{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T11:50:46Z","timestamp":1782388246807,"version":"3.54.5"},"reference-count":34,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T00:00:00Z","timestamp":1615334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA Ocean Biology and Biogeochemistry","award":["NNX16AR51G"],"award-info":[{"award-number":["NNX16AR51G"]}]},{"name":"NASA Modeling, Analysis and Prediction Program","award":["80NSSC17K0268"],"award-info":[{"award-number":["80NSSC17K0268"]}]},{"name":"NASA Interdisciplinary Research in Earth Science Program","award":["16-IDS16-0039"],"award-info":[{"award-number":["16-IDS16-0039"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>While forecasts of atmospheric variables, and to a lesser degree ocean circulation, are relatively common, the forecast of biogeochemical conditions is still in its infancy. Using a dynamical ocean biogeochemical forecast forced by seasonal forecasts of atmospheric and physical ocean variables, we produce seasonal predictions of chlorophyll concentration at the global scale. Results show significant Anomaly Correlation Coefficients (ACCs) for the majority of regions (11 out of the 12 regions for the 1-month lead forecast). Root mean square errors are smaller (&lt;0.05 \u00b5g chlorophyll (chl) L\u22121) in the Equatorial regions compared to the higher latitudes (range from 0.05 up to 0.13 \u00b5g chl L\u22121). The forecast for all regions except three (North Atlantic, South Pacific and North Indian) are within the Semi-Interquartile Range of the satellite chlorophyll concentration (Suomi-National Polar-orbiting Partnership (NPP), 27.9%). This suggests the potential for skillful global biogeochemical forecasts on seasonal timescales of chlorophyll, primary production and harmful algal blooms that could support fisheries management and other applications.<\/jats:p>","DOI":"10.3390\/rs13061051","type":"journal-article","created":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T20:51:42Z","timestamp":1615409502000},"page":"1051","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Assessing the Skills of a Seasonal Forecast of Chlorophyll in the Global Pelagic Oceans"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3022-2988","authenticated-orcid":false,"given":"Cecile S.","family":"Rousseaux","sequence":"first","affiliation":[{"name":"Universities Space Research Association, Columbia, MD 21046, USA"},{"name":"Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Watson W.","family":"Gregg","sequence":"additional","affiliation":[{"name":"Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lesley","family":"Ott","sequence":"additional","affiliation":[{"name":"Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1046\/j.1365-2419.1999.00091.x","article-title":"Environmental conditions, satellite imagery, and clupeoid recruitment in the northern Benguela upwelling system","volume":"8","author":"Cole","year":"1999","journal-title":"Fish. Oceanogr."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.rse.2004.07.015","article-title":"Remote sensing data and longline catches of yellowfin tuna (Thunnus albacares) in the equatorial Atlantic","volume":"93","author":"Zagaglia","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.1139\/f07-115","article-title":"Does habitat or depth influence catch rates of pelagic species?","volume":"64","author":"Bigelow","year":"2007","journal-title":"Can. J. Fish. Aquat. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/0278-4343(89)90022-8","article-title":"Satellite-detected fronts and butterfish aggregations in the northeastern Gulf of Mexico","volume":"9","author":"Herron","year":"1989","journal-title":"Cont. Shelf Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1126\/science.aav6634","article-title":"Seasonal to multiannual marine ecosystem prediction with a global Earth system model","volume":"365","author":"Park","year":"2019","journal-title":"Science"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/srep27203","article-title":"Experiments with seasonal forecasts of ocean conditions for the northern region of the California Current upwelling system","volume":"6","author":"Siedlecki","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"11646","DOI":"10.1073\/pnas.1315855111","article-title":"Multiyear predictability of tropical marine productivity","volume":"111","author":"Bopp","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"653","DOI":"10.4319\/lo.1969.14.5.0653","article-title":"The concept of energy efficiency in primary production","volume":"14","author":"Platt","year":"1969","journal-title":"Limnol. Oceanogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1175\/1520-0442(2002)015<0470:EOPROT>2.0.CO;2","article-title":"Effects of penetrative radiation on the upper tropical ocean circulation","volume":"15","author":"Murtugudde","year":"2002","journal-title":"J. Clim."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3973","DOI":"10.1175\/JCLI3828.1","article-title":"Effects of ocean biology on the penetrative radiation in a coupled climate model","volume":"19","author":"Wetzel","year":"2006","journal-title":"J. Clim."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5921","DOI":"10.1073\/pnas.1416884112","article-title":"Amplified Arctic warming by phytoplankton under greenhouse warming","volume":"112","author":"Park","year":"2015","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1029\/2000GL012494","article-title":"Response of the equatorial Pacific to chlorophyll pigment in a mixed layer isopycnal ocean general circulation model","volume":"28","author":"Nakamoto","year":"2001","journal-title":"Geophys. Res. