status of amdar implementation in japan
DESCRIPTION
Status of AMDAR Implementation in Japan. Prepared for APSDEU-6 Seoul, Korea, 1 June 2005. , Forecast Department, Japan Meteorological Agency. History of AMDAR in JMA. 1992 ~ : ASDAR collection via GMS and dissemination via GTS. - PowerPoint PPT PresentationTRANSCRIPT
Status of AMDAR Implementation in