The influence of input uncertainties on remotely sensed estimates of ocean primary productivity

Temporally and spatially dense estimates of oceanic phytoplankton net primary productivity (NPP), which are commonly derived by mathematical models from satellite observations of ocean colour, are a cornerstone of current research efforts focused on the state and variability of ecosystems, biogeoche...

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Published in:Remote Sensing of Environment
Main Author: Milutinović, Svetlana
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: The University of Bergen 2011
Subjects:
Online Access:https://hdl.handle.net/1956/4819
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spelling ftunivbergen:oai:bora.uib.no:1956/4819 2023-05-15T17:36:30+02:00 The influence of input uncertainties on remotely sensed estimates of ocean primary productivity Milutinović, Svetlana 2011-06-10 application/pdf https://hdl.handle.net/1956/4819 eng eng The University of Bergen Paper I: Global Biogeochemical Cycles 23, GB4005, Milutinović, Svetlana; Behrenfeld, Michael J.; Johannessen, Johnny A. and Truls Johannessen, Sensitivity of Remote Sensing–Derived Phytoplankton Productivity to Mixed Layer Depth: Lessons from the Carbon-based Productivity Model. Published version. Copyright 2009 American Geophysical Union. Paper II: Remote Sensing of Environment 115(8), Svetlana Milutinović and Laurent Bertino, Assessment and Propagation of Uncertainties in Input Terms through an Ocean-Colour-Based Model of Primary Productivity. Accepted version. Copyright 2011 Elsevier. The published version is available at: http://dx.doi.org/10.1016/j.rse.2011.03.013 Paper III: Svetlana Milutinović, Uncertainty in a Model for Estimating Euphotic Depth from Satellite Observations of Chlorophyll. Published 2011 in NERSC Special Report 88, Nansen Environmental and Remote Sensing Center, Bergen, Norway. urn:isbn:978-82-308-1771-1 (print version) https://hdl.handle.net/1956/4819 Attribution-NonCommercial CC BY-NC http://creativecommons.org/licenses/by-nc/3.0/ The author Copyright the author. Some rights reserved. The permission for use of this work is granted in accordance with the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported License. VDP::Mathematics and natural science: 400::Physics: 430 Doctoral thesis 2011 ftunivbergen https://doi.org/10.1016/j.rse.2011.03.013 2023-03-14T17:40:40Z Temporally and spatially dense estimates of oceanic phytoplankton net primary productivity (NPP), which are commonly derived by mathematical models from satellite observations of ocean colour, are a cornerstone of current research efforts focused on the state and variability of ecosystems, biogeochemical cycles and climate. Using two exemplary NPP models, it was examined how uncertainties in model input terms might affect the accuracy of the output. In the first part of the dissertation, the response of NPP estimates to perturbing input values of mixed layer depth (MLD) was analyzed. Four series of NPP fields, two global and two covering the North Atlantic, were computed in monthly intervals during a period of several years. Each of the series resulted from identical remote sensing data but different MLD input. Due to the influence of MLD on the availability of light for photosynthesis, the NPP estimates were overall inversely related to MLD. However, the degree of this relationship varied considerably in space and time over most of the world ocean. During summer, NPP at middle and high latitudes was appreciably sensitive even to small MLD fluctuations, but had little or no response to large MLD perturbations in winter. On the other hand, subtropical regions were characterized by a largely opposite seasonal pattern. Tropical areas showed no seasonality and, apart from the equatorial Pacific, exhibited little sensitivity of NPP to MLD uncertainties. The observed variability in the NPP response was attributed not only to the model’s nonlinearity, but also to the presence of the photosynthetic saturation/limitation thresholds, as well as to the coincident sea surface irradiance and, in particular, the diffuse attenuation coefficient for downward irradiance (Kd). It was shown that Kd could be used as an indicator of the NPP sensitivity to uncertainties in MLD, the greatest sensitivity being associated with very large Kd values. Maximum differences between areally integrated annual NPP estimates, based on different ... Doctoral or Postdoctoral Thesis North Atlantic University of Bergen: Bergen Open Research Archive (BORA-UiB) Pacific Remote Sensing of Environment 115 8 1906 1917
institution Open Polar
collection University of Bergen: Bergen Open Research Archive (BORA-UiB)
op_collection_id ftunivbergen
language English
topic VDP::Mathematics and natural science: 400::Physics: 430
