Predicting June Mean Rainfall in the Middle/Lower Yangtze River Basin

We demonstrate that there is significant skill in the GloSea5 operational seasonal forecasting system for predicting June mean rainfall in the middle/lower Yangtze River basin up to four months in advance.Much of the rainfall in this region during June is contributed by the mei-yu rain band.We find that similar skill exists for predicting the East Asian summer monsoon index(EASMI)on monthly time scales,and that the latter could be used as a proxy to predict the regional rainfall.However,there appears to be little to be gained from using the predicted EASMI as a proxy for regional rainfall on monthly time scales compared with predicting the rainfall directly.Although interannual variability of the June mean rainfall is affected by synoptic and intraseasonal variations,which may be inherently unpredictable on the seasonal forecasting time scale,the major influence of equatorial Pacific sea surface temperatures from the preceding winter on the June mean rainfall is captured by the model through their influence on the western North Pacific subtropical high.The ability to predict the June mean rainfall in the middle and lower Yangtze River basin at a lead time of up to 4 months suggests the potential for providing early information to contingency planners on the availability of water during the summer season.     

Two Opposite Extreme Events in Seasonal Mean Winter Rainfall over East China during the Past Three Decades

In this study,the extremes of winter seasonal mean precipitation have been investigated by using daily precipitation data from 91 stations in East China,the National Centers for Environmental Prediction/the National Center for Atmospheric Research(NCEP/NCAR)monthly reanalysis,and sea surface temperature data from the Hadley Centre for 1979–2007.The largest anomalous rainfall amount was observed in regions south of the Yangtze River.In the most recent three decades,extreme events in the seasonal mean winter precipitation occurred in 1985 and 1997.Because it was influenced mainly by a La Ni a event,the precipitation in 1985 showed a deficit following a stronger winter monsoon.The rainfall amount in 1997 was influenced by El Ni o and was significantly larger than normal with a weaker winter monsoon.Both the circulation anomalies and wave energy dispersions during the winters of 1985 and 1997 differed significantly.In 1985,the North Atlantic Oscillation anomalously excited the Eurasian-Pacific teleconnection and circumglobal teleconnection phenomena.Consequently,Rossby wave energy propagated along the north and south branches of the westerlies,strengthening the East Asian trough along with a stronger winter monsoon,which facilitated the wintertime dry extreme in East China.In1997,however,Rossby wave energy propagated from low latitudes northeastward into the southern part of China,resulting in a weaker winter monsoon and the wettest winter.The results of this study will be helpful for future monitoring and prediction of extreme winter rainfall events in East China.     

An analysis of six simultaneous wind records taken near Vancouver

Abstract

Hourly wind speeds and directions taken at six sites near Vancouver, Canada over a period of one year during 1971–1972 have been analyzed. Mean magnitude ratios obtained for different wind directions under high wind conditions vary from about 0.3 to 1.4 and can be explained qualitatively by local shelter effects, local terrain effects or anemometer heights. The mean magnitude ratio is in every case shown to be essentially identical to the ratio of mean wind magnitudes, for high wind conditions; this is justified by simple analysis. The standard deviation of the magnitude ratio lies between 0.24 and 0.69 of the mean ratio. Uncertainty in this mean ratio, which is an important link in wind engineering design, may have to be incorporated into statistical design procedures to avoid taking unknown risks in the estimation of design wind speeds.     

On mean sea-level along the Brazilian coast

Summary. (Part 1) Fourier analyses of mean monthly sea-level data from Belém, Fortaleza, Salvador and Imbituba, ports on the Brazilian coast, are made with simultaneous data of air temperature, sea surface atmospheric pressure, atmospheric precipitation and evaporation. Results show that the mean monthly sea-levels of ports below Recife's latitude show peaks in February-March and April-May which are apparently related to the seasonal temperature changes and the combined action of precipitation, winds and oceanographic large-scale changes. The port of Belém showed a stronger semi-annual seasonal component, which seems to be related to the alternate southern and northern hemispheres' influences of the atmospheric precipitation. (Part 2 of the paper presented at the Symposium concerned the longer term changes of sea-level, including an analysis of principal components. These subjects will be treated in a separate paper.)     

大型天线几何旋转中心的测定方法

重点介绍了高精度确定大型天线几何旋转中心的观测方案和计算方法。结合具体实例,在ITRF2000框架下,论述了控制网布设、观测方案确定、数学模型的建立、数据处理的过程,结果与已知外部参考结果进行了比较,坐标分量上达到毫米级外附精度,验证了观测、计算方案的可行性和准确性。     

关于地理实体编码设计和应用的研究

本文以考虑地理实体编码在地理空间数据更新中的应用为出发点,对地理实体编码的设计进行了初步研究。通过分析和试验建立了一套统一的编码规则,使之能适应于数据生产中要素的自动编码,并为实现要素快速定位、变化要素自动级联更新等应用创造有利的技术支持。     

粗糙元几何参数的交互作用对床面空气动力学粗糙度的影响

 为了全面地揭示粗糙元的所有几何参数的交互作用对空气动力学粗糙度的影响,利用风洞实验研究了粗糙元高度、密度、高度与间距比、孔隙度和方向比率等几何参数交互作用对空气动力学粗糙度的影响。结果表明,密实和孔隙粗糙元的无量纲空气动力学粗糙度（空气动力学粗糙度度/粗糙元高度）均可表示为粗糙元密度/等效密度的正比例函数,而比例系数反映了粗糙元几何参数交互作用。据此,该研究发展了一个全面反映粗糙元高度h、密度/等效密度λ、高度与行间距比Sp和方向比率AR等几何参数交互作用的空气动力学粗糙度模式:Z0h=-0.0028+0.5403S0.32p·AR-0.07·λ。该模式改进了模拟的精度,扩大了适用范围。     

GPS/MET水汽反演中T_m模型的本地化研究

利用江西省南昌和赣州两探空站12年(1999—2010年)每日2次(08时和20时)的探空资料,运用最小二乘法建立了江西地区的加权平均温度Tm模型(江西本地化Tm模型)。基于探空资料计算得到的Tm值,对比分析了江西本地化Tm模型、武汉本地化Tm模型和GAMIT默认Tm模型的模拟结果,发现江西本地化Tm模型的模拟效果最好,武汉本地化Tm模型相对较差。利用GAMIT软件,分别采用江西本地化Tm模型、武汉本地化Tm模型和GAMIT默认Tm模型,对2010年1月至2010年12月南昌、赣州等地的GPS大气可降水量进行了解算,并与探空计算的大气可降水量作了对比分析,结果发现采用江西本地化Tm模型后解算得到的GPS大气可降水量精度最高,而采用GAMIT默认Tm模型的精度相对较差。