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  • Version messy_2.54.0p7, release date: 11. April 2019

  • The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al.,2000 and Pope et al.,2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3 (http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ). The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.

  • The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.

  • The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.

  • The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC.

  • This experiment contains forecasts from the LMK (COSMO-DE) high resolution model of DWD (2.8km 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. Therefore, 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, graupel (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, graupel (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 xsize: 135.0 ysize: 118.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 40.0 DDOM: xfirst: -5.882 yfirst: -6.685 xsize: 441.0 ysize: 279.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 40.0

  • The goal of the experiment is to drive FEST, a rainfall-runoff distributed model with continuous soil moisture account, with ensemble forecasts from COSMO-LEPS (CLEPS) and with forecasts from ISACMOL2. The application domain is the Toce-Ticino and Maggia watershed. Hydrograph simulations and alerts are provided for Candoglia (Toce), Solduno (Maggia) and Bellinzona (Ticino). The runs were provided by Politecnico di Milano (PoliMi), Italy.

  • The positions of the meteorological towers (IMKMT1 to IMKMT4) are identical with the positions of the launching sites of the drop-up-sondes (IMKRS1 to IMKRS5). There have been no more than 4 teams operating on each IOP. For detailed information about the sites (including a map) and operating days see supplement pdf-file (cops_rsdu_imk_info_1). The parameters are: air_pressure: measured at about 1.8 m GND by a barometric pressure sensor that has a gill pressure port, 60s mean. air_temperature_at_1.8m: measured at about 1.8 m GND by a HYGROMER meteorology probe MP 400a, 60s mean. relative_humidity_at_1.8m: measured at about 1.8 m GND by a HYGROMER meteorology probe MP 400a, 60s mean. precipitation_amount: measured by a tipping bucket rain gauge (catchment area: 200 cm**2), 60s accumulated. wind_speed_at_4.5m, wind_from_direction_at_4.5m, virtual_temperature_at_4.5m: measured at about 4.5 m by a Young 3-D Sonic Anemometer, 60s mean.

  • Dropsondes (mobile radiosondes) were launched by 5 mobile radiosonde teams. The launching sites were different from IOP to IOP. The positions are identical with the positions of the meteorological towers (imkmt1 to imkmt4). There have been no more than 4 teams operational on each IOP. The dropsondes are radiosonde-like systems. The maximum height is 12050 m above MSL. At this height, the sondes are separated from the balloon and then glide to the ground. Drop points are up to 70 kilometres apart from launching sites. For detailed information about the sites see supplement file and map.

  • The SRNWP-PEPS consists of 21 different operational limited area models: Weather Service / Limited Area Model / Resolution [km] / Coupling Model / Forcast Period / Time Interval [h] / Main Run [UTC] Denmark HIRLAM 16 ECMWF +60h 1 0, 6, 12, 18 Finland HIRLAM 22 ECMWF +54h 1 0, 6, 12, 18 Ireland HIRLAM 16 ECMWF +48h 3 0, 6, 12, 18 Netherlands HIRLAM 22 ECMWF +48h 1 0, 6, 12, 18 Spain HIRLAM 18 ECMWF +48h 1 0, 6, 12, 18 Norway HIRLAM 22 ECMWF +30h 1 0, 12 Sweden I HIRLAM 11 ECMWF +48h 3 0, 6, 12, 18 Sweden II HIRLAM 22 ECMWF +48h 3 0, 6, 12, 18 Belgium ALADIN 15 ARPEGE +60h 1 0, 12 Austria ALADIN_A 9.6 ARPEGE +48h 1 0, 12 France ALADIN_F 11 ARPEGE +48h 3 0, 12 Croatia ALADIN_L 8.9 ARPEGE +48h 3 0, 12 Czech Rep. ALADIN_L 11 ARPEGE +48h 1 0, 12 Hungary ALADIN_L 11 ARPEGE +48h 1 0, 12 Slovakia ALADIN_L 11 ARPEGE +48h 3 0, 12 Slovenia ALADIN_L 9.5 ARPEGE +48h 3 0, 12 United Kingdom UKMO-LAM 12 UM global +48h 3 0, 6, 12, 18 Germany LME 7 GME +78h 1 0, 12 // Germany LME 7 GME +48h 1 6, 18 Switzerland aLMo 7 ECMWF +72h 1 0, 12 Italy EuroLM 7 EuroHRM +60h 3 0, 12 Poland LM 14 GME +72h 3 0, 12 The relation between these models and the numbers of the SRNWP PEPS ensemble is anonymous. The SRNWP-PEPS generates probability forecasts by interpreting the overlapping areas of the single forecasts as members of a local ensemble. Due to the different domains of the deterministic models the size of the ensemble depends on location. Hence the quality of the forecasted probability distributions varies over the PEPS domain. THE PLEV data set could not be provided for PEPS. Grid description: xsize,ysize,xinc, yinc differ for ensemble members (see datasets) CDOM: xfirst: 6.0 yfirst: 47.0 xnpole: 0.0 ynpole: 0.0 DDOM: xfirst: 2.0 yfirst: 43.0 xnpole: 0.0 ynpole: 0.0

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