Database : OMIV - Time series of meteorological parameters on landslides

Not yet issued ! This database will be issued the 1 Nov 2019.
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Collection

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OMIV (2019): OMIV - Time series of meteorological parameters on landslides. OMIV. FR-18008901306731-2019-09-03

General metadata

Identifier : local : FR-18008901306731-2019-09-03
Description :
Meteorological observations acquired on OMIV landslides using a standardized protocol (6min, 15 min, 30 min, 60 min) according to the measured parameters and transfered in a Ascii standardized file format with the file database management system BD-OH OMIV. Estimation of potential evapotranspiration and effective rainfall from the meteorological observations.
Disciplines :
geochemistry & geophysics (sciences of the universe), geology (sciences of the universe), geosciences, multidisciplinary (sciences of the universe), meteorology & atmospheric sciences (sciences of the universe)
Keywords :

Dates :
Data acquisition : from 1 Jan 1992 ongoing
Data provision : 1 Nov 2019
Metadata record :
Creation : 3 Sep 2019
Update : 20 Sep 2019

Update periodicity : daily
Language : English (eng)
Additional information :
P_rain [mm]: Precipitation - Rainfall
Pa [hPa]: Atmospheric Pressure (sea level)
Rh [%]: Relative Air Humidity
Snow_D [m]: Snow Depth
Snow_H [m]: Snow Height
Snow_W [g]: Snow Weight
SW [W.m-2]: Net Radiation - incoming short wave
Ta [°C]: Air Temperature
WD [°]: Wind Direction 2D
WS [m.s-1]: Wind Speed 2D
PET* [mm]: Ptotential Evapotranspiration
Pe* [mm]: Effective Precipitation

(*): Calculated parameters
Audience : University: licence, University: master, Research, Policy maker

Coverages

Spatial coverage :

Time coverage :

Administrative metadata

Data creatorAffiliation
Observatoire Multidisciplinaire des Instabilités de Versant
ContributorsAffiliationRole
Alexandre CarotteCeremadata collector
Benjamin VialOSUGdata collector
Jean-Paul LaurentIGEdata collector
Maurin VidalOSU OCAdata collector
Muriel GeeraertOSU OREMEdata collector
Robert DavidsonLETG - Caendata collector
Romain BessoOSU OCAdata collector
Agnès HelmstetterOSUGproject member
Candide LissakLETG - Caenproject member
Carole DesplanqueONFproject member
Catherine BertrandChrono-environnementproject member
Grégory BièvreOSUGproject member
Jean-Philippe MaletOSU EOSTproject member
Laurent DuboisCeremaproject member
Stéphanie GautierOSU OREMEproject member
Thomas LebourgOSU OCAproject member
Publisher : Observatoire Multidisciplinaire des Instabilités de Versant
Label : Service National d'Observation Observatoire Mutidisciplinaire des Instabilités de Versants
Science contact : Thomas Lebourg e-mail
Computing contact : Maurin Vidal e-mail
Project and funders :
  • SNO OMIV - Meteorology
    • EOST, THETA, OCA, OREME, OSUG (OSU)
    • INSU (CNRS)
    • LETG, IGE, ONF (Another public institution)
Access : restricted
Access details :
To access the data, please contact the scientific data manager.

Technical metadata

Formats : text/tab-separated-values
Data acquisition methods :
  • Observational data :
    Meteorological parameters measured at 1.00 m elevation at the OMIV landslides. For some landslides, several meteorological sites are available. The recorded parameters are, for each site, the rainfall amount, the atmospheric pressure, the air temperature, the relative air humidity, the wind speed and direction, and the net radiation. For some sites, additional parameters such as snow depth is recorded. The recording frequency is variable, from 6 min for the rainfall data, to 15 min or 60 min for the other parameters. Data are stored locally in the dataloggers and then transmitted to the Data Center. Raw data are quality-controlled, converted in an ASCII -txt file format and stored in the OMIV BD-OH data repository for an esay processing by the users.
Datatype : Database

Publications

  • Bertrand C., Marc V., Malet J.-P., Gauthier S., Lebourg T., Nevers P., Lajaunie M., Vallet A., and Gance J. 2019. Long-term hydrological, hydro-chemical and hydro-geophysicalobservations of deep-seated landslides: the OMIV observation strategy for modelling landslide water circulation. Geophysical Research Abstracts, 21. (https://meetingorganizer.copernicus.org/EGU2019/EGU2019-16878.pdf)
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