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Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates
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| Zeitschriftentitel: | Journal of Geophysical Research: Oceans |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Journal of Geophysical Research: Oceans, 116, 2011, C11 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
|
| Schlagwörter: |
| author_facet |
Arrigo, Kevin R. Matrai, Patricia A. van Dijken, Gert L. Arrigo, Kevin R. Matrai, Patricia A. van Dijken, Gert L. |
|---|---|
| author |
Arrigo, Kevin R. Matrai, Patricia A. van Dijken, Gert L. |
| spellingShingle |
Arrigo, Kevin R. Matrai, Patricia A. van Dijken, Gert L. Journal of Geophysical Research: Oceans Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| author_sort |
arrigo, kevin r. |
| spelling |
Arrigo, Kevin R. Matrai, Patricia A. van Dijken, Gert L. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2011jc007273 <jats:p>The Arctic Ocean is an optically complex environment and presents unique challenges for ocean color satellite remote sensing. Phytoplankton pigment packaging, high concentrations of chromophoric dissolved organic matter (CDOM), and the frequent presence of subsurface chlorophyll <jats:italic>a</jats:italic> (Chl <jats:italic>a</jats:italic>) maxima (SCM), complicate satellite measurement of surface Chl <jats:italic>a</jats:italic>. However, the impact of likely errors in surface Chl <jats:italic>a</jats:italic> on satellite‐based estimates of depth‐integrated daily net primary production (NPP) have yet to be quantified. Here we use a large in situ Chl <jats:italic>a</jats:italic> and primary production database (ARCSS‐PP) to calculate the magnitude of the error that likely results from both omission of SCM and overestimated phytoplankton biomass when satellite‐based Chl <jats:italic>a</jats:italic> is used as input to an NPP algorithm. Results show that errors in pan‐Arctic NPP, due to omission of the SCM, increase from 0.2% in January to 16% in July and are largest in the Beaufort and Chukchi Sea. Over an annual cycle, the error is approximately 8%. Errors in regional NPP resulting from overestimates of surface Chl <jats:italic>a</jats:italic> by Sea‐viewing Wide Field‐of‐view Sensor can be larger, particularly when surface Chl <jats:italic>a</jats:italic> and NPP are low, but are partially offset by underestimates in NPP due to omission of NPP at the SCM. As a result, the combined effect of underestimates in NPP due to omission of the SCM and overestimates in NPP due to high satellite Chl <jats:italic>a</jats:italic> yields a total error in annual pan‐Arctic, depth‐integrated NPP of <1%. The reasons for this surprisingly low error are discussed.</jats:p> Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates Journal of Geophysical Research: Oceans |
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10.1029/2011jc007273 |
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Geologie und Paläontologie Geographie Chemie und Pharmazie Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft Biologie Allgemeine Naturwissenschaft Physik Technik |
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| title |
Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_unstemmed |
Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_full |
Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_fullStr |
Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_full_unstemmed |
Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_short |
Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_sort |
primary productivity in the arctic ocean: impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| topic |
Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| url |
http://dx.doi.org/10.1029/2011jc007273 |
| publishDate |
2011 |
| physical |
|
| description |
<jats:p>The Arctic Ocean is an optically complex environment and presents unique challenges for ocean color satellite remote sensing. Phytoplankton pigment packaging, high concentrations of chromophoric dissolved organic matter (CDOM), and the frequent presence of subsurface chlorophyll <jats:italic>a</jats:italic> (Chl <jats:italic>a</jats:italic>) maxima (SCM), complicate satellite measurement of surface Chl <jats:italic>a</jats:italic>. However, the impact of likely errors in surface Chl <jats:italic>a</jats:italic> on satellite‐based estimates of depth‐integrated daily net primary production (NPP) have yet to be quantified. Here we use a large in situ Chl <jats:italic>a</jats:italic> and primary production database (ARCSS‐PP) to calculate the magnitude of the error that likely results from both omission of SCM and overestimated phytoplankton biomass when satellite‐based Chl <jats:italic>a</jats:italic> is used as input to an NPP algorithm. Results show that errors in pan‐Arctic NPP, due to omission of the SCM, increase from 0.2% in January to 16% in July and are largest in the Beaufort and Chukchi Sea. Over an annual cycle, the error is approximately 8%. Errors in regional NPP resulting from overestimates of surface Chl <jats:italic>a</jats:italic> by Sea‐viewing Wide Field‐of‐view Sensor can be larger, particularly when surface Chl <jats:italic>a</jats:italic> and NPP are low, but are partially offset by underestimates in NPP due to omission of NPP at the SCM. As a result, the combined effect of underestimates in NPP due to omission of the SCM and overestimates in NPP due to high satellite Chl <jats:italic>a</jats:italic> yields a total error in annual pan‐Arctic, depth‐integrated NPP of <1%. The reasons for this surprisingly low error are discussed.</jats:p> |
