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 ABL and.
Download ReportTranscript 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 ABL and.
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 ABL 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 RSS Precip: In-situ, micro rain radar, DOW, polarization and weather radar D-PHASE Model Ensemble: Short COPS statistics: • 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 socalled TIGGE+ table 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 October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 1 COPS Integrated Data Sets MSG 3-channel composite, DWD radar + VERA surface wind and moisture fields. Contact: Fumiko Aoshima, IPM (aoshima@ uni-hohenheim.de) VERA analyses are available for the whole year 2007 October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 2 COPS Integrated Data Sets October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 3 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/0pidata/turner) and Ulrich Löhnert (gop.meteo.unikoeln.de/hatpro/doku.php) - AOT: Dave Turner October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 4 Coordination of COPS Research 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? October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 5 COPS Other Business • 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? October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 6 The New gts-non-gts Joint D-PHASE-COPS (JDC) Data Set • Basis for Uni Vienna VERA analyses (in preparation) • Unique data set for model verification and process studies 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. October 28, 2009 6min/ 1h 1h/3h/6h/ 12h/24h 10min/1h/ 24h 5min/10min/1 5min/30min 10min/12h 1h 3h 1h/3h 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 24h 30min 7 Supersite P Radars + LINET R H DOW S GPS (D/F) V M 120 km range FZ Karlsruhe 20 km range X-Band 120 km range POLDIRAD Mobile teams Further details are found in: COPS Field Report at www.uni-hohenheim.de/spp-iop/documents October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 8 Supersite Weather stations: UK Innsbruck (A) U Vienna (A) (104 stations) Sodar P Soil moisture Turbulence R S H M V October 28, 2009 8th COPS Workshop, 1st Joint COPS-CSIP Workshop, Cambridge, UK 9 Lidars Cloud radars Precip. radars Radiometers Radiosondes Sodars FZK Radar + Op. network POLDIRAD R • CNRS WV Raman lidar • CNRS TRESS = Aerosol Raman Lidar IR 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 S H M • • • • • • • • FZK WTR MICCY (scan.) UV MRR UV radiosondes Ceilometer UV AWS network GFZ GPS receiver FZK soil moisture V • • • • • • • • • • • • 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 • 2 mobile Doppler-On-Wheels • FZK and UBT sodars (entrance of Murg and Kinzig V.) • UF sodar (entrance of Rench V.) • UK sodar (Murg Valley) • 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 FZK • FZK RS station „Burgundische Pforte“ • FZK RS station 10