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  • 2015-2019  (67)
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  • 1
    Publication Date: 2023-10-28
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD 101; CTD 102; CTD 105; CTD 107; CTD 108; CTD 109; CTD 110; CTD 116; CTD 117; CTD 123; CTD 124; CTD 125; CTD 126; CTD 127; CTD 128; CTD 129; CTD 13; CTD 132; CTD 133; CTD 135; CTD 136; CTD 138; CTD 139; CTD 14; CTD 143; CTD 144; CTD 151; CTD 152; CTD 23; CTD 24; CTD 29; CTD 30; CTD 34; CTD 35; CTD 36; CTD 37; CTD 4; CTD 41; CTD 5; CTD 51; CTD 52; CTD 56; CTD 57; CTD 61; CTD 62; CTD 66; CTD 67; CTD 71; CTD 72; CTD-RO; DATE/TIME; DEPTH, water; Event label; Identification; LATITUDE; LONGITUDE; M90; M90_1555-1; M90_1555-2; M90_1563-1; M90_1563-2; M90_1572-1; M90_1572-2; M90_1577-1; M90_1577-2; M90_1581-1; M90_1581-2; M90_1582-1; M90_1583-1; M90_1586-1; M90_1596-1; M90_1596-2; M90_1600-1; M90_1600-2; M90_1604-1; M90_1604-2; M90_1608-1; M90_1608-2; M90_1612-1; M90_1612-2; M90_1639-1; M90_1639-2; M90_1642-1; M90_1644-1; M90_1645-1; M90_1646-1; M90_1646-2; M90_1652-1; M90_1652-2; M90_1657-1; M90_1658-1; M90_1659-1; M90_1659-2; M90_1660-1; M90_1661-1; M90_1661-2; M90_1664-1; M90_1664-2; M90_1666-1; M90_1666-2; M90_1668-1; M90_1668-2; M90_1672-1; M90_1673-1; M90_1679-1; M90_1679-2; Meteor (1986); Nitrous oxide, dissolved; Sample code/label; SFB754
    Type: Dataset
    Format: text/tab-separated-values, 4752 data points
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2023-10-28
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD001; CTD002; CTD003; CTD004; CTD005; CTD006; CTD008; CTD009; CTD010; CTD011; CTD012; CTD013; CTD014; CTD015; CTD016; CTD017; CTD018; CTD019; CTD020; CTD021; CTD022; CTD023; CTD024; CTD025; CTD026; CTD027; CTD028; CTD029; CTD030; CTD031; CTD032; CTD033; CTD034; CTD035; CTD036; CTD037; CTD038; CTD039; CTD040; CTD041; CTD042; CTD043; CTD044; CTD045; CTD046; CTD047; CTD048; CTD049; CTD050; CTD051; CTD052; CTD053; CTD054; CTD055; CTD056; CTD057; CTD058; CTD059; CTD060; CTD061; CTD062; CTD063-64; CTD065; CTD066; CTD067; CTD068; CTD069; CTD070; CTD071; CTD072; CTD073; CTD074; CTD075; CTD076; CTD077; CTD078; CTD079; CTD080; CTD081; CTD082; CTD083; CTD086; CTD087; CTD088; CTD089; CTD090; CTD091; CTD092; CTD093; CTD094; CTD095; CTD096; CTD097; CTD098; CTD101; CTD102; CTD103; CTD104; CTD105; CTD107; CTD109; CTD110; CTD111; CTD112; CTD113; CTD114; CTD115; CTD116; CTD117; CTD118; CTD119; CTD120; CTD121; CTD122; CTD123; CTD124; CTD125; CTD131; CTD132; CTD133; CTD134; CTD136; CTD137; CTD138; CTD139; CTD140; CTD141; CTD142; CTD143; CTD144; CTD145; CTD146; CTD147; CTD148; CTD149; CTD150; CTD151; CTD153; CTD154; CTD155; CTD156; CTD157; CTD158; CTD159; CTD160; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M93; M93_290-1; M93_291-1; M93_292-1; M93_293-1; M93_295-1; M93_295-3; M93_298-1; M93_299-1; M93_300-1; M93_301-1; M93_302-1; M93_303-2; M93_304-1; M93_305-1; M93_306-1; M93_307-1; M93_308-1; M93_309-1; M93_310-1; M93_311-1; M93_312-1; M93_313-1; M93_314-1; M93_315-1; M93_316-1; M93_317-1; M93_318-2; M93_318-4; M93_318-6; M93_319-1; M93_320-1; M93_321-1; M93_322-1; M93_323-1; M93_324-1; M93_325-1; M93_326-1; M93_327-1; M93_328-1; M93_329-1; M93_330-1; M93_331-1; M93_332-1; M93_334-1; M93_335-1; M93_336-1; M93_337-1; M93_338-1; M93_339-1; M93_340-1; M93_341-1; M93_342-1; M93_343-1; M93_344-1; M93_345-1; M93_346-1; M93_347-2; M93_347-4; M93_347-6; M93_349-3; M93_350-1; M93_351-1; M93_354-1; M93_356-1; M93_357-1; M93_358-1; M93_359-2; M93_360-1; M93_361-2; M93_363-1; M93_364-1; M93_365-1; M93_366-1; M93_367-1; M93_368-1; M93_368-3; M93_369-1; M93_369-4; M93_376-2; M93_378-2; M93_380-3; M93_384-1; M93_384-2; M93_385-1; M93_386-1; M93_387-1; M93_388-1; M93_389-1; M93_390-1; M93_391-2; M93_391-5; M93_392-1; M93_393-1; M93_394-1; M93_399-5; M93_399-7; M93_404-1; M93_405-1; M93_406-1; M93_408-1; M93_411-2; M93_411-7; M93_411-9; M93_412-1; M93_413-1; M93_414-1; M93_415-1; M93_416-1; M93_417-1; M93_418-1; M93_419-1; M93_420-1; M93_421-1; M93_422-1; M93_423-1; M93_424-1; M93_425-1; M93_433-1; M93_434-1; M93_435-1; M93_436-1; M93_439-1; M93_441-3; M93_441-4; M93_441-5; M93_447-1; M93_448-1; M93_448-5; M93_456-1; M93_457-1; M93_458-1; M93_459-1; M93_460-1; M93_460-2; M93_461-1; M93_462-1; M93_463-1; M93_463-7; M93_465-1; M93_466-1; M93_467-1; M93_468-1; M93_469-1; M93_471-1; M93_471-2; Meteor (1986); Nitrous oxide; Oxygen; Salinity; SFB754; South Pacific Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 10354 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-01-20
