COMPARISON AND VALIDATION OF DAILY METEOROLOGICAL DATA FROM ERA5 RIANALYSIS WITH OBSERVATIONAL SURFACE DATA, FOR THE EMILIA-ROMAGNA REGION

The European Center for Weather Forecasts ECMWF operates within the European Copernicus project for the dissemination of meteorological, environmental and satellite data. In the present work are compared the hourly data of the ERA5 reanalysis, recently produced by ECMWF and made available through the Copernicus Climate Service, with surface observational meteorological data from ARPAE and DISTAL databases. The comparison was made for the 2008-2018 period, using data from the stations of Cadriano (DISTAL), Martorano, San Pancrazio, San Pietro Capofiume and Rimini Urbana (ARPAE). The hourly data, extracted from ERA5 database, refer to: 2m air temperature, 10m horizontal and vertical wind components, 2m dew point temperature, surface net solar radiation and global solar radiation. From these data the 2m daily wind speed, Dew point temperature, 2m daily minimum and maximum temperature were deducted. The data extracted from ARPAE database are: 2m minimum and maximum daily temperature, 2m dew point temperature, daily net radiation, hourly global radiation and daily mean wind speed at 10m. From these data, daily global radiation and 2m wind speed at 2m were calculated. Grid values are compared with local observation using the nearest grid point method. The final aim of this work is the elaboration of climate indices for the Emilia-Romagna region for agro-meteorological purposes, starting from the ERA5 data

GIS, mechanistic modelling and ontology: a performing mix for precision and sustainable viticulture.

10 pagesInternational audiencePrecision viticulture has been developing very rapidly in the last two decades. Operational systemscommonly use GIS, spatial interpolation, modelling, real time geolocalization, remote sensing and more recently,drone technology. Whereas precision viticulture is all about high space and time resolution of either measurements,analysis, diagnostics or decision support, few operational systems are built in an integrative way, combining manytechniques and data sources. Within the European VINTAGE project, hourly time step climate data measurements,topography-based spatial interpolation, mechanistic soil, plant and disease models, remote sensing information anda decision support system are integrated within a GIS server to provide an operational tool for sustainable vineyardmanagement for the grapegrower. The current study presents the overall system framework and first examples ofmodel validation