{"help":"https://catalogue.cioos.ca/api/3/action/help_show?name=package_show","success":true,"result":{"id":"b7cbdce4-de76-4203-9d02-61fe175c4d44","ecv":[],"eov":["phytoplanktonBiomassAndDiversity","oceanColour"],"url":null,"name":"ca-cioos_473fe40d-613e-4aba-b335-7a31a04e5d691","tags":[],"type":"dataset","notes":"Ce jeu de données contient les mesures dérivées de l'ajustement d'une courbe gaussienne décalée à une série temporelle de concentrations quotidiennes de chlorophylle-a mesurées en surface (Chl-a) par dérivée par satellite avec une résolution de 4 km pour chaque pixel pour une année donnée. La procédure d'ajustement est la même que celle utilisée dans l'application PhytoFit R-shiny (https://github.com/BIO-RSG/PhytoFit) pour modéliser la floraison printanière de phytoplancton dans une région d'intérêt sélectionnée par l'utilisateur. Les paramètres dérivés de la floraison printanière comprennent le jour de l'année du début de la floraison et sa durée, la chl-a maximale et la chl-a totale produite pendant la période de floraison, ainsi que la chl-a annuelle moyenne. Chaque année contient ces cinq couches ainsi que deux couches décrivant la qualité des données et la précision de l'ajustement gaussien. Les mesures couvrent une zone s'étendant sur l'Atlantique Nord-Ouest (39-66°N, 42-76°O, à l'exclusion du détroit d'Hudson) de 1998 à aujourd'hui. Les données chl-a utilisées dans la série temporelles sont les données chl-a POLY4 ajustées au niveau régional, dérivées des données de réflectance de télédétection fournies par le produit multi capteur OC-CCI (oceancolour.org), dont les données manquantes ont été calculée en utilisant la méthode DINEOF (https://github.com/aida-alvera/DINEOF). Ces mesures peuvent être utilisées pour fournir des informations sur l'état de l'écosystème dans une zone particulière ainsi que sa variabilité temporelle, ce qui pourrait avoir des implications pour la dynamique des niveaux trophiques supérieurs.","state":"active","title":"Par-Pixel métriques de la floraison printanière dans l'Atlantique du Nord-ouest dérivées de la Chlorophylle-a satellitaire OC-CCI POLY-4","author":null,"extras":[{"key":"access_constraints","value":""},{"key":"contact-email","value":"Stephanie.Clay@dfo-mpo.gc.ca"},{"key":"encoding","value":"utf8"},{"key":"guid","value":"ca.cioos_473fe40d-613e-4aba-b335-7a31a04e5d69"},{"key":"h_job_id","value":"dd85bc4c-b884-4922-8c5a-915d0f2edaca"},{"key":"h_object_id","value":"ddc1d581-62be-4a2a-a230-255953cc0f42"},{"key":"h_source_id","value":"f0527ee7-d937-4f5a-97f2-4687fd2c7d1a"},{"key":"h_source_title","value":"CIOOS Atlantic"},{"key":"h_source_url","value":"https://catalogue.cioosatlantic.ca"},{"key":"harvest_object_id","value":"ddc1d581-62be-4a2a-a230-255953cc0f42"},{"key":"harvest_source_id","value":"f0527ee7-d937-4f5a-97f2-4687fd2c7d1a"},{"key":"harvest_source_organization","value":"{\"id\": \"c1eca542-1caf-4604-a2d5-708682e08793\", \"name\": \"cioos-atlantic\", \"title\": \"SIOOC-Atlantique\", \"type\": \"organization\", \"description\": \"\", \"image_url\": \"\", \"created\": \"2026-07-31T15:58:20.870737\", \"is_organization\": true, \"approval_status\": \"approved\", \"state\": \"active\", \"description_translated\": {\"fr\": \"CIOOS-Atlantic est un consortium d\\u2019institutions partenaires engag\\u00e9es dans le d\\u00e9veloppement de la gestion et la diffusion des donn\\u00e9es oc\\u00e9anographiques de la c\\u00f4te Atlantique, du Labrador \\u00e0 la fronti\\u00e8re entre le Maine et le Nouveau-Brunswick.\\r\\n\\r\\nLa collaboration continue avec un large \\u00e9ventail de parties prenantes fait partie int\\u00e9grante de CIOOS-Atlantique, et nous travaillerons pour r\\u00e9pondre aux besoins de la communaut\\u00e9 oc\\u00e9anographique et veiller \\u00e0 ce que les int\\u00e9r\\u00eats r\\u00e9gionaux soient repr\\u00e9sent\\u00e9s au niveau national. L'accent est mis sur la cr\\u00e9ation d'un syst\\u00e8me qui facilite l'acc\\u00e8s aux donn\\u00e9es afin de soutenir le travail des partenaires, chercheurs, industries, etc.\", \"en\": \"CIOOS-Atlantic is a consortium of partner institutions which are committed to the development of a data management and dissemination approach for oceanographic data from the Atlantic Seaboard, a region spanning from Labrador to the Maine / New Brunswick border.\\r\\n\\r\\nMeaningful engagement and ongoing communication with a broad variety of stakeholders is an integral component of CIOOS-Atlantic, and we will work to meet the needs of the local oceanographic community and ensure regional interests are represented at the national level. Emphasis is placed on the creation of a system which promotes easy data access and supports the work of partners, researchers, industry, and more.