On the data-driven inference of modulatory networks in climate science: an application to West African rainfall
Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall~variability. Although connections between various climate factors have been theorized, n...
Published in: | Nonlinear Processes in Geophysics |
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00017809 2023-05-15T17:33:22+02:00 On the data-driven inference of modulatory networks in climate science: an application to West African rainfall González II, D. L. Angus, M. P. Tetteh, I. K. Bello, G. A. Padmanabhan, K. Pendse, S. V. Srinivas, S. Yu, J. Semazzi, F. Kumar, V. Samatova, N. F. 2015-01 electronic https://doi.org/10.5194/npg-22-33-2015 https://noa.gwlb.de/receive/cop_mods_00017809 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017764/npg-22-33-2015.pdf https://npg.copernicus.org/articles/22/33/2015/npg-22-33-2015.pdf eng eng Copernicus Publications Nonlinear Processes in Geophysics -- http://www.bibliothek.uni-regensburg.de/ezeit/?2078085 -- http://www.nonlin-processes-geophys.net/ -- http://www.copernicus.org/EGU/npg/npg.htm -- 1607-7946 https://doi.org/10.5194/npg-22-33-2015 https://noa.gwlb.de/receive/cop_mods_00017809 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017764/npg-22-33-2015.pdf https://npg.copernicus.org/articles/22/33/2015/npg-22-33-2015.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2015 ftnonlinearchiv https://doi.org/10.5194/npg-22-33-2015 2022-02-08T22:53:29Z Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall~variability. Although connections between various climate factors have been theorized, not all of the key relationships are fully understood. We propose a data-driven approach to identify candidate players in this climate system, which can help explain underlying mechanisms and/or even suggest new relationships, to facilitate building a more comprehensive and predictive model of the modulatory relationships influencing a climate phenomenon of interest. We applied coupled heterogeneous association rule mining (CHARM), Lasso multivariate regression, and dynamic Bayesian networks to find relationships within a complex system, and explored means with which to obtain a consensus result from the application of such varied methodologies. Using this fusion of approaches, we identified relationships among climate factors that modulate Sahel rainfall. These relationships fall into two categories: well-known associations from prior climate knowledge, such as the relationship with the El Niño–Southern Oscillation (ENSO) and putative links, such as North Atlantic Oscillation, that invite further research. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Niedersächsisches Online-Archiv NOA Nonlinear Processes in Geophysics 22 1 33 46 |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung González II, D. L. Angus, M. P. Tetteh, I. K. Bello, G. A. Padmanabhan, K. Pendse, S. V. Srinivas, S. Yu, J. Semazzi, F. Kumar, V. Samatova, N. F. On the data-driven inference of modulatory networks in climate science: an application to West African rainfall |
topic_facet |
article Verlagsveröffentlichung |
description |
Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall~variability. Although connections between various climate factors have been theorized, not all of the key relationships are fully understood. We propose a data-driven approach to identify candidate players in this climate system, which can help explain underlying mechanisms and/or even suggest new relationships, to facilitate building a more comprehensive and predictive model of the modulatory relationships influencing a climate phenomenon of interest. We applied coupled heterogeneous association rule mining (CHARM), Lasso multivariate regression, and dynamic Bayesian networks to find relationships within a complex system, and explored means with which to obtain a consensus result from the application of such varied methodologies. Using this fusion of approaches, we identified relationships among climate factors that modulate Sahel rainfall. These relationships fall into two categories: well-known associations from prior climate knowledge, such as the relationship with the El Niño–Southern Oscillation (ENSO) and putative links, such as North Atlantic Oscillation, that invite further research. |
format |
Article in Journal/Newspaper |
author |
González II, D. L. Angus, M. P. Tetteh, I. K. Bello, G. A. Padmanabhan, K. Pendse, S. V. Srinivas, S. Yu, J. Semazzi, F. Kumar, V. Samatova, N. F. |
author_facet |
González II, D. L. Angus, M. P. Tetteh, I. K. Bello, G. A. Padmanabhan, K. Pendse, S. V. Srinivas, S. Yu, J. Semazzi, F. Kumar, V. Samatova, N. F. |
author_sort |
González II, D. L. |
title |
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall |
title_short |
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall |
title_full |
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall |
title_fullStr |
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall |
title_full_unstemmed |
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall |
title_sort |
on the data-driven inference of modulatory networks in climate science: an application to west african rainfall |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/npg-22-33-2015 https://noa.gwlb.de/receive/cop_mods_00017809 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017764/npg-22-33-2015.pdf https://npg.copernicus.org/articles/22/33/2015/npg-22-33-2015.pdf |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
Nonlinear Processes in Geophysics -- http://www.bibliothek.uni-regensburg.de/ezeit/?2078085 -- http://www.nonlin-processes-geophys.net/ -- http://www.copernicus.org/EGU/npg/npg.htm -- 1607-7946 https://doi.org/10.5194/npg-22-33-2015 https://noa.gwlb.de/receive/cop_mods_00017809 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017764/npg-22-33-2015.pdf https://npg.copernicus.org/articles/22/33/2015/npg-22-33-2015.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/npg-22-33-2015 |
container_title |
Nonlinear Processes in Geophysics |
container_volume |
22 |
container_issue |
1 |
container_start_page |
33 |
op_container_end_page |
46 |
_version_ |
1766131849919201280 |