Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2
A global database of approximately 1.7 million observations of the partial pressure of carbon dioxide in surface ocean waters (pCO2) collected between 1970 and 2003 is used to estimate its spatial autocorrelation structure. The patterns of the lag distance where the autocorrelation exceeds 0.8 is si...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20040171617 2023-05-15T18:28:37+02:00 Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 Adamec, David Li, Zhen Takahashi, Taro Sutherland, Stewart C. Unclassified, Unlimited, Publicly available [2004] application/pdf http://hdl.handle.net/2060/20040171617 unknown Document ID: 20040171617 http://hdl.handle.net/2060/20040171617 Copyright, Distribution as joint owner in the copyright CASI Oceanography 2004 ftnasantrs 2019-07-21T07:40:43Z A global database of approximately 1.7 million observations of the partial pressure of carbon dioxide in surface ocean waters (pCO2) collected between 1970 and 2003 is used to estimate its spatial autocorrelation structure. The patterns of the lag distance where the autocorrelation exceeds 0.8 is similar to patterns in the spatial distribution of the first baroclinic Rossby radius of deformation indicating that ocean circulation processes play a significant role in determining the spatial variability of pCO2. For example, the global maximum of the distance at which autocorrelations exceed 0.8 averages about 140 km in the equatorial Pacific. Also, the lag distance at which the autocorrelation exceed 0.8 is greater in the vicinity of the Gulf Stream than it is near the Kuroshio, approximately 50 km near the Gulf Stream as opposed to 20 km near the Kuroshio. Separate calculations for times when the sun is north and south of the equator revealed no obvious seasonal dependence of the spatial autocorrelation scales. The pCO2 measurements at Ocean Weather Station (OWS) 'P', in the eastern subarctic Pacific (50 N, 145 W) is the only fixed location where an uninterrupted time series of sufficient length exists to calculate a meaningful temporal autocorrelation function for lags greater than a few days. The estimated temporal autocorrelation function at OWS 'P', is highly variable. A spectral analysis of the longest four pCO2 time series indicates a high level of variability occurring over periods from the atmospheric synoptic to the maximum length of the time series, in this case 42 days. It is likely that a relative peak in variability with a period of 3-6 days is related to atmospheric synoptic period variability and ocean mixing events due to wind stirring. However, the short length of available time series makes identifying temporal relationships between pCO2 and atmospheric or ocean processes problematic. Other/Unknown Material Subarctic NASA Technical Reports Server (NTRS) Pacific |
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NASA Technical Reports Server (NTRS) |
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Oceanography |
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Oceanography Adamec, David Li, Zhen Takahashi, Taro Sutherland, Stewart C. Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 |
topic_facet |
Oceanography |
description |
A global database of approximately 1.7 million observations of the partial pressure of carbon dioxide in surface ocean waters (pCO2) collected between 1970 and 2003 is used to estimate its spatial autocorrelation structure. The patterns of the lag distance where the autocorrelation exceeds 0.8 is similar to patterns in the spatial distribution of the first baroclinic Rossby radius of deformation indicating that ocean circulation processes play a significant role in determining the spatial variability of pCO2. For example, the global maximum of the distance at which autocorrelations exceed 0.8 averages about 140 km in the equatorial Pacific. Also, the lag distance at which the autocorrelation exceed 0.8 is greater in the vicinity of the Gulf Stream than it is near the Kuroshio, approximately 50 km near the Gulf Stream as opposed to 20 km near the Kuroshio. Separate calculations for times when the sun is north and south of the equator revealed no obvious seasonal dependence of the spatial autocorrelation scales. The pCO2 measurements at Ocean Weather Station (OWS) 'P', in the eastern subarctic Pacific (50 N, 145 W) is the only fixed location where an uninterrupted time series of sufficient length exists to calculate a meaningful temporal autocorrelation function for lags greater than a few days. The estimated temporal autocorrelation function at OWS 'P', is highly variable. A spectral analysis of the longest four pCO2 time series indicates a high level of variability occurring over periods from the atmospheric synoptic to the maximum length of the time series, in this case 42 days. It is likely that a relative peak in variability with a period of 3-6 days is related to atmospheric synoptic period variability and ocean mixing events due to wind stirring. However, the short length of available time series makes identifying temporal relationships between pCO2 and atmospheric or ocean processes problematic. |
author |
Adamec, David Li, Zhen Takahashi, Taro Sutherland, Stewart C. |
author_facet |
Adamec, David Li, Zhen Takahashi, Taro Sutherland, Stewart C. |
author_sort |
Adamec, David |
title |
Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 |
title_short |
Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 |
title_full |
Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 |
title_fullStr |
Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 |
title_full_unstemmed |
Global Autocorrelation Scales of the Partial Pressure of Oceanic CO2 |
title_sort |
global autocorrelation scales of the partial pressure of oceanic co2 |
publishDate |
2004 |
url |
http://hdl.handle.net/2060/20040171617 |
op_coverage |
Unclassified, Unlimited, Publicly available |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Subarctic |
genre_facet |
Subarctic |
op_source |
CASI |
op_relation |
Document ID: 20040171617 http://hdl.handle.net/2060/20040171617 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766211155595886592 |