Deutscher Wetterdienst

Transcription

1 LUAMI Campaign - Fall 2008 Lindenberg campaign for Upper-Air Methods Intercomparison Dirk A.M. Engelbart / F. Immler Introduction Remote MOL/RAO Relation to WMO (GVaP, CIMO) Example of current deficits Objectives Concept Examples Conclusion Remote-sensing field site at Lindenberg Observatory

2 Ground-based remote sensing at Lindenberg Observatory Sound. techniques: Investigation / improvement of active + pass. rem.-sens.methods (Integr. in operation.netw. & projects) Monitoring of the physical.structure of the atmosphere (wind, temp. + humidity / clouds) Data base Lindenberg column Basic forecast information for data for operation + validation of numerical models synoptic forecasts quality improvements of current operational networks Basic information for climate research global programmes global / regional campaigns Reference site Lindenberg sensor validation /-calibration + NWP verification

3 Aerological hardware at Lindenberg Observatory RS systems at MOL 2 WPR/RASS Sodar/RASS LIDAR (since Aug. 2005) Ka-band cloud radar (36 GHz) 1.3 GHz MRR Microwave profiler + MWR EISAR (FTIR) 4 Laser-Ceilometer 2 GPS receiver Systems for validation 4 - radiosondes / day since Oct.2005 descents incl. 2 x 6-sonde tethered-balloon systems (ff,dd,t,q, p, z) Sun- and star-photometer [ 99m tower (dx = 5km) ] Long-term tasks regard. humidity and cloud profiling Internat. reference site for innovat. rem.-sens. systems (WMO-CIMO) LUAMI-2008 Level-1 reference site for GEWE / GVaP (WMO) (Preparation of the) quasi-operational supply of high-precision data for satellite validation (CM-SAF)

4 WMO-GVaP (GEWE) WCRP/GEWE GVaP: General objectives according to GVaP implementation plan (WMO -. 27, Internat.GEWE PublProject Office, 1999) Scientific objectives Quantification and improved understanding of the role of water vapour and its variability, its influence on the radiation budget, and its variability due to human activities, in meteorological, hydrological, and climatological processes by understanding the mechanisms and processes, which are responsible for the above variability of the global WV distribution in all time scales, and by documentation of the WV climatology with respect to its (naturally- / anthropogenically-caused) variability. realized via a global network of calibration and validation sites (GVaP reference stations)

5 WMO-CIMO: OPAG-UA (ET-RST&T) Scientific tasks realized by Review latest developments in the field of remote-sensing technology; Work with ET-UASI ( Radio-Sounding) to design and conduct intercomparisons Evaluate and report on the potential of the Raman water-vapour lidar as an operational upper-air observing system for the troposphere Working with ET-UASI to initiate a series of pilot projects and testbed studies to establish the principles for the optimal mix of sensing systems for improving both, temporal and spatial capabilities for future operat. upper-air networks, noting the need for close collaboration with data assimilation and NWP communities international collaboration & dedicated projects / campaigns

6 Current deficits Example: LWC profiling in water clouds 1. Microwave profiler measurements and pyrometer information applying a neural network approach (Solheim et al., 1998) 2. Modified microwave profiler retrievals of method-1 taking into account CEI data and other plausible assumptions 3. Adiabatic method combining cloud radar, radiometer and ceilometer measurements (Boers et al., 2000) 4. Radar - lidar technique (Russchenberg and Krasnov, 2005) 5. Integrated Profiling Technique (Löhnert et al., 2004) MWP MWP-CEI Adiabatic Radar-Lidar IPT

7 Adiabatic IPT Radar- Lidar MWP-CEI MWP

8 LWC Profiling in water clouds Liquid water path: Mean & STD MWP MWP-Cei Adiab. Radar-Lid. IPT Mean, g/m STD, g/m

9 Objectives of the LUAMI campaign Fall 2008 (10 th Nov. 1 st Dec., 2008) (1) Assessment & inter-comparison of both up-to-date active & passive ground-based remote-sensing systems in view of their potential for supply in operational networks high-quality reference (e.g. for new radiosonde systems) ground-truth e.g. to satellite sensors (water vapour, wind, temperature, LWC, etc.) (2) To demonstrate the capabilities of MWP systems for their use in operational meteorological networks by means of a test network of profilers supplying quality-proven data to a network hub at RAOL (3) To improve the quality of world-wide STD Rasos.. for further reduction of systematic measuring errors to check existing correction methods for known systematic errors (emphasis on WV / humidity & temperature (4) To provide a 3-week reference data set of the central-european atmosphere in late fall by compiling measurements of the WMO-GUAN reference site Lindenberg supplying 6-hour interval data of humidity & temperature profiles for comparison with ground-based & air-/space-borne remote sensing techniques and in-situ sensors

