Since 2012, 3 lidars from the Atmospheric Physics Observatory of La Réunion (OPAR) have been performing aerosol profile measurements at the Maïdo observatory site, located at 2160 meters to the west of the island of La Réunion. These profiles are obtained at several wavelengths, 355nm and 532nm, and there are also depolarized channels at 532nm. The data from these 3 lidars are processed in two stages: initially, the data are manually cleaned of disturbed profiles, either by atmospheric effects, such as the passage of clouds, or by electronic effects like noise. They are then summed over the night. This is the L1b level, and the data are available in the Matlab format (.mat). Subsequently, the data are processed to convert from a profile of received photon number to a profile of aerosol extinction and scattering. The methodology used is based on the Klett calculation at one wavelength. This is the L2b level, and the data are available in the NetCDF format (.nc) with the NDACC convention in the choice of variable names. Therefore, the data are distributed across 6 directories, 2 levels of processing for each lidar. The raw data from the instrument (called L0) are in a proprietary format, the Licel format, and are not accessible in open access, only via FTP with restricted access.

The overall objective of the ESPOIRS project is to obtain a better understanding of the variability, statistical properties and formation mechanisms of intense tropical precipitation at regional and local scales. ESPOIRS is thus interested in the entire life cycle of precipitation at several space-time scales. * Through the analysis of the distribution of the large-scale humidity field which drives the formation of precipitation at the regional scale using a GNSS network. * Through the characterization of internal (dynamics, microphysics) and external (interactions with the relief) processes, which drive the formation and life cycle of extreme weather events at the local scale => transportable Polarized Doppler X-band precipitation radar.

The ressource describes the dataset obtained by deploying the GAMIC GMWR-25-DP RADAR in the South of Reunion Island, in Saint Joseph.

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.

Climatological data from the meteo station of Piton Fougeres (alt.1300 m), Reunion Island - Air temperature - Air relative humidity - Soil temperature - Soil humidity - Leaf wetness sensor - Pluviometry - Photosynthetically Active Radiation (PAR)

Piezometer measurements in watershed "Rivière des Pluies", Reunion Island Continuous measures in groundwater: - Level water (systematically) - Temperature (sometimes) - Conductivity (sometimes) Laboratoire Géosciences Réunion – IPGP

WW3 model reanalysis on SWIO (south-western indian ocean) area at 0.5 degree of resolution

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 photo-interpolation on the orthophotos of IGN also called BD ORTHO. BD ORTHO is a component of the RGE®. These are digital color orthophotos supplied in raster format (tiff, ecw, ..). An orthophotography is a digital image that has the same metrics as a map of the same projection for the same elements on the ground. They have been available since 1997 in Réunion with a five-year repeatability. Their spatial resolution increased from 1 m in 1997 to 50 cm in 2003. UMR Espace-Dev