查询词典 weather data

The electronic heating evaporator in the high-side gravity recirculation system in ANSI/ASHRAE 64-2500 standard is replaced by a new type plate evaporator which is more effcient and energy-saving, because the cold water outlet from the evaporator that is used to heat the cryogen can be used once again to cool the air in the air inlet trunk; an air processing unit is designed in the lab design, so to imitate all kinds of weather in each season in every location of China at any time the test is being made; the data selection system can send all the data in the test to the computer at one time, and to reduce the cost of the test some data which is more stable are read manually through traditional meters if this can not sacrifice the precision of the test.

本文的设计中用效率更高的新型板式换热器代替了原ANSFASHRAE 64——2500标准中压缩驱动循环系统中的电加热蒸发器，加热冷剂后得到的低温淡水还可以用于冷却进气通道中的空气，不仅提高了效率，而且更加节能；实验室方案中增加了空气处理系统，可以实现随时对全国各地各季节的空气状态进行模拟，方便实验的进行；采用数据采集系统将数据整体采集到电脑中方便数据处理，而且对于变化频率不高相对较为稳定的数据采取传统仪表进行人工读数，在保证测试结果准确性的前提下降低了成本。

We calculate the period of the atmospheric electric field in the calm weather, and analyze the correlation between the atmospheric electric field and the cosmic ray both in the calm weather and thunderstorm weather, with the help of the data of YBJ-ARGO single particle count rate.

大气电场强度尤其是雷暴天气期间的大气电场与宇宙线之间的关联是一个重要的、有理论和实际意义的交叉学科前沿问题。

Based on the new generation weather radar data,Micaps data,Auto-station observation data and MM5 products,a squall line gale process with disaster gale,weak precipitation and local hail occurred in Linyi on April 28,2006 is analyzed.

利用临沂新一代天气雷达观测资料，结合MICAPS资料、加密自动气象站观测资料、MM5模式数值预报产品，对2006年4月28日发生在临沂的一次以灾害性大风为主、有弱降水相伴随、局部还有冰雹发生的飑线天气过程进行了分析。

In order to have a good understanding of the causes of the event,a detailed analysis was made of the weather condition s during the time period by means of the air pollution index,conventional meteorological data,radiosonde data and AWS data.

为了了解造成这次持续重污染过程的原因，利用同期污染指数、常规气象观测资料、探空资料及自动站气象资料，对这一期间的空气污染气象条件进行了较为详细的分析。

The experiments were carried out on a new passive solar test cell. Much data such as indoor and outdoor temperature, the solar radiation, the core and surface temperature of Trombe wall, the temperature and velocity of vent airflow were recorded every ten minutes and saved in computer by a computerized data-logger device. Based on these data, this paper analyzed thermal performance of passive solar house under different weather situations. Meanwhile the effect of Trombe wall on the indoor thermal environment in heating season was also examined.

本研究在新建成的被动式太阳房内，利用多通道计算机巡回检测系统，对室内外温度、太阳辐射强度、集热蓄热墙体温度以及通风口风速、温度进行了长期实测，研究含有Trombe墙体的新建被动式太阳房采暖季节的热性能，采暖季节的室内温度随室外气象条件以及太阳辐射强度的变化情况、室内温度在集热蓄热墙体作用下的波动情况以及在不同天气情况下Trombe墙对室内温度的影响。

For strong convective weather , it classified all historical sample events into 4 weather patterns (like northwest , trough area ,west wind and southwest current), established 4 characteristic fields of 400hPa height of HLAFS , then according to the principle of the pattern match calculate and compare the real-time HLAFS forecast products-2-using the similar method inside the big and small key areas , establish forecast equation , finally gain conclusion .To duststrom weather, the historical samples were sorted into duststrom and severe duststrom types in 5 regions (they are whole area, west, central, middle-west and middle-east of Inner Mongolia ),moreover set up different sample databases about ECMWF fields (including 500hPa height, 850hPatemperature and sea-level pressure).In order to making duststrom forecast at different time level , we first filtered the real-time data by FAX data ,and then used the method of similar range degree to compare the historical data to the actual data of ECMWF .To precipitation weather ,they were divided into 2 types that suit or unsuit airplane artificial precipitation stimulation in line with their emergence time and district .The appropriate weather physical factors come from T106 were chosen to establish the artificial precipitation stimulation prediction model . In the actual application , we can get prediction result as long as use the real-time forecast data of T213 in the prediction model .

