TY - CHAP
T1 - Factor separation in atmosphic modelling a review
AU - Sholokhman, T.
AU - Alpert, P.
PY - 2007
Y1 - 2007
N2 - This paper presents a review of the factor separation (FS) technique and its fractional approach. The work focuses on two points. First, the FS methodology is applied to some fundamental mathematical functions. For each function we define the constrains for the factor values, by investigating the function under three different synergy states: synergy term equals zero; is opposite in its sign to the factors' contributions, or is dominant. Second, the application of the method is demonstrated with a simplified atmospheric problem with an analytical solution, i.e., the Haurwitz sea-breeze (SB) model. The FS method also assists in analyzing the effects of the dominant and secondary factors in given physical models that have analytical solutions. Study of factors with the FS methodology allows a better understanding of the various mechanisms and particularly the role of their interactions-synergies in atmospheric dynamics.
AB - This paper presents a review of the factor separation (FS) technique and its fractional approach. The work focuses on two points. First, the FS methodology is applied to some fundamental mathematical functions. For each function we define the constrains for the factor values, by investigating the function under three different synergy states: synergy term equals zero; is opposite in its sign to the factors' contributions, or is dominant. Second, the application of the method is demonstrated with a simplified atmospheric problem with an analytical solution, i.e., the Haurwitz sea-breeze (SB) model. The FS method also assists in analyzing the effects of the dominant and secondary factors in given physical models that have analytical solutions. Study of factors with the FS methodology allows a better understanding of the various mechanisms and particularly the role of their interactions-synergies in atmospheric dynamics.
KW - Atmospheric dynamics
KW - Factor separation
KW - Synergy states
UR - http://www.scopus.com/inward/record.url?scp=34250711719&partnerID=8YFLogxK
U2 - 10.1007/978-1-4020-5877-6_16
DO - 10.1007/978-1-4020-5877-6_16
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AN - SCOPUS:34250711719
SN - 1402058756
SN - 9781402058752
T3 - NATO Security through Science Series C: Environmental Security
SP - 165
EP - 180
BT - Air, Water and Soil Quality Modelling for Risk and Impact Assessment
PB - Dordrecht: Springer Netherlands
ER -