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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_01 | https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_01.graph | https://erddap.s4raise.it/erddap/wms/cima_forecast_1_5km_01/request | WRF (Weather Research and Forecasting Model) 1.5 km (01) | WRF-1.5km OL: Open loop configuration (without data assimilation) with 3 two-way nested domains respectively having spatial resolution 13.5, 4.5 and 1.5 km with 50 vertical levels. The analysis and boundary data (hourly frequency) data are obtained from the Global Forecasting System (GFS) model at 0.25 degrees of resolution. One run per day (00 UTC) is made with the GFS data with a forecast time horizon of 48 hours to have 2 full days of forecasting (hourly time resolution). This forecast is performed on computing resources at CINECA (about 1600 cores) and is delivered to within 7:00 UTC.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nQ2 (kg kg-1)\nT2 (K)\nTH2 (K)\nPSFC (Pa)\nU10 (Eastward Wind Component, m s-1)\nV10 (Northward Wind Component, m s-1)\nLPI (m^2 s-2)\nACSNOW (kg m-2)\nRAINC (mm)\nRAINNC (mm)\nSNOWNC (mm)\nGRAUPELNC (mm)\nHAILNC (mm)\nSWDOWN (W m-2)\nSWDOWNC (W m-2)\nPBLH (m)\nHFX (W m-2)\nQFX (kg m-2 s-1)\nLH (W m-2)\nWSPD10MAX (WSPD10 MAX, m s-1)\nW_UP_MAX (m s-1)\n... (10 more variables)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_1_5km_01_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_1_5km_01_iso19115.xml | https://erddap.s4raise.it/erddap/info/cima_forecast_1_5km_01/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cima_forecast_1_5km_01.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_1_5km_01&showErrors=false&email= | CIMA | cima_forecast_1_5km_01 |