所二层大气环流模式）实施了完全控制试验。结果表明，北半球夏半年ＦＣ的月平均海平面气压（ＳＬＰ）年际异常较Ｃ的小，而全球或南半球ＦＣ与Ｃ的ＳＬＰ无明显差别。东亚－西太平洋区域夏半年ＦＣ的月平均ＳＬＰ年际异常甚至高于Ｃ的，意味着该区域模式大气环流短期气候异常中大气内动力过程的作用不可忽视。     

STUDY ON THE AIR-SEA INTERACTION ON THE INTERANNUAL TIME SCALE IN THE SOUTH CHINA SEA*

In this paper we document the correlationship between sea surface temperature(SST) and low level-winds such as sea level wind and 850 hPa wind in the South China Sea(SCS) based on COADS(1958-1987) and ECMWF objective analysis data(1973-1986).Further statistical analyses tell us that there is a fixed SCS basin mode for variations both of SST and low-level winds in the region on the interannual time scale due to air-sea interactions.A simplified,coupled model that is designed following the McCreary and Anderson's(1985) model and includes the feedback between the upper ocean and the circulation of East Asian monsoon demonstrates an interannual oscillation in the coupled air-sea system,which is similar to the observations in the SCS.     

祁连山地区1310年以来湿润指数及其年际变幅的变化与突变分析

本文通过用树木年轮资料重建的祁连山地区5～7月份1310年以来的湿润指数序列，建立了一个反映该地区湿润指数年际变幅序列，对这两个序列分别进行了等级分类和干湿、强弱的时段分析，并用最大熵谱分析法对这两个序列的不同时段分别进行了周期分析。采用HK突变检验方法对这两个序列分别进行了突变分析，发现祁连山地区的湿润指数及其年际变幅存在明显的突变年份。     

Space-time mapping of soil salinity using probabilistic bayesian maximum entropy

The mapping of saline soils is the first task before any reclamation effort. Reclamation is based on the knowledge of soil salinity in space and how it evolves with time. Soil salinity is traditionally determined by soil sampling and laboratory analysis. Recently, it became possible to complement these hard data with soft secondary data made available using field sensors like electrode probes. In this study, we had two data sets. The first includes measurements of field salinity (EC_a) at 413 locations and 19 time instants. The second, which is a subset of the first (13 to 20 locations), contains, in addition to EC_a, salinity determined in the laboratory (EC_2.5). Based on a procedure of cross-validation, we compared the prediction performance in the space-time domain of 3 methods: kriging using either only hard data (HK) or hard and mid interval soft data (HMIK), and Bayesian maximum entropy (BME) using probabilistic soft data. We found that BME was less biased, more accurate and giving estimates, which were better correlated with the observed values than the two kriging techniques. In addition, BME allowed one to delineate with better detail saline from non-saline areas.