Welcome to Journal of University of Chinese Academy of Sciences,Today is

Design and implementation of an experimental data assimilation system for chlorophyll-a in Lake Taihu based on the ensemble Kalman filter

  • WANG Ze-Ren ,
  • MA Rong-Hua ,
  • DUAN Hong-Tao ,
  • ZHANG Yu-Chao ,
  • QI Lin
Expand
  • 1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2012-11-05

  Revised date: 2013-02-25

  Online published: 2013-09-15

Abstract

We develop a novel data assimilation approach for the prediction of algal blooms in Lake Taihu. Our approach is based on a 2D ecological model which combines a physical model, 250 m MODIS inversion chlorophyll-a data, and an ensemble Kalman filter (EnKF) analysis scheme. Our results indicate that the data assimilation approach is reliable for predicting algal blooms in these complex waters.

Cite this article

WANG Ze-Ren , MA Rong-Hua , DUAN Hong-Tao , ZHANG Yu-Chao , QI Lin . Design and implementation of an experimental data assimilation system for chlorophyll-a in Lake Taihu based on the ensemble Kalman filter[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(5) : 628 -636 . DOI: 10.7523/j.issn.2095-6134.2013.05.009

References

[1] Yang G S, Ma R H, Zhang L, et al. Lake status major problems and protection strategy in China[J]. Journal of Lake Sciences, 2010,22(6):799-810(in Chinese). 杨桂山,马荣华,张路,等. 中国湖泊现状及面临的重大问题与保护策略[J]. 湖泊科学,2010,22(6):799-810.
[2] Kong F X, Gao G. Hypothesis on cyanobacteria bloom-forming mechanism in large shallow eutrophic lakes[J]. Acta Ecologica Sinica, 2005,25(3):589-595(in Chinese). 孔繁翔,高光. 大型浅水富营养化湖泊中蓝藻水华形成机理的思考[J]. 生态学报,2005,25(3):589-595.
[3] Duan H T, Ma R H, Xu X F, et al. Two-Decade reconstruction of algal bloom in China's lake Taihu[J]. Environmental Science & Technology, 43(10):3522-3528.
[4] Kong F X, Ma R H, Gao J F, et al. The theory and practice of prevention, forecast and warning on cyanobacteria bloom in Lake Taihu[J]. Journal of Lake Sciences, 2009,21(3):314-328(in Chinese). 孔繁翔,马荣华,高俊峰,等. 太湖蓝藻水华的预防、预测和预警的理论与实践[J]. 湖泊科学, 2009, 21(3):314-328.
[5] Cracknell A P, Newcombe S K, Black A F, et al. The ABDMAP (Algal bloom detection, monitoring and prediction) concerted action[J]. International Journal of Remote Sensing, 2001, 22(2/3):205-247.
[6] Wei B. Sugiura N. Maekawa T. Use of artificial neural network in the prediction of algal blooms[J]. Water Research, 2001, 35(8):2 022-2 028.
[7] Rechnagel F. ANNA-Artificial neural network model for predicting species abundance and succession of blue-green algae[J]. Hydrobiologia, 2004, 349:47-57.
[8] Pan D L, Ma R H. Several key problems of lake water quality remote sensing[J]. Journal of Lake Sciences, 2008,20(2):139-144(in Chinese). 潘德炉, 马荣华. 湖泊水质遥感的几个关键问题[J]. 湖泊科学, 2008, 20(2):139-144.
[9] Daley R. Atmospheric data analysis. Cambridge atmospheric and space science series[M]. Cambridge: Cambridge University Press, 1991:257.
[10] Bennett A F. Inverse methods in physical oceanography[M]. Cambridge: Cambridge University Press, 1992:68.
[11] Robinson A R, Lermusiaux P F J. Overview of data assimilation[R/OL].[2013-10-8]. http://robinson.seas.harvard.edu/PAPERS/red_report_b2.html.
[12] Talagrand O. Assimilation of observations, an introduction[J]. Journal of the Meteorological Society of Japan, 1997, 75(1):191-209.
[13] Charney J, Halem M, Jastrow R. Use of incomplete historical data to infer the present state of the atmosphere[J]. Journal of the Atmospheric Sciences, 1969, 26:1160-1163.
