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Le projet a pour objectif d'améliorer le signal de la pluie détectée par les géophones en comparant les données météorologiques d'un disdromètre, d'un pluviomètre et de 3 géophones afin d'extraire des données des sismographes pour mieux comprendre le transport sédimentaire issu du réseau sismologique installé dans la rivière des pluies et la rivière du Mat. Les objectifs sont : 1) déterminer les caractéristiques sismiques de la pluie sur le site de mesures 2) A terme, comprendre le déclenchement des éboulements et glissements liés aux pluies A court terme, ce projet devrait aussi permettre de : 1) comprendre pour un même type de pluie l'influence de sols de rugosités différentes sur les signaux enregistrés par les sismomètres 2) intégrer/contraindre pour un même type de sol l'influence de types de pluies différentes sur les enregistrements des sismomètres 3) déterminuer l'influence des tailles des gouttes et du nombre de gouttes (indications données par le disdromètre) sur le signal sismique
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Meteo station Vantage Pro 2 Recorded parameters: - Wind speed and direction - Pluviometer - Temperature - Humidity (inside shelter) and outside - Barometric pressure Data transmission towards station of acquisition via WiFi. This station is connected on a PC Windows software.
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The ERORUN-STAFOR Observatory Data Management Plan (DMP) is related to the French network of critical zone observatories (OZCAR) located in an insular tropical and volcanic context, integrating a “Tropical Mountain Cloud Forest '' (TMCF). This collaborative observatory is located in the northern part of Réunion island (Indian Ocean) within the watershed of Rivière des Pluies (45.0 km²) which hosts the TMCF of Plaines des Fougères, one of the best preserved natural habitats in Réunion Island. Since 2015, the ERORUN-STAFOR monitoring in collaboration with local partners collected a multidisciplinary dataset with a constant improvement of the instrumentation over time. At the watershed scale and in its vicinity, the ERORUN-STAFOR Observatory includes 10 measurement stations covering the upstream, midstream and downstream part of the watershed. The stations record a total of 48 different variables through continuous (sensors) or periodic (sampling) monitoring. The dataset consists of continuous time series variables related to (i) meteorology, including precipitation, air temperature, relative humidity, wind speed and direction, net radiation, atmospheric pressure, cloud water flux, irradiance, leaf wetness and soil temperature, (ii) hydrology, including water level and temperature, discharge and electrical conductivity of stream, (ii) hydrogeology, including groundwater level, water temperature and electrical conductivity in two piezometers and one groundwater gallery completed by soil moisture measurements under the canopy. The database is completed by periodic time series variables related to (iv) hydrogeochemistry, including field parameters and water analysis results. The periodic sampling survey provides chemical and isotopic compositions of rainfall, groundwater, and stream water at different locations of this watershed. The ERORUN-STAFOR monitoring database extends November 2014 to April 2022 with an acquisition frequency from 10 min to hourly for the sensor variables and from weekly to monthly frequency for the sampling. Despite the frequent maintenance of the monitoring sites, several data gaps exist due to the remote location of some sites and instrument destruction by extreme events such as cyclones. This observatory is a unique research site in an insular volcanic tropical environment offering three windows of observation for the study of critical zone processes through upstream-midstream-downstream measurements sites. This high-resolution database is valuable to assess the response of volcanic tropical watersheds and aquifers at both event and long-term scales (i.e. global change). It will also allow various progress in understanding the significant role of the TMCF in the recharge processes, the hydrogeological conceptual model of volcanic islands, the watershed hydro sedimentary responses to extreme climatic events and their respective evolution under changing climatic conditions.
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This dataset encompasses model outputs generated by the Weather Research and Forecasting (WRF) regional climate model. A high-resolution (~1km) downscaling simulation was performed over two tropical islands, Reunion and Mauritius, situated in the South-West Indian Ocean (SWIO), with initial and boundary conditions provided by the ERA5 reanalysis with a global resolution of 0.25° × 0.25°. The simulation used three nested domains sequentially configured with spatial resolutions of 9, 3, and 1km, respectively, with a downscaling ratio of 3. The physical configurations of this simulation were determined through previous modeling studies and sensitivity tests. The published simulation data currently covers a period of 10 years, starting from 1991 (with the possibility to be extended to 30 years). Over 60 output variables were selected for publication with open access, including those related to the intermittent energy resources (e.g., surface solar radiation and its direct/diffuse components, wind speed/direction at multiple vertical levels, and precipitation, of interest for the run-off-river hydropower), as well as the widely used climatic/meteorological variables (e.g., temperature, pressure, humidity, etc.) at a temporal resolution varying from a day up to 30 minutes. All the data are available through an open-access data server, where an intelligent algorithm is applied to simplify the download process for data users. For the first time, a long-term, high-resolution climate/meteorological dataset covering Reunion and Mauritius has been simulated and published as open-access data, yielding substantial benefits to studies on climate modeling, weather forecasting, and even those related to climate change in the SWIO region. In particular, this dataset will enable a better understanding of the temporal and spatial characteristics of intermittent climate-related energy resources, consequently facilitating their implementation towards a green and low-carbon future.
