Type of resources
Available actions
Topics
INSPIRE themes
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
status
Scale
-
Le radar BASTA est un radar nuage (95GHz) dédié à l’étude des nuages et du brouillard. Le radar mesure l’énergie rétrodiffusée par les hydrométéores, cette énergie peut donc être reliée à la quantité d’eau contenue dans le nuage (liquide et glace). Il fonctionne en routine quotidiennement sur le site de l’observatoire du Maïdo, sur l'Ile de La Réunion. Le radar BASTA Réunion a été calibré au LATMOS avant son installation à la Réunion. Ce jeu de données est au format niveau L0. Paramètre principal: Profil vertical de réflectivité radar, mesure du décalage Doppler. Contexte de la mesure: observation routine.
-
The ressource describes the dataset obtained by deploying the GAMIC GMWR-25-DP RADAR in the South of Reunion Island, in Saint Joseph.
-
Le radar mini-BASTA est un radar nuage (95GHz) dédié à l’étude des nuages et du brouillard. Le radar mesure l’énergie rétrodiffusée par les hydrométéores, cette énergie peut donc être reliée à la quantité d’eau contenue dans le nuage (liquide et glace). Il fonctionne en routine quotidiennement sur le site de l’observatoire du Maïdo, sur l'Ile de La Réunion. Ce jeu de données est au niveau L0, et les données sont non calibrées. Paramètre principal: Profil vertical de réflectivité radar, mesure du décalage Doppler. Contexte de la mesure: observation routine.
-
Honga Tonga Aerosols measurments from lidars at Maïdo observatory, Reunion Island (21.08°S, 55.38°E)
To do
-
The ressource describes the dataset obtained by deploying the GAMIC GMWR-25-DP RADAR in Toamasina (Tamatave) in Madagascar.
-
Elevational Transect on the East side of the Piton des Neiges. Implementation of small permanents plots every 200 m of height between 350 m and 2950 m. Differents biotics and abiotics parameters are observed on plots: - Climatic variables (T, RH) - Physico-chemical analyses of grounds - Vegetation and arthropods inventories...
-
This dataset provides the processed CFH water vapor radiosoundings performed for 5 consecutive nights at the Maïdo Observatory (21.08°S, 55.38°E) on Réunion Island during the period 20-25 January 2022 following the eruption of the Hunga Tonga volcano on 15 January. Réunion Island is in the Southwest Indian Ocean and holds one of the very few atmospheric observatories in the subtropical Southern Hemisphere.
-
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.
-
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.
-
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.