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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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1October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
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,
GPS network, MSG Rapid Scan Service (RSS)ACM: In-situ, AERI-MWR-lidar-radar synergy, MSG RSSPrecip: In-situ, micro rain radar, DOW, polarization and weather radar
2October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
MSG 3-channel composite, DWD radar + VERA surface wind and moisture fields.
Contact:Fumiko Aoshima, IPM([email protected])
COPS Integrated Data Sets
VERA analyses are available for the whole year 2007
3October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
COPS Integrated Data Sets
4October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
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-
koeln.de/hatpro/doku.php)- AOT: Dave Turner
5October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
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?
Coordination of COPS Research
6October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
• More infos about the WWRP IMRE:www.wmo.int/pages/prog/arep/wwrp/new/wwrp_new_en.html
• COPS/CSIP discussion, future field campaign (link to climate?)• Next COPS Workshop, September 2010• Other issues?
COPS Other Business
7October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
6min/1h
1h/3h/6h/12h/24h
24h
10min/12h
5min/10min/15min/30min
3h
1h
30min
10min/1h/24h
1h/3h
The New gts-non-gts Joint D-PHASE-COPS
(JDC) Data Set
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
verification and process studies
8October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
Supersite
Further details are found in: COPS Field Report at www.uni-hohenheim.de/spp-iop/documents
V
R H
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SP
Radars + LINET
DOW
GPS (D/F)
Mobile teams120 km range
POLDIRAD
120 km rangeFZ Karlsruhe20 km range
X-Band
9October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK
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S
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Supersite
Weather stations:
UK
Innsbruck (A)
U Vienna (A)(104 stations)
Sodar
Soil moisture
Turbulence
9
10
• UHOH WV DIAL (scanning)• UHOH RR lidar (scanning)• FZK WindTracer (scanning)• FZK cloud radar (45° scan)• UHOH X-Band (vertical) • UHH MRR• TU Delft TARA• UK radiosondes • CNR MW radiometer (scan.)• UK aerosol in-situ analysis• GFZ GPS receiver• FZK soil moisture
• FZK WTR• MICCY (scan.)• UV MRR• UV radiosondes• Ceilometer• UV AWS network• GFZ GPS receiver• FZK soil moisture
• FZK and UBT sodars (entrance of Murg and Kinzig V.)• UF sodar (entrance of Rench V.)• UK sodar (Murg Valley)
• FZK RS station
„Burgundische Pforte“
• CNRS WV Raman lidar• CNRS TRESS =
Aerosol Raman LidarIR radiometer, sun ph.,
aerosol analysis• LaMP X-band (scanning)• LaMP K-band (vertical)• MF radiosondes• MF surf. flux stations (3)• MF soil moisture • MF UHF prof., sodar• GPS receiver
• UNIBAS Raman lidar • UK Doppler lidar• UK wind profiler• UK MWR• UHH cloud radar• UK radiosondes • UK sodar• UHH MRR• GFZ GPS receiver• FZK soil moisture
• FZK RS station
FZK
• AMF:RS, MWR, AERI, RWP, WACR,aerosol in-situ analysis• Micropulse Lidar• IfT MWL• IfT WILI• HATPRO• 90/150 GHz• ADMIRARI (scanning) • UHH MRR• GFZ GPS receiver• FZK soil moisture
Cloud radarsPrecip. radarsRadiometersRadiosondesSodars
HR S
V
M
POLDIRADPOLDIRAD
• 2 mobile Doppler-On-Wheels
FZK Radar + Op. network
Lidars