\"}, \"display_name\": \"CIOOS-Atlantic\", \"external_home_url\": \"https://cioosatlantic.ca/\", \"image_display_url\": \"\", \"image_url_translated\": {\"fr\": \"https://cioosatlantic.ca/wp-content/uploads/cioos-atlantic-85fr.png\", \"en\": \"https://cioosatlantic.ca/wp-content/uploads/cioos-atlantic-85.png\"}, \"num_followers\": 0, \"title_translated\": {\"fr\": \"SIOOC-Atlantique\", \"en\": \"CIOOS-Atlantic\"}}"},{"key":"harvest_source_title","value":"CIOOS Atlantic"},{"key":"legal-constraints-reference-code","value":"government-open-license-canada"},{"key":"licence","value":"Use caution with data in coastal areas, in the central Labrador Sea, and in areas where contiguous pixels show large differences. In lieu of using a single pixel value over your area of interest, it is advised to use the average or median of the pixels within a radius of 20km, preferably after filtering outliers. Values with NRMSE (i.e. root mean square error of the Gaussian fit normalized to the maximum chl-a concentration) computed during the bloom duration exceeding 0.5 should be considered suspicious. Standardized anomalies exceeding 3 standard deviations from the mean should also be considered suspicious (e.g. calculated as [value-climatology_mean]/climatology_stdev for a climatology period of 1998-2024)."},{"key":"metadata-date","value":"2025-09-02T18:33:55.714Z"},{"key":"metadata_created_source","value":"2026-08-30T01:59:55.905346"},{"key":"metadata_modified_source","value":"2026-08-30T01:59:55.905351"},{"key":"responsible-party","value":"[{\"name\": \"Department of Fisheries and Oceans\", \"roles\": [\"custodian\", \"owner\", \"distributor\"]}]"},{"key":"spatial_harvester","value":"true"},{"key":"uri","value":"https://catalogue.cioosatlantic.ca/dataset/ca-cioos_473fe40d-613e-4aba-b335-7a31a04e5d69"},{"key":"use-constraints","value":"Use caution with data in coastal areas, in the central Labrador Sea, and in areas where contiguous pixels show large differences. In lieu of using a single pixel value over your area of interest, it is advised to use the average or median of the pixels within a radius of 20km, preferably after filtering outliers. Values with NRMSE (i.e. root mean square error of the Gaussian fit normalized to the maximum chl-a concentration) computed during the bloom duration exceeding 0.5 should be considered suspicious. Standardized anomalies exceeding 3 standard deviations from the mean should also be considered suspicious (e.g. calculated as [value-climatology_mean]/climatology_stdev for a climatology period of 1998-2024)."},{"key":"use-constraints-code","value":"licence"}],"groups":[{"id":"2c628453-90e3-4558-994e-cb5e625c57cb","name":"resorg_department-of-fisheries-and-oceans","type":"resorg","state":"active","title":"Department of Fisheries and Oceans","created":"2026-07-31T16:21:04.019348","image_url":"","description":"","display_name":"Department of Fisheries and Oceans","num_followers":0,"approval_status":"approved","is_organization":false,"title_translated":{"en":"Department of Fisheries and Oceans","fr":"Department of Fisheries and Oceans"},"image_display_url":"","image_url_translated":{},"description_translated":{}},{"id":"732f6694-3249-4d70-a1eb-bdb5838802ef","name":"resorg_fisheries-and-oceans-canada","type":"resorg","state":"active","title":"Pêches et Océans Canada","created":"2026-07-31T16:11:25.487962","group-uri":[{"code":"https://ror.org/02qa1x782","version":"","authority":"","code-space":""}],"image_url":"","description":"","display_name":"Pêches et Océans Canada","num_followers":0,"approval_status":"approved","is_organization":false,"title_translated":{"en":"Fisheries and Oceans Canada","fr":"Pêches et Océans Canada"},"external_home_url":"https://www.dfo-mpo.gc.ca","image_display_url":"","image_url_translated":{"en":"https://www.canada.ca/etc/designs/canada/wet-boew/assets/sig-blk-en.svg","fr":"https://www.canada.ca/etc/designs/canada/wet-boew/assets/sig-blk-en.svg"},"description_translated":{"en":"","fr":""}}],"isopen":false,"private":false,"spatial":{"type":"Polygon","coordinates":[[[-76.0,39.0],[-76.0,46.0],[-65.0,60.0],[-65.0,63.0],[-64.0,65.0],[-62.5,66.0],[-42.0,66.0],[-42.0,39.0],[-76.0,39.0]]]},"citation":{"en":"[{\\\"type\\\": \\\"dataset\\\", \\\"id\\\": \\\"ca.cioos_473fe40d-613e-4aba-b335-7a31a04e5d69\\\", \\\"author\\\": [{\\\"given\\\": \\\"Stephanie\\\", \\\"family\\\": \\\"Clay\\\"}, {\\\"given\\\": \\\"Emmanuel\\\", \\\"family\\\": \\\"Devred\\\"}], \\\"issued\\\": [{\\\"date-parts\\\": [\\\"2025\\\", \\\"09\\\", \\\"02\\\"]}], \\\"abstract\\\": \\\"This dataset contains the metrics derived from fitting a shifted Gaussian to the time series of daily 4km-resolution satellite-derived surface chlorophyll-a concentration (Chl-a) within a single pixel for a given year. The fitting procedure is the same as that used in the PhytoFit R-shiny application (https://github.com/BIO-RSG/PhytoFit) to model the spring phytoplankton bloom within a user-selected region of interest. The derived bloom metrics include the day of year of the start of the bloom and its duration, the maximum chl-a and the total chl-a produced during the bloom period, and the mean annual chl-a. Each year contains these five layers as well as two layers describing the quality of the data and the accuracy of the Gaussian fit. The metrics cover an area spanning the Northwest Atlantic (39-66\\u00b0N, 42-76\\u00b0W, excluding Hudson Strait) from 1998 to present. The chl-a data used in the time series were the regionally-tuned POLY4 chl-a derived from remote sensing reflectance data provided in the OC-CCI multisensor product (oceancolour.org), which were gap-filled using the DINEOF method (https://github.com/aida-alvera/DINEOF). These metrics can be used to inform on the state of the ecosystem in a particular area and its variability over time, which could have implications for higher trophic level dynamics.