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CT; DATE/TIME; Fugacity of carbon dioxide (air, 100% humidity); Fugacity of carbon dioxide in seawater; LATITUDE; LONGITUDE; M93; M93-track; Meteor (1986); Salinity; SFB754; Southeast Pacific; Temperature, water; Underway cruise track measurements; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 6454 data points
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Arévalo-Martínez, Damian L; Kock, Annette; Löscher, Carolin R; Schmitz, Ruth A; Bange, Hermann Werner (2015): Massive nitrous oxide emissions from the tropical South Pacific Ocean. Nature Geoscience, 8(7), 530-533, https://doi.org/10.1038/ngeo2469
    Publication Date: 2024-02-01
    Description: Nitrous oxide is a potent greenhouse gas and a key compound in stratospheric ozone depletion. In the ocean, nitrous oxide is produced at intermediate depths through nitrification and denitrification, in particular at low oxygen concentrations. Although a third of natural emissions of nitrous oxide to the atmosphere originate from the ocean, considerable uncertainties in the distribution and magnitude of the emissions still exist. Here we present high-resolution surface measurements and vertical profiles of nitrous oxide that include the highest reported nitrous oxide concentrations in marine surface waters, suggesting that there is a hotspot of nitrous oxide emissions in high-productivity upwelling ecosystems along the Peruvian coast. We estimate that off Peru, the extremely high nitrous oxide supersaturations we observed drive a massive efflux of 0.2–0.9 Tg of nitrogen emitted as nitrous oxide per year, equivalent to 5–22% of previous estimates of global marine nitrous oxide emissions. Nutrient and gene abundance data suggest that coupled nitrification–denitrification in the upper oxygen minimum zone and transport of resulting nitrous oxide to the surface by upwelling lead to the high nitrous oxide concentrations. Our estimate of nitrous oxide emissions from the Peruvian coast surpasses values from similar, highly productive areas.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CT; M90; M90-track; Meteor (1986); SFB754; SOPRAN; Southeast Pacific; Surface Ocean Processes in the Anthropocene; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Limitation Availability
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  • 5
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    PANGAEA
    In:  Supplement to: Fischer, Tim; Kock, Annette; Arévalo-Martínez, Damian L; Dengler, Marcus; Brandt, Peter; Bange, Hermann Werner (2019): Gas exchange estimates in the Peruvian upwelling regime biased by multi-day near-surface stratification. Biogeosciences, 16(11), 2307-2328, https://doi.org/10.5194/bg-16-2307-2019
    Publication Date: 2024-02-01
    Description: The coastal upwelling regime off Peru in December 2012 showed considerable vertical concentration gradients of dissolved nitrous oxide (N2O) across the top few meters of the ocean. The gradients were predominantly downward, i.e., concentrations decreased toward the surface. Ignoring these gradients causes a systematic error in regionally integrated gas exchange estimates, when using observed concentrations at several meters below the surface as input for bulk flux parameterizations – as is routinely practiced. Here we propose that multi-day near-surface stratification events are responsible for the observed near-surface N2O gradients, and that the gradients induce the strongest bias in gas exchange estimates at winds of about 3 to 6 m s−1. Glider hydrographic time series reveal that events of multi-day near-surface stratification are a common feature in the study region. In the same way as shorter events of near-surface stratification (e.g., the diurnal warm layer cycle), they preferentially exist under calm to moderate wind conditions, suppress turbulent mixing, and thus lead to isolation of the top layer from the waters