BALTEX沉淀分析:BRIDGE制备阶段的结果

F. Rubel , M. Hantel
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引用次数: 5

摘要

波罗的海实验(BALTEX)是欧洲对全球能源和水循环实验(GEWEX)的贡献。在BALTEX主要试验BRIDGE的准备阶段,设计了降水校正和分析(PCA)模式,并使用BALTEX气象数据中心(BMDC)收集的3年(1995年8月至1998年12月)约4000个雨量计观测资料进行了测试。PCA模型由两部分组成:(1)偏置校正和(2)地统计模块。考虑到仪器特有的特性以及来自天气观测的附加信息,动态偏差校正减少了由于风致、蒸发和润湿损失而对雨量计的系统低估。平均修正系数在2月最大(1.25 - 1.50),在8月最小(1.02 - 1.05)。PCA模型的地统计模块采用普通的块克里格算法估算中尺度模式REMO(空间分辨率为16度或18 km)网格上的面积平均降水量。在BRIDGE期间产生的实际结果将是每日、每月和每年的中尺度降水场,这些中尺度降水场是基于经过质量检查和偏差校正的雨量计测量结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BALTEX precipitation analysis: results from the BRIDGE preparation phase

The Baltic Sea Experiment (BALTEX) is the European contribution to the Global Energy and Water Cycle Experiment (GEWEX). During the preparation phase of the BALTEX main experiment BRIDGE a Precipitation Correction and Analysis (PCA) model has been designed and was tested using 3 years (August 1995 – December 1998) of about 4 000 rain gauge observations collected by the BALTEX Meteorological Data Centre (BMDC). The PCA model consists of two parts: (1) a bias correction and (2) a geostatistical module. The dynamic bias correction reduces the systematic underestimation of the rain gauges due to wind-induced, evaporation and wetting losses taking instrument-specific properties as well as additional information from synoptic observations into account. The mean correction factor has a maximum in February (1.25 – 1.50) and a minimum in August (1.02 – 1.05). The geostatistical module of the PCA model consists of an ordinary block kriging algorithm to estimate area averaged precipitation values on the grid of the meso-scale model REMO (spatial resolution: 16 degree or 18 km). Results, to be operationally produced during BRIDGE, will be daily, monthly and annual meso-scale precipitation fields based on quality checked, bias corrected rain gauge measurements.

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