SR2421 – R2R

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Operator: Scripps Institution of Oceanography

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CRUISE ID	SUMMARY	START DATE	START PORT	END DATE	END PORT
SR2421	Project: CalCOFI Summer Fall 2024 Chief: Vogel, Kelsey	2024-11-15	San Diego, California	2024-11-24	San Diego, California

PROCESSED PRODUCTS

DATA TYPE	DEVICE TYPE(S)	PRODUCER	FORMAT	DATA
Elog	None	Rolling Deck to Repository	r2relog
Navigation	ins (Kongsberg Seapath 380-R3)	Rolling Deck to Repository	r2rnav_geocsv
SAMOS meteorology	None	Rolling Deck to Repository	samos_netcdf

NOTE: Products generated by R2R should be used for evaluation only. Quality of products by other organizations is unknown. Contact R2R with any questions or requests.

UNDERWAY DATA SETS

DEVICE TYPE	MAKE-MODEL [LOCATION]	DOI	DATA
ADCP	Hawaii UHDAS	None
Expendable Probe	Turo Quoll	None
GNSS	Hemisphere V104S	None
Gravimeter	DgS AT1M	None
INS	Kongsberg Seapath 380-R3	None
Met Station	SIO MET-System	None
Multibeam Sonar	Kongsberg EM712	None
Multibeam Sonar	Kongsberg EM712 [water column]	None
Multibeam Sonar	Kongsberg EM124	None
Multibeam Sonar	Kongsberg EM124 [watercolumn]	None
pCO2	GeneralOceanics 8050	None
Splitbeam Sonar	Kongsberg EK80	None
TSG	SeaBird SBE-45	None

NOTE: This data set inventory may not be complete. Please Contact R2R with questions or requests.

CRUISE DATA AT OTHER SYSTEMS

REMOTE SYSTEM	DATA
Shipboard Automated Meteorological and Oceanographic System (Info)	RT METOC Data

SCIENCE PARTY

RELATED DOCS & PUBLICATIONS

Elipot, S. et al., 2022. A dataset of hourly sea surface temperature from drifting buoys. Sci Data, 9, 1, . DOI: 10.1038/s41597-022-01670-2
Wong, A.P.S. et al., 2023. Argo salinity: bias and uncertainty evaluation. Earth Syst. Sci. Data, 15, 1, 383-393 . DOI: 10.5194/essd-15-383-2023
Koelling, J. et al., 2020. Decadal Strengthening of Interior Flow of North Atlantic Deep Water Observed by GRACE Satellites. JGR Oceans, 125, 11, . DOI: 10.1029/2020jc016217
Nelson, M. et al., 2024. Delayed Recovery of the Irminger Interior From Cooling in 2015 Due To Widespread Buoyancy Loss and Suppressed Restratification. Geophys. Res. Lett., 51, 2, . DOI: 10.1029/2023gl106501
Ziegenhorn, M.A. et al., 2022. Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods. PLoS ONE, 17, 4, e0266424 . DOI: 10.1371/journal.pone.0266424
Schönau, M.C. et al., 2024. In Situ Observations at the Air‐Sea Interface by Expendable Air‐Deployed Drifters Under Hurricane Michael (2018). Geophys. Res. Lett., 51, 5, . DOI: 10.1029/2023gl105730
Heuzé, C. et al., 2022. It is high time we monitor the deep ocean. Environ. Res. Lett., 17, 12, 121002 . DOI: 10.1088/1748-9326/aca622
Johnson, G.C. et al., 2024. Refined Estimates of Global Ocean Deep and Abyssal Decadal Warming Trends. Geophys. Res. Lett., 51, 18, . DOI: 10.1029/2024gl111229
Werb, B.E. et al., 2023. Remarkable Changes in the Dominant Modes of North Pacific Sea Surface Temperature. Geophys. Res. Lett., 50, 4, . DOI: 10.1029/2022gl101078
Zilberman, N.V. et al., 2023. Scripps Argo Trajectory-Based Velocity Product: Global Estimates of Absolute Velocity Derived from Core, Biogeochemical, and Deep Argo Float Trajectories at Parking Depth. Journal of Atmospheric and Oceanic Technology, 40, 3, 361-374 . DOI: 10.1175/jtech-d-22-0065.1
Ren, A.S. et al., 2025. Seasonal dissolved oxygen gas exchange in the California Current Upwelling System. Progress in Oceanography, 236, , 103473 . DOI: 10.1016/j.pocean.2025.103473
Johnson, G.C. et al., 2022. Serendipitous Internal Wave Signals in Deep Argo Data. Geophys. Res. Lett., 49, 7, . DOI: 10.1029/2022gl097900
Chandler, M. et al., 2024. The Deep Western Boundary Current of the Southwest Pacific Basin: Insights From Deep Argo. JGR Oceans, 129, 10, . DOI: 10.1029/2024jc021098
Lele, R. et al., 2024. Understanding Full‐Depth Steric Sea Level Change in the Southwest Pacific Basin Using Deep Argo. Geophys. Res. Lett., 51, 12, . DOI: 10.1029/2023gl107844
Merrifield, S.T. et al., 2023. Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles. Environ. Sci. Technol., 57, 46, 18162-18171 . DOI: 10.1021/acs.est.3c01256

FUNDING AWARDS

VESSELS

50 RESEARCH CRUISES

10,112

DATA SETS ARCHIVED

61,785

DOWNLOADABLE FILES

23,923,127

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