This is a bibliography of papers published using BGC Argo Mission float data.

A complete list of all Argo publications is also maintained on this site.

To learn how to properly cite Argo data, click here.

Please send argo@ucsd.edu citations for Argo articles to keep this part of the bibliography updated.

Updated July 18, 2023.

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Anjaneyan, P., Kuttippurath, J., Hareesh Kumar, P. V., Ali, S. M., & Raman, M. (2023). Spatio-temporal changes of winter and spring phytoplankton blooms in Arabian sea during the period 1997–2020. Journal of Environmental Management, 332, 117435. https://doi.org/10.1016/j.jenvman.2023.117435
Bendtsen, J., Vives, C. R., & Richardson, K. (2023). Primary production in the North Atlantic estimated from in situ water column data observed by Argo floats and remote sensing. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1062413
Brand, S. V. S., Prend, C. J., & Talley, L. D. (2023). Modification of North Atlantic Deep Water by Pacific/Upper Circumpolar Deep Water in the Argentine Basin. Geophysical Research Letters, 50(2), e2022GL099419. https://doi.org/10.1029/2022GL099419
Brewin, R. J. W., Sathyendranath, S., Kulk, G., Rio, M.-H., Concha, J. A., Bell, T. G., Bracher, A., Fichot, C., Frölicher, T. L., Galí, M., Hansell, D. A., Kostadinov, T. S., Mitchell, C., Neeley, A. R., Organelli, E., Richardson, K., Rousseaux, C., Shen, F., Stramski, D., … Woolf, D. K. (2023). Ocean carbon from space: Current status and priorities for the next decade. Earth-Science Reviews, 240, 104386. https://doi.org/10.1016/j.earscirev.2023.104386
Bushinsky, S. M., & Cerovečki, I. (2023). Subantarctic Mode Water Biogeochemical Formation Properties and Interannual Variability. AGU Advances, 4(2), e2022AV000722. https://doi.org/10.1029/2022AV000722
Chidichimo, M. P., Perez, R. C., Speich, S., Kersalé, M., Sprintall, J., Dong, S., Lamont, T., Sato, O. T., Chereskin, T. K., Hummels, R., & Schmid, C. (2023). Energetic overturning flows, dynamic interocean exchanges, and ocean warming observed in the South Atlantic. Communications Earth & Environment, 4(1), 10. https://doi.org/10.1038/s43247-022-00644-x
Coggins, A., Watson, A. J., Schuster, U., Mackay, N., King, B., McDonagh, E., & Poulton, A. J. (2023). Surface ocean carbon budget in the 2017 south Georgia diatom bloom: Observations and validation of profiling biogeochemical argo floats. Deep Sea Research Part II: Topical Studies in Oceanography, 209, 105275. https://doi.org/10.1016/j.dsr2.2023.105275
Hauck, J., Nissen, C., Landschützer, P., Rödenbeck, C., Bushinsky, S., & Olsen, A. (2023). Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2249), 20220063. https://doi.org/10.1098/rsta.2022.0063
Huang, Y., Fassbender, A. J., & Bushinsky, S. M. (2023). Biogenic carbon pool production maintains the Southern Ocean carbon sink. Proceedings of the National Academy of Sciences, 120(18), e2217909120. https://doi.org/10.1073/pnas.2217909120
Keppler, L., Landschützer, P., Lauvset, S. K., & Gruber, N. (2023). Recent Trends and Variability in the Oceanic Storage of Dissolved Inorganic Carbon. Global Biogeochemical Cycles, 37(5), e2022GB007677. https://doi.org/10.1029/2022GB007677
Lacour, L., Llort, J., Briggs, N., Strutton, P. G., & Boyd, P. W. (2023). Seasonality of downward carbon export in the Pacific Southern Ocean revealed by multi-year robotic observations. Nature Communications, 14(1), 1278. https://doi.org/10.1038/s41467-023-36954-7
Land, P. E., Findlay, H. S., Shutler, J. D., Piolle, J. F., Sims, R., Green, H., Kitidis, V., Polukhin, A., & Pipko, I. I. (2023). OceanSODA-MDB: a standardised surface ocean carbonate system dataset for model–data intercomparisons. Earth Syst. Sci. Data, 15(2), 921–947. https://doi.org/10.5194/essd-15-921-2023
