Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

被引：0
作者：
Penenko, Alexey [1 ,2 ]
Antokhin, Pavel [3 ]
Grishina, Anastasia [2 ]
机构：
[1] RAS, ICM&MG SB, Prospekt Akad Lavrentjeva 6, Novosibirsk 630090, Russia
[2] NSU, Pirogova Str 2, Novosibirsk 630090, Russia
[3] RAS, IAO, VE Zuev Inst Atmospher Opt, SB, Academician Zuev Sq 1, Tomsk 634055, Russia
来源：
23RD INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS | 2017年 / 10466卷
关键词：
Data assimilation; atmospheric chemistry; airborne sensing profiles; splitting scheme; variational approach; advection-diffusion-reaction model; ALGORITHMS;
D O I：
10.1117/12.2288830
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasi-independently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.
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页数：5
相关论文
共 10 条
  • [1] Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models
    Bocquet, M.
    Elbern, H.
    Eskes, H.
    Hirtl, M.
    Zabkar, R.
    Carmichael, G. R.
    Flemming, J.
    Inness, A.
    Pagowski, M.
    Perez Camano, J. L.
    Saide, P. E.
    San Jose, R.
    Sofiev, M.
    Vira, J.
    Baklanov, A.
    Carnevale, C.
    Grell, G.
    Seigneur, C.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (10) : 5325 - 5358
  • [2] Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system
    Byun, Daewon
    Schere, Kenneth L.
    [J]. APPLIED MECHANICS REVIEWS, 2006, 59 (1-6) : 51 - 77
  • [3] A PHOTOCHEMICAL KINETICS MECHANISM FOR URBAN AND REGIONAL SCALE COMPUTER MODELING
    GERY, MW
    WHITTEN, GZ
    KILLUS, JP
    DODGE, MC
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1989, 94 (D10) : 12925 - 12956
  • [4] QUASI-STEADY-STATE APPROXIMATIONS IN AIR-POLLUTION MODELING - COMPARISON OF TWO NUMERICAL SCHEMES FOR OXIDANT PREDICTION
    HESSTVEDT, E
    HOV, O
    ISAKSEN, ISA
    [J]. INTERNATIONAL JOURNAL OF CHEMICAL KINETICS, 1978, 10 (09) : 971 - 994
  • [5] Sequential data assimilation algorithms for air quality monitoring models based on a weak-constraint variational principle
    Penenko A.V.
    Penenko V.V.
    Tsvetova E.A.
    [J]. Numerical Analysis and Applications, 2016, 9 (4) : 312 - 325
  • [6] Penenko A.V., 2014, COMPUTATIONAL TECHNO, V19, P69
  • [7] Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model
    Penenko, Alexey
    Antokhin, Pavel
    [J]. 22ND INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2016, 10035
  • [8] SAMARSKII AA, 1995, COMPUTATIONAL HEAT T, V1
  • [9] Comment on "Simulation of a reacting pollutant puff using an adaptive grid algorithm" by R.K. Srivastava et al.
    Stockwell, WR
    Goliff, WS
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D22)
  • [10] A SIMPLE-MODEL OF THE ATMOSPHERIC BOUNDARY-LAYER - SENSITIVITY TO SURFACE EVAPORATION
    TROEN, I
    MAHRT, L
    [J]. BOUNDARY-LAYER METEOROLOGY, 1986, 37 (1-2) : 129 - 148
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