Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Satellite Global Observing System Stephen English 1.A brief introduction to the.

Slide 1

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

The Satellite Global Observing System

Stephen English

1. A brief introduction to the Satellite GOS2. Monitoring of satellite observations3. OSCAR – WMO’s database for global observations,

user requirements and gap-analysis

Slide 2


What types of satellites are used in NWP?

Advantages Disadvantages

GEO - Regional coverage No global coverage by single satellite

- Temporal coverage

LEO - Global coverage with single satellite

Slide 3


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 andGPS total path delay

PolarIR + MWsounders

MoistureMass

Wind

Composition

Ultraviolet sensors

Sub-mm,and near IR plusVisible (e.g. Lidar)

IR = InfraRedMW = MicroWave

Slide 4


Satellite data used by ECMWF

Slide 5


Slide 6


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

Slide 7


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:

Slide 8


Data monitoring – automated warnings

Slide 9


Satellite data monitoringData monitoring – automated warnings

Slide 10


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.

Slide 11


User requirements http://www.wmo-sat.info/db/

• Vision for the GOS in 2025 adopted June 2009• GOS user guide WMO-No. 488 (2007)• Manual of the GOS WMO-No. 544 (2003) (Update of satellite section being prepared for ET-SAT Geneva April 2012)

Slide 12


Sun-Synchronous Polar SatellitesInstrument Early morning

orbitMorning orbit Afternoon orbit

High spectral resolution IR sounder

IASI Aqua AIRSNPP CrIS

Microwave T sounder

F16, 17 SSMIS Metop AMSU-AFY3A MWTSDMSP F18 SSMISMeteor-M N1 MTVZA

NOAA-15, 18, 19 AMSU-A Aqua AMSU-AFY3B MWTS, NPP ATMS

Microwave Q sounder + imagers

F16, 17 SSMIS Metop MHSDMSP F18 SSMISFY3A MWHS

NOAA-18, 19 MHSFY3B MWHS, NPP ATMS

Broadband IR sounder

Metop HIRSFY3A IRAS

NOAA-19 HIRSFY3B IRAS

IR Imagers Metop AVHRRMeteor-M N1 MSU-MR

Aqua+Terra MODISNOAA-15, 16, 18, 19 AVHRR

Composition(ozone etc).

NOAA-17 SBUV NOAA-18, 19 SBUVENVISAT GOMOSAURA OMI, MLSENVISAT SCIAMACHYGOSAT

Slide 13


Instrument High inclination (> 60°) Low inclination (<60°)

Radio occultation

GRAS, GRACE-A, COSMIC, TerraSarXC-NOFS, (SAC-C), ROSA

MW Imagers TRMM TMIMeghatropics SAFIRE MADRAS

Radar Altimeter ENVISAT RAJASON Cryosat

Sun-Synchronous Polar Satellites (2)Instrument Early morning

orbitMorning orbit Afternoon orbit

Scatterometer Metop ASCATCoriolis Windsat

Oceansat OSCAT

Radar CloudSat

Lidar Calipso

Visible reflectance

Parasol

L-band imagery

SMOSSAC-D/Aquarius

Non Sun-Synchronous Observations

Slide 14


Product Status

SEVIRI Clear sky radiance Assimilated

SEVIRI All sky radiance Being tested for overcast radiances, and cloud-free radiances in the ASR dataset

SEVIRI total column ozone Monitored

SEVIRI AMVs IR, Vis, WV-cloudy AMVs assimilated

GOES AMVs

MTSAT AMVs

Data sources: Geostationary Satellites

Slide 1 ECMWF Training Course - The Global Observing System - 06/2013 The Satellite Global Observing System Stephen English 1.A brief introduction to the.

Documents

ecmwf slide

microwave slide

days slide

ecmwf training course

single satellite slide

global observations

ecmwf forecasting system

gapanalysis slide