dphase_lmk: LMK (COSMO-DE) high resolution model forecasts run by DWD for the MAP D-PHASE project

Description

This experiment contains forecasts from the LMK (COSMO-DE) high resolution model of DWD (2.8 km horizontal resoultion and 50 model levels). Model runs are started every 3h at 00, 03, 06, 09, 12, 15, 18 and 21 UTC with a forecast range of + 18h. LMK (COSMO-DE) is an operational forecast model of DWD. So, we adapted the output of the model as close as possible to the Tigge+ list, but there are some differences; see dataset summaries. For a detailed description of the LMK (COSMO-DE) model, please contact the originator of the data. All datasets for COPS in the database have an output frequency of 15 minutes. If the variables are not provided by LMK (COSMO-DE) with an output frequency of 15 minutes then the hourly output has been linearily interpolated in time. LMK (COSMO-DE) provides only a subset of the Tigge+ variables with an output frequency of 15 minutes. These are: Total precipitation (all types) (kg/m * * 2) acc_st 011 002 TPT2 Precipitation: grid @-@ scale only, rain (kg/m * * 2) acc_st 102 201 SURF Precipitation: grid @-@ scale only, snow (kg/m * * 2) acc_st 079 002 SURF Precipitation: grid @-@ scale only, grey fur (kg/m * * 2) acc_st 132 201 SURF Precipitation rate: grid @-@ scale only, rain (kg/s/m * * 2) inst 100 201 SURF Precipitation rate: grid @-@ scale only, snow (kg/s/m * * 2) inst 100 201 SURF Precipitation rate: grid @-@ scale only, grey fur (kg/s/m * * 2) inst 100 201 SURF Total column water vapour (or precipitable water) (kg/m * * 2) inst 054 002 SURF Total column cloud water (or cloud water) (kg/m * * 2) inst 076 002 SURF Total column cloud ice (or cloud ice) (kg/m * * 2) inst 058 002 SURF W @-@ velocity (m/s) inst 040 002 MUVW Grid descitption: CDOM: xfirst: —2.73 yfirst: 2.927 xsise: 135.0 ysise: 118.0 xInc: 0.025 yinc: 0.025 xnpole: —170.0 ynpole: 40.0 DDOM: xfirst: —5.882 yfirst: 6.685 xsise: 441.0 ysise: 279.0 xInc: 0.025 yinc: 0.025 xnpole: —170.0 ynpole: 40.0

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  • model-data
  • regional-model-forecast

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