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| author | Arrigo, Kevin R., Matrai, Patricia A., van Dijken, Gert L. |
| author_facet | Arrigo, Kevin R., Matrai, Patricia A., van Dijken, Gert L., Arrigo, Kevin R., Matrai, Patricia A., van Dijken, Gert L. |
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| description | <jats:p>The Arctic Ocean is an optically complex environment and presents unique challenges for ocean color satellite remote sensing. Phytoplankton pigment packaging, high concentrations of chromophoric dissolved organic matter (CDOM), and the frequent presence of subsurface chlorophyll <jats:italic>a</jats:italic> (Chl <jats:italic>a</jats:italic>) maxima (SCM), complicate satellite measurement of surface Chl <jats:italic>a</jats:italic>. However, the impact of likely errors in surface Chl <jats:italic>a</jats:italic> on satellite‐based estimates of depth‐integrated daily net primary production (NPP) have yet to be quantified. Here we use a large in situ Chl <jats:italic>a</jats:italic> and primary production database (ARCSS‐PP) to calculate the magnitude of the error that likely results from both omission of SCM and overestimated phytoplankton biomass when satellite‐based Chl <jats:italic>a</jats:italic> is used as input to an NPP algorithm. Results show that errors in pan‐Arctic NPP, due to omission of the SCM, increase from 0.2% in January to 16% in July and are largest in the Beaufort and Chukchi Sea. Over an annual cycle, the error is approximately 8%. Errors in regional NPP resulting from overestimates of surface Chl <jats:italic>a</jats:italic> by Sea‐viewing Wide Field‐of‐view Sensor can be larger, particularly when surface Chl <jats:italic>a</jats:italic> and NPP are low, but are partially offset by underestimates in NPP due to omission of NPP at the SCM. As a result, the combined effect of underestimates in NPP due to omission of the SCM and overestimates in NPP due to high satellite Chl <jats:italic>a</jats:italic> yields a total error in annual pan‐Arctic, depth‐integrated NPP of <1%. The reasons for this surprisingly low error are discussed.</jats:p> |
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| finc_class_facet | Geologie und Paläontologie, Geographie, Chemie und Pharmazie, Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft, Biologie, Allgemeine Naturwissenschaft, Physik, Technik |
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| imprint_str_mv | American Geophysical Union (AGU), 2011 |
| institution | DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15 |
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| spelling | Arrigo, Kevin R. Matrai, Patricia A. van Dijken, Gert L. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2011jc007273 <jats:p>The Arctic Ocean is an optically complex environment and presents unique challenges for ocean color satellite remote sensing. Phytoplankton pigment packaging, high concentrations of chromophoric dissolved organic matter (CDOM), and the frequent presence of subsurface chlorophyll <jats:italic>a</jats:italic> (Chl <jats:italic>a</jats:italic>) maxima (SCM), complicate satellite measurement of surface Chl <jats:italic>a</jats:italic>. However, the impact of likely errors in surface Chl <jats:italic>a</jats:italic> on satellite‐based estimates of depth‐integrated daily net primary production (NPP) have yet to be quantified. Here we use a large in situ Chl <jats:italic>a</jats:italic> and primary production database (ARCSS‐PP) to calculate the magnitude of the error that likely results from both omission of SCM and overestimated phytoplankton biomass when satellite‐based Chl <jats:italic>a</jats:italic> is used as input to an NPP algorithm. Results show that errors in pan‐Arctic NPP, due to omission of the SCM, increase from 0.2% in January to 16% in July and are largest in the Beaufort and Chukchi Sea. Over an annual cycle, the error is approximately 8%. Errors in regional NPP resulting from overestimates of surface Chl <jats:italic>a</jats:italic> by Sea‐viewing Wide Field‐of‐view Sensor can be larger, particularly when surface Chl <jats:italic>a</jats:italic> and NPP are low, but are partially offset by underestimates in NPP due to omission of NPP at the SCM. As a result, the combined effect of underestimates in NPP due to omission of the SCM and overestimates in NPP due to high satellite Chl <jats:italic>a</jats:italic> yields a total error in annual pan‐Arctic, depth‐integrated NPP of <1%. The reasons for this surprisingly low error are discussed.</jats:p> Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates Journal of Geophysical Research: Oceans |
| spellingShingle | Arrigo, Kevin R., Matrai, Patricia A., van Dijken, Gert L., Journal of Geophysical Research: Oceans, Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| title | Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_full | Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_fullStr | Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_full_unstemmed | Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_short | Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_sort | primary productivity in the arctic ocean: impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| title_unstemmed | Primary productivity in the Arctic Ocean: Impacts of complex optical properties and subsurface chlorophyll maxima on large‐scale estimates |
| topic | Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| url | http://dx.doi.org/10.1029/2011jc007273 |