[14] Wiener N. Extrapolation interpolation and smoothing of sattionary time series[M]. Massachusetts:MIT Press,1964.
[15] Gandin L S. Objective analysis of meteorological fields[J]. Meteorological Magazine, 1966, 95(1130):286-293.
[16] Eddy A. The statistical objective analysis of scalar data fields[J]. Journal of Applied Meteorology, 1967, 6:597-609.
[17] Kalman R E. A new approach to linear filtering and prediction problem[J]. Journal of Basic Engineering, 1960, 82(Series D):35-45.
[18] Jazwinski A H. Stochastic processes and filtering theory[M]. New York: Elsevier, 1970.
[19] Evensen G. Sequential data assimilation with a non-linear quasi-geostrophic model using Monte Carlo methods to forecast error statistics[J]. Journal of Geophysical Research, 1994, 99(C5): 10 143-10 162.
[20] Sasaki Y. An objective analysis based on the variational method[J]. Journal of the Meteoritical Society, 1958, 36:738-742.
[21] LeDimet F X, Talagrand O. Variational algorithms for analysis and assimilation of meteorological observation: Theoretical aspects[J]. Tellus,1986, 38A:97-110.
[22] Liu C S, Xue J S. The ensemble Kalman filter theory and method development[J]. Journal of Tropical Meteorology, 2005,21(6):628-633(in Chinese). 刘成思, 薛纪善. 关于集合Kalman滤波的理论和方法的发展[J].热带气象学报,2005,21(6): 628-633.
[23] Pinder G F, Gray W G. Finite element simulation in surface and subsurface hydrology[M]. New York: Academic Press, 1977:198.
[24] Wool T A, Ambrose R B, Martin J L, et al. Water quality analysis simulation program(WASP) Version6.0 DRAFT:user's manual[R]. Atlanta: US Environmental Protection Agency, MS Tetre Tech, 2001.
[25] Bouttier F,Courtier P. Data assimilation concepts and methods[R].ECMWF Lecture Notes European Centre for Medium-Range Weather Forecasts,Reading,England,1999:5.
[26] Ma R H, Tang J W, Duan H T, et al. Progress in lake water color remote sensing[J]. Journal of Lake Sciences, 2009,21(2):143-158(in Chinese). 马荣华, 唐军武, 段洪涛,等. 湖泊水色遥感研究进展[J]. 湖泊科学, 2009, 21(2):143-158.
[27] Houtekamer P L, Mitchell H L. Data assimilation using an ensemble Kalman filter technique[J]. Monthly Weather Review, 1998, 126(3):796-811.
[28] Hamill T M, Whitaker J S, Snyder C. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter[J]. Monthly Weather Review, 2001, 129:2 776-2 790.
[29] Zhuang Z R, Xue J S, Li X L. The GRAPES ensemble Kalman filter data assimilation system. Part I: Design and its tentative experiment[J]. Acta Meteorologica Sinica, 69(4):620-630(in Chinese). 庄照荣, 薛纪善, 李兴良. GRAPES集合卡尔曼滤波资料同化系统I:系统设计及初步试验[J]. 气象学报, 2011, 69(4):620-630.
[30] Gaspari G, Cohn S E. Construction of correlation functions in two and three dimensions[J]. Quarterly Journal of the Royal Meteorological Society, 1999, 125(554):723-757.
[31] Evensen G. The ensemble Kalman filter: theoretical formulation and practical implementation[J]. Ocean Dynamics, 2003, 53:343-367.
[32] Houtekamer P L, Derome J. Methods for ensemble prediction[J]. Monthly Weather Review, 1995, 123:2181-2195.
[33] Zheng F. Advances in researches and applications of ensemble prediction with initial perturbation[J]. Science & Technology Review, 2008,26(19):90-95(in Chinese). 郑峰. 集合预报初值扰动在天气预报中的应用研究进展[J]. 科技导报,2008,26(19):90-95.
[34] Hu J T, Fennel K, Mattern J P, et al. Data assimilation with a local ensemble Kalman filter applied to a three-dimensional biological model of the middle atlantic bight[J]. Journal of Marine System, 2012, 94:145-156.
Outlines

/