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  • 2020-2023  (11,265)
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  • 1
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    Inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 1
    Description: This dataset includes inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814), which took place on R/V Roger Revelle from September to October 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873183
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756415
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
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    Inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 2
    Description: This dataset includes inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815), which was conducted on R/V Roger Revelle from October to November 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873193
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Inert copper and inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 1
    Description: This dataset includes inert copper and inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814), which took place on R/V Roger Revelle from September to October 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873183
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756415
    Keywords: copper ; Iodine ; Pacific Ocean ; photochemistry ; beryllium-7
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 2
    Description: This dataset includes inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815), which was conducted on R/V Roger Revelle from October to November 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873193
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756415
    Keywords: copper ; Iodine ; Pacific Ocean ; photochemistry ; beryllium-7
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Nitrogen isotope ratios (δ15N) in amino acid standards and in four field-collected samples (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-12-30
    Description: Dataset: Nitrogen Isotope Ratios in Amino Acid Standards and Samples
    Description: These data include Nitrogen Isotope Ratios (δ15N) in amino acid standards and in four field-collected samples. Certified δ15N values are either EA-IRMS values (Glutamic acid [Glu], USGS) or produced by the persulfate oxidization method (Phenylalanine [Phe], Knapp et al., 2005) or provided by McCarthy Lab (M-std and Cyano). Mixtures of 16 amino acids were also evaluated. The newly-developed method used here will help promote the use of δ15N-AA in important studies of nitrogen cycling and trophic ecology in a wide range of research areas. The Phe isotopic standards are available to the community for inter-lab method comparisons. These data were collected by PhD student Wingman (Charlotte) Lee and Dr. Lin Zhang (PI ) at the Texas A&M University-Corpus Christi. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884976
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829947, NSF Division of Ocean Sciences (NSF OCE) OCE-1829834
    Keywords: amino acids ; nitrogen isotopes
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Data to accompany “Direct observation of wave-coherent pressure work in the atmospheric boundary layer” (2022)
    Woods Hole Oceanographic Institution
    Details
    Publication Date: 2022-12-30
    Description: As described in the methods section of “Direct Observation of Wave-coherent Pressure Work in the Atmospheric Boundary Layer”: Measurements were made from an open-lattice steel tower deployed in roughly 13 m water depth in Buzzards Bay, MA. Buzzards Bay is a 48 km by 12 km basin open on the SW side to Rhode Island Sound. The average depth is 11 m, with a tide range of 1 to 1.5 m, depending on the neap/spring cycles. Winds in Buzzards Bay are frequently aligned on the long-axis (from the NE or SW), and are commonly strong, particularly in the fall and winter. The tower was deployed near the center of the bay at 41.577638 N, 70.745555 W for a spring deployment lasting from April 12, 2022 to June 13th, 2022. Atmospheric measurements included three primary instrument booms that housed paired sonic anemometers (RM Young 81000RE) and high-resolution pressure sensors (Paros Scientific). The pressure sensor intakes were terminated with static pressure heads, which reduce the dynamic pressure contribution to the measured (static) pressure. The tower booms were aligned at 280 degrees such that the NE and SW winds would be unobstructed by the tower's main body. A fourth sonic anemometer (Gill R3) was extended above the tower such that it was open to all wind directions and clear of wake by the tower structure. A single point lidar (Riegl LD90-3i) was mounted to the highest boom, such that the lidar measured the water surface elevation underneath the anemometer and pressure sensors to within a few centimeters horizontally. All instruments were time synchronized with a custom "miniNode" flux logger, that aggregated the data streams from each instrument. Additional atmospheric and wave measurements on the tower included short-wave and long-wave radiometers (Kipp & Zonen), two RH/T sensors (Vaisala), and a standard lower-resolution barometer (Setra).
    Description: National Science Foundation, Division of Ocean Sciences (OCE) Award 2023020
    Keywords: Air/sea interaction ; Surface waves ; Boundary layers ; Turbulence ; Pressure work
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 7
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    SENTINEL-1 TOPS INTERFEROMETRIC TIME SERIES RESULTS AND VALIDATION (2022)
    Details
    Publication Date: 2022-12-30
    Description: This paper presents results of the Sentinel-1 sensor in the interferometric wide-swath (IW) mode encompassing the first one and a half years of operation of the mission. The paper focuses on persistent scatterer interferometric results and their validation. Further applications and investigations are also addressed, e.g., earthquakes, glaciers, or the exploitation of the overlap areas for the measurement of the along-track motion in the scene.