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Lengaigne, M., Madec, G., Bopp, L., Menkes, C., Aumont, O., and Cadule, P. (2009). Bio-physical feedbacks in the Arctic Ocean using an Earth system model. Geophys. Res. Lett., 36.","DOI":"10.1029\/2009GL040145"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Manizza, M., Le Qu\u00e9r\u00e9, C., Watson, A.J., and Buitenhuis, E.T. (2005). Bio-optical feedbacks among phytoplankton, upper ocean physics and sea-ice in a global model. Geophys. Res. Lett., 32.","DOI":"10.1029\/2004GL020778"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.5194\/essd-11-1783-2019","article-title":"Global carbon budget 2019","volume":"11","author":"Friedlingstein","year":"2019","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"45","DOI":"10.5194\/esd-10-45-2019","article-title":"Predicting near-term variability in ocean carbon uptake","volume":"10","author":"Lovenduski","year":"2019","journal-title":"Earth Syst. Dyn."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"e2019JD031767","DOI":"10.1029\/2019JD031767","article-title":"GEOS-S2S Version 2: The GMAO High-Resolution Coupled Model and Assimilation System for Seasonal Prediction","volume":"125","author":"Molod","year":"2020","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.dsr2.2006.12.007","article-title":"Modeling coccolithophores in the global oceans","volume":"54","author":"Gregg","year":"2007","journal-title":"Deep Sea Res. Part. Ii"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1674","DOI":"10.1002\/2015GB005139","article-title":"Recent decadal trends in global phytoplankton composition","volume":"29","author":"Rousseaux","year":"2015","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.jmarsys.2008.05.007","article-title":"Skill assessment of a spectral ocean-atmosphere radiative model","volume":"76","author":"Gregg","year":"2009","journal-title":"J. Mar. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2839","DOI":"10.1175\/1520-0493(1995)123<2839:ARGIOM>2.0.CO;2","article-title":"A reduced-gravity isopycnal ocean model: Hindcasts of El Ni\u00f1o","volume":"123","author":"Schopf","year":"1995","journal-title":"Mon. Weather Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3624","DOI":"10.1175\/JCLI-D-11-00015.1","article-title":"MERRA: NASA\u2019s Modern-Era Retrospective Analysis for Research and Applications","volume":"24","author":"Rienecker","year":"2011","journal-title":"J. Clim."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Gregg, W.W., and Rousseaux, C.S. (2014). Decadal Trends in Global Pelagic Ocean Chlorophyll: A New Assessment Combining Multiple Satellites, In Situ Data, and Models. J. Geophys. Res., 119.","DOI":"10.1002\/2014JC010158"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.jmarsys.2006.02.015","article-title":"Assimilation of SeaWiFS ocean chlorophyll data into a three-dimensional global ocean model","volume":"69","author":"Gregg","year":"2008","journal-title":"J. Mar. Syst."},{"key":"ref_25","first-page":"C10006","article-title":"Climate variability and phytoplankton composition in the Pacific Ocean","volume":"117","author":"Rousseaux","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_26","unstructured":"Conkright, M.E., Levitus, S., and Boyer, T.P. (1994). World Ocean. Atlas, Vol. 1: Nutrients, NOAA Atlas NESDIS 1, 150pp, DIANE Publishing."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6143","DOI":"10.1175\/2010JCLI3728.1","article-title":"Atmospheric blocking and mean biases in climate models","volume":"23","author":"Scaife","year":"2010","journal-title":"J. Clim."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5891","DOI":"10.1175\/JCLI-D-13-00597.1","article-title":"Predictability and forecast skill in NMME","volume":"27","author":"Becker","year":"2014","journal-title":"J. Clim."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1175\/1520-0442-12.1.273","article-title":"GCM systematic error correction and specification of the seasonal mean Pacific\u2013North America region atmosphere from global SSTs","volume":"12","author":"Smith","year":"1999","journal-title":"J. Clim."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2007.03.008","article-title":"Sampling biases in MODIS and SeaWiFS ocean chlorophyll data","volume":"111","author":"Gregg","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2887","DOI":"10.1002\/qj.49712556006","article-title":"Stochastic representation of model uncertainties in the ECMWF ensemble prediction system","volume":"125","author":"Buizza","year":"1999","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ford, D., Key, S., McEwan, R., Totterdell, I., and Gehlen, M. (2018). Marine biogeochemical modelling and data assimilation for operational forecasting, reanalysis, and climate research. New Front. Oper. Oceanogr., 625\u2013652.","DOI":"10.17125\/gov2018.ch22"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2565","DOI":"10.1029\/JC088iC04p02565","article-title":"Phytoplankton and thermal structure in the upper ocean: Consequences of nonuniformity in chlorophyll profile","volume":"88","author":"Lewis","year":"1983","journal-title":"J. Geophys. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Anderson, W., Gnanadesikan, A., Hallberg, R., Dunne, J., and Samuels, B. (2007). Impact of ocean color on the maintenance of the Pacific Cold Tongue. Geophys. Res. Lett., 34.","DOI":"10.1029\/2007GL030100"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1051\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:33:37Z","timestamp":1760160817000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1051"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,10]]},"references-count":34,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13061051"],"URL":"https:\/\/doi.org\/10.3390\/rs13061051","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,10]]}}}