SN1 2019 - Vector Magnetometer dataset


Instrument: Fluxgate Prototype #1
Investigator: Angelo De Santis (INGV)
Project: EMSO-MIUR
Observatory: NEMO-SN1

Citation: De Santis, Angelo. (2019). Vector Magnetometer dataset (Fluxgate #1 @ 1 sample / 4 sec) from INGV/NEMO-SN1 seafloor platform during EMSO-MIUR project in TestSite site (East Sicily), part of network.

Abstract: This sensor provides the three components of the magnetic induction vector in the directions N-S, E-W and Z (vertical). It is a fluxgate prototype developed at INGV laboratories equipped with an inertial platform for levelling control. It provides continuous seafloor magnetic data which are important for two main reasons: a) they extend the magnetic observations from land to the seafloor, improving the spatial distribution in the Italian territory; b) these data are important for the study of short and long magnetic field time variations. The variational data allow us to estimate the resistivity structure underneath the area of observations and possibly to detect some magnetic variations related to some geo-hazards, such as earthquakes and tsunamis.

Purpose: The main aim is the continuous and almost real-time measurement of the three components of the Earth’s magnetic field in a very peculiar environment which in fact has a favorable impact on the quality of the measurements: first, the temperature is more stable at the sea bottom, especially in deep sea sites, so the instrumental drift due to temperature variations is absent or negligible. Second, the water column acts as a natural "shield" to the highest frequencies of the iono- and magnetosphere inducing fields.

Quality of data:

period October 12, 2019 - on going
coordinates 37.54765 N, 15.3975 E (WGS84)
sampling rate 1 sample / 4 sec
platform type Fixed benthic node
size about 600 MB per year
records count 6,254,854
export formats NetCDF (CF), CSV, JSON
license Creative Commons Attribution 4.0 International License (CC BY 4.0)
dataset progress IN WORK

xml ATOM - DIF - KML - OAI DublinCore - PANGAEA DublinCore - OpenSearch - RDF - SensorML
dissemination GENESI-DEC - NASA GCMD - EMSO Data Portal - ESONET Data Portal - ESONET Sensor
moist identifier moist..testsite.emso-miur.2019.nemo-sn1.vector_magnetometer.72
oai identifier
uuid identifier urn:uuid:8c12344b-4311-11e8-9988-0025b320789e