\\\", \\\"edition-date\\\": \\\"\\\", \\\"publisher\\\": \\\"\\\", \\\"title\\\": \\\"Northwest Atlantic per-pixel spring bloom metrics derived from OC-CCI POLY4 satellite Chlorophyll-a\\\", \\\"version\\\": \\\"1.1\\\", \\\"language\\\": \\\"en\\\", \\\"URL\\\": \\\"https://catalogue.cioosatlantic.ca/dataset/ca-cioos_473fe40d-613e-4aba-b335-7a31a04e5d69?local=en\\\"}]","fr":"[{\\\"type\\\": \\\"dataset\\\", \\\"id\\\": \\\"ca.cioos_473fe40d-613e-4aba-b335-7a31a04e5d69\\\", \\\"author\\\": [{\\\"given\\\": \\\"Stephanie\\\", \\\"family\\\": \\\"Clay\\\"}, {\\\"given\\\": \\\"Emmanuel\\\", \\\"family\\\": \\\"Devred\\\"}], \\\"issued\\\": [{\\\"date-parts\\\": [\\\"2025\\\", \\\"09\\\", \\\"02\\\"]}], \\\"abstract\\\": \\\"Ce jeu de donn\\u00e9es contient les mesures d\\u00e9riv\\u00e9es de l'ajustement d'une courbe gaussienne d\\u00e9cal\\u00e9e \\u00e0 une s\\u00e9rie temporelle de concentrations quotidiennes de chlorophylle-a mesur\\u00e9es en surface (Chl-a) par d\\u00e9riv\\u00e9e par satellite avec une r\\u00e9solution de 4 km pour chaque pixel pour une ann\\u00e9e donn\\u00e9e. La proc\\u00e9dure d'ajustement est la m\\u00eame que celle utilis\\u00e9e dans l'application PhytoFit R-shiny (https://github.com/BIO-RSG/PhytoFit) pour mod\\u00e9liser la floraison printani\\u00e8re de phytoplancton dans une r\\u00e9gion d'int\\u00e9r\\u00eat s\\u00e9lectionn\\u00e9e par l'utilisateur. Les param\\u00e8tres d\\u00e9riv\\u00e9s de la floraison printani\\u00e8re comprennent le jour de l'ann\\u00e9e du d\\u00e9but de la floraison et sa dur\\u00e9e, la chl-a maximale et la chl-a totale produite pendant la p\\u00e9riode de floraison, ainsi que la chl-a annuelle moyenne. Chaque ann\\u00e9e contient ces cinq couches ainsi que deux couches d\\u00e9crivant la qualit\\u00e9 des donn\\u00e9es et la pr\\u00e9cision de l'ajustement gaussien. Les mesures couvrent une zone s'\\u00e9tendant sur l'Atlantique Nord-Ouest (39-66\\u00b0N, 42-76\\u00b0O, \\u00e0 l'exclusion du d\\u00e9troit d'Hudson) de 1998 \\u00e0 aujourd'hui. Les donn\\u00e9es chl-a utilis\\u00e9es dans la s\\u00e9rie temporelles sont les donn\\u00e9es chl-a POLY4 ajust\\u00e9es au niveau r\\u00e9gional, d\\u00e9riv\\u00e9es des donn\\u00e9es de r\\u00e9flectance de t\\u00e9l\\u00e9d\\u00e9tection fournies par le produit multi capteur OC-CCI (oceancolour.org), dont les donn\\u00e9es manquantes ont \\u00e9t\\u00e9 calcul\\u00e9e en utilisant la m\\u00e9thode DINEOF (https://github.com/aida-alvera/DINEOF). Ces mesures peuvent \\u00eatre utilis\\u00e9es pour fournir des informations sur l'\\u00e9tat de l'\\u00e9cosyst\\u00e8me dans une zone particuli\\u00e8re ainsi que sa variabilit\\u00e9 temporelle, ce qui pourrait avoir des implications pour la dynamique des niveaux trophiques sup\\u00e9rieurs.\\\", \\\"edition-date\\\": \\\"\\\", \\\"publisher\\\": \\\"\\\", \\\"title\\\": \\\"Par-Pixel m\\u00e9triques de la floraison printani\\u00e8re dans l'Atlantique du Nord-ouest d\\u00e9riv\\u00e9es de la Chlorophylle-a satellitaire OC-CCI POLY-4\\\", \\\"version\\\": \\\"1.1\\\", \\\"language\\\": \\\"fr\\\", \\\"URL\\\": \\\"https://catalogue.cioosatlantic.ca/dataset/ca-cioos_473fe40d-613e-4aba-b335-7a31a04e5d69?local=fr\\\"}]"},"keywords":{"en":["oceans","chlorophyll-a","phytoplankton","remote-sensing","spring-phytoplankton-bloom","phytoplanktonbiomassanddiversity","oceancolour"],"fr":["chlorophylle-a","phytoplancton","teledetection","floraison-printaniere-de-phytoplancton","biomasse-et-diversite-de-phytoplancton","couleur-des-oceans"]},"num_tags":0,"progress":"onGoing","projects":[],"owner_org":"c1eca542-1caf-4604-a2d5-708682e08793","resources":[{"id":"bd6d2e1e-bda4-42d1-bcc2-22f5c1e2d58d","url":"https://cioosatlantic.ca/erddap/griddap/bio_remote_sensing_occci_nwa_poly4_spring_bloom","hash":"","name":"Par-Pixel métriques de la floraison printanière dans l'Atlantique du Nord-ouest dérivées de la Chlorophylle-a satellitaire OC-CCI POLY-4","size":null,"state":"active","format":"ERDDAP","created":"2026-08-30T01:59:55.906261","mimetype":null,"position":0,"url_type":null,"cache_url":null,"package_id":"b7cbdce4-de76-4203-9d02-61fe175c4d44","description":"Créées avec map_and_write_to_netcdf.R. Les données d'entrée sont des mesures de floraison printanière à une résolution de 4 km et une concentration moyenne annuelle de chlorophylle-a (chl-a) par région. Les mesures de floraison pour chaque région et chaque année ont été dérivées d'une courbe gaussienne décalée ajustée à la série temporelle des données chl-a enregistrées quotidiennement dans cette région. Les données Chl-a ont été extraites du jeu de données POLY4 chl-a qui a été généré à l'aide des réflectances de télédétection (Rrs) du produit multi-capteur OC-CCI (www.oceancolour.org) et de coefficients ajustés au niveau régional, puis comblé les lacunes à l'aide de DINEOF (https://github.com/aida-alvera/DINEOF).","last_modified":null,"resource_type":null,"created_source":"2026-08-30T01:59:55.906261","mimetype_inner":null,"name_translated":{"en":"Northwest Atlantic per-pixel spring bloom metrics derived from OC-CCI POLY4 satellite Chlorophyll-a, 1998-Present","fr":"Par-Pixel métriques de la floraison printanière dans l'Atlantique du Nord-ouest dérivées de la Chlorophylle-a satellitaire OC-CCI POLY-4"},"datastore_active":false,"metadata_modified":"2026-09-04T17:30:02.600507","cache_last_updated":null,"description_translated":{"en":"Created