针对强对流天气将历史样本天气分为西北气流型、槽区型、西风气流型和西南气流型等4个类型，并建立其HLAFS资料400hPa四种特征场，按照模板匹配的原理，用相似分析方法在大、小两个关键区中对实时HLAFS预报产品进行计算、比较，再建立预报方程，得出结论；对沙尘暴天气将其按区域分为全区、西部、中部、中西部以及中东部5类，再按强弱分别分为强和一般2类，建立ECMWF的3个场(500hPa高度场、850hPa温度场和海平面气压场)的历史资料库，在用传真资料消空之后，用相似离度方法计算实时ECMWF资料，做出不同时次的预报；对降水天气按出现时间和区域分为适合和不适合飞机增雨作业2类，选择T106资料中恰当的气象物理量因子，用BP神经网络算法建立人工增雨降水预报模型，实际应用中将实时T213相关预报资料代入预报模型即可。

The paper summarizes theories and practices concerning data mining at the beginning. According to actual conditions of data forecasting, the paper particularizes two basic tasks in data mining, namely, exploring data analysis and forecasting modeling for classification, and employs them in load forecasting practically. Then a special short-term load-forecasting arithmetic is forwarded based on the former work, which can efficiently take into account weather effects on the load, and hence improve the accuracy of load forecasting.

本文概述了数据挖掘技术的有关内容；并针对负荷预测的实际情况，详细介绍了数据挖掘中的两个基本任务：探索性数据分析和用于分类的预测建模，并将其运用于负荷预测之中；根据所得结果提出了一种基于数据挖掘的短期负荷预测算法，该算法能够有效的考虑气象因素对负荷的影响，从而提高了负荷预测的精度。

In a database the concept of an example might change along with time which is known as concept drift When the concept drift the classification model built by use of old data is unsuitable for classify new data Therefore concept drift has become a hot issue in data mining in recent years Although many algorithms had been proposed to resolve this problem they can not provide users with the reason of concept drift However a user might be very interested in such rules For example doctors want to find what makes disease change; researchers want to know the reason of the variety of the weather; and decision makers would like to understand why a customer's shopping habit change In this thesis we propose a Concept Drift Rule mining Tree called CDR-Tree to solve this problem CDR-Tree can not only find the rule of concept drift also build the prediction model for both old and new data at the same time

无论在大型资料库或现实生活中，同一资料样本的概念有可能会随著时间的递移而改变，也就是产生所谓的概念漂移。当样本发生概念漂移时，由旧有资料所建构的分类模组将不再适用於预测新获得的资料，因此，近年来概念漂移已成为资料探勘中一项热门的研究议题。虽然已有？多学者提出不同的技术来解决概念漂移的问题，但是这些方法都是利用修正或重建的方式来产生适合新资料的预测模组，并无法提供造成概念漂移的原因。然而对使用者而言，其感兴趣的可能正是这些引起概念漂移的规则，如医生可能想了解引起疾病变化的主因、学者会想要知道气候转变的规则、或是决策者想找出顾客购物习惯改变的因素等。因此，本论文提出概念漂移规则探勘树( Concept Drift Rule mining Tree )，简称CDR-Tree，来解决这个问题。CDR-Tree不但能探测出造成概念漂移的主要原因，亦能同时建立新旧资料的预测模组以供决策者运用使用。

With the continuous development of the detecting means, it is possible to obtain large amount of new data, especially various time and space densified remote detecting data. conventional or non-conventional data. It contributes greatly to deeply understand the emergence, development and evolution mechanism of the mesoscale and smallscale weather system.

随着探测手段的不断更新，获取大批的新资料有了可能，特别是各种常规的和非常规的时空加密的遥感资料，对深化认识中小尺度天气系统的发生、发展和演变机制会提供有力的帮助。

This article mainly carries on the analysis with new weather radar data characteristic in this rainfall process. With the analysis of the reflection factor, the wind profile and the rainfall estimation, we know that the strong wind vertical change and sufficient water vapor condition have the extremely vital role to the development and the maintenance of the convection storm; The new weather radar has the very good instruction function to the weather forecast, specially at the rainfall estimated and in the catastrophe weather forecast and the short-time forecast.

本文主要对这次降水过程中的新一代天气雷达资料特征进行分析，通过对反射率因子、风廓线和降水估测等主要产品的分析，表明较强的风的垂直切变、充足的水汽条件对对流风暴的发展和维持有非常重要的作用；新一代天气雷达对气象预报工作有很好的指导作用，特别在降水估计、灾害性天气预报和短时临近预报中有非常重要的意义。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。