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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Liebrand, Diederik; Raffi, Isabella; Fraguas, Ángela; Laxenaire, Rémi; Bosmans, Joyce H C; Hilgen, Frederik J; Wilson, Paul A; Batenburg, Sietske J; Beddow, Helen M; Bohaty, Steven M; Bown, Paul R; Crocker, Anya J; Huck, Claire E; Lourens, Lucas Joost; Sabia, Luciana (2018): Orbitally Forced Hyperstratification of the Oligocene South Atlantic Ocean. Paleoceanography and Paleoclimatology, 33(5), 511-529, https://doi.org/10.1002/2017PA003222
    Publication Date: 2024-04-25
    Description: Pelagic sediments from the subtropical South Atlantic Ocean contain geographically extensive Oligocene ooze and chalk layers that consist almost entirely of the calcareous nannofossil Braarudosphaera. Poor recovery and the lack of precise dating of these horizons in previous studies has limited our understanding of the exact number of acmes, their timing and durations, and the causes of their recurrence. Here we present a high-resolution, astronomically tuned stratigraphy of Braarudosphaera oozes (29.5-27.9 Ma) from Ocean Drilling Program Site 1264 in the subtropical southeastern Atlantic Ocean. We identify seven acme events in the Braarudosphaera abundance record. The longest lasting acme event corresponds to a strong minimum in the ~2.4-My eccentricity cycle, and four acme events coincide with ~110-ky and 405-ky eccentricity maxima. We propose that eccentricity-modulated precession forcing of the freshwater budget of the South Atlantic Ocean resulted in the episodic formation of a shallow pycnocline and hyperstratification of the upper water column. We speculate that stratified surface water conditions may have served as a virtual sea floor, which facilitated the widespread Braarudosphaera acmes. This explanation reconciles the contrasting distribution patterns of Braarudosphaera in the modern ocean, limited largely to shallow water coastal settings, compared to their relatively brief and expanded oceanic distribution in the past.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2024-05-14
    Description: Here we provide particle size and biovolume distribution data from an Underwater Vision Profiler 6, mounted on a BGC Argo Float with the WMO number 6903095. The float was deployed in a cyclonic eddy off Cape Columbine, South Africa on the 13 April 2021 close to the eddy center at 33.07 degree South, 13.89 degree East. Parking depth was set at 300 m and profiling depth initially to 600 m and later increased to 1000 m depth to maintain the float in the eddy. Profiling frequency was every three days. It stayed within this eddy for about five months and then operated East and Southeast of South Africa until it was deliberately picked up on the 17 September 2022 at 34.43 degrees South and 10.21 degrees East.
    Keywords: 0000a_WMO6903095; 0000p_WMO6903095; 0001a_WMO6903095; 0001p_WMO6903095; 0002a_WMO6903095; 0002p_WMO6903095; 0003a_WMO6903095; 0003p_WMO6903095; 0004a_WMO6903095; 0004p_WMO6903095; 0005a_WMO6903095; 0005p_WMO6903095; 0006a_WMO6903095; 0006p_WMO6903095; 0007a_WMO6903095; 0007p_WMO6903095; 0008a_WMO6903095; 0008p_WMO6903095; 0009a_WMO6903095; 0009p_WMO6903095; 0010a_WMO6903095; 0010p_WMO6903095; 0011a_WMO6903095; 0011p_WMO6903095; 0012a_WMO6903095; 0012p_WMO6903095; 0013a_WMO6903095; 0013p_WMO6903095; 0014a_WMO6903095; 0014p_WMO6903095; 0015a_WMO6903095; 0015p_WMO6903095; 0016a_WMO6903095; 0016p_WMO6903095; 0017a_WMO6903095; 0017p_WMO6903095; 0018a_WMO6903095; 