Linford, P., Pérez-Santos, I., Montes, I., Dewitte, B., Buchan, S., Narváez, D., Saldías, G., Pinilla, E., Garreaud, R., Díaz, P., Schwerter, C., Montero, P., Rodríguez-Villegas, C., Cáceres-Soto, M., Mancilla-Gutiérrez, G., & Altamirano, R. (2023). Recent Deoxygenation of Patagonian Fjord Subsurface Waters Connected to the Peru–Chile Undercurrent and Equatorial Subsurface Water Variability. Global Biogeochemical Cycles, 37(6), e2022GB007688. https://doi.org/10.1029/2022GB007688
Liu, Z.-H., Xing, X.-G., Chen, Z., Lu, S., Wu, X., Li, H., Zhang, C.-L., Cheng, L., Li, Z., Sun, C., Xu, J., Chen, D., & Chai, F. (2023). Twenty years of ocean observations with China Argo. Acta Oceanologica Sinica. http://dx.doi.org/10.1007/s13131-022-2076-3
Mazloff, M. R., Verdy, A., Gille, S. T., Johnson, K. S., Cornuelle, B. D., & Sarmiento, J. (2023). Southern Ocean Acidification Revealed by Biogeochemical-Argo Floats. Journal of Geophysical Research: Oceans, 128(5), e2022JC019530. https://doi.org/10.1029/2022JC019530
McKee, D. C., Doney, S. C., Della Penna, A., Boss, E. S., Gaube, P., & Behrenfeld, M. J. (2023). Biophysical Dynamics at Ocean Fronts Revealed by Bio-Argo Floats. Journal of Geophysical Research: Oceans, 128(3), e2022JC019226. https://doi.org/10.1029/2022JC019226
Mignot, A., Claustre, H., Cossarini, G., D’Ortenzio, F., Gutknecht, E., Lamouroux, J., Lazzari, P., Perruche, C., Salon, S., Sauzède, R., Taillandier, V., & Teruzzi, A. (2023). Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design. Biogeosciences, 20(7), 1405–1422. https://doi.org/10.5194/bg-20-1405-2023
Mo, A., Park, K., Park, J., Hahm, D., Kim, K., Ko, Y. H., Iriarte, J. L., Choi, J.-O., & Kim, T.-W. (2023). Assessment of austral autumn air–sea CO2 exchange in the Pacific sector of the Southern Ocean and dominant controlling factors. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1192959
Moreau, S., Hattermann, T., de Steur, L., Kauko, H. M., Ahonen, H., Ardelan, M., Assmy, P., Chierici, M., Descamps, S., Dinter, T., Falkenhaug, T., Fransson, A., Grønningsæter, E., Hallfredsson, E. H., Huhn, O., Lebrun, A., Lowther, A., Lübcker, N., Monteiro, P., … Steen, H. (2023). Wind-driven upwelling of iron sustains dense blooms and food webs in the eastern Weddell Gyre. Nature Communications, 14(1), 1303. https://doi.org/10.1038/s41467-023-36992-1
Neukermans, G., Bach, L. T., Butterley, A., Sun, Q., Claustre, H., & Fournier, G. R. (2023). Quantitative and mechanistic understanding of the open ocean carbonate pump - perspectives for remote sensing and autonomous in situ observation. Earth-Science Reviews, 239, 104359. https://doi.org/10.1016/j.earscirev.2023.104359
Pan, T., He, X., Bai, Y., Li, T., Gong, F., & Wang, D. (2023). Satellite retrieval of the linear polarization components of the water-leaving radiance in open oceans. Optics Express, 31(10), 15917–15939. https://doi.org/10.1364/OE.489680
Picado, A., Vaz, N., Alvarez, I., & Dias, J. M. (2023). Modelling coastal upwelling off NW Iberian Peninsula: New insights on the fate of phytoplankton blooms. Science of The Total Environment, 874, 162416. https://doi.org/10.1016/j.scitotenv.2023.162416
Pietropolli, G., Manzoni, L., & Cossarini, G. (2023). Multivariate Relationship in Big Data Collection of Ocean Observing System. Applied Sciences, 13(9). https://doi.org/10.3390/app13095634
Rickard, G. J., Behrens, E., Chiswell, S., Law, C. S., & Pinkerton, M. H. (2023). Biogeochemical and Physical Assessment of CMIP5 and CMIP6 Ocean Components for the Southwest Pacific Ocean. Journal of Geophysical Research: Biogeosciences, 128(5), e2022JG007123. https://doi.org/10.1029/2022JG007123
