Tracer–tracer relation in the Arctic stratosphere using fuzzy logic

K. Satheesan

doi:10.3402/tellusb.v64i0.17164

Tracer–tracer relation in the Arctic stratosphere using fuzzy logic

Tellus B: Chemical and Physical Meteorology

Volume 64 (2012): Issue 1

By: K. Satheesan

Open Access

|Jan 2012

Abstract

Potential of finding a robust tracer–tracer relation using an approach based on fuzzy logic in the Arctic stratosphere using satellite observations of O₃ and N₂O has been demonstrated. Using this tracer–tracer relation, O₃ is predicted in terms of N₂O, latitude, longitude, altitude and day of the year. The model for O₃ based on this approach has been validated with independent observations and has been found to be superior to those based on regression. This method has the potential to generate long time series of chemical species data from different satellite sensors in a self-consistent manner. These data have use in model evaluations and data assimilation.

References

Angelov P. P , Filev D. P . An approach to online identification of Takagi-Sugeno fuzzy models . IEEE Trans. Syst. Man Cybern. B Cybern . 2004 ; 34 : 484 – 498 . 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Basu , S , Satheesan , K , Sarkar , A and Kishtawal , C. M . 2005a . Ocean surface wind prediction in the north Indian Ocean from in situ and satellite observations using genetic algorithm . Geophys. Res. Lett . 322 : L24601 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Basu , S , Sarkar , A , Satheesan , K and Kishtawal , C. M . 2005b . Predicting wave heights in the north Indian Ocean using genetic algorithm . Geophys. Res. Lett . 321 : L17608 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Bregman , A , Lelieveld , J , van den Broek , M. M. P , Siegmund , P. C , Fischer , H . and co-authors . 2000 . N₂O and O₃ relationship in the lowermost stratosphere: A diagnostic for mixing processes as represented by a three-dimensional chemistry-transport model . J. Geophys. Res . 105 : 17279 – 17290 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Center B , Verma B. P . Fuzzy logic for biological and agricultural systems . Artif. Intell. Rev . 1998 ; 12 : 213 – 225 . 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Chiu S . Fuzzy model identification based on cluster estimation . J Intel. Fuzzy Syst . 1994 ; 2 ( 3 ): 267 – 278 .
Search in Google Scholar Back to article
Ejiri , M. K , Terao , Y , Sugita , T , Nakajima , H , Yokota , T . and co-authors . 2006 . Validation of the Improved Limb Atmospheric Spectrometer-II (ILAS-II) Version 1.4 nitrous oxide and methane profiles . J. Geophys. Res . 111 : 22 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Jang , J.-S. R , Sun , C.-T and Mizutani , E . 1997 . Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence . Prentice-Hall : Upper Saddle RiverNJ .
Search in Google Scholar Back to article
Khosrawi , F , Müller , R , Proffitt , M. H , Urban , J , Murtagh , D . and co-authors . 2008 . Seasonal cycle of averages of nitrous oxide and ozone in the Northern and Southern Hemisphere polar, midlatitude, and tropical regions derived from ILAS/ILAS-II and Odin/SMR observations . J. Geophys. Res . 113 : D18305 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Kottayil , A , Thapliyal , P. K , Shukla , M. V , Pal , P. K , Joshi , P. C . and co-authors . 2010 . A new technique for temperature and humidity profile retrieval from infrared sounder observations using adaptive neuro-fuzzy inference system . IEEE Trans. Geosci. Remote Sens . 48 : 1650 – 1659 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Kreinovich , V , Quintana , C and Reznik , L . 1992 . Gaussian membership functions are most adequate in representing uncertainty in measurements . In: Proceedings of the North American Fuzzy Information Processing Society Conference, Puerto Vallarta . pp. 618 – 624 . Online at: http://www.cs.utep.edu/vladik/1992/tr92-8.ps.gz .
Search in Google Scholar Back to article
Lary D. J , Müller M. D , Mussa H. Y . Using neural networks to describe tracer correlations . Atmos. Chem. Phys . 2004 ; 4 : 143 – 146 . 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Murphy , D. M and Fahey , D. W . 1994 . An estimate of the flux of stratospheric reactive nitrogen and ozone into the troposphere . J. Geophys. Res . 99 : 5325 – 5332 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Nakajima , H , Sugita , T , Yokota , T , Ishigaki , T , Mogi , Y . and co-authors . 2006 . Characteristics and performance of the Improved Limb Atmospheric Spectrometer-II (ILAS-II) on board the ADEOS-II satellite . J. Geophys. Res . 111 : D11S01 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Natarajan , M and Callis , L. B . 1997 . Ozone variability in the high latitude summer stratosphere . Geophys. Res. Lett . 24 : 1191 – 1194 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Plumb , R. A . 2007 . Tracer interrelationships in the stratosphere . Rev. Geophys . 45 : 4005 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Plumb R. A , Ko M. K. W . Interrelationships between mixing ratios of long-lived stratospheric constituents . J. Geophys. Res . 1992 ; 971 : 10145 – 10156 . 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Randel , W. J and Wu , F . 2007 . A stratospheric ozone profile data set for 1979–2005: Variability, trends, and comparisons with column ozone data . J. Geophys. Res . 112 : 6313 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Satheesan , K and Kirkwood , S . 2010 . Turbulence for different background conditions using fuzzy logic and clustering . Ann. Geophys . 28 : 1475 – 1481 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Sugeno M . Industrial Applications of Fuzzy Control . Elsevier : New York NY , 1985
Search in Google Scholar Back to article
Sugita , T , Nakajima , H , Yokota , T , Kanzawa , H , Gernandt , H . and co-authors . 2006 . Ozone profiles in the high-latitude stratosphere and lower mesosphere measured by the Improved Limb Atmospheric Spectrometer (ILAS)-II: Comparison with other satellite sensors and ozonesondes . J. Geophys. Res.-Atmos . 111 : 11 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Takagi T , Sugeno M . Fuzzy identification of systems and its applications to modeling and control . IEEE Trans. Syst. Man Cybern . 1985 ; 15 : 116 – 132 .
Search in Google Scholar Back to article
Tanaka , T , Nakajima , H , Sugita , T , Ejiri , M. K , Irie , H . and co-authors . 2007 . Tangent height registration method for the version 1.4 data retrieval algorithm of the solar occultation sensor ILAS-II . Appl. Optic . 46 : 7196 – 7201 . 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Waugh , D. W , Hall , T. M and Haine , T. W. N . 2003 . Relationships among tracer ages . J. Geophys. Res.- Oceans . 108 : 3138 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Waugh , D. W , Plumb , R. A , Elkins , J. W , Fahey , D. W , Boering , P. A . and co-authors . 1997 . Mixing of polar vortex air into middle latitudes as revealed by tracer-tracer scatterplots . J. Geophys. Res . 1021 : 13119 – 13134 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article
Zadeh , L . 1965 . Fuzzy sets . Inform Control . 8 : 338 – 353 . DOI: 10.3402/tellusb.v64i0.17164 .
Open DOI Search in Google Scholar Back to article