Premium
Incremental approach to the optimal network design for CO 2 surface source inversion
Author(s) -
Patra Prabir K.,
Maksyutov Shamil
Publication year - 2002
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2001gl013943
Subject(s) - simulated annealing , inversion (geology) , network planning and design , inverse , flux (metallurgy) , computer science , extension (predicate logic) , inverse problem , environmental science , mathematical optimization , algorithm , mathematics , geology , telecommunications , materials science , seismology , mathematical analysis , geometry , metallurgy , programming language , tectonics
An algorithm for observational network design to obtain maximum constraints on CO 2 flux estimate uncertainty by using inverse modeling and global transport model is presented. The extension to an existing network is made by adding new station locations one by one, based on their positive impact on the flux estimate uncertainty reduction. The approach is named Incremental Optimization (IO). This extension procedure performs equally well or better compared to the well known techniques, such as the simulated annealing, used in combinatorial optimization. We could reduce the estimated total CO 2 flux uncertainty by 59%, 47%, 35%, and 29% relative to a reference network by using IO with additions of 3, 5, 12, and 20 stations, respectively. IO is shown to be efficient in studying various network configurations and re‐emphasizes the need for CO 2 measurements in continental Africa, South America, and Asia.