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Esposito, Mario; Hopwood, Mark James; Ruan, Yaqing; Achterberg, Eric Pieter (2026): Underway sensors data along southeast Greenland during MARIA S. MERIAN cruise MSM130 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.995667

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Published: 2026-07-04DOI registered: 2026-08-06

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Abstract:
Underway sensors data collected during Maria S. Merian cruise MSM130 ('Polar Beast') in July-August 2024 across the southeast Greenland shelf and three fjord systems. Measurements include ship-specific data, hydrological data and meteorological data downloaded from the Merian DSHIP system at 1 min resolution. An additional sensor suite was immersed into an onboard water tank supplied with seawater from approximately 6.5 m. The suite of sensors included a multiparameter EXO1 Sonde for measurements of temperature, salinity and dissolved oxygen, a VLux AlgaePro fluorometer for chlorophyll a and b, an Opus nitrate sensor, two sensors – SAMI and AquapHOx-L - for colorimetric and optical measurements of pH, respectively and an HydroC sensor for pCO2 measurements. The EXO1 oxygen probe was calibrated prior to the cruise using one-point air saturated water. The temperature offset compared to ship temperature is due to the warming up of the seawater flowing through the pipelines from the seawater inlet to the onboard water tank. Chlorophyll a and b data from Vlux are reported corrected according to manufacturer calibration. Nitrate data from OPUS sensor were processed according to Nehir et al, 2021. An offset of 6 µM was applied based on spectrophotometric measured nitrate concentrations on discrete water samples. pH data from AquapHOx sensor were processed using Pyro WorkBench software. A 3 point calibration was performed prior to deployment using custom-made pH buffer solutions. Details on data processing procedures can be found in Staudinger et al., 2018. Raw absorbance data from SAMI-pH were corrected for sample salinity and converted to pH (total scale) using QC_pH standalone Matlab program. Details on data processing procedures can be found in Liu et al., 2011. Meta-cresol purple (mCP) used in the SAMI sensor was purified according to Liu et al, 2011. Mole fraction CO2 data from the HydroC sensor were processed according to Fietzek et al, 2014 to account for the pressure behind the membrane in the sensor's gas stream and converted to in-situ pCO2 (in µatm) according to Takahashi et al., 1993.
Keyword(s):
fjords; southeast Greenland; Underway measurement
Related to:
Achterberg, Eric Pieter; Hopwood, Mark James; Bogner, Boie; Wilstermann, Carmen; Schreiber, Lennart; Jin, Xuewei; Huang, Xin; Cloete, Ryan; Burmester, Anne; Frankholz, Lisa; Trudonowska, Emilia; Camin, Capucine; Patteri Vijayan, Apsara; Brinkmann, Inda; Esposito, Mario; Zimmermann, Heike Hildegard; Guo, Yuping; Marin Arias, Camila; Stryj, Malte; Streuff, Katharina Teresa; Taenzer, Lukas; Oliver, Hilde (2024): Investigating connectivity between Arctic freshwater outflow, Atlantic biogeochemistry and AMOC, Cruise No. MSM130, July 9 - August 14 2024, Reykjavik (Iceland) - Reykjavik (Iceland). MARIA S. MERIAN-Berichte, Begutachtungspanel Forschungsschiffe, MSM130, 65 pp, https://doi.org/10.48433/cr_msm130
References:
Takahashi, Taro; Ólafsson, Jón; Goddard, J G; Chipman, D W; Sutherland, Stewart C (1993): Seasonal variation of CO2 and nutrient salts over the high latitude oceans: A comparative study. Global Biogeochemical Cycles, 7(4), 843-878, https://doi.org/10.1029/93GB02263
Data processing report:
Fietzek, Peer; Fiedler, Björn; Steinhoff, Tobias; Körtzinger, Arne (2014): In situ Quality Assessment of a Novel Underwater pCO2 Sensor Based on Membrane Equilibration and NDIR Spectrometry. Journal of Atmospheric and Oceanic Technology, 31(1), 181-196, https://doi.org/10.1175/JTECH-D-13-00083.1