with map_and_write_to_netcdf.R. Input data were 4km-resolution spring bloom metrics and annual average chlorophyll-a (chl-a) concentration per bin. Bloom metrics for each bin and year were derived from a shifted gaussian curve fitted to the time series of daily logged chl-a data within that bin. Chl-a data were taken from the POLY4 chl-a dataset which was generated using remote sensing reflectances (Rrs) from the OC-CCI multisensor product (www.oceancolour.org) and regionally-tuned coefficients, and subsequently gap-filled using DINEOF (https://github.com/aida-alvera/DINEOF).","fr":"Créées avec map_and_write_to_netcdf.R. Les données d'entrée sont des mesures de floraison printanière à une résolution de 4 km et une concentration moyenne annuelle de chlorophylle-a (chl-a) par région. Les mesures de floraison pour chaque région et chaque année ont été dérivées d'une courbe gaussienne décalée ajustée à la série temporelle des données chl-a enregistrées quotidiennement dans cette région. Les données Chl-a ont été extraites du jeu de données POLY4 chl-a qui a été généré à l'aide des réflectances de télédétection (Rrs) du produit multi-capteur OC-CCI (www.oceancolour.org) et de coefficients ajustés au niveau régional, puis comblé les lacunes à l'aide de DINEOF (https://github.com/aida-alvera/DINEOF)."},"metadata_modified_source":"2026-08-30T01:59:55.902224","resource_locator_function":"","resource_locator_protocol":"WWW:LINK"}],"datacentre":[],"license_id":"government-open-license-canada","maintainer":null,"distributor":[{"role":["distributor"],"individual-name":"Clay, Stephanie","organisation-name":"Department of Fisheries and Oceans","contact-info_email":"Stephanie.Clay@dfo-mpo.gc.ca","individual-uri_code":"https://orcid.org/0000-0001-5113-2378","organisation-uri_code":"https://ror.org/02qa1x782","individual-uri_version":"","individual-uri_authority":"","organisation-uri_version":"","individual-uri_code-space":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""},{"role":["distributor"],"individual-name":"Devred, Emmanuel","organisation-name":"Fisheries and Oceans Canada","contact-info_email":"Emmanuel.Devred@dfo-mpo.gc.ca","individual-uri_code":"https://orcid.org/0000-0001-9446-0005","organisation-uri_code":"https://ror.org/02qa1x782","individual-uri_version":"","individual-uri_authority":"","organisation-uri_version":"","individual-uri_code-space":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""}],"author_email":null,"organization":{"id":"c1eca542-1caf-4604-a2d5-708682e08793","name":"cioos-atlantic","type":"organization","state":"active","title":"SIOOC-Atlantique","created":"2026-07-31T15:58:20.870737","image_url":"","description":"","display_name":"CIOOS-Atlantic","num_followers":0,"approval_status":"approved","is_organization":true,"title_translated":{"en":"CIOOS-Atlantic","fr":"SIOOC-Atlantique"},"external_home_url":"https://cioosatlantic.ca/","image_display_url":"","image_url_translated":{"en":"https://cioosatlantic.ca/wp-content/uploads/cioos-atlantic-85.png","fr":"https://cioosatlantic.ca/wp-content/uploads/cioos-atlantic-85fr.png"},"description_translated":{"en":"CIOOS-Atlantic is a consortium of partner institutions which are committed to the development of a data management and dissemination approach for oceanographic data from the Atlantic Seaboard, a region spanning from Labrador to the Maine / New Brunswick border.\r\n\r\nMeaningful engagement and ongoing communication with a broad variety of stakeholders is an integral component of CIOOS-Atlantic, and we will work to meet the needs of the local oceanographic community and ensure regional interests are represented at the national level. Emphasis is placed on the creation of a system which promotes easy data access and supports the work of partners, researchers, industry, and more.","fr":"CIOOS-Atlantic est un consortium d’institutions partenaires engagées dans le développement de la gestion et la diffusion des données océanographiques de la côte Atlantique, du Labrador à la frontière entre le Maine et le Nouveau-Brunswick.\r\n\r\nLa collaboration continue avec un large éventail de parties prenantes fait partie intégrante de CIOOS-Atlantique, et nous travaillerons pour répondre aux besoins de la communauté océanographique et veiller à ce que les intérêts régionaux soient représentés au niveau national. L'accent est mis sur la création d'un système qui facilite l'accès aux données afin de soutenir le travail des partenaires, chercheurs, industries, etc."}},"license_title":"government-open-license-canada","num_resources":1,"resource-type":"dataset","bbox-east-long":"-42.0","bbox-north-lat":"39.0","bbox-south-lat":"66.0","bbox-west-long":"-76.0","creator_user_id":"fe6035ee-ed91-4ead-b5b2-4048232a22bb","temporal-extent":[{"begin":"1998-01-01"}],"vertical-extent":[{"max":"0","min":"0"}],"aggregation-info":[{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"Evaluation of Satellite-Based Algorithms to Retrieve Chlorophyll-a Concentration in the Canadian Atlantic and Pacific Oceans","fr":"Évaluation d'algorithmes satellitaires pour déterminer la concentration en chlorophylle-a dans les océans Atlantique et Pacifique Canadiens"},"aggregate-dataset-identifier_code":"https://www.mdpi.com/2072-4292/11/22/2609"},{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI)","fr":"Une série temporelle de la couleur des océans pour des études sur le climat : l'expérience de l'Initiative sur le changement climatique de la couleur des océans (OC-CCI)"},"aggregate-dataset-identifier_code":"https://doi:10.3390/s19194285"},{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"ESA Ocean Colour Climate Change Initiative (Ocean_Colour_CCI): Monthly climatology of global ocean colour data products at 4km resolution, Version 6.0","fr":"ASE (Agence Spatiale Européenne) Initiative sur le Changement Climatique - Couleur de l'Océan: Climatologie Mensuelle des produits globaux de la couleur de l'Océan à 4-km de résolution, version 6.0."