    Description: IEEE, IEEE/GRSS (Geoscience and Remote Sensing Society), NSSC (National Space Science Center, Chinese Academy of Sciences), Fudan University, RADI, China.
    Description: Published
    Description: Beijing, China
    Description: 5IT. Osservazioni satellitari
    Keywords: InSAR, Sentinel-1, Time Series, Validation ; 04.03. Geodesy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
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  • 8
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    Signature of Tidal Sea Level in Geomagnetic Field Variations at Island Lampedusa (Italy) Observatory (2022)
    MDPI
    Details
    Publication Date: 2022-12-30
    Description: In this work, we analyze the geomagnetic field measurements collected from 2017 to 2020 at the Italian observatories of Lampedusa and Duronia (an island and inland site, respectively) for investigating a possible signature of the tidal sea water level changes on the local magnetic variations. We obtain the following main results: (a) evidence of the geomagnetic power spectral peaks at the solar and lunar tidal main frequencies at both sites is found; (b) by using a robust fit procedure, we find that the geomagnetic field variations at Lampedusa are strongly influenced by the lunar tidal variations in the sea level, while at Duronia, the main effects on the geomagnetic field variations are associated with diurnal solar ionospheric tides; (c) a single-station induction arrows (SSIAs) investigation reveals different behaviors between Lampedusa and Duronia. Specifically, Lampedusa shows that the induction arrows in different frequency ranges point toward different directions with different amplitudes, probably related to the surrounding regions with different water depths, while Duronia shows a persistent coast effect, with the induction arrows pointing toward the Adriatic sea; and (d) a Superposed Epoch Analysis reveals, only for Lampedusa, a close relationship between SSIAs with a frequency of 〉 2 mHz ( 〈 1.3 mHz) and the sea level variations driven by the astronomical O1 tide, indicating an amplitude intensification of ∼ 4 × 10 − 3 ( ∼ 5 × 10 − 3 ) and an azimuthal angle increment of ∼ 3° ( ∼ 9° ), in correspondence to a 1 cm sea level increase.
    Description: Published
    Description: 6203
    Description: 1A. Geomagnetismo e Paleomagnetismo
    Description: JCR Journal
    Keywords: tidal geomagnetic signature ; induction arrows ; geomagnetic coast effect ; geomagnetic observatory ; ULF waves
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 9
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    Supersite "Vesuvius - Campi Flegrei" Biennial Report 2018 (2022)
    Details
    Publication Date: 2022-12-30
    Description: Biennial Report 2018 for the Vesuvius - Campi Flegrei Supersite released for CEOS (Committee on Earth Observation Satellites).
    Description: Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia
    Description: Published
    Description: 2V. Struttura e sistema di alimentazione dei vulcani
    Keywords: InSAR, Satellite data, Monitoring networks ; Supersite "Vesuvius - Campi Flegrei" Biennial Report 2018
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: report
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  • 10
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    Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case (2022)
    Egu-Copernicus
    Details
    Publication Date: 2022-12-28
    Description: Accurate automatic volcanic cloud detection by means of satellite data is a challenging task and is of great concern for both the scientific community and aviation stakeholders due to well-known issues generated by strong eruption events in relation to aviation safety and health impacts. In this context, machine learning techniques applied to satellite data acquired from recent spaceborne sensors have shown promising results in the last few years. This work focuses on the application of a neural-network-based model to Sentinel-3 SLSTR (Sea and Land Surface Temperature Radiometer) daytime products in order to detect volcanic ash plumes generated by the 2019 Raikoke eruption. A classification of meteorological clouds and of other surfaces comprising the scene is also carried out. The neural network has been trained with MODIS (Moderate Resolution Imaging Spectroradiometer) daytime imagery collected during the 2010 Eyjafjallajökull eruption. The similar acquisition channels of SLSTR and MODIS sensors and the comparable latitudes of the eruptions permit an extension of the approach to SLSTR, thereby overcoming the lack in Sentinel-3 products collected in previous mid- to high-latitude eruptions. The results show that the neural network model is able to detect volcanic ash with good accuracy if compared to RGB visual inspection and BTD (brightness temperature difference) procedures. Moreover, the comparison between the ash cloud obtained by the neural network (NN) and a plume mask manually generated for the specific SLSTR images considered shows significant agreement, with an F-measure of around 0.7. Thus, the proposed approach allows for an automatic image classification during eruption events, and it is also considerably faster than time-consuming manual algorithms. Furthermore, the whole image classification indicates the overall reliability of the algorithm, particularly for recognition and discrimination between volcanic clouds and other objects.
    Description: Published
    Description: 7195–7210
    Description: 5V. Processi eruttivi e post-eruttivi
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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