0018p_WMO6903095; 0019a_WMO6903095; 0019p_WMO6903095; 0020a_WMO6903095; 0020p_WMO6903095; 0021a_WMO6903095; 0021p_WMO6903095; 0022a_WMO6903095; 0022p_WMO6903095; 0023a_WMO6903095; 0023p_WMO6903095; 0024a_WMO6903095; 0024p_WMO6903095; 0025a_WMO6903095; 0025p_WMO6903095; 0026a_WMO6903095; 0026p_WMO6903095; 0027a_WMO6903095; 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0055p_WMO6903095; 0056a_WMO6903095; 0056p_WMO6903095; 0057a_WMO6903095; 0057p_WMO6903095; 0058a_WMO6903095; 0058p_WMO6903095; 0059a_WMO6903095; 0059p_WMO6903095; 0060a_WMO6903095; 0060p_WMO6903095; 0061a_WMO6903095; 0061p_WMO6903095; 0062a_WMO6903095; 0062p_WMO6903095; 0063a_WMO6903095; 0063p_WMO6903095; 0064a_WMO6903095; 0064p_WMO6903095; 0065a_WMO6903095; 0065p_WMO6903095; 0066a_WMO6903095; 0066p_WMO6903095; 0067a_WMO6903095; 0067p_WMO6903095; 0068a_WMO6903095; 0068p_WMO6903095; 0069a_WMO6903095; 0069p_WMO6903095; 0070a_WMO6903095; 0070p_WMO6903095; 0071a_WMO6903095; 0071p_WMO6903095; 0072a_WMO6903095; 0072p_WMO6903095; 0073a_WMO6903095; 0073p_WMO6903095; 0074a_WMO6903095; 0074p_WMO6903095; 0075a_WMO6903095; 0075p_WMO6903095; 0076a_WMO6903095; 0076p_WMO6903095; 0077a_WMO6903095; 0077p_WMO6903095; 0078a_WMO6903095; 0078p_WMO6903095; 0079a_WMO6903095; 0079p_WMO6903095; 0080a_WMO6903095; 0080p_WMO6903095; 0081a_WMO6903095; 0081p_WMO6903095; 0082a_WMO6903095; 0082p_WMO6903095; 0083a_WMO6903095; 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0111p_WMO6903095; 0112a_WMO6903095; 0112p_WMO6903095; 0113a_WMO6903095; 0113p_WMO6903095; 0114a_WMO6903095; 0114p_WMO6903095; 0115a_WMO6903095; 0115p_WMO6903095; 0116a_WMO6903095; 0116p_WMO6903095; 0117a_WMO6903095; 0117p_WMO6903095; 0118a_WMO6903095; 0118p_WMO6903095; 0119a_WMO6903095; 0119p_WMO6903095; 0120a_WMO6903095; 0120p_WMO6903095; 0121a_WMO6903095; 0121p_WMO6903095; 0122a_WMO6903095; 0122p_WMO6903095; 0123a_WMO6903095; 0123p_WMO6903095; 0124a_WMO6903095; 0124p_WMO6903095; 0125a_WMO6903095; 0125p_WMO6903095; 0126a_WMO6903095; 0126p_WMO6903095; 0127a_WMO6903095; 0127p_WMO6903095; 0128a_WMO6903095; 0128p_WMO6903095; 0129a_WMO6903095; 0129p_WMO6903095; 0130a_WMO6903095; 0130p_WMO6903095; 0131a_WMO6903095; 0131p_WMO6903095; 0132a_WMO6903095; 0132p_WMO6903095; 0133a_WMO6903095; 0133p_WMO6903095; 0134a_WMO6903095; 0134p_WMO6903095; 0135a_WMO6903095; 0135p_WMO6903095; 0136a_WMO6903095; 0136p_WMO6903095; 0137a_WMO6903095; 0137p_WMO6903095; 0138a_WMO6903095; 0138p_WMO6903095; 0139a_WMO6903095; 0139p_WMO6903095; 0140a_WMO6903095; 0140p_WMO6903095; 0141a_WMO6903095; 0141p_WMO6903095; 0142a_WMO6903095; 0142p_WMO6903095; 0143a_WMO6903095; 0143p_WMO6903095; 0144a_WMO6903095; 0144p_WMO6903095; 0145a_WMO6903095; 0145p_WMO6903095; 0146a_WMO6903095; 0146p_WMO6903095; 0147a_WMO6903095; 0147p_WMO6903095; 0148a_WMO6903095; 0148p_WMO6903095; 0149a_WMO6903095; 0149p_WMO6903095; 0150a_WMO6903095; 0150p_WMO6903095; 0151a_WMO6903095; 0151p_WMO6903095; 0152a_WMO6903095; 0152p_WMO6903095; 0153a_WMO6903095; 0153p_WMO6903095; 0154a_WMO6903095; 0154p_WMO6903095; 0155a_WMO6903095; 0155p_WMO6903095; 0156a_WMO6903095; 0156p_WMO6903095; 0157a_WMO6903095; 0157p_WMO6903095; 0158a_WMO6903095; 0158p_WMO6903095; 0159a_WMO6903095; 0159p_WMO6903095; 0160a_WMO6903095; 0160p_WMO6903095; 0161a_WMO6903095; 0161p_WMO6903095; 0162a_WMO6903095; 0162p_WMO6903095; 0163a_WMO6903095; 0163p_WMO6903095; 0164a_WMO6903095; 0164p_WMO6903095; 0165a_WMO6903095; 0165p_WMO6903095; 0166a_WMO6903095; 0166p_WMO6903095; 0167a_WMO6903095; 0167p_WMO6903095; 0168a_WMO6903095; 0168p_WMO6903095; 0169a_WMO6903095; 0169p_WMO6903095; 