Presentation is loading. Please wait.

Presentation is loading. Please wait.

Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Global Observing System Stephen English With material kindly provided by Peter.

Similar presentations


Presentation on theme: "Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Global Observing System Stephen English With material kindly provided by Peter."— Presentation transcript:

1 Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Global Observing System Stephen English With material kindly provided by Peter Bauer, Cristina Lupu, Tony McNally, Mohamed Dahoui, Erland Kallen, Enza di Tomaso, Niels Bormann, Sabatino di Michele and Richard Engelen European Centre for Medium-Range Weather Forecasts

2 Slide 2 ECMWF Training Course - The Global Observing System - 06/2013 Role of observations RMS error (m) Time (hours) SEVIRI 6.2 µm Every 12 hours we assimilate ~7,000,000 observations to correct the 100,000,000 variables that define the models virtual atmosphere. We monitor an additional 12,000,000. Observations limit error growth and make forecasting possible….

3 Slide 3 ECMWF Training Course - The Global Observing System - 06/2013 The state space MASS (temperature, pressure…) Radiosondes, surface observations, satellite sounders, aircraft MOISTURE (humidity, clouds, precipitation…) Radiosondes, surface observations, satellite sounders and imagers, aircraft, radar, lidar DYNAMICS (wind, vorticity, convergence…) Radiosondes, surface observations, satellite imagers, satellite scatterometer/radar/lidar, aircraft COMPOSITION (ozone, aerosol…) Ozone sondes, surface observations, satellite sounders SURFACE (surface type, temperature, moisture, homogeneity…) Satellite active and passive systems, surface observations

4 Slide 4 ECMWF Training Course - The Global Observing System - 06/2013 Profilers Radiosonde Synop Ship Aircraft Buoys Moisture Mass Wind Composition Ozone sondes Air quality stations Soil moisture Rain gauge

5 Slide 5 ECMWF Training Course - The Global Observing System - 06/2013 Data sources: Conventional InstrumentParametersHeight SYNOP SHIP METAR temperature, dew-point temperature, wind Land: 2m, ships: 25m BUOYStemperature, pressure, wind2m TEMP TEMPSHIP DROPSONDES temperature, humidity, pressure, wind Profiles PROFILERSwindProfiles Aircraft temperature, pressure wind Profiles Flight level data

6 Slide 6 ECMWF Training Course - The Global Observing System - 06/2013 What types of satellites are used in NWP? AdvantagesDisadvantages GEO- Regional coverage No global coverage by single satellite - Temporal coverage LEO - Global coverage with single satellite

7 Slide 7 ECMWF Training Course - The Global Observing System - 06/2013 Radio occultation Geo IR and Polar MW Imagers Feature tracking in imagery (e.g. cloud track winds), scatterometers and doppler winds Geo IR Sounder Radar and GPS total path delay Polar IR + MW sounders Moisture Mass Wind Composition Ultraviolet sensors Sub-mm, and near IR plus Visible (e.g. Lidar) IR = InfraRed MW = MicroWave

8 Slide 8 ECMWF Training Course - The Global Observing System - 06/2013 Metop

9 Slide 9 ECMWF Training Course - The Global Observing System - 06/2013 Metop

10 Slide 10 ECMWF Training Course - The Global Observing System - 06/2013 Example of conventional data coverage Aircraft – AMDAR (note also have Airep and ACARs) Surface (synop) - ship Buoy Balloon profiles e.g. radiosondes

11 Slide 11 ECMWF Training Course - The Global Observing System - 06/2013 LEO SoundersLEO Imagers ScatterometersGEO imagers Satellite Winds (AMVs) GPS Radio Occultation Example of 6-hourly satellite data coverage 30 March 2012 00 UTC

12 Slide 12 ECMWF Training Course - The Global Observing System - 06/2013

13 Slide 13 ECMWF Training Course - The Global Observing System - 06/2013 Combined impact of all satellite data EUCOS Observing System Experiments (OSEs): 2007 ECMWF forecasting system, winter & summer season, different baseline systems: no satellite data (NOSAT), NOSAT + AMVs, NOSAT + 1 AMSU-A, general impact of satellites, impact of individual systems, all conventional observations. 500 hPa geopotential height anomaly correlation 3/4 day 3 days