Russell, P., & Horvat, C. (2023). Extreme South Pacific Phytoplankton Blooms Induced by Tropical Cyclones. Geophysical Research Letters, 50(5), e2022GL100821. https://doi.org/10.1029/2022GL100821
Ryan, C., Santangelo, M., Stephenson, B., Branch, T. A., Wilson, E. A., & Savoca, M. S. (2023). Commercial krill fishing within a foraging supergroup of fin whales in the Southern Ocean. Ecology, 104(4), e4002. https://doi.org/10.1002/ecy.4002
Ryan-Keogh, T. J., Thomalla, S. J., Monteiro, P. M. S., & Tagliabue, A. (2023). Multidecadal trend of increasing iron stress in Southern Ocean phytoplankton. Science, 379(6634), 834–840. https://doi.org/10.1126/science.abl5237
Serra-Pompei, C., Hickman, A., Britten, G. L., & Dutkiewicz, S. (2023). Assessing the Potential of Backscattering as a Proxy for Phytoplankton Carbon Biomass. Global Biogeochemical Cycles, 37(6), e2022GB007556. https://doi.org/10.1029/2022GB007556
Siegel, D. A., DeVries, T., Cetinić, I., & Bisson, K. M. (2023). Quantifying the Ocean’s Biological Pump and Its Carbon Cycle Impacts on Global Scales. Annual Review of Marine Science, 15(1), 329–356. https://doi.org/10.1146/annurev-marine-040722-115226
Smyth, A. J., & Letscher, R. T. (2023). Spatial and temporal occurrence of preformed nitrate anomalies in the subtropical North Pacific and North Atlantic oceans. Marine Chemistry, 252, 104248. https://doi.org/10.1016/j.marchem.2023.104248
Stoer, A. C., & Fennel, K. (2023). Estimating ocean net primary productivity from daily cycles of carbon biomass measured by profiling floats. Limnology and Oceanography Letters, 8(2), 368–375. https://doi.org/10.1002/lol2.10295
Strutton, P. G., Trull, T. W., Phillips, H. E., Duran, E. R., & Pump, S. (2023). Biogeochemical Argo Floats Reveal the Evolution of Subsurface Chlorophyll and Particulate Organic Carbon in Southeast Indian Ocean Eddies. Journal of Geophysical Research: Oceans, 128(4), e2022JC018984. https://doi.org/10.1029/2022JC018984
Thomalla, S. J., Du Plessis, M., Fauchereau, N., Giddy, I., Gregor, L., Henson, S., Joubert, W. R., Little, H., Monteiro, P. M. S., Mtshali, T., Nicholson, S., Ryan-Keogh, T. J., & Swart, S. (2023). Southern Ocean phytoplankton dynamics and carbon export: insights from a seasonal cycle approach. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2249), 20220068. https://doi.org/10.1098/rsta.2022.0068
Turner, K. E., Smith, D. M., Katavouta, A., & Williams, R. G. (2023). Reconstructing ocean carbon storage with CMIP6 Earth system models and synthetic Argo observations. Biogeosciences, 20(8), 1671–1690. https://doi.org/10.5194/bg-20-1671-2023
Vives, C. R., Schallenberg, C., Strutton, P. G., & Boyd, P. W. (2023). Biogeochemical-Argo floats show that chlorophyll increases before carbon in the high-latitude Southern Ocean spring bloom. Limnology and Oceanography Letters, n/a(n/a). https://doi.org/10.1002/lol2.10322
Wang, B., & Fennel, K. (2023). An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo. Geophysical Research Letters, 50(3), e2022GL101220. https://doi.org/10.1029/2022GL101220
Xing, Q., Yu, H., Wang, H., Ito, S., & Chai, F. (2023). Mesoscale eddies modulate the dynamics of human fishing activities in the global midlatitude ocean. Fish and Fisheries, 24(4), 527–543. https://doi.org/10.1111/faf.12742
Zhang, T., Zheng, M., Sun, X., Chen, H., Wang, Y., Fan, X., Pan, Y., Quan, J., Liu, J., Wang, Y., Lyu, D., Chen, S., Zhu, T., & Chai, F. (2023). Environmental impacts of three Asian dust events in the northern China and the northwestern Pacific in spring 2021. Science of The Total Environment, 859, 160230. https://doi.org/10.1016/j.scitotenv.2022.160230
Zhang, Y., Bai, Y., He, X., Li, T., Jiang, Z., & Gong, F. (2023). Three stages in the variation of the depth of hypoxia in the California Current System 2003–2020 by satellite estimation. Science of The Total Environment, 874, 162398. https://doi.org/10.1016/j.scitotenv.2023.162398