0170a_WMO6903095; 0170p_WMO6903095; 0171a_WMO6903095; 0171p_WMO6903095; 0172a_WMO6903095; 0172p_WMO6903095; 0173a_WMO6903095; 0173p_WMO6903095; 0174a_WMO6903095; 0174p_WMO6903095; 0175a_WMO6903095; 0175p_WMO6903095; 0176a_WMO6903095; 0176p_WMO6903095; 0177a_WMO6903095; 0177p_WMO6903095; 0178a_WMO6903095; 0178p_WMO6903095; 0179a_WMO6903095; 0179p_WMO6903095; 0180a_WMO6903095; 0180p_WMO6903095; 0181a_WMO6903095; 0181p_WMO6903095; 0182a_WMO6903095; 0182p_WMO6903095; 0183a_WMO6903095; 0183p_WMO6903095; ARGOFL; Argo float; Biovolume; DATE/TIME; Event label; in situ imaging; LATITUDE; LONGITUDE; MOPGA-TAD; Particle concentration, fractionated; particle distribution; Pressure, water; Sample code/label; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2518238 data points
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  • 3
    Publication Date: 2021-10-29
    Type: Conference or Workshop Item , NonPeerReviewed
    Format: text
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  • 4
    Publication Date: 2024-02-07
    Description: In February 2020, a 120-km-wide freshwater plume was documented by satellite and in situ observations near the Demerara Rise (7°N/54°W-56°W). It was initially stratified in the upper 10 m with a freshwater content of 2–3 m of Amazon water distributed down to 40 m. On February 2nd, ship transects indicate an inhomogeneous shelf structure with a propagating front in its midst, whereas minimum salinity close to 30 pss was observed close to the shelf break on February 5th. The salinity minimum eroded in time but was still observed 13–16 days later with 33.3 pss minimum value up to 400 km from the shelf break. At this time, the mixed layer depth was close to 20 m. The off-shelf flow lasted 10 days, contributing to a plume area extending over 100,000 km2 and associated with a 0.15 Sv (106 m3 s−1) freshwater transport. The off-shelf plume was steered northward by a North Brazil Current ring up to 12°N and then extended westward toward the Caribbean Sea. Its occurrence followed 3 days of favorable wind direction closer to the Amazon estuary, which contributed to north-westward freshwater transport on the shelf. Other such events of freshwater transport in January–March are documented since 2010 in salinity satellite products in 7 out of 10 years, and in 6 of those years, they were preceded by a change in wind direction between the Amazon estuary and the Guianas favoring the north-westward freshwater transport toward the shelf break.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 5
    Publication Date: 2024-02-07
    Description: North Brazil Current (NBC) rings are believed to play a key role in the Atlantic Ocean circulation and climate. Here, we use a new collection of high-resolution in-situ observations acquired during the EUREC4A-OA field experiment together with satellite altimetry to define, with unprecedented detail, the structure and evolution of these eddies. In-situ observations reveal a more complex structure than previously documented. In particular, we highlight a measurable impact of the Amazon outflow in creating a barrier layer over a large portion of the eddies. We show that this unprecedented data set allows us to estimate the accuracy of satellite altimetry gridded fields. The geostrophic velocities derived from satellite altimetry turn out to be considerably lower (up to 50% in amplitude) than the values measured by current meters. However, eddy properties as detected by TOEddies, a newly developed algorithm show to be relatively precise. For example, the eddy center and maximum azimuthal velocity contour fall within 25 ± 5 km and 16 ± 9 km, respectively, from the in-situ observed values. We apply TOEddies to 27 years of satellite altimetry to investigate the generic NBC rings behavior. We found a mean generation rate of 4.5 ± 1.1 rings per year, and a strong seasonal cycle in all eddy properties.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 6
