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...
Published in: | IEEE Geoscience and Remote Sensing Letters |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2010
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Online Access: | https://publications.jrc.ec.europa.eu/repository/handle/JRC53959 https://doi.org/10.1109/LGRS.2009.2031825 |
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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 |
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Open Polar |
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Joint Research Centre, European Commission: JRC Publications Repository |
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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 |
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7 |
container_issue |
1 |
container_start_page |
220 |
op_container_end_page |
224 |
_version_ |
1766202102532538368 |