Chemical weather analysis optimisation with emission impact estimation using nested four-dimensional variational chemistry data assimilation

被引：0
|
作者：
Elbern, Hendrik [1 ]
Strunk, Achim [1 ]
机构：
[1] Univ Cologne, Rhenish Inst Environm Res, Aachener Str 209, D-50931 Cologne, Germany
来源：
AIR, WATER AND SOIL QUALITY MODELLING FOR RISK AND IMPACT ASSESSMENT | 2007年
关键词：
four-dimensional chemical data assimilation; variational inversion system; adjoint nesting; flux estimation; remote sensing;
D O I：
10.1007/978-1-4020-5877-6_29
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Combined emission rate and chemical state optimization by four-dimensional variational data assimilation is presented. Using an adjoint nesting technique, a model setup focussing on the Berlin area is employed, enabling to analyze constituents with strong spatial gradients like NO and NO2. Possible requirements for satellite observations to be used for tropospheric chemical state estimation are shortly discussed.
引用
收藏
页码：315 / +
页数：3
相关论文
共 50 条
12345