Geißler, Felix; Mutzberg, André; Müller, Jens Daniel; Achterberg, Eric Pieter; Borisov, Sergey M; Klimant, I (2018): A versatile optode system for oxygen, carbon dioxide, and pH measurements in seawater with integrated battery and logger. Limnology and Oceanography-Methods, 16(7), 459-473, https://doi.org/10.1002/lom3.10260
Liu, Xuewu; Byrne, Robert H (2011): Purification and Characterization of meta-Cresol Purple for Spectrophotometric Seawater pH Measurements. Environmental Science & Technology, 45(11), 4862-4868, https://doi.org/10.1021/es200665d
Nehir, Münevver; Esposito, Mario; Begler, Christian; Frank, Carsten; Zielinski, Oliver; Achterberg, Eric Pieter (2021): Improved Calibration and Data Processing Procedures of OPUS Optical Sensor for High-Resolution in situ Monitoring of Nitrate in Seawater. Frontiers in Marine Science, 8, 663800, https://doi.org/10.3389/fmars.2021.663800
Coverage:
Median Latitude: 63.888414 * Median Longitude: -38.550057 * South-bound Latitude: 60.277879 * West-bound Longitude: -44.159878 * North-bound Latitude: 66.325978 * East-bound Longitude: -22.396647
Date/Time Start: 2024-07-09T10:15:00 * Date/Time End: 2024-08-13T09:00:00
Minimum DEPTH, water: 6.5 m * Maximum DEPTH, water: 6.5 m
Event(s):
MSM130-track * Latitude Start: 64.154184 * Longitude Start: -21.942117 * Latitude End: 64.154130 * Longitude End: -21.942005 * Date/Time Start: 2024-07-09T06:14:05 * Date/Time End: 2024-08-14T12:21:59 * Campaign: MSM130 (POLAR BEAST) * Basis: Maria S. Merian * Method/Device: Underway cruise track measurements (CT) * Comment: Reykjavik - Reykjavik
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeEsposito, MarioGeocode
2LATITUDELatitudeEsposito, MarioGeocode
3LONGITUDELongitudeEsposito, MarioGeocode
4SpeedSpeedknEsposito, Mariospeed over ground, DSHIP
5CourseCoursedegEsposito, MarioDSHIP
6Temperature, waterTemp°CEsposito, MarioCTD, SEA-BIRD SBE 45DSHIP
7SalinitySalEsposito, MarioCTD, SEA-BIRD SBE 45DSHIP
8Turbidity (Nephelometric turbidity unit)TurbidityNTUEsposito, MarioFluorometer, WET Labs FLNTU, SN 773DSHIP
9Chlorophyll aChl aµg/lEsposito, MarioFluorometer, WET Labs FLNTU, SN 773DSHIP
10Temperature, airTTT°CEsposito, MarioHumidity/temperature transmitter, E+E Elektronik, EE33 [SN: 18289372009467]DSHIP
11Wind speedffm/sEsposito, MarioWind sensor, Lufft, Ventus [SN: 311.1122.0901.065]DSHIP; absolute wind speed
12Wind directiondddegEsposito, MarioWind sensor, Lufft, Ventus [SN: 311.1122.0901.065]DSHIP; absolute wind direction
13ConductivityCondµS/cmEsposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1
14SalinitySalEsposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1
15Temperature, waterTemp°CEsposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1
16DEPTH, waterDepth watermEsposito, MarioGeocode – inlet depth, FS Maria S. Merian
17Sensor depthSensor depthmEsposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1
18Oxygen saturationO2 sat%Esposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1
19Oxygen saturationO2 sat%Esposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1local
20Oxygen, dissolvedDOmg/lEsposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1dissolved oxygen concentration
21Total dissolved solidsTDSmg/lEsposito, MarioMulti-Parameter Water Quality Sonde, YSI EXO1
22Chlorophyll aChl aµg/lEsposito, MarioVlux AlgaePro, Chelsea Technologies
23Chlorophyll bChl bµg/lEsposito, MarioVlux AlgaePro, Chelsea Technologies
24Nitrate[NO3]-µmol/lEsposito, MarioUV process spectrophotometer, TriOS Mess- und Datentechnik GmbH, OPUS [SN: 7138]Nitrate concentration
25Temperature, waterTemp°CEsposito, MariopH Logger (AquapHOx-LX), PyroscienceTemp_pyro
26pHpHEsposito, MariopH Logger (AquapHOx-LX), PyrosciencepH_pyro
27pHpHEsposito, MariopH sensor SAMI-pH, Sunburst Sensors (SAMI-pH)
28Carbon dioxide, partial pressurepCO2µatmEsposito, MarioCarbon dioxide sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CO₂ (HydroC_CO2)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1123793 data points

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