Satellite data assimilation in global numerical weather prediction model using Kalman filter

被引:1
|
作者
Bogoslovskiy, Nikolay N. [1 ]
Erin, Sergei I. [1 ]
Borodina, Irina A. [1 ]
Kizhner, Lubov I. [1 ]
Alipova, Kseniya A. [1 ]
机构
[1] Tomsk State Univ, 36 Lenin Ave, Tomsk 634050, Russia
关键词
data assimilation; surface layer soil moisture; satellite observations; SOIL-MOISTURE; PARAMETERIZATION;
D O I
10.1117/12.2249275
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper examines the application of the Kalman filter for assimilation of satellite soil moisture measurement data into the SL-AV global numerical weather prediction (NWP) model. This technique allows to consider soil moisture data in areas with available satellite observations. Single-assimilation numerical experiments based on the Kalman filter revealed a reduction of errors in the initial surface layer soil moisture data.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] An Ensemble Kalman Filter for Numerical Weather Prediction Based on Variational Data Assimilation: VarEnKF
    Buehner, Mark
    Mctaggart-Cowan, Ron
    Heilliette, Sylvain
    [J]. MONTHLY WEATHER REVIEW, 2017, 145 (02) : 617 - 635
  • [2] Continuous data assimilation for global numerical weather prediction
    Lean, P.
    Holm, E. V.
    Bonavita, M.
    Bormann, N.
    McNally, A. P.
    Jarvinen, H.
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2021, 147 (734) : 273 - 288
  • [3] Impact of surface data assimilation using an ensemble Kalman filter technique on the improvement of weather prediction
    Trilaksono, N.J.
    Taqiyya, M.
    Dewani, N.
    Junnaedhi, I.D.G.A.
    Riawan, E.
    Fitriani, R.
    [J]. Journal of Physics: Conference Series, 2019, 1127 (01)
  • [4] Impact of surface data assimilation using an ensemble Kalman filter technique on the improvement of weather prediction
    Trilaksono, N. J.
    Taqiyya, M.
    Dewani, N.
    Junnaedhi, I. D. G. A.
    Riawan, E.
    Fitriani, R.
    [J]. 6TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES, 2019, 1127
  • [5] ASSIMILATION FOR A NUMERICAL EUTROPHICATION MODEL USING ENSEMBLE KALMAN FILTER
    Li, Zhijie
    Chen, Qiuwen
    [J]. PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM, 2015, : 651 - 656
  • [6] Numerical Weather Prediction and Data Assimilation
    Podgorski, Krzysztof
    [J]. INTERNATIONAL STATISTICAL REVIEW, 2021, 89 (02) : 431 - 432
  • [7] Numerical Weather Prediction and Data Assimilation
    Podgorski, Krzysztof
    [J]. INTERNATIONAL STATISTICAL REVIEW, 2021,
  • [8] On data assimilation in a pseudo-spectral wave prediction model using a Kalman filter
    Yoon, Seongjin
    Kim, Jinwhan
    Choi, Wooyoung
    [J]. OCEANS, 2012 - YEOSU, 2012,
  • [9] Data assimilation with the ensemble Kalman filter in a numerical model of the North Sea
    Ponsar, Stephanie
    Luyten, Patrick
    Duliere, Valerie
    [J]. OCEAN DYNAMICS, 2016, 66 (08) : 955 - 971
  • [10] Data assimilation with the ensemble Kalman filter in a numerical model of the North Sea
    Stéphanie Ponsar
    Patrick Luyten
    Valérie Dulière
    [J]. Ocean Dynamics, 2016, 66 : 955 - 971