Database : OMIV - Time series of meteorological parameters on landslides

RightsAttribution, Non Commercial, Share Alike


Observatoire Multidisciplinaire des Instabilités de Versant (2012): OMIV - Time series of meteorological parameters on landslides. Observatoire Multidisciplinaire des Instabilités de Versant. doi:10.25666/DATAOSU-2019-09-03

General metadata

Identifier : local : FR-18008901306731-2019-09-03 external : doi:10.25666/DATAOSU-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 1991 ongoing
Data provision : 1 Jan 2012
Metadata record :
Creation : 3 Sep 2019
Update : 26 Nov 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


Spatial coverage :

Time coverage :

Administrative metadata

Data creatorAffiliation
Observatoire Multidisciplinaire des Instabilités de Versant (FRA)
Alexandre CarotteCerema (FRA)data collector
Benjamin VialOSUG (FRA)data collector
Jean-Paul LaurentIGE (FRA)data collector
Maurin VidalOSU OCA (FRA)data collector
Muriel GeeraertOSU OREME (FRA)data collector
Robert DavidsonLETG - Caen (FRA)data collector
Romain BessoOSU OCA (FRA)data collector
Agnès HelmstetterOSUG (FRA)project member
Candide LissakLETG - Caen (FRA)project member
Carole DesplanqueONF (FRA)project member
Catherine BertrandChrono-environnement (FRA)project member
Grégory BièvreOSUG (FRA)project member
Jean-Philippe MaletOSU EOST (FRA)project member
Laurent DuboisCerema (FRA)project member
Stéphanie GautierOSU OREME (FRA)project member
Thomas LebourgOSU OCA (FRA)project 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
    • INSU (CNRS)
    • LETG, IGE, ONF (Another public institution)
Access : available

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


  • 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. (
Terms of use