14 Slide 14 ECMWF Training Course - The Global Observing System - 06/2013 User requirements and satellite data: OSCAR www.wmo-sat.info Vision for the GOS in 2025 adopted June 2009 GOS user guide WMO-No. 488 (2007) Manual of the GOS WMO- No. 544 (2003) (updated for ET-SAT Geneva April 2012)

15 Slide 15 ECMWF Training Course - The Global Observing System - 06/2013 Using DA to help design the GOS Examples questions we use Data Assimilation techniques to study: Would it be beneficial for the Chinese FY3 program to move to the early morning orbit with the Europeans occupying the morning orbit and the Americans the afternoon orbit? Preparation for future instruments such as lidar and radar (EarthCARE). Study using Ensemble of Data Assimilations to estimate the number of GPSRO soundings needed in future (discuss with Sean Healy if interested).

16 Slide 16 ECMWF Training Course - The Global Observing System - 06/2013 2009 Experiments Enza Di Tomaso * and Niels Bormann MetOp-A NOAA-18 NOAA-19 Aqua NOAA-15 NOAA-16 NOAA-17 TimeTime AM Early AM PM

17 Slide 17 ECMWF Training Course - The Global Observing System - 06/2013 FY3 orbit: what is the optimal orbit configuration? two-satellite experiment * MetOp-A * NOAA-18 NOAA-15 experiment * MetOp-A * NOAA-18 * NOAA-15 NOAA-19 experiment * MetOp-A * NOAA-18 * NOAA-19

18 Slide 18 ECMWF Training Course - The Global Observing System - 06/2013 no-MW sounder experiment GOOD two-, three-,all-satellite experiment GOOD two-satellite RMSE – no-Mw sounder RMSE three-satellite RMSE – no-Mw sounder RMSE all-satellite RMSE – no-Mw sounder RMSE Are 3 satellites better than 2? YES 3.5 months 107 cases CY36R1 T511

19 Slide 19 ECMWF Training Course - The Global Observing System - 06/2013 RMS difference forecast – analysis for NOAA-15 and NOAA-19 experiments NOAA-19 experiment GOOD NOAA-15 experiment GOOD Do orbital positions matter? YES

20 Slide 20 ECMWF Training Course - The Global Observing System - 06/2013 2012 Experiments Tony McNally MetOp-A NOAA-18 NOAA-19 Aqua NPP NOAA-15 NOAA-16 NOAA-17 AM Early AM PM

21 Slide 21 ECMWF Training Course - The Global Observing System - 06/2013 2012 experiments Baseline 1: microwave only (NPP + METOP-A) Baseline 2: microwave + infrared (NPP + METOP-A)

22 Slide 22 ECMWF Training Course - The Global Observing System - 06/2013 NH SH Early am better pm better Microwave only baseline Microwave + infrared baseline 3 months 90 cases CY38R1 T511

23 Slide 23 ECMWF Training Course - The Global Observing System - 06/2013 Observation 15 – 18 -24 – -21 -21 – -18 -18 – -16 -16 – -12 -12 – -9 -9 – -6 -6 – -3 -3 – 0 0 – 3 3 – 6 6 – 9 9 – 12 12 – 15 Model First-Guess Analysis 1D-Var Assimilation of Cloudsat Radar Reflectivities (dBZ) Preparing for future missions e.g. Aeolus and EarthCARE 23

24 Slide 24 ECMWF Training Course - The Global Observing System - 06/2013 Combining NWP with CTM models and data assimilation systems New requirements in GOS for atmospheric composition

25 Slide 25 ECMWF Training Course - The Global Observing System - 06/2013 Monitoring of observations Webpages Automatic warnings Collaboration between users and providers J = ½(y-H(x)) T R -1 (y-H(x)) + J b At beginning and end of minimisation, with and without QC, plus bias corrections.

