Data assimilation approaches in the EURANOS project
Data assimilation approaches in the EURANOS project
复制标题
EURANOS 项目中的数据同化方法
DOI：
10.1051/radiopro/2010020
复制
发表时间：
2010
期刊：
影响因子：
1.1
通讯作者：
T. Mikkelsen
中科院分区：
文献类型：
--
作者：
J. Kaiser;F. Gering;P. Astrup;T. Mikkelsen
在欧洲海洋观测系统项目中，数据同化方法已成功地应用于两个领域，以提高RODOS和ARGOS决策支持系统所用模拟模型的预测能力。关于大气扩散模拟和城市地区放射性核素归宿模拟领域，这里介绍了示范演习的结果。利用RIMPUFF分散代码的数据同化模块，用固定探测器站的模拟读数对伽马剂量率的预测进行了校正。利用IAMM软件包的DA功能，绘制居住区的放射性污染，大规模沉积模型的预测已与当地规模的假设测量相结合。在这两个例子中，模型预测的准确性得到了提高，不确定性得到了降低。
Within the EURANOS project data assimilation (DA) approaches have been successfully applied in two areas to improve the predictive power of simulation models used in the RODOS and ARGOS decision support systems. For the areas of atmospheric dispersion modelling and of modelling the fate of radio-nuclides in urban areas the results of demonstration exercises are presented here. With the data assimilation module of the RIMPUFF dispersion code, predictions of the gamma dose rate are corrected with simulated readings of fixed detector stations. Using the DA capabilities of the IAMM package for mapping the radioactive contamination in inhabited areas, predictions of a large scale deposition model have been combined with hypothetical measurements on a local scale. In both examples the accuracy of the model predictions has been improved and the uncertainties have been reduced.