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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 | |||
| https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_01 | https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_01.graph | https://erddap.s4raise.it/erddap/wms/cima_forecast_2_5km_01/request | WRF (Weather Research and Forecasting Model) 2.5 km including 3DVAR assimilation (radar data) (01) | Configuration with 3DVAR variational assimilation with 3 two-way nested domains respectively with spatial resolution 22.5, 7.5 and 2.5 km with 50 vertical levels. The analysis data and boundary conditions (with tri-hourly frequency) are obtained from the GFS model at 0.25 degrees of resolution. This forecast is performed on computing resources at CIMA and is delivered within 3:30 UTC. The assimilation scheme is performed as it follows: WRF-2.5 km is initialized with the GFS model of the 18UTC, whose analysis is integrated, by means of 3DVAR, by CAPPI radar remote sensing data of the Italian Civil Protection Department (ICPD). The WRF model is thus executed for 3 hours until 21UTC, when a second 3DVAR assimilation cycle is applied. Finally, the WRF model is executed until 00UTC when the final assimilation cycle is performed. The simulation is then carried out for a further 48 hours starting from 00UTC in order to have 2 complete days of forecasting.\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)\n... (11 more variables)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_2_5km_01_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_2_5km_01_iso19115.xml | https://erddap.s4raise.it/erddap/info/cima_forecast_2_5km_01/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cima_forecast_2_5km_01.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_2_5km_01&showErrors=false&email= | CIMA | cima_forecast_2_5km_01 |