1 / 22

COST-720 Integrated Ground-Based Remote Sensing Stations for Atmospheric Profiling

Remote-sensing field site at Lindenberg Observatory. COST-720 Integrated Ground-Based Remote Sensing Stations for Atmospheric Profiling. Dirk Engelbart (DWD), Wim Monna (KNMI), and John Nash (UKMO). Concept COST-720. Objectives + Structure Campaigns Major Results.

llewis
Download Presentation

COST-720 Integrated Ground-Based Remote Sensing Stations for Atmospheric Profiling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Remote-sensing field site at Lindenberg Observatory COST-720 Integrated Ground-Based Remote Sensing Stations for Atmospheric Profiling Dirk Engelbart (DWD), Wim Monna (KNMI), and John Nash (UKMO) Concept • COST-720 • Objectives + Structure • Campaigns • Major Results

  2. Goals of COST-720 • development of integrated ground-based remote-sensing stations for atmospheric profiling • Assessment of their use for meteorological analysis, forecast, climate research and monitoring • Set-up of networks of integrated profiling stations during dedicated campaigns

  3. Organisation - I WG1, Basic Techniques and Algorithms • Assessment of the state of the art of individual techniques in view of potential for integration • Improvements where necessary and possible • Considered measurement systems: - Microwave and IR Radiometer - water-vapour and Doppler wind Lidar - Wind profiling radar/RASS - Cloud radar - SPC ceilometer - C-Band weather radar.

  4. Organisation - II WG2, Integration • Development / assessment of methods to derive - Temperature profiles - Humidity profiles - Cloud characteristics - boundary-layer characteristics • from integrated remote sensing • for different kinds of users

  5. Field experiments: TUC • Payerne, Switzerland • 15 November, 2003 – 15 February, 2004 • In-situ & ground-based remote-sensing systems Instruments • 1290 MHz wind profiler • 78 GHz cloud radar • radiometers (ASMUWARA, Radiometrics, IR) • radiosondes (3 types) • ceilometer • GPS humidity system • total sky imager • BSRN instruments Goals • Test of basic ground-based T and U profiling systems • Study ability to detect PBL phenomena • Assess automatic cloud detection systems • Provide dataset to study system integration

  6. Field experiments: TUC Results: 10 reviewed papers published in a Special Issue «COST-720 TUC» of Met.Z.: Vol. 15, No. 1, 2006, 97pp. • Intercomparisons found biases in both …. • microwave radiometers • all radiosondes’ humidity • FMCW cloud radar can monitor fog base/top • Radiometer and wind profiler able to monitor: • T and humidity inversions near surface • First integration of Wind Profiler and Microwave Radiometer for humidity profiling

  7. Field experiments: CSIP  CSIP = “Convective Storm Initiation Project” Central-Southern England, June – August 2005 COST-720 and UK Universities • System integration studies for summertime PBL • High-resolution NWP modelling Instruments: • Microwave radiometer • Laser ceilometer • 1290 MHz windprofiler • Chilbolton radar • Radiosondes

  8. Field experiments: CSIP Results • UHF radar can see lids of convective inhibition and resolve structure of convective plumes • Radiometer IWV in good agreement with most GPS sensors at high temporal resolution • Radar refractivity measurements can make humidity changes • Cold Pools behind mesoscale convective systems • Analysis is ongoing... See: • http://www.env.leeds.ac.uk/csip/

  9. Field experiments:Helsinki Testbed Helsinki Testbed (see: Poutiainen paper) • Southern Finland, Finnish MetOffice, August 2005 (start) • = permanent integrated profiling station Provides data & experience for • Mesoscale weather research • Forecast- and dispersion-model development Instruments • Finnish weather observation network • Vaisala WXT510 weather transmitter network (60) • 1.3 GHz windprofiler/RASS • Dual-polarization weather radar

  10. Field experiments: LAUNCH-2005 (see special poster) (29th Aug. – 31st Oct, 2005) • Assessment of new or improved humidity, temperature, andwind profiling systems profiling systems: • Water vapour Lidar systems (Raman Lidar and DIAL) • Doppler wind Lidar vsWPR (ZIE) • inter-comparison of different types of MWP systems • FTIR spectrometer • High-range SPC ceilometer • Assessment of various algorithms, combining different techniques for profiling of cloud parameters (integrated profiling), in particular • LWC profiling • Improved rain rate profiling by radar • Provision of a data set, designed for validation and comparisons between measurements and NWP output, • Provision of a datasetfor OSEs using 3D-/4D-VAR data assimilation for high-resolution WV-profiling systems in regional NWP modelling • 3D-VAR / 4D-VAR MM5/ECMWFsystem of Hohenheim + of L‘Aquila (3D-VAR) • NWP output validation using the FZK-IFU MM5 with amodified integration and advection scheme

