Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla

The comparison of coincident daily records of the concentration of chlorophyll a (Chla) derived from SeaWiFS and MODIS can provide the distribution of the standard deviation sigma associated with the zero-mean random component of the uncertainty budget. The proposed approach does not quantify the bi...

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Published in:IEEE Geoscience and Remote Sensing Letters
Main Author: MELIN Frederic
Language:English
Published: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2010
Subjects:
Online Access:https://publications.jrc.ec.europa.eu/repository/handle/JRC53959
https://doi.org/10.1109/LGRS.2009.2031825
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spelling ftjrc:oai:publications.jrc.ec.europa.eu:JRC53959 2023-05-15T13:44:28+02:00 Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla MELIN Frederic 2010 Printed https://publications.jrc.ec.europa.eu/repository/handle/JRC53959 https://doi.org/10.1109/LGRS.2009.2031825 ENG eng IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC JRC53959 2010 ftjrc https://doi.org/10.1109/LGRS.2009.2031825 2022-05-01T08:16:19Z The comparison of coincident daily records of the concentration of chlorophyll a (Chla) derived from SeaWiFS and MODIS can provide the distribution of the standard deviation sigma associated with the zero-mean random component of the uncertainty budget. The proposed approach does not quantify the bias characterizing the Chla satellite product but it is spatially and temporally resolved and thus appears as a useful complement to validation exercises with in situ data. The global median of sigma is equal to 0.074 for log-transformed Chla. Values of sigma around or larger than 0.1 are found in a significant part of the ocean, including the centers of the subtropical gyres, some Arctic and Antarctic areas or eastern boundary upwelling regions. In general, sigma increases at the low and high ends of the Chla range whereas it is lowest in the interval 0.1-0.3 mg m^-3. JRC.DDG.H.3 - Global environement monitoring Other/Unknown Material Antarc* Antarctic Arctic Joint Research Centre, European Commission: JRC Publications Repository Arctic Antarctic IEEE Geoscience and Remote Sensing Letters 7 1 220 224
institution Open Polar
collection Joint Research Centre, European Commission: JRC Publications Repository
op_collection_id ftjrc
language English
description The comparison of coincident daily records of the concentration of chlorophyll a (Chla) derived from SeaWiFS and MODIS can provide the distribution of the standard deviation sigma associated with the zero-mean random component of the uncertainty budget. The proposed approach does not quantify the bias characterizing the Chla satellite product but it is spatially and temporally resolved and thus appears as a useful complement to validation exercises with in situ data. The global median of sigma is equal to 0.074 for log-transformed Chla. Values of sigma around or larger than 0.1 are found in a significant part of the ocean, including the centers of the subtropical gyres, some Arctic and Antarctic areas or eastern boundary upwelling regions. In general, sigma increases at the low and high ends of the Chla range whereas it is lowest in the interval 0.1-0.3 mg m^-3. JRC.DDG.H.3 - Global environement monitoring
author MELIN Frederic
spellingShingle MELIN Frederic
Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla
author_facet MELIN Frederic
author_sort MELIN Frederic
title Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla
title_short Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla
title_full Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla
title_fullStr Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla
title_full_unstemmed Global Distribution of the Random Uncertainty Associated with Satellite Derived Chla
title_sort global distribution of the random uncertainty associated with satellite derived chla
publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publishDate 2010
url https://publications.jrc.ec.europa.eu/repository/handle/JRC53959
https://doi.org/10.1109/LGRS.2009.2031825
geographic Arctic
Antarctic
geographic_facet Arctic
Antarctic
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_relation JRC53959
op_doi https://doi.org/10.1109/LGRS.2009.2031825
container_title IEEE Geoscience and Remote Sensing Letters
container_volume 7
container_issue 1
container_start_page 220
op_container_end_page 224
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