26 Slide 26 ECMWF Training Course - The Global Observing System - 06/2013 Selected statistics are checked against an expected range. E.g., global mean bias correction for GOES-12 (in blue): Soft limits (mean ± 5 stdev being checked, calculated from past statistics over a period of 20 days, ending 2 days earlier) Hard limits (fixed) Email-alert Data monitoring – automated warnings (M. Dahoui & N. Bormann) http://www.ecmwf.int/products/forecasts/satellite_check/ Email alert:

27 Slide 27 ECMWF Training Course - The Global Observing System - 06/2013 Data monitoring – automated warnings

28 Slide 28 ECMWF Training Course - The Global Observing System - 06/2013 Satellite data monitoring Data monitoring – automated warnings

29 Slide 29 ECMWF Training Course - The Global Observing System - 06/2013 Global Observing System is essential to weather forecasting Technology driven….a more integrated approach now? Mass is well observed. Moisture – satellite observations are data rich but poorly exploited. Radar and lidar will become more important. Dynamics – even wind observations are scarce. Composition – NWP techniques have been successfully extended to environmental analysis and prediction but more observations are needed. Surface – DA for surface fields is being attempted.

30 Slide 30 ECMWF Training Course - The Global Observing System - 06/2013 Thank you for your attention Thanks again to Peter Bauer, Cristina Lupu, Tony McNally, Mohamed Dahoui, Erland Kallen, Enza di Tomaso, Niels Bormann, Sabatino di Michele and Richard Engelen

31 Slide 31 ECMWF Training Course - The Global Observing System - 06/2013 Backup slides Detailed list of instruments for NWP and atmospheric composition (not shown but included for information)

32 Slide 32 ECMWF Training Course - The Global Observing System - 06/2013 Sun-Synchronous Polar Satellites InstrumentEarly morning orbit Morning orbitAfternoon orbit High spectral resolution IR sounder IASIAqua AIRS NPP CrIS Microwave T sounder F16, 17 SSMISMetop AMSU-A FY3A MWTS DMSP F18 SSMIS Meteor-M N1 MTVZA NOAA-15, 18, 19 AMSU-A Aqua AMSU-A FY3B MWTS, NPP ATMS Microwave Q sounder + imagers F16, 17 SSMISMetop MHS DMSP F18 SSMIS FY3A MWHS NOAA-18, 19 MHS FY3B MWHS, NPP ATMS Broadband IR sounder Metop HIRS FY3A IRAS NOAA-19 HIRS FY3B IRAS IR ImagersMetop AVHRR Meteor-M N1 MSU-MR Aqua+Terra MODIS NOAA-15, 16, 18, 19 AVHRR Composition (ozone etc). NOAA-17 SBUVNOAA-18, 19 SBUV ENVISAT GOMOS AURA OMI, MLS ENVISAT SCIAMACHY GOSAT

33 Slide 33 ECMWF Training Course - The Global Observing System - 06/2013 InstrumentHigh inclination (> 60°)Low inclination (<60°) Radio occultation GRAS, GRACE-A, COSMIC, TerraSarX C-NOFS, (SAC-C), ROSA MW ImagersTRMM TMI Meghatropics SAFIRE MADRAS Radar AltimeterENVISAT RA JASON Cryosat Sun-Synchronous Polar Satellites (2) InstrumentEarly morning orbit Morning orbitAfternoon orbit ScatterometerMetop ASCAT Coriolis Windsat Oceansat OSCAT RadarCloudSat LidarCalipso Visible reflectance Parasol L-band imagery SMOS SAC-D/Aquarius Non Sun-Synchronous Observations

34 Slide 34 ECMWF Training Course - The Global Observing System - 06/2013 ProductStatus SEVIRI Clear sky radianceAssimilated SEVIRI All sky radianceBeing tested for overcast radiances, and cloud-free radiances in the ASR dataset SEVIRI total column ozoneMonitored SEVIRI AMVsIR, Vis, WV-cloudy AMVs assimilated GOESAMVs MTSATAMVs Data sources: Geostationary Satellites


Download ppt "Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Global Observing System Stephen English With material kindly provided by Peter."

Similar presentations


Ads by Google