below (surface trapping). Our observational data in combination with a simple gas-transfer model of the surface trapping mechanism show that multi-day near-surface stratification can produce near-surface N2O gradients comparable to observations. They further indicate that N2O gradients created by diurnal or shorter stratification cycles are weaker and do not substantially impact bulk emission estimates. Quantitatively, we estimate that the integrated bias for the entire Peruvian upwelling region in December 2012 represents an overestimation of the total N2O emission by about a third, if concentrations at 5 or 10 m depth are used as surrogate for bulk water N2O concentration. Locally, gradients exist which would lead to emission rates overestimated by a factor of two or more. As the Peruvian upwelling region is an N2O source of global importance, and other strong N2O source regions could tend to develop multi-day near-surface stratification as well, the bias resulting from multi-day near-surface stratification may also impact global oceanic N2O emission estimates.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754; SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 6
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    PANGAEA
    In:  Supplement to: Korth, Frederike; Kock, Annette; Arévalo-Martínez, Damian L; Bange, Hermann Werner (2019): Hydroxylamine as a Potential Indicator of Nitrification in the Open Ocean. Geophysical Research Letters, 46(4), 2158-2166, https://doi.org/10.1029/2018GL080466
    Publication Date: 2024-02-01
    Description: Hydroxylamine (NH 2 OH), a short-lived intermediate in the nitrogen cycle, is a potential precursor of nitrous oxide (N 2 O) in the ocean. However, measurements of NH 2 OH in the ocean are sparse. Here we present a data set of depth profiles of NH 2 OH from the equatorial Atlantic Ocean and the eastern tropical South Pacific and compare it to N 2 O, nitrate, and nitrite profiles under varying oxygen conditions. The presence of NH 2 OH in surface waters points toward surface nitrification in the upper 100 m. Overall, we found a ratio of 1:3 between NH 2 OH and N 2 O in open ocean areas when oxygen concentrations were 〉50 μmol/L. In the equatorial Atlantic Ocean and the open ocean eastern tropical South Pacific, where nitrification is the dominant N 2 O production pathway, stepwise multiple regressions demonstrated that N 2 O, NH 2 OH, and nitrate concentrations were highly correlated, suggesting that NH 2 OH is a potential indicator for nitrification.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754; SOPRAN; Surface Ocean Processes in the Anthropocene; water column
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 7
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    PANGAEA
    In:  Supplement to: Arévalo-Martínez, Damian L; Steinhoff, T; Brandt, Peter; Körtzinger, Arne; Lamont, Tarron; Rehder, Gregor; Bange, Hermann Werner (2019): N2O Emissions From the Northern Benguela Upwelling System. Geophysical Research Letters, 46(6), 3317-3326, https://doi.org/10.1029/2018GL081648
    Publication Date: 2024-02-02
    Description: The Benguela Upwelling System (BUS) is the most productive of all eastern boundary upwelling ecosystems and it hosts a well-developed oxygen minimum zone. As such, the BUS is a potential hotspot for production of N2O, a potent greenhouse gas derived from microbially driven decay of sinking organic matter. Yet, the extent at which near-surface waters emit N2O to the atmosphere in the BUS is highly uncertain. Here we present the first high-resolution surface measurements of N2O across the northern part of the BUS (nBUS).We found strong gradients with a threefold increase in N2O concentrations near the coast as compared with open ocean waters. Our observations show enhanced sea-to-air fluxes of N2O (up to 1.67 nmol m−2 s−1) in association with local upwelling cells. Based on our data we suggest that the nBUS can account for 13% of the total coastal upwelling source of N2O to the atmosphere
    Keywords: Atlantic Ocean; CT; INGOS; Integrated non-CO2 Greenhouse gas Observing System; M98; M98-track; Meteor (1986); RACE SACUS; SACUS/SACUS-II; SOPRAN; Southwest African Coastal Upwelling System and Benguela Niños; Surface Ocean Processes in the Anthropocene; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-02-02