    Publication Date: 2024-02-07
    Description: The northwestern Tropical Atlantic Ocean is a turbulent region, filled with mesoscale eddies and regional currents. In this intense dynamical context, several water masses with thermohaline characteristics of different origins are advected, mixed, and stirred at the surface and at depth. The EUREC4A-OA/ATOMIC experiment that took place in January and February 2020 was dedicated to assessing the processes at play in this region, especially the interaction between the ocean and the atmosphere. For that reason, four oceanographic vessels and different autonomous platforms measured properties near the air–sea interface and acquired thousands of upper-ocean (up to 400–2000 m depth) profiles. However, each device had its own observing capability, varying from deep measurements acquired during vessel stations to shipboard underway near-surface observations and measurements from autonomous and uncrewed systems (such as Saildrones). These observations were undertaken with a specific sampling strategy guided by near-real-time satellite maps and adapted every half day, based on the process that was investigated. These processes were characterized by different spatiotemporal scales, from mesoscale eddies, with diameters exceeding 100 km, to submesoscale filaments of 1 km width. This article describes the datasets gathered from the different devices and how the data were calibrated and validated. In order to ensure an overall consistency, the platforms' datasets are cross-validated using a hierarchy of instruments defined by their own specificity and calibration procedures. This has enabled the quantification of the uncertainty in the measured parameters when different datasets are used together, e.g., https://doi.org/10.17882/92071 (L'Hégaret et al., 2020a).
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 7
    Publication Date: 2021-04-14
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2022-10-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Foltz, G. R., Brandt, P., Richter, I., Rodriguez-Fonsecao, B., Hernandez, F., Dengler, M., Rodrigues, R. R., Schmidt, J. O., Yu, L., Lefevre, N., Da Cunha, L. C., Mcphaden, M. J., Araujo, M., Karstensen, J., Hahn, J., Martin-Rey, M., Patricola, C. M., Poli, P., Zuidema, P., Hummels, R., Perez, R. C., Hatje, V., Luebbecke, J. F., Palo, I., Lumpkin, R., Bourles, B., Asuquo, F. E., Lehodey, P., Conchon, A., Chang, P., Dandin, P., Schmid, C., Sutton, A., Giordani, H., Xue, Y., Illig, S., Losada, T., Grodsky, S. A., Gasparinss, F., Lees, T., Mohino, E., Nobre, P., Wanninkhof, R., Keenlyside, N., Garcon, V., Sanchez-Gomez, E., Nnamchi, H. C., Drevillon, M., Storto, A., Remy, E., Lazar, A., Speich, S., Goes, M., Dorrington, T., Johns, W. E., Moum, J. N., Robinson, C., Perruches, C., de Souza, R. B., Gaye, A. T., Lopez-Paragess, J., Monerie, P., Castellanos, P., Benson, N. U., Hounkonnou, M. N., Trotte Duha, J., Laxenairess, R., & Reul, N. The tropical Atlantic observing system. Frontiers in Marine Science, 6(206), (2019), doi:10.3389/fmars.2019.00206.