spellingShingle VDP::Mathematics and natural science: 400::Physics: 430
Milutinović, Svetlana
The influence of input uncertainties on remotely sensed estimates of ocean primary productivity
topic_facet VDP::Mathematics and natural science: 400::Physics: 430
description Temporally and spatially dense estimates of oceanic phytoplankton net primary productivity (NPP), which are commonly derived by mathematical models from satellite observations of ocean colour, are a cornerstone of current research efforts focused on the state and variability of ecosystems, biogeochemical cycles and climate. Using two exemplary NPP models, it was examined how uncertainties in model input terms might affect the accuracy of the output. In the first part of the dissertation, the response of NPP estimates to perturbing input values of mixed layer depth (MLD) was analyzed. Four series of NPP fields, two global and two covering the North Atlantic, were computed in monthly intervals during a period of several years. Each of the series resulted from identical remote sensing data but different MLD input. Due to the influence of MLD on the availability of light for photosynthesis, the NPP estimates were overall inversely related to MLD. However, the degree of this relationship varied considerably in space and time over most of the world ocean. During summer, NPP at middle and high latitudes was appreciably sensitive even to small MLD fluctuations, but had little or no response to large MLD perturbations in winter. On the other hand, subtropical regions were characterized by a largely opposite seasonal pattern. Tropical areas showed no seasonality and, apart from the equatorial Pacific, exhibited little sensitivity of NPP to MLD uncertainties. The observed variability in the NPP response was attributed not only to the model’s nonlinearity, but also to the presence of the photosynthetic saturation/limitation thresholds, as well as to the coincident sea surface irradiance and, in particular, the diffuse attenuation coefficient for downward irradiance (Kd). It was shown that Kd could be used as an indicator of the NPP sensitivity to uncertainties in MLD, the greatest sensitivity being associated with very large Kd values. Maximum differences between areally integrated annual NPP estimates, based on different ...
format Doctoral or Postdoctoral Thesis
author Milutinović, Svetlana
author_facet Milutinović, Svetlana
author_sort Milutinović, Svetlana
title The influence of input uncertainties on remotely sensed estimates of ocean primary productivity
title_short The influence of input uncertainties on remotely sensed estimates of ocean primary productivity
title_full The influence of input uncertainties on remotely sensed estimates of ocean primary productivity
title_fullStr The influence of input uncertainties on remotely sensed estimates of ocean primary productivity
title_full_unstemmed The influence of input uncertainties on remotely sensed estimates of ocean primary productivity
title_sort influence of input uncertainties on remotely sensed estimates of ocean primary productivity
publisher The University of Bergen
publishDate 2011
url https://hdl.handle.net/1956/4819
geographic Pacific
geographic_facet Pacific
genre North Atlantic
genre_facet North Atlantic
op_relation Paper I: Global Biogeochemical Cycles 23, GB4005, Milutinović, Svetlana; Behrenfeld, Michael J.; Johannessen, Johnny A. and Truls Johannessen, Sensitivity of Remote Sensing–Derived Phytoplankton Productivity to Mixed Layer Depth: Lessons from the Carbon-based Productivity Model. Published version. Copyright 2009 American Geophysical Union.
Paper II: Remote Sensing of Environment 115(8), Svetlana Milutinović and Laurent Bertino, Assessment and Propagation of Uncertainties in Input Terms through an Ocean-Colour-Based Model of Primary Productivity. Accepted version. Copyright 2011 Elsevier. The published version is available at: http://dx.doi.org/10.1016/j.rse.2011.03.013
Paper III: Svetlana Milutinović, Uncertainty in a Model for Estimating Euphotic Depth from Satellite Observations of Chlorophyll. Published 2011 in NERSC Special Report 88, Nansen Environmental and Remote Sensing Center, Bergen, Norway.
urn:isbn:978-82-308-1771-1 (print version)
https://hdl.handle.net/1956/4819
op_rights Attribution-NonCommercial CC BY-NC
http://creativecommons.org/licenses/by-nc/3.0/
The author
Copyright the author. Some rights reserved. The permission for use of this work is granted in accordance with the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported License.
op_doi https://doi.org/10.1016/j.rse.2011.03.013
container_title Remote Sensing of Environment
container_volume 115
container_issue 8
container_start_page 1906
op_container_end_page 1917
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