  11. LAUNCH-2005: Basic techniques Improvement of microwave profiling (humidity & temperature) Validation  Dec.2004 – Nov.2005: Bias & rms-error of T and U profiles (vs. RS) applying: neural network measurement-based regression (operational regr.) Model-based regression method (training): - may improve profiling performance - allows easy use of MWP at all sites

  12. DWD RAMSES(Raman Lidar for Atmospheric Moisture SEnSing) LAUNCH-2005: Basic techniques Lidar:RAMSES data example:Sep 25/26, 2005 • DWD - RAMSES • automated operation, data acquisition, • & evaluation • at MOL-RAO now 15 months of test • operation • similar fully-autonomous systems are • in test mode at Payerne and Cabauw • commercial network systems below • 150 k€ now available • (COST-720 final workshop)

  13. LAUNCH-2005: Basic techniques Lidar:RAMSES data example:Sep 25/26, 2005

  14. Mean Z-R-relation over 30 hours “Large“ drop mode, 6 hours “Small“ drop mode, 8 hours LAUNCH-2005: Integrated Profiling Rain rates by Weather Radar + Micro-Rain Radar • Z/Rrelation (x-Band Rad.) according to real DSD DSD: • classified in modes • measured by MRR

  15. Raman Lidar DIAL Microwave Radiometer LAUNCH-2005: European domain Cloud Radar / MRR Systems in the domain 14 Lidar systems (WV systems) 8 MWP systems (2 MW radiometer) 3 cloud radars (+1 MRR at Leipzig) 11 MRR (Validation) Ceilometers (Validation)

  16. LAUNCH-2005: Assimilation of WV lidar WV mixing ratio Oct. 26/27, 2005 Observation Height asl / km ECMWF i.s. 4D-Var i.s. i.s. = initial state 00:00 01:00 23:00 02:00 Time UTC

  17. LAUNCH-2005: Assimilation of WV lidar 4D-VAR

  18. LAUNCH-2005: Validation of humidity modeling RAMSES LM Clouds MWP Water-vapour mixing ratio 14.10., 1712 UTC - 15.10., 0511 UTC

  19. Model validation using Integrated profiling Cloud profiling (CloudNet cooperation) Comparison Measurement -Model: (Examp. Chilbolton vs.DWD-LM: Jan – Sep 04) • Freq. of LWCs in clouds • Obvious model deficits • Strong model underestimation of LWC in low clouds

  20. Major Results ofCOST-720 / I (related to operational users) • Basic techniques & algorithms - major improvements in microwave profiling (operationally applicable all-weather technique) • Algorithms for system Integration - combination of MWP and WPR for improved humidity sounding - MWP, cloud radar, lidar, rain-gauge (CloudNet) - weather radar and MRR for improved rain rates from weather radar - MWP, cloud radar + lidar for profiling of cloud characteristics • Proposals for system integration • Wind: compos.profiling using Sodar + WPR • Temperature: RASS + MWP • Humidity: MWP + WPR (WV Lidar for validation & reference) • Clouds: MWP, cloud radar, lidar (+ rain gauge) (see Results-III)(IPT, radar-lidar method or CloudNet retrieval) …..still ongoing evaluations (LAUNCH, CSIP, Helsinki-Testbed)……

  21. Major Results ofCOST-720 / II (related to operational users) • Results for NWP - definition and test of NetCDF data formats for MWP and Lidar humidity profiling - OSEs using WV-Lidar in data assimilation to NWP models  clear impact for high data qualities - validation potential of NWP output (supply of reference quality for wind, temperature, humidity profiles and cloud characteristics) • New system developments related to COST-720: - hardware improvements of MWP systems  enhanced all-weather capabilities - autonomous WV Raman-lidar systems in Lindenberg / in near future also Cabauw(in 2007) and Payerne(early 2007) - commmercial Doppler-wind (100k€) and aerosol/humidity lidar (<150k€) • Network stations for integrated profiling in Europe Lindenberg (GER), Payerne + Bern (CH), Palaiseau (Paris, F), L’Aquila + Rome + Potenza (I), Cabauw (NL), Camborne + Chilbolton (GB), Helsinki (FIN)

  22. Major Results ofCOST-720 / III (related to operational users) Integrated station for NWP validation / cloud profiling: Instruments – Doppler cloud radar (Pulsed or FMCW / 94 or 35 GHz [less attenuation]) – SPC Ceilometer or (real) Lidar – Dual-frequency microwave radiometer (23.8, 36.5 GHz / use ceilometer to help calibrate) – Rain gauge (drop counting rather than tipping bucket) CLOUDNET has realized integration meanwhile:  www.cloudnet.org • 4 remote-sensing sites (currently), 7 models (currently) • already provides yearly/monthly statistics for cloud fraction and IWC / LWC including comparisons betw. observations & models Algorithms (developed and/or assessed during COST-720) – Integrated profiling technique (IPT) – Radar-Lidar approach – CloudNet retrieval (classification)

More Related