},"aggregate-dataset-identifier_code":"https://catalogue.ceda.ac.uk/uuid/690fdf8f229c4d04a2aa68de67beb733"},{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"A comparison of phytoplankton spring bloom fitting methods using MODIS satellite-derived chlorophyll-a concentration for the Maritimes region.","fr":"Comparaison des méthodes d'ajustement de la floraison printanière du phytoplancton à partir de la concentration de chlorophylle-a dérivée du satellite MODIS pour la région des Maritimes."},"aggregate-dataset-identifier_code":"https://publications.gc.ca/collections/collection_2022/mpo-dfo/Fs97-18-340-eng.pdf"},{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"PhytoFit","fr":"PhytoFit"},"aggregate-dataset-identifier_code":"https://doi:10.5281/zenodo.4770754"},{"initiative-type":"","association-type":"crossReference","aggregate-dataset-name":{"en":"Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature","fr":"Reconstruction de jeux de données océanographiques incomplets à l'aide de fonctions orthogonales empiriques : application à la température de surface de la mer Adriatique"},"aggregate-dataset-identifier_code":"https://doi:10.1016/j.ocemod.2004.08.001"}],"maintainer_email":null,"maintenance-note":"Generated from https://cioos-siooc.github.io/metadata-entry-form#/en/atlantic/0ZgH5TAey4fnwk04trhoypEZuJy2/-OYpdij3R8Hii9XR1qnc","metadata_created":"2026-09-04T17:30:02.604931","notes_translated":{"en":"This dataset contains the metrics derived from fitting a shifted Gaussian to the time series of daily 4km-resolution satellite-derived surface chlorophyll-a concentration (Chl-a) within a single pixel for a given year. The fitting procedure is the same as that used in the PhytoFit R-shiny application (https://github.com/BIO-RSG/PhytoFit) to model the spring phytoplankton bloom within a user-selected region of interest. The derived bloom metrics include the day of year of the start of the bloom and its duration, the maximum chl-a and the total chl-a produced during the bloom period, and the mean annual chl-a. Each year contains these five layers as well as two layers describing the quality of the data and the accuracy of the Gaussian fit. The metrics cover an area spanning the Northwest Atlantic (39-66°N, 42-76°W, excluding Hudson Strait) from 1998 to present. The chl-a data used in the time series were the regionally-tuned POLY4 chl-a derived from remote sensing reflectance data provided in the OC-CCI multisensor product (oceancolour.org), which were gap-filled using the DINEOF method (https://github.com/aida-alvera/DINEOF). These metrics can be used to inform on the state of the ecosystem in a particular area and its variability over time, which could have implications for higher trophic level dynamics.","fr":"Ce jeu de données contient les mesures dérivées de l'ajustement d'une courbe gaussienne décalée à une série temporelle de concentrations quotidiennes de chlorophylle-a mesurées en surface (Chl-a) par dérivée par satellite avec une résolution de 4 km pour chaque pixel pour une année donnée. La procédure d'ajustement est la même que celle utilisée dans l'application PhytoFit R-shiny (https://github.com/BIO-RSG/PhytoFit) pour modéliser la floraison printanière de phytoplancton dans une région d'intérêt sélectionnée par l'utilisateur. Les paramètres dérivés de la floraison printanière comprennent le jour de l'année du début de la floraison et sa durée, la chl-a maximale et la chl-a totale produite pendant la période de floraison, ainsi que la chl-a annuelle moyenne. Chaque année contient ces cinq couches ainsi que deux couches décrivant la qualité des données et la précision de l'ajustement gaussien. Les mesures couvrent une zone s'étendant sur l'Atlantique Nord-Ouest (39-66°N, 42-76°O, à l'exclusion du détroit d'Hudson) de 1998 à aujourd'hui. Les données chl-a utilisées dans la série temporelles sont les données chl-a POLY4 ajustées au niveau régional, dérivées des données de réflectance de télédétection fournies par le produit multi capteur OC-CCI (oceancolour.org), dont les données manquantes ont été calculée en utilisant la méthode DINEOF (https://github.com/aida-alvera/DINEOF). Ces mesures peuvent être utilisées pour fournir des informations sur l'état de l'écosystème dans une zone particulière ainsi que sa variabilité temporelle, ce qui pourrait avoir des implications pour la dynamique des niveaux trophiques supérieurs."