Zhang, Z., Chen, P., Jamet, C., Dionisi, D., Hu, Y., Lu, X., & Pan, D. (2023). Retrieving bbp and POC from CALIOP: A deep neural network approach. Remote Sensing of Environment, 287, 113482. https://doi.org/10.1016/j.rse.2023.113482
Zhou, Y., Chen, S., Ma, W., Xi, J., Zhang, Z., & Xing, X. (2023). Spatiotemporal variations of the oxycline and its response to subduction events in the Arabian Sea. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1171614
Addey, C. I. (2022). Using Biogeochemical Argo floats to understand ocean carbon and oxygen dynamics. Nature Reviews Earth & Environment, 3(11), 739–739. https://doi.org/10.1038/s43017-022-00341-5
Arteaga, L. A., Behrenfeld, M. J., Boss, E., & Westberry, T. K. (2022). Vertical Structure in Phytoplankton Growth and Productivity Inferred From Biogeochemical-Argo Floats and the Carbon-Based Productivity Model. Global Biogeochemical Cycles, 36(8), e2022GB007389. https://doi.org/10.1029/2022GB007389
Baetge, N., Bolaños, L. M., Penna, A. D., Gaube, P., Liu, S., Opalk, K., Graff, J. R., Giovannoni, S. J., Behrenfeld, M. J., & Carlson, C. A. (2022). Bacterioplankton response to physical stratification following deep convection. Elementa: Science of the Anthropocene, 10(1). https://doi.org/10.1525/elementa.2021.00078
Barbieux, M., Uitz, J., Mignot, A., Roesler, C., Claustre, H., Gentili, B., Taillandier, V., D’Ortenzio, F., Loisel, H., Poteau, A., Leymarie, E., Penkerc’h, C., Schmechtig, C., & Bricaud, A. (2022). Biological production in two contrasted regions of the Mediterranean Sea during the oligotrophic period: an estimate based on the diel cycle of optical properties measured by BioGeoChemical-Argo profiling floats. Biogeosciences, 19(4), 1165–1194. https://doi.org/10.5194/bg-19-1165-2022
Beaton, A. D., Schaap, A. M., Pascal, R., Hanz, R., Martincic, U., Cardwell, C. L., Morris, A., Clinton-Bailey, G., Saw, K., Hartman, S. E., & Mowlem, M. C. (2022). Lab-on-Chip for In Situ Analysis of Nutrients in the Deep Sea. ACS Sensors, 7(1), 89–98. https://doi.org/10.1021/acssensors.1c01685
Begouen Demeaux, C., & Boss, E. (2022). Validation of Remote-Sensing Algorithms for Diffuse Attenuation of Downward Irradiance Using BGC-Argo Floats. Remote Sensing, 14(18), 4500. https://doi.org/10.3390/rs14184500
Bock, N., Cornec, M., Claustre, H., & Duhamel, S. (2022). Biogeographical Classification of the Global Ocean From BGC-Argo Floats. Global Biogeochemical Cycles, 36(6), e2021GB007233. https://doi.org/10.1029/2021GB007233
Brewin, R. J. W., Dall’Olmo, G., Gittings, J., Sun, X., Lange, P. K., Raitsos, D. E., Bouman, H. A., Hoteit, I., Aiken, J., & Sathyendranath, S. (2022). A Conceptual Approach to Partitioning a Vertical Profile of Phytoplankton Biomass Into Contributions From Two Communities. Journal of Geophysical Research: Oceans, 127(4), e2021JC018195. https://doi.org/10.1029/2021JC018195
Bruyant, F., Amiraux, R., Amyot, M. P., Archambault, P., Artigue, L., Barbedo de Freitas, L., Bécu, G., Bélanger, S., Bourgain, P., Bricaud, A., Brouard, E., Brunet, C., Burgers, T., Caleb, D., Chalut, K., Claustre, H., Cornet-Barthaux, V., Coupel, P., Cusa, M., … Babin, M. (2022). The Green Edge cruise: investigating the marginal ice zone processes during late spring and early summer to understand the fate of the Arctic phytoplankton bloom. Earth Syst. Sci. Data, 14(10), 4607–4642. https://doi.org/10.5194/essd-14-4607-2022
Capet, A., Taburet, G., Mason, E., Pujol, M. I., Grégoire, M., & Rio, M.-H. (2022). Using Argo Floats to Characterize Altimetry Products: A Study of Eddy-Induced Subsurface Oxygen Anomalies in the Black Sea. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.875653
