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Representation of low clouds/stratus in Aladin/AUT: Ongoing work and Outlook.

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Presentation on theme: "Representation of low clouds/stratus in Aladin/AUT: Ongoing work and Outlook."— Presentation transcript:

1 Representation of low clouds/stratus in Aladin/AUT: Ongoing work and Outlook

2 Initial conditions for Aladin/AUT improved by INCA (ongoing work, preliminary results) Extended INCA system: FOG assimilation via MSGE, re-analysis via SK-scheme (visionary) Role of soil moisture/ structure of soil moisture fields (ongoing sensitivity experiments, prelim. results) Implementation of prognostic liquid water within Aladin/AUT (Lopez scheme) LAMEPS (Aladin/AUT) for Stratus cases 1.Breeding of analysis errors 2.Multi physics approach Participation in 3D intercomparison experiments within COST 722

3 INCA Integrated Nowcasting through Comprehensive Analysis (Thomas Haiden et al.) originally designed as a tool for forecasters providing improved NWP products in the nowcasting range (0-2h) further developed and tested as an improved assimilation system in order to provide better initial fields for Aladin/AUT (only INCA domain)

4 Algorithmic Synthesis from all available Data sources Hourly and every 15 minutes updated forecast fields HR Analysis- and Forecast fields Dt=1h (15min), Dx=1km Observation network (TAWES) Radar- and Satellite Data HR Orography INCA Model Forecasts INCA – Basic Concept

5 INCA GEOMETRY Horizontal Grid Lambert-Projection 1x1 km 601x351 grid points Vertical Grid Z-coordinate initiating at valley ground Equidistant Layers DZ=200m 20 Layers 2-D Analysis and Forecast Precipitation, Cloudiness 3-D Analysis and Forecast Temperature, Moisture, Wind 600 km 350 km Valley ground Topography

6 3)3D-Interpolation of Temperature Differences Horizontal: Weighting in Distance Vertical: Distance Weighting expressed in potential temperature INCA Temperature Analysis 1)Interpolation of ALADIN-Temperature Forecast onto HR grid (implying special treatment for Alpine valleys) 2)Computing Differences between Observation and Model at locations of stations (~140 observing stations, height ranging between ~120 and ~3400m)

7 Aladin/AUT (left hand side) and INCA (right hand side) Orography INCA

8 Providing very high resolved metorological fields INCA Wind Analysis (zoomed area) 20040929 06 UTC INCA precipitation rate analysis (zoomed) 20040809, 17 UTC

9 Preliminary experiments with Aladin/AUT initialized through INCA rather than reference scheme)

10 Role of soil moisture/ structure of soil moisture fields on fog formation and clearance, resp.

11 Pseudo sounding for Wolfsegg, Upper Austria: Aladin/AUT reference integration (left) and another run with saturated initial soil moisture conditions, both 15 hours lead time

12 Implementation of prognostic liquid water within Aladin/AUT (Lopez scheme) 1.Current moist physics problems with too much drizzle from model stratus 2.Lopez scheme + prognostic liquid water scheme => chance to reduce this effect LAMEPS (Aladin/AUT) for Stratus cases 1.Breeding of analysis errors 2.Multi physics approach

13 Participation in 3D intercomparison experiments within COST 722 1.Aspects of Data Assimilation (boundary layer structure 2.Aspects of Physical Parameterization (Diffusion, Microphysics) 3.Feedback mechanisms (role of SK sub- inversion scheme) 4.???


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