},"title_translated":{"en":"Northwest Atlantic per-pixel spring bloom metrics derived from OC-CCI POLY4 satellite Chlorophyll-a","fr":"Par-Pixel métriques de la floraison printanière dans l'Atlantique du Nord-ouest dérivées de la Chlorophylle-a satellitaire OC-CCI POLY-4"},"xml_location_url":"https://cioosatlantic.ca/metadata/dfo/bio/northwest_atlantic_per_pixel_s_473fe.xml","metadata-language":"en","metadata_modified":"2026-09-04T17:30:02.604935","frequency-of-update":"asNeeded","dataset-reference-date":[{"type":"creation","value":"1998-01-01"}],"cited-responsible-party":[{"role":["custodian","distributor","owner"],"individual-name":"Clay, Stephanie","organisation-name":"Department of Fisheries and Oceans","contact-info_email":"Stephanie.Clay@dfo-mpo.gc.ca","individual-uri_code":"https://orcid.org/0000-0001-5113-2378","organisation-uri_code":"https://ror.org/02qa1x782","individual-uri_version":"","individual-uri_authority":"","organisation-uri_version":"","individual-uri_code-space":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""},{"role":["distributor","owner"],"individual-name":"Devred, Emmanuel","organisation-name":"Fisheries and Oceans Canada","contact-info_email":"Emmanuel.Devred@dfo-mpo.gc.ca","individual-uri_code":"https://orcid.org/0000-0001-9446-0005","organisation-uri_code":"https://ror.org/02qa1x782","individual-uri_version":"","individual-uri_authority":"","organisation-uri_version":"","individual-uri_code-space":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""}],"metadata-reference-date":[{"type":"publication","value":"2025-09-02"},{"type":"revision","value":"2025-09-02"}],"relationships_as_object":[],"harvest_document_content":"\n \n \n \n \n \n ca.cioos\n \n \n \n \n 473fe40d-613e-4aba-b335-7a31a04e5d69\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 2025-09-02T18:33:55.714Z\n \n \n revision\n \n \n \n \n \n \n 2025-09-02\n \n \n publication\n \n \n \n \n \n \n ISO 19115-1 Geographic information - Metadata\n \n \n First Edition 2014-04-01\n \n \n \n \n \n \n ISO 19115-2 Geographic information - Metadata\n \n \n Second Edition 2019-01\n \n \n \n \n \n \n ISO 19115-1 Geographic Information - Metadata Amendment 1\n \n \n 2018-02\n \n \n \n \n \n \n Canadian Integrated Ocean Observing System Metadata Profile of ISO 19115\n \n \n \n \n 2019-11-06\n \n \n publication\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Northwest Atlantic per-pixel spring bloom metrics derived from OC-CCI POLY4 satellite Chlorophyll-a\n \n \n Par-Pixel métriques de la floraison printanière dans l'Atlantique du Nord-ouest dérivées de la Chlorophylle-a satellitaire OC-CCI POLY-4\n \n \n \n \n \n \n 1998-01-01\n \n \n creation\n \n \n \n \n 1.1\n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Fisheries and Oceans Canada\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Devred, Emmanuel\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Emmanuel.Devred@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-9446-0005\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Fisheries and Oceans Canada\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Devred, Emmanuel\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Emmanuel.Devred@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-9446-0005\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n This dataset contains the metrics derived from fitting a shifted Gaussian to the time series of daily 4km-resolution satellite-derived surface chlorophyll-a concentration (Chl-a) within a single pixel for a given year. The fitting procedure is the same as that used in the PhytoFit R-shiny application (https://github.com/BIO-RSG/PhytoFit) to model the spring phytoplankton bloom within a user-selected region of interest. The derived bloom metrics include the day of year of the start of the bloom and its duration, the maximum chl-a and the total chl-a produced during the bloom period, and the mean annual chl-a. Each year contains these five layers as well as two layers describing the quality of the data and the accuracy of the Gaussian fit. The metrics cover an area spanning the Northwest Atlantic (39-66°N, 42-76°W, excluding Hudson Strait) from 1998 to present. The chl-a data used in the time series were the regionally-tuned POLY4 chl-a derived from remote sensing reflectance data provided in the OC-CCI multisensor product (oceancolour.org), which were gap-filled using the DINEOF method (https://github.com/aida-alvera/DINEOF). These metrics can be used to inform on the state of the ecosystem in a particular area and its variability over time, which could have implications for higher trophic level dynamics.\n \n \n Ce jeu de données contient les mesures dérivées de l'ajustement d'une courbe gaussienne décalée à une série temporelle de concentrations quotidiennes de chlorophylle-a mesurées en surface (Chl-a) par dérivée par satellite avec une résolution de 4 km pour chaque pixel pour une année donnée. La procédure d'ajustement est la même que celle utilisée dans l'application PhytoFit R-shiny (https://github.com/BIO-RSG/PhytoFit) pour modéliser la floraison printanière de phytoplancton dans une région d'intérêt sélectionnée par l'utilisateur. Les paramètres dérivés de la floraison printanière comprennent le jour de l'année du début de la floraison et sa durée, la chl-a maximale et la chl-a totale produite pendant la période de floraison, ainsi que la chl-a annuelle moyenne. Chaque année contient ces cinq couches ainsi que deux couches décrivant la qualité des données et la précision de l'ajustement gaussien. Les mesures couvrent une zone s'étendant sur l'Atlantique Nord-Ouest (39-66°N, 42-76°O, à l'exclusion du détroit d'Hudson) de 1998 à aujourd'hui. Les données chl-a utilisées dans la série temporelles sont les données chl-a POLY4 ajustées au niveau régional, dérivées des données de réflectance de télédétection fournies par le produit multi capteur OC-CCI (oceancolour.org), dont les données manquantes ont été calculée en utilisant la méthode DINEOF (https://github.com/aida-alvera/DINEOF). Ces mesures peuvent être utilisées pour fournir des informations sur l'état de l'écosystème dans une zone particulière ainsi que sa variabilité temporelle, ce qui pourrait avoir des implications pour la dynamique des niveaux trophiques supérieurs.