    Description: The Benguela Upwelling System (BUS) is the most productive of all eastern boundary upwelling ecosystems and it hosts a well-developed oxygen minimum zone. As such, the BUS is a potential hotspot for production of N2O, a potent greenhouse gas derived from microbially driven decay of sinking organic matter. Yet, the extent at which near-surface waters emit N2O to the atmosphere in the BUS is highly uncertain. Here we present the first high-resolution surface measurements of N2O across the northern part of the BUS (nBUS).We found strong gradients with a threefold increase in N2O concentrations near the coast as compared with open ocean waters. Our observations show enhanced sea-to-air fluxes of N2O (up to 1.67 nmol m−2 s−1) in association with local upwelling cells. Based on our data we suggest that the nBUS can account for 13% of the total coastal upwelling source of N2O to the atmosphere
    Keywords: ALTITUDE; BARO; Barometer; CT; DATE/TIME; Gas chromatography (unfiltered); LATITUDE; LONGITUDE; M99; M99-track; Meteor (1986); Nitrous oxide, dissolved; Nitrous oxide, dry-air mole fraction; Pressure, atmospheric; SOPRAN; Southeast Atlantic; Surface Ocean Processes in the Anthropocene; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 1331 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-02-02
    Description: The Benguela Upwelling System (BUS) is the most productive of all eastern boundary upwelling ecosystems and it hosts a well-developed oxygen minimum zone. As such, the BUS is a potential hotspot for production of N2O, a potent greenhouse gas derived from microbially driven decay of sinking organic matter. Yet, the extent at which near-surface waters emit N2O to the atmosphere in the BUS is highly uncertain. Here we present the first high-resolution surface measurements of N2O across the northern part of the BUS (nBUS).We found strong gradients with a threefold increase in N2O concentrations near the coast as compared with open ocean waters. Our observations show enhanced sea-to-air fluxes of N2O (up to 1.67 nmol m−2 s−1) in association with local upwelling cells. Based on our data we suggest that the nBUS can account for 13% of the total coastal upwelling source of N2O to the atmosphere
    Keywords: Benguela Upwelling; CT; DATE/TIME; DEPTH, water; Gas chromatography (unfiltered); LATITUDE; LONGITUDE; M100/1; M100/1-track; Meteor (1986); Nitrous oxide, dissolved; Nitrous oxide, dry-air mole fraction; Sea surface salinity; Sea surface temperature; SOPRAN; Surface Ocean Processes in the Anthropocene; Temperature at equilibration; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 105590 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-02-02
    Description: The Benguela Upwelling System (BUS) is the most productive of all eastern boundary upwelling ecosystems and it hosts a well-developed oxygen minimum zone. As such, the BUS is a potential hotspot for production of N2O, a potent greenhouse gas derived from microbially driven decay of sinking organic matter. Yet, the extent at which near-surface waters emit N2O to the atmosphere in the BUS is highly uncertain. Here we present the first high-resolution surface measurements of N2O across the northern part of the BUS (nBUS).We found strong gradients with a threefold increase in N2O concentrations near the coast as compared with open ocean waters. Our observations show enhanced sea-to-air fluxes of N2O (up to 1.67 nmol m−2 s−1) in association with local upwelling cells. Based on our data we suggest that the nBUS can account for 13% of the total coastal upwelling source of N2O to the atmosphere
    Keywords: CT; DATE/TIME; DEPTH, water; Gas chromatography (unfiltered); LATITUDE; LONGITUDE; M99; M99-track; Meteor (1986); Nitrous oxide, dissolved; Nitrous oxide, dry-air mole fraction; Sea surface salinity; Sea surface temperature; SOPRAN; Southeast Atlantic; Surface Ocean Processes in the Anthropocene; Temperature at equilibration; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 92358 data points
    Location Call Number Limitation Availability
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