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The dataset of the first observatory from the French network of critical zone observatories (OZCAR) located in an insular tropical and volcanic context, integrating a “Tropical Montane Cloud Forest”: The ERORUN-STAFOR observatory. This collaborative observatory is located in the northern part of La Réunion island (Indian Ocean) within the watershed of Rivière des Pluies (45.0 km²) which hosts the TMCF of Plaines des Fougères, one of the best preserved natural habitats in La Réunion Island. Since 2015, the ERORUN-STAFOR monitoring in collaboration with local partners collected a multidisciplinary dataset with a constant improvement of the instrumentation over time. At the watershed scale and in its vicinity, the ERORUN-STAFOR observatory includes 10 measurement stations covering the upstream, midstream and downstream part of the watershed. The stations record a total of 48 different variables through continuous (sensors) or periodic (sampling) monitoring. The dataset consists of continuous time series variables related to (i) meteorology, including precipitation, air temperature, relative humidity, wind speed and direction, net radiation, atmospheric pressure, cloud water flux, irradiance, leaf wetness and soil temperature (ii) hydrology, including water level and temperature, discharge and electrical conductivity (EC) of stream, (iii) hydrogeology, including groundwater level, water temperature and EC in two piezometers and one groundwater gallery completed by soil moisture measurements under the canopy. The dataset is completed by periodic time series variables related to (iv) hydrogeochemistry, including field parameters and water analysis results. The periodic sampling survey provides chemical and isotopic compositions of rainfall, groundwater, and stream water at different locations of this watershed. The ERORUN-STAFOR monitoring dataset extends from 2014 to 2022 with an acquisition frequency from 10 min to hourly for the sensor variables and from weekly to monthly frequency for the sampling. Despite the frequent maintenance of the monitoring sites, several data gaps exist due to the remote location of some sites and instrument destruction by cyclones. This observatory is a unique research site in an insular volcanic tropical environment offering three windows of observation for the study of critical zone processes through upstream-midstream-downstream measurements sites. This high-resolution dataset is valuable to assess the response of volcanic tropical watersheds and aquifers at both event and long-term scales (i.e. global change). It will also allow various progress in understanding the significant role of the TMCFs in the recharge processes, the hydrogeological conceptual model of volcanic islands, the watershed hydrosedimentary responses to extreme climatic events and their respective evolution under changing climatic conditions.
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Weekly and monthly physico-chemical water samples of "Rivière des Pluies" watershed, Reunion Island
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ReefTEMPS is a network created by the IRD, initially covering some twenty territories and island states in the South, South-West and West Pacific. ReefTEMPS-OI is the Indian Ocean version. The network uses temperature, pressure, salinity and other coastal observables to monitor climate change and its effects on coral reefs and their resources over the long term. ReefTEMPS is part of the French national federative Research Infrastructure for coastal ocean and seashore observations named IR I-LICO, accredited as a National Observation Service (SNO) by the CNRS-INSU Ocean-Atmosphere Commission. ReefTEMPS is operated by ENTROPIE since 2019. Previously, it was created and led by GOPS (a consortium of research observatories in the South Pacific) during the period 2010-2017, then coordinated by UMR LEGOS in 2018. ReefTEMPS-OI, its Indian Ocean version, is operated by OSU-Réunion since 2020.
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The coastline or shoreline is the geographical boundary between sea and land. It corresponds according to the SHOM to "the leash of the highest seas in the context of an astronomical tide of coefficient 120 and under normal weather conditions (without overcost phenomenon). The coastline as defined above is not directly identifiable continuously on the ground or on a satellite or aerial image. From a perspective of studying the displacement of the shoreline, indicators allow us to approach this notion (the vegetation limit associated with the infrastructure limit, the beach limit, etc.). On the reef shoreline of Reunion Island the limit of vegetation and infrastructure as well as beach limit were retained. This limit results in the production of a line-type vector geographic information layer in a GIS resulting from the photo-interpolation on Pléiades satellite images. Pleiades satellite images from the Kalideos Réunion database (CNES) have been used since 2016 to study the position of the shoreline annually. Launched in 2011, Pléiades is a very high spatial resolution spatial image system (panchromatic optical instrument at 70 cm and 2.8 m multispectral) operating in the visible and near infrared with a swath of 20 km UMR Espace-Dev
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The station is managed by the Observatoire de la Zone Critique de la Réunion (OZC-R) from Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion, Université de La Réunion). This is a forest station located at 1285m asl in the Reunion National Park. Rainwater is monthly collected (PALMEX rain collector) for δ18O and δ2H water isotopes analysis from 2016. Analyses are carried out at the Institut de Physique du Globe in Paris (PARI analytical platform) and within the IR-OZCAR network. The major ions rainfall composition is also studied. The station also measures several meteorological variables outside the canopy (precipitation, atmospheric pressure, temperature, relative humidity, global and photosynthetically active radiation) but also humidity linked to clouds and fog, as well as ground temperature.
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WW3 model reanalysis on SWIO (south-western indian ocean) area at 0.5 degree of resolution
Geosur