    Description: he tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific. The tropical Atlantic also connects the southern and northern branches of the Atlantic meridional overturning circulation and receives freshwater input from some of the world’s largest rivers. To address these diverse, unique, and interconnected research challenges, a rich network of ocean observations has developed, building on the backbone of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). This network has evolved naturally over time and out of necessity in order to address the most important outstanding scientific questions and to improve predictions of tropical Atlantic severe weather and global climate variability and change. The tropical Atlantic observing system is motivated by goals to understand and better predict phenomena such as tropical Atlantic interannual to decadal variability and climate change; multidecadal variability and its links to the meridional overturning circulation; air-sea fluxes of CO2 and their implications for the fate of anthropogenic CO2; the Amazon River plume and its interactions with biogeochemistry, vertical mixing, and hurricanes; the highly productive eastern boundary and equatorial upwelling systems; and oceanic oxygen minimum zones, their impacts on biogeochemical cycles and marine ecosystems, and their feedbacks to climate. Past success of the tropical Atlantic observing system is the result of an international commitment to sustained observations and scientific cooperation, a willingness to evolve with changing research and monitoring needs, and a desire to share data openly with the scientific community and operational centers. The observing system must continue to evolve in order to meet an expanding set of research priorities and operational challenges. This paper discusses the tropical Atlantic observing system, including emerging scientific questions that demand sustained ocean observations, the potential for further integration of the observing system, and the requirements for sustaining and enhancing the tropical Atlantic observing system.
    Description: MM-R received funding from the MORDICUS grant under contract ANR-13-SENV-0002-01 and the MSCA-IF-EF-ST FESTIVAL (H2020-EU project 797236). GF, MG, RLu, RP, RW, and CS were supported by NOAA/OAR through base funds to AOML and the Ocean Observing and Monitoring Division (OOMD; fund reference 100007298). This is NOAA/PMEL contribution #4918. PB, MDe, JH, RH, and JL are grateful for continuing support from the GEOMAR Helmholtz Centre for Ocean Research Kiel. German participation is further supported by different programs funded by the Deutsche Forschungsgemeinschaft, the Deutsche Bundesministerium für Bildung und Forschung (BMBF), and the European Union. The EU-PREFACE project funded by the EU FP7/2007–2013 programme (Grant No. 603521) contributed to results synthesized here. LCC was supported by the UERJ/Prociencia-2018 research grant. JOS received funding from the Cluster of Excellence Future Ocean (EXC80-DFG), the EU-PREFACE project (Grant No. 603521) and the BMBF-AWA project (Grant No. 01DG12073C).