Chamberlain, P. M. (2022). Semi-Lagrangian Float Motion and Observing System Design (2731501724) [Ph.D., University of California, San Diego]. Dissertations & Theses @ University of California; ProQuest Dissertations & Theses A&I. https://www.proquest.com/dissertations-theses/semi-lagrangian-float-motion-observing-system/docview/2731501724/se-2?accountid=14524
Chen, H., Haumann, F. A., Talley, L. D., Johnson, K. S., & Sarmiento, J. L. (2022). The Deep Ocean’s Carbon Exhaust. Global Biogeochemical Cycles, 36(7), e2021GB007156. https://doi.org/10.1029/2021GB007156
Chen, J., Gong, X., Guo, X., Xing, X., Lu, K., Gao, H., & Gong, X. (2022). Improved Perceptron of Subsurface Chlorophyll Maxima by a Deep Neural Network: A Case Study with BGC-Argo Float Data in the Northwestern Pacific Ocean. Remote Sensing, 14(3), 632. https://doi.org/10.3390/rs14030632
Chen, S., Meng, Y., Lin, S., & Xi, J. (2022). Remote Sensing of the Seasonal and Interannual Variability of Surface Chlorophyll-a Concentration in the Northwest Pacific over the Past 23 Years (1997–2020). Remote Sensing, 14(21). https://doi.org/10.3390/rs14215611
Cheriyan, E., Rao, A. R., & Sanilkumar, K. V. (2022). Response of sea surface temperature, chlorophyll and particulate organic carbon to a tropical cyclonic storm over the Arabian Sea, Southwest India. Dynamics of Atmospheres and Oceans, 97, 101287. https://doi.org/10.1016/j.dynatmoce.2022.101287
Chiswell, S. M., Gutiérrez-Rodríguez, A., Gall, M., Safi, K., Strzepek, R., Décima, M. R., & Nodder, S. D. (2022). Seasonal cycles of phytoplankton and net primary production from Biogeochemical Argo float data in the south-west Pacific Ocean. Deep Sea Research Part I: Oceanographic Research Papers, 187, 103834. https://doi.org/10.1016/j.dsr.2022.103834
Di Biagio, V., Salon, S., Feudale, L., & Cossarini, G. (2022). Subsurface oxygen maximum in oligotrophic marine ecosystems: mapping the interaction between physical and biogeochemical processes. Biogeosciences, 19(23), 5553–5574. https://doi.org/10.5194/bg-19-5553-2022
Ding, Y., Yu, F., Ren, Q., Nan, F., Wang, R., Liu, Y., & Tang, Y. (2022). The Physical-Biogeochemical Responses to a Subsurface Anticyclonic Eddy in the Northwest Pacific. Frontiers in Marine Science, 8. https://doi.org/10.3389/fmars.2021.766544
Dove, L. A., Balwada, D., Thompson, A. F., & Gray, A. R. (2022). Enhanced Ventilation in Energetic Regions of the Antarctic Circumpolar Current. Geophysical Research Letters, 49(13), e2021GL097574. https://doi.org/10.1029/2021GL097574
Emerson, S., & Yang, B. (2022). The Ocean’s Biological Pump: In Situ Oxygen Measurements in the Subtropical Oceans. Geophysical Research Letters, 49(21), e2022GL099834. https://doi.org/10.1029/2022GL099834
Falls, M., Bernardello, R., Castrillo, M., Acosta, M., Llort, J., & Galí, M. (2022). Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon. Geosci. Model Dev., 15(14), 5713–5737. https://doi.org/10.5194/gmd-15-5713-2022
Fennel, K., Mattern, J. P., Doney, S. C., Bopp, L., Moore, A. M., Wang, B., & Yu, L. (2022). Ocean biogeochemical modelling. Nature Reviews Methods Primers, 2(1), 76. https://doi.org/10.1038/s43586-022-00154-2
Fernández Castro, B., Mazloff, M., Williams, R. G., & Naveira Garabato, A. C. (2022). Subtropical Contribution to Sub-Antarctic Mode Waters. Geophysical Research Letters, 49(11), e2021GL097560. https://doi.org/10.1029/2021GL097560
Fujiki, T., Hosoda, S., & Harada, N. (2022). Phytoplankton blooms in summer and autumn in the northwestern subarctic Pacific detected by the mooring and float systems. Journal of Oceanography, 78(2), 63–72. https://doi.org/10.1007/s10872-021-00628-z
Galí, M., Falls, M., Claustre, H., Aumont, O., & Bernardello, R. (2022). Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean. Biogeosciences, 19(4), 1245–1275. https://doi.org/10.5194/bg-19-1245-2022
Girishkumar, M. S. (2022). Surface chlorophyll blooms in the Southern Bay of Bengal during the extreme positive Indian Ocean dipole. Climate Dynamics, 59(5), 1505–1519. https://doi.org/10.1007/s00382-021-06050-x
Gloege, L., Yan, M., Zheng, T., & McKinley, G. A. (2022). Improved Quantification of Ocean Carbon Uptake by Using Machine Learning to Merge Global Models and pCO2 Data. Journal of Advances in Modeling Earth Systems, 14(2), e2021MS002620. https://doi.org/10.1029/2021MS002620
Guo, M., Xiu, P., & Xing, X. (2022). Oceanic Fronts Structure Phytoplankton Distributions in the Central South Indian Ocean. Journal of Geophysical Research: Oceans, 127(1), e2021JC017594. https://doi.org/10.1029/2021JC017594
Horvat, C., Bisson, K., Seabrook, S., Cristi, A., & Matthes, L. C. (2022). Evidence of phytoplankton blooms under Antarctic sea ice. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.942799
Hu, Y., Shao, W., Li, J., Zhang, C., Cheng, L., & Ji, Q. (2022). Short-Term Variations in Water Temperature of the Antarctic Surface Layer. Journal of Marine Science and Engineering, 10(2), 287. https://doi.org/10.3390/jmse10020287
Hu, Q., Chen, X., He, X., Bai, Y., Zhong, Q., Gong, F., Zhu, Q., & Pan, D. (2022). Seasonal Variability of Phytoplankton Biomass Revealed by Satellite and BGC-Argo Data in the Central Tropical Indian Ocean. Journal of Geophysical Research: Oceans, 127(10), e2021JC018227. https://doi.org/10.1029/2021JC018227
Huang, C., Liu, Y., Luo, Y., Wang, Y., Liu, X., Zhang, Y., Zhuang, Y., & Tian, Y. (2022). Improvement and Assessment of Ocean Color Algorithms in the Northwest Pacific Fishing Ground Using Himawari-8, MODIS-Aqua, and VIIRS-SNPP. Remote Sensing, 14(15), 3610. https://doi.org/10.3390/rs14153610
Huang, Y., Fassbender, A. J., Long, J. S., Johannessen, S., & Bernardi Bif, M. (2022). Partitioning the Export of Distinct Biogenic Carbon Pools in the Northeast Pacific Ocean Using a Biogeochemical Profiling Float. Global Biogeochemical Cycles, 36(2), e2021GB007178. https://doi.org/10.1029/2021GB007178
Ito, T. (2022). Development of the Regional Carbon Cycle Model in the Central Pacific Sector of the Southern Ocean. Journal of Advances in Modeling Earth Systems, 14(6), e2021MS002757. https://doi.org/10.1029/2021MS002757
Jeon, J., & Tomita, T. (2022). Investigating the Effects of Super Typhoon HAGIBIS in the Northwest Pacific Ocean Using Multiple Observational Data. Remote Sensing, 14(22). https://doi.org/10.3390/rs14225667
Johnson, K. S., Mazloff, M. R., Bif, M. B., Takeshita, Y., Jannasch, H. W., Maurer, T. L., Plant, J. N., Verdy, A., Walz, P. M., Riser, S. C., & Talley, L. D. (2022). Carbon to Nitrogen Uptake Ratios Observed Across the Southern Ocean by the SOCCOM Profiling Float Array. Journal of Geophysical Research: Oceans, 127(9), e2022JC018859. https://doi.org/10.1029/2022JC018859
Kiko, R., Picheral, M., Antoine, D., Babin, M., Berline, L., Biard, T., Boss, E., Brandt, P., Carlotti, F., Christiansen, S., Coppola, L., de la Cruz, L., Diamond-Riquier, E., Durrieu de Madron, X., Elineau, A., Gorsky, G., Guidi, L., Hauss, H., Irisson, J. O., … Stemmann, L. (2022). A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5. Earth Syst. Sci. Data, 14(9), 4315–4337. https://doi.org/10.5194/essd-14-4315-2022
Koestner, D., Stramski, D., & Reynolds, R. A. (2022). A Multivariable Empirical Algorithm for Estimating Particulate Organic Carbon Concentration in Marine Environments From Optical Backscattering and Chlorophyll-a Measurements. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.941950
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