\n \n \n \n \n \n \n \n \n \n \n oceans\n \n \n \n \n \n \n true\n \n \n \n \n \n -76,39 -76,46 -65,60 -65,63 -64,65 -62.5,66 -42,66 -42,39 -76,39\n \n \n \n \n \n \n \n \n \n \n \n \n \n 0\n \n \n 0\n \n \n \n \n \n \n 5829\n \n \n EPSG\n \n \n 2012-08-10T00:00:00\n \n \n Instantaneous Water Level height - Height relative to instantaneous water level uncorrected for tide. Not specific to any location or epoch.\n \n \n \n \n vertical\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 1998-01-01T16:00:00.000Z\n \n \n \n \n \n \n \n \n \n \n asNeeded\n \n \n Generated from https://cioos-siooc.github.io/metadata-entry-form#/en/atlantic/0ZgH5TAey4fnwk04trhoypEZuJy2/-OYpdij3R8Hii9XR1qnc\n \n \n \n \n \n \n Oceans\n \n \n \n \n Government of Canada Core Subject Thesaurus\n \n \n \n \n 2016-10-13\n \n \n \n \n \n \n \n N/A\n \n \n \n \n \n \n \n \n chlorophyll a\n \n \n phytoplankton\n \n \n remote sensing\n \n \n spring phytoplankton bloom\n \n \n \n \n chlorophylle a\n \n \n \n \n \n \n phytoplancton\n \n \n \n \n \n \n télédétection\n \n \n \n \n \n \n Floraison printanière de phytoplancton\n \n \n \n \n \n \n default\n \n \n \n \n \n \n \n \n phytoplanktonBiomassAndDiversity\n \n \n oceanColour\n \n \n \n \n Biomasse et diversité de phytoplancton\n \n \n \n \n \n \n Couleur des océans\n \n \n \n \n \n \n eov\n \n \n \n \n \n \n \n \n \n \n Open Government Licence - Canada\n \n \n Licence du gouvernement ouvert – Canada \n \n \n \n \n \n \n government-open-license-canada\n \n \n \n \n \n \n https://open.canada.ca/en/open-government-licence-canada\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n \n \n Use caution with data in coastal areas, in the central Labrador Sea, and in areas where contiguous pixels show large differences. In lieu of using a single pixel value over your area of interest, it is advised to use the average or median of the pixels within a radius of 20km, preferably after filtering outliers. Values with NRMSE (i.e. root mean square error of the Gaussian fit normalized to the maximum chl-a concentration) computed during the bloom duration exceeding 0.5 should be considered suspicious. Standardized anomalies exceeding 3 standard deviations from the mean should also be considered suspicious (e.g. calculated as [value-climatology_mean]/climatology_stdev for a climatology period of 1998-2024).\n \n \n Les données relatives aux zones côtières sont à traiter avec précaution, ainsi que la partie centrale de la mer du Labrador et dans les zones où des pixels contigus présentent des différences importantes. Au lieu d'utiliser une seule valeur de pixel pour la zone qui vous intéresse, il est conseillé d'utiliser la moyenne ou la médiane des pixels dans un rayon de 20 km, de préférence après avoir filtré les valeurs aberrantes. Les valeurs dont le calcul NRMSE (c'est-à-dire l'erreur quadratique moyenne de l'ajustement gaussien normalisé à la concentration maximale de chl-a) pendant la durée de la floraison dépasse 0.5 doivent être considérées comme suspectes. Les anomalies normalisées dépassant 3 écarts-types par rapport à la moyenne doivent également être considérées comme suspectes (par exemple, calculées comme [valeur – moyenne_climatologique] / écart-type climatologique pour une période climatologique de 1998 à 2024).\n \n \n \n \n \n \n \n \n \n \n Evaluation of Satellite-Based Algorithms to Retrieve Chlorophyll-a Concentration in the Canadian Atlantic and Pacific Oceans\n \n \n Évaluation d'algorithmes satellitaires pour déterminer la concentration en chlorophylle-a dans les océans Atlantique et Pacifique Canadiens\n \n \n \n \n \n \n \n \n URL\n \n \n \n \n https://www.mdpi.com/2072-4292/11/22/2609\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI)\n \n \n Une série temporelle de la couleur des océans pour des études sur le climat : l'expérience de l'Initiative sur le changement climatique de la couleur des océans (OC-CCI)\n \n \n \n \n \n \n \n \n DOI\n \n \n \n \n doi:10.3390/s19194285\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ESA Ocean Colour Climate Change Initiative (Ocean_Colour_CCI): Monthly climatology of global ocean colour data products at 4km resolution, Version 6.0\n \n \n ASE (Agence Spatiale Européenne) Initiative sur le Changement Climatique - Couleur de l'Océan: Climatologie Mensuelle des produits globaux de la couleur de l'Océan à 4-km de résolution, version 6.0.\n \n \n \n \n \n \n \n \n URL\n \n \n \n \n https://catalogue.ceda.ac.uk/uuid/690fdf8f229c4d04a2aa68de67beb733\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n A comparison of phytoplankton spring bloom fitting methods using MODIS satellite-derived chlorophyll-a concentration for the Maritimes region.