    Keywords: Tropical Atlantic Ocean ; Observing system ; Weather ; Climate ; Hurricanes ; Biogeochemistry ; Ecosystems ; Coupled model bias
    Repository Name: Woods Hole Open Access Server
    Type: Article
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    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Stevens, B., Bony, S., Farrell, D., Ament, F., Blyth, A., Fairall, C., Karstensen, J., Quinn, P. K., Speich, S., Acquistapace, C., Aemisegger, F., Albright, A. L., Bellenger, H., Bodenschatz, E., Caesar, K.-A., Chewitt-Lucas, R., de Boer, G., Delanoë, J., Denby, L., Ewald, F., Fildier, B., Forde, M., George, G., Gross, S., Hagen, M., Hausold, A., Heywood, K. J., Hirsch, L., Jacob, M., Jansen, F., Kinne, S., Klocke, D., Kölling, T., Konow, H., Lothon, M., Mohr, W., Naumann, A. K., Nuijens, L., Olivier, L., Pincus, R., Pöhlker, M., Reverdin, G., Roberts, G., Schnitt, S., Schulz, H., Siebesma, A. P., Stephan, C. C., Sullivan, P., Touzé-Peiffer, L., Vial, J., Vogel, R., Zuidema, P., Alexander, N., Alves, L., Arixi, S., Asmath, H., Bagheri, G., Baier, K., Bailey, A., Baranowski, D., Baron, A., Barrau, S., Barrett, P. A., Batier, F., Behrendt, A., Bendinger, A., Beucher, F., Bigorre, S., Blades, E., Blossey, P., Bock, O., Böing, S., Bosser, P., Bourras, D., Bouruet-Aubertot, P., Bower, K., Branellec, P., Branger, H., Brennek, M., Brewer, A., Brilouet , P.-E., Brügmann, B., Buehler, S. A., Burke, E., Burton, R., Calmer, R., Canonici, J.-C., Carton, X., Cato Jr., G., Charles, J. A., Chazette, P., Chen, Y., Chilinski, M. T., Choularton, T., Chuang, P., Clarke, S., Coe, H., Cornet, C., Coutris, P., Couvreux, F., Crewell, S., Cronin, T., Cui, Z., Cuypers, Y., Daley, A., Damerell, G. M., Dauhut, T., Deneke, H., Desbios, J.-P., Dörner, S., Donner, S., Douet, V., Drushka, K., Dütsch, M., Ehrlich, A., Emanuel, K., Emmanouilidis, A., Etienne, J.-C., Etienne-Leblanc, S., Faure, G., Feingold, G., Ferrero, L., Fix, A., Flamant, C., Flatau, P. J., Foltz, G. R., Forster, L., Furtuna, I., Gadian, A., Galewsky, J., Gallagher, M., Gallimore, P., Gaston, C., Gentemann, C., Geyskens, N., Giez, A., Gollop, J., Gouirand, I., Gourbeyre, C., de Graaf, D., de Groot, G. E., Grosz, R., Güttler, J., Gutleben, M., Hall, K., Harris, G., Helfer, K. C., Henze, D., Herbert, C., Holanda, B., Ibanez-Landeta, A., Intrieri, J., Iyer, S., Julien, F., Kalesse, H., Kazil, J., Kellman, A., Kidane, A. T., Kirchner, U., Klingebiel, M., Körner, M., Kremper, L. A., Kretzschmar, J., Krüger, O., Kumala, W., Kurz, A., L'Hégaret, P., Labaste, M., Lachlan-Cope, T., Laing, A., Landschützer, P., Lang, T., Lange, D., Lange, I., Laplace, C., Lavik, G., Laxenaire, R., Le Bihan, C., Leandro, M., Lefevre, N., Lena, M., Lenschow, D., Li, Q., Lloyd, G., Los, S., Losi, N., Lovell, O., Luneau, C., Makuch, P., Malinowski, S., Manta, G., Marinou, E., Marsden, N., Masson, S., Maury, N., Mayer, B., Mayers-Als, M., Mazel, C., McGeary, W., McWilliams, J. C., Mech, M., Mehlmann, M., Meroni, A. N., Mieslinger, T., Minikin, A., Minnett, P., Möller, G., Morfa Avalos, Y., Muller, C., Musat, I., Napoli, A., Neuberger, A., Noisel, C., Noone, D., Nordsiek, F., Nowak, J. L., Oswald, L., Parker, D. J., Peck, C., Person, R., Philippi, M., Plueddemann, A., Pöhlker, C., Pörtge, V., Pöschl, U., Pologne, L., Posyniak, M., Prange, M., Quiñones Meléndez, E., Radtke, J., Ramage, K., Reimann, J., Renault, L., Reus, K., Reyes, A., Ribbe, J., Ringel, M., Ritschel, M., Rocha, C. B., Rochetin, N., Röttenbacher, J., Rollo, C., Royer, H., Sadoulet, P., Saffin, L., Sandiford, S., Sandu, I., Schäfer, M., Schemann, V., Schirmacher, I., Schlenczek, O., Schmidt, J., Schröder, M., Schwarzenboeck, A., Sealy, A., Senff, C. J., Serikov, I., Shohan, S., Siddle, E., Smirnov, A., Späth, F., Spooner, B., Stolla, M. K., Szkółka, W., de Szoeke, S. P., Tarot, S., Tetoni, E., Thompson, E., Thomson, J., Tomassini, L., Totems, J., Ubele, A. A., Villiger, L., von Arx, J., Wagner, T., Walther, A., Webber, B., Wendisch, M., Whitehall, S., Wiltshire, A., Wing, A. A., Wirth, M., Wiskandt, J., Wolf, K., Worbes, L., Wright, E., Wulfmeyer, V., Young, S., Zhang, C., Zhang, D., Ziemen, F., Zinner, T., and Zöger, M.: EUREC4A. Earth System Science Data, 13(8), (2021): 4067–4119, https://doi.org/10.5194/essd-13-4067-2021.
