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 Report

Transcript 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