10 (1) Remote-sensing part / Air-borne part Ground-based systems (guest systems underlined) MWP Microwave profiler RAO@Potsdam, IMAA-Potenza, Switzerland?, UK? MWR 2-channel microwave radiometer RAO Lindenberg RLI Water-vapour Raman-Lidar RAMSES RAO Lindenberg LEO PBL Doppler-Wind Lidar Leosphere, France LEO PBL Aerosol-Lidar Leosphere, France CLR 36 Ghz Cloud radar RAO Lindenberg MTK HALO cloud radar (ground-based) METEK, Germany CEI 4 ceilometers (different types) RAO Lindenberg WPR 2 wind profiler-/rass-systems RAO Lindenberg EIS EISAR FT-Infrared spectrometer RAO Lindenberg GPS GPS-receiving system RAO Lindenberg OP Optical near-infrared system (Sun- and starphotometer) RAO Lindenberg DLR FALCON WV-Lidar system DLR-IPA, Oberpfaffenhofen Coordinator: Dr. D. Engelbart (Dirk.Engelbart@dwd.de) further systems welcome (MWP?)

11 (2) in-situ part 4 Reference- / Research radiosonde systems Abbreviation Type / Method Organization / Company FN FN Reference method DWD RA Observatory Lindenberg, Germany SW SRS C34-Frostpoint mirror Meteolabor AG Wetzikon, Switzerland FL FLASH Lyman-Alpha-Hygrom. CAO Moscow, Russia CF CFH Frost-point mirror University Colorado, Boulder/USA 7 8 radiosonde types of the global aerological network Abbreviation Type / Method Organization / Company 92 RS92 Vaisala Oyj, Finland MA MARK IIA SIPPICAN Inc., USA MO MSKS MODEM, France ME RS-01G MEISEI Electric Co. Ltd, Japan GR DIM 97 GRAW Radiosondes GmbH, Germany IM IMS4010 Int. Met. Systems, USA AT ATM NASA, USA Coordinator: Dr. F. Immler (Franz.Immler@dwd.de) additional systems welcome

12 (3) Space-borne systems (foreseen) Champ-system Occultation measurements GFZ Potsdam NOAA 16, 17-systems (AMSU) Microwave radiometer UNI Bremen EUMETSAT-systems (Metop) IR spectrometer EUMETSAT IASI and/or AQUA/TERRA AIRS-profiles Coordinator: Dr. F. H. Berger Further institutions in any of the campaign parts are welcome up to 11 Sept 2007 All data of the campaign will be stored in a local data base for the campaign, accessible to all participants

13 Monday Campaign Schedule a) Microwave profiling network: Nov 10 30, 2008 dt = 10min Data transmission via netcdf (template available) Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Campaign schedule Raso Arrival Opening meeting 1. comparison leisure/spare time Daytime 12:00 UT Nightt. 00:00 UT a) Schedule for radio sounding activities see table! Thursday Friday Saturday System intercomparison by Kurnosenko-Validation-Software (WMO Std.) Sunday Monday Tuesday leisure/spare time Wednesday Thursday Friday Saturday closure meeting Sunday leisure/spare time Dirk.Engelbart@dwd.de COST-WaVaCS Monday / 22 May End of campaign (departure) DWD-RAO

14 Examples: New techniques Comparison of WPR & Wind-Lidar (IfT-Leipzig) LAUNCH-2005: 22. Sept (Ziegendorf)

15 Examples: New techniques Deutscher Wetterdienst Comparison of MWP & FTIR LAUNCH-2005: 22 Sep, 2005

16 Examples Application: Assimilation of Lidar WV data

17 Examples Application: Validation of humidity profiling RAMSES LM Clouds MWP Water-vapour mixing ratio , 1712 UTC , 0511 UTC

18 Examples: System intercomparison LIDAR, MWP, RS Wasserdampf 20.August 2003 / 23h UT Vergleich kalibrierter MARL-Messungen mit Radiosonde + MWP Höhe in m MARL - 22:50h - 23:20h Radiosonde: 22:45h - 23:30h MWP: 23:00h Mischungsverhältnis in g/kg

19 Examples: System intercomparison Macroscop.. Cloud parameters CHM 15k (red. Auflösung) RAMSES (red. resolution)

20 Examples: System intercomparison Cloud boundaries + optic. depth CHM 15k LD-40 Vaisala LD-40 Jenoptik CHM-15k

21 Summary LUAMI designed for up-to-date remote-sensing system intercomparison operational demonstration network for operat. MWP profiling reference radiosonde intercomparison radiosonde intercomparison of types of the global aerolog. network compilation of a reference data set for validation of radiosondes, ground-based & satellite-based remote sensing Schedule Nov 10 Dec 01, 2008 Additional participation is highly welcome until Sep 11, 2008 especially welcome MWP sites for network participation