The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance
One of the primary goals of launching an ocean color satellite is to obtain over the global ocean synoptic measurements of primary production (PP), a measure of phytoplankton photosynthesis. To reach this ultimate goal, in addition to precise measurements of radiance at the satellite altitude and ro...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2022-01-01
|
| Series: | Journal of Remote Sensing |
| Online Access: | http://dx.doi.org/10.34133/2022/9851013 |
| _version_ | 1818488953869697024 |
|---|---|
| author | Zhongping Lee John F. Marra |
| author_facet | Zhongping Lee John F. Marra |
| author_sort | Zhongping Lee |
| collection | DOAJ |
| description | One of the primary goals of launching an ocean color satellite is to obtain over the global ocean synoptic measurements of primary production (PP), a measure of phytoplankton photosynthesis. To reach this ultimate goal, in addition to precise measurements of radiance at the satellite altitude and robust data processing systems, a key requirement is to link primary production with satellite-derived products, where a model must be developed and applied. Although many models have been developed in the past decades, the vertically generalized production model (VGPM) developed by Behrenfeld and Falkowski, due to its simplicity and ease of use with satellite products, has been a de facto “standard” for the estimation of PP from ocean color measurements over the past 20+ years. Thus, it has significantly influenced the ocean color remote sensing and the biological oceanographic communities. In this article, we discuss the limitations of VGPM (and PP models based on chlorophyll concentration) in estimating primary production. |
| first_indexed | 2024-12-10T16:57:40Z |
| format | Article |
| id | doaj.art-21bf1e65f0124b238350969bba13ff27 |
| institution | Directory Open Access Journal |
| issn | 2694-1589 |
| language | English |
| last_indexed | 2024-12-10T16:57:40Z |
| publishDate | 2022-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Journal of Remote Sensing |
| spelling | doaj.art-21bf1e65f0124b238350969bba13ff272022-12-22T01:40:40ZengAmerican Association for the Advancement of Science (AAAS)Journal of Remote Sensing2694-15892022-01-01202210.34133/2022/9851013The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to DanceZhongping Lee0John F. Marra1State Key Lab of Marine Environmental Science, College of Earth and Ocean Sciences, Xiamen University, Xiamen, China; School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USABrooklyn College of the City University of New York, Brooklyn, NY 11210, USAOne of the primary goals of launching an ocean color satellite is to obtain over the global ocean synoptic measurements of primary production (PP), a measure of phytoplankton photosynthesis. To reach this ultimate goal, in addition to precise measurements of radiance at the satellite altitude and robust data processing systems, a key requirement is to link primary production with satellite-derived products, where a model must be developed and applied. Although many models have been developed in the past decades, the vertically generalized production model (VGPM) developed by Behrenfeld and Falkowski, due to its simplicity and ease of use with satellite products, has been a de facto “standard” for the estimation of PP from ocean color measurements over the past 20+ years. Thus, it has significantly influenced the ocean color remote sensing and the biological oceanographic communities. In this article, we discuss the limitations of VGPM (and PP models based on chlorophyll concentration) in estimating primary production.http://dx.doi.org/10.34133/2022/9851013 |
| spellingShingle | Zhongping Lee John F. Marra The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance Journal of Remote Sensing |
| title | The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance |
| title_full | The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance |
| title_fullStr | The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance |
| title_full_unstemmed | The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance |
| title_short | The Use of VGPM to Estimate Oceanic Primary Production: A “Tango” Difficult to Dance |
| title_sort | use of vgpm to estimate oceanic primary production a tango difficult to dance |
| url | http://dx.doi.org/10.34133/2022/9851013 |
| work_keys_str_mv | AT zhongpinglee theuseofvgpmtoestimateoceanicprimaryproductionatangodifficulttodance AT johnfmarra theuseofvgpmtoestimateoceanicprimaryproductionatangodifficulttodance AT zhongpinglee useofvgpmtoestimateoceanicprimaryproductionatangodifficulttodance AT johnfmarra useofvgpmtoestimateoceanicprimaryproductionatangodifficulttodance |