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Pattern recognition of ocean pH
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| Zeitschriftentitel: | Nonlinear Engineering |
|---|---|
| Personen und Körperschaften: | |
| In: | Nonlinear Engineering, 5, 2016, 3 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Walter de Gruyter GmbH
|
| Schlagwörter: |
| author_facet |
Parker, Albert Parker, Albert |
|---|---|
| author |
Parker, Albert |
| spellingShingle |
Parker, Albert Nonlinear Engineering Pattern recognition of ocean pH Computer Networks and Communications General Engineering Modeling and Simulation General Chemical Engineering |
| author_sort |
parker, albert |
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Parker, Albert 2192-8029 2192-8010 Walter de Gruyter GmbH Computer Networks and Communications General Engineering Modeling and Simulation General Chemical Engineering http://dx.doi.org/10.1515/nleng-2016-0005 <jats:title>Abstract</jats:title><jats:p>The manuscript shows how the few, scattered, latest measurements of ocean pH lacking a proper spatial and time coverage do not permit a meaningful computation of global trends, as the ocean pH is strongly variable in latitude, longitude and depth and very likely is subject to the multi-decadal oscillations that have been identified in the atmospheric and ocean systems. The proposed mathematical model is based on the assumption that the monthly averaged ocean pH may be described by the superposition of a linear trend and inter-annual, decadal and multi-decadal oscillations, with linear and sinusoidal regression coefficients requiring data that are presently unavailable.</jats:p> Pattern recognition of ocean pH Nonlinear Engineering |
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10.1515/nleng-2016-0005 |
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Walter de Gruyter GmbH, 2016 |
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Walter de Gruyter GmbH, 2016 |
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2192-8029 2192-8010 |
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Nonlinear Engineering |
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| title |
Pattern recognition of ocean pH |
| title_unstemmed |
Pattern recognition of ocean pH |
| title_full |
Pattern recognition of ocean pH |
| title_fullStr |
Pattern recognition of ocean pH |
| title_full_unstemmed |
Pattern recognition of ocean pH |
| title_short |
Pattern recognition of ocean pH |
| title_sort |
pattern recognition of ocean ph |
| topic |
Computer Networks and Communications General Engineering Modeling and Simulation General Chemical Engineering |
| url |
http://dx.doi.org/10.1515/nleng-2016-0005 |
| publishDate |
2016 |
| physical |
|
| description |
<jats:title>Abstract</jats:title><jats:p>The manuscript shows how the few, scattered, latest measurements of ocean pH lacking a proper spatial and time coverage do not permit a meaningful computation of global trends, as the ocean pH is strongly variable in latitude, longitude and depth and very likely is subject to the multi-decadal oscillations that have been identified in the atmospheric and ocean systems. The proposed mathematical model is based on the assumption that the monthly averaged ocean pH may be described by the superposition of a linear trend and inter-annual, decadal and multi-decadal oscillations, with linear and sinusoidal regression coefficients requiring data that are presently unavailable.</jats:p> |
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| container_title | Nonlinear Engineering |
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| description | <jats:title>Abstract</jats:title><jats:p>The manuscript shows how the few, scattered, latest measurements of ocean pH lacking a proper spatial and time coverage do not permit a meaningful computation of global trends, as the ocean pH is strongly variable in latitude, longitude and depth and very likely is subject to the multi-decadal oscillations that have been identified in the atmospheric and ocean systems. The proposed mathematical model is based on the assumption that the monthly averaged ocean pH may be described by the superposition of a linear trend and inter-annual, decadal and multi-decadal oscillations, with linear and sinusoidal regression coefficients requiring data that are presently unavailable.</jats:p> |
| doi_str_mv | 10.1515/nleng-2016-0005 |
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| imprint | Walter de Gruyter GmbH, 2016 |
| imprint_str_mv | Walter de Gruyter GmbH, 2016 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| series | Nonlinear Engineering |
| source_id | 49 |
| spelling | Parker, Albert 2192-8029 2192-8010 Walter de Gruyter GmbH Computer Networks and Communications General Engineering Modeling and Simulation General Chemical Engineering http://dx.doi.org/10.1515/nleng-2016-0005 <jats:title>Abstract</jats:title><jats:p>The manuscript shows how the few, scattered, latest measurements of ocean pH lacking a proper spatial and time coverage do not permit a meaningful computation of global trends, as the ocean pH is strongly variable in latitude, longitude and depth and very likely is subject to the multi-decadal oscillations that have been identified in the atmospheric and ocean systems. The proposed mathematical model is based on the assumption that the monthly averaged ocean pH may be described by the superposition of a linear trend and inter-annual, decadal and multi-decadal oscillations, with linear and sinusoidal regression coefficients requiring data that are presently unavailable.</jats:p> Pattern recognition of ocean pH Nonlinear Engineering |
| spellingShingle | Parker, Albert, Nonlinear Engineering, Pattern recognition of ocean pH, Computer Networks and Communications, General Engineering, Modeling and Simulation, General Chemical Engineering |
| title | Pattern recognition of ocean pH |
| title_full | Pattern recognition of ocean pH |
| title_fullStr | Pattern recognition of ocean pH |
| title_full_unstemmed | Pattern recognition of ocean pH |
| title_short | Pattern recognition of ocean pH |
| title_sort | pattern recognition of ocean ph |
| title_unstemmed | Pattern recognition of ocean pH |
| topic | Computer Networks and Communications, General Engineering, Modeling and Simulation, General Chemical Engineering |
| url | http://dx.doi.org/10.1515/nleng-2016-0005 |