Data Sets ( see cera-www.dkrz.de/WDCC/ ui /BrowseExperiments.jsp ). Radiation: Energie balance network , AMF, CM-SAF, and Land-SAF retrievals Land- surface exchange : Soil moisture , turbulence , and weather stations - PowerPoint PPT Presentation
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Data Sets (see cera-www.dkrz.de/WDCC/ui/BrowseExperiments.jsp)
Short COPS statistics: 2,700 soundings 11,000 h of lidar operation 10 aircraft with 400 flights hours 10,000 model runs with
50,000,000 model fields and plots (COPS domain)
60TB of data
D-PHASE Model Ensemble:• 6 LAM ensemble forecast systems• 12 deterministic models with convection parameterization• 9 convection permitting deterministic models• Harmonized and extended data set in GRIB1 following the so-called TIGGE+ table
Radiation: Energie balance network, AMF, CM-SAF, and Land-SAF retrievals Land-surface exchange: Soil moisture, turbulence, and weather stationsABL and CI: Active-passive VIS-IR-MW remote sensing synergy, soundings,
Coordination of Research, Combined Data Sets• Information sources:
- COPS Field report (www.uni-hohenheim.de/cops)- COPS Wiki (copswiki.uni-hohenheim.de) • VERA analyses• Retrievals based on AMF data:
- IPT retrievals: Ulrich Löhnert- Cloudnet retrievals: Ewan O‘Connor and Robin Hogan
(www.cloudnet.org/quicklooks/arm-murgtal_products.html#classification)- LWP and PWC: Dave Turner (iop.archive.arm.gov/arm-iop/0pi-data/turner) and Ulrich Löhnert (gop.meteo.uni-
1) For the analyses of COPS IOPs, the full, combined data set should be used including the remote sensing data.This standard is also expected for the QJ pubs.
2) Quicklooks of all remote sensing data are available in the COPS data archive, however, special plots can easily be produced by the PIs. The PIs are happy if they are contacted.
3) For the plot of data overlays, tools are available at IPM. 4) Ensemble modeling studies for specific IOPs should be
coordinated. A nice example is IOP8b. A general standard should be developed how these studies have to be set up. This is actually one the major ideas behind the WWRP IMRE.
5) We need a modeling PI for COPS IOP9c.6) Concentration on other IOPs in the future?
With great thanks to all contribution weather services as well as Manfred Dorninger, Theresa Gorgas (Uni Vienna), Thomas Schwitalla (IPM), Mathias Rotach (Meteo Swiss) for their outstanding effort.
• Basis for Uni Vienna VERA analyses (in preparation)• Unique data set for model