\n \n \n Comparaison des méthodes d'ajustement de la floraison printanière du phytoplancton à partir de la concentration de chlorophylle-a dérivée du satellite MODIS pour la région des Maritimes.\n \n \n \n \n \n \n \n \n URL\n \n \n \n \n https://publications.gc.ca/collections/collection_2022/mpo-dfo/Fs97-18-340-eng.pdf\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PhytoFit\n \n \n PhytoFit\n \n \n \n \n \n \n \n \n DOI\n \n \n \n \n doi:10.5281/zenodo.4770754\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature\n \n \n Reconstruction de jeux de données océanographiques incomplets à l'aide de fonctions orthogonales empiriques : application à la température de surface de la mer Adriatique\n \n \n \n \n \n \n \n \n DOI\n \n \n \n \n doi:10.1016/j.ocemod.2004.08.001\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Department of Fisheries and Oceans\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Clay, Stephanie\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Stephanie.Clay@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-5113-2378\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Fisheries and Oceans Canada\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ottawa\n \n \n Canada\n \n \n \n \n \n \n https://www.dfo-mpo.gc.ca\n \n \n WWW:LINK\n \n \n \n \n \n \n \n \n \n \n \n https://ror.org/02qa1x782\n \n \n \n \n \n \n Devred, Emmanuel\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Emmanuel.Devred@dfo-mpo.gc.ca\n \n \n \n \n \n \n \n \n https://orcid.org/0000-0001-9446-0005\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n https://cioosatlantic.ca/erddap/griddap/bio_remote_sensing_occci_nwa_poly4_spring_bloom\n \n \n WWW:LINK\n \n \n Northwest Atlantic per-pixel spring bloom metrics derived from OC-CCI POLY4 satellite Chlorophyll-a, 1998-Present\n \n \n Par-Pixel métriques de la floraison printanière dans l'Atlantique du Nord-ouest dérivées de la Chlorophylle-a satellitaire OC-CCI POLY-4\n \n \n \n \n Created with map_and_write_to_netcdf.R. Input data were 4km-resolution spring bloom metrics and annual average chlorophyll-a (chl-a) concentration per bin. Bloom metrics for each bin and year were derived from a shifted gaussian curve fitted to the time series of daily logged chl-a data within that bin. Chl-a data were taken from the POLY4 chl-a dataset which was generated using remote sensing reflectances (Rrs) from the OC-CCI multisensor product (www.oceancolour.org) and regionally-tuned coefficients, and subsequently gap-filled using DINEOF (https://github.com/aida-alvera/DINEOF).\n \n \n Créées avec map_and_write_to_netcdf.R. Les données d'entrée sont des mesures de floraison printanière à une résolution de 4 km et une concentration moyenne annuelle de chlorophylle-a (chl-a) par région. Les mesures de floraison pour chaque région et chaque année ont été dérivées d'une courbe gaussienne décalée ajustée à la série temporelle des données chl-a enregistrées quotidiennement dans cette région. Les données Chl-a ont été extraites du jeu de données POLY4 chl-a qui a été généré à l'aide des réflectances de télédétection (Rrs) du produit multi-capteur OC-CCI (www.oceancolour.org) et de coefficients ajustés au niveau régional, puis comblé les lacunes à l'aide de DINEOF (https://github.com/aida-alvera/DINEOF).\n \n \n \n \n \n \n \n \n \n \n \n \n asNeeded\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n SDN:C17::33V4\n \n \n \n \n Aqua\n \n \n \n \n \n \n MODIS\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n SDN:C17::33JQ\n \n \n \n \n Envisat\n \n \n \n \n \n \n MERIS\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Suomi-NPP\n \n \n \n \n \n \n \n \n \n \n \n VIIRS\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n SDN:C17::33XX\n \n \n \n \n Terra\n \n \n \n \n \n \n MODIS\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n SDN:C17::33YO\n \n \n \n \n NOAA-20\n \n \n \n \n \n \n VIIRS\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n SDN:C17::33QS\n \n \n \n \n Orbview-2\n \n \n \n \n \n \n SeaWiFS\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Sentinel-3A\n \n \n \n \n \n \n \n \n \n \n \n OLCI\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Sentinel-3B\n \n \n \n \n \n \n \n \n \n \n \n OLCI\n \n \n \n \n \n \n \n \n \n \n \n \n \n satellite\n \n \n \n \n \n \n","notes_translation_method":{"en":"","fr":""},"relationships_as_subject":[],"title_translation_method":{"en":"","fr":""},"metadata-point-of-contact":[{"role":["custodian","distributor","owner"],"individual-name":"Clay, Stephanie","organisation-name":"Department of Fisheries and Oceans","contact-info_email":"Stephanie.Clay@dfo-mpo.gc.ca","individual-uri_code":"https://orcid.org/0000-0001-9446-0005","organisation-uri_code":"https://ror.org/02qa1x782","individual-uri_version":"","individual-uri_authority":"","organisation-uri_version":"","individual-uri_code-space":"","organisation-uri_authority":"","organisation-uri_code-space":"","contact-info_online-resource":""}],"included_in_data_catalogue":[{"url":"https://catalogue.cioos.ca","name":{"en":"CIOOS Catalogue","fr":"Catalogue du SIOOC"},"description":""},{"url":"https://catalogue.cioosatlantic.ca","name":{"en":"CIOOS Atlantic","fr":"SIOOC Atlantique"},"description":{"en":"A description of the Catalogue","fr":"Une description du catalogue"}}],"keywords_translation_method":{"en":""}}}