    Description: The science guiding the EUREC4A campaign and its measurements is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. Through its ability to characterize processes operating across a wide range of scales, EUREC4A marked a turning point in our ability to observationally study factors influencing clouds in the trades, how they will respond to warming, and their link to other components of the earth system, such as upper-ocean processes or the life cycle of particulate matter. This characterization was made possible by thousands (2500) of sondes distributed to measure circulations on meso- (200 km) and larger (500 km) scales, roughly 400 h of flight time by four heavily instrumented research aircraft; four global-class research vessels; an advanced ground-based cloud observatory; scores of autonomous observing platforms operating in the upper ocean (nearly 10 000 profiles), lower atmosphere (continuous profiling), and along the air–sea interface; a network of water stable isotopologue measurements; targeted tasking of satellite remote sensing; and modeling with a new generation of weather and climate models. In addition to providing an outline of the novel measurements and their composition into a unified and coordinated campaign, the six distinct scientific facets that EUREC4A explored – from North Brazil Current rings to turbulence-induced clustering of cloud droplets and its influence on warm-rain formation – are presented along with an overview of EUREC4A's outreach activities, environmental impact, and guidelines for scientific practice. Track data for all platforms are standardized and accessible at https://doi.org/10.25326/165 (Stevens, 2021), and a film documenting the campaign is provided as a video supplement.
    Description: This research has been supported by the people and government of Barbados; the Max Planck Society and its supporting members; the German Research Foundation (DFG) and the German Federal Ministry of Education and Research (grant nos. GPF18-1_69 and GPF18-2_50); the European Research Council (ERC) advanced grant EUREC4A (grant agreement no. 694768) under the European Union’s Horizon 2020 research and innovation program (H2020), with additional support from CNES (the French National Centre for Space Studies) through the EECLAT proposal, Météo-France, the CONSTRAIN H2020 project (grant agreement no. 820829), and the French AERIS Research Infrastructure; the Natural Environment Research Council (NE/S015868/1, NE/S015752/1, and NE/S015779/1); ERC under the European Union’s H2020 program (COMPASS, advanced grant agreement no. 74110); the French national program LEFE INSU, by IFREMER, the French research fleet, CNES, the French research infrastructures AERIS and ODATIS, IPSL, the Chaire Chanel program of the Geosciences Department at ENS, and the European Union's Horizon 2020 research and innovation program under grant agreement no. 817578 TRIATLAS; NOAA’s Climate Variability and Prediction Program within the Climate Program Office (grant nos. GC19-305 and GC19-301); NOAA cooperative agreement NA15OAR4320063; NOAA's Climate Program Office and base funds to NOAA/AOML's Physical Oceanography Division; Swiss National Science Foundation grant no. 188731; the UAS Program Office, Climate Program Office, and Physical Sciences Laboratory and by the US National Science Foundation (NSF) through grant AGS-1938108; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2037 “CLICCS – Climate, Climatic Change, and Society” – project no. 390683824; and Poland’s National Science Centre grant no. UMO-2018/30/M/ST10/00674 and Foundation for Polish Science grant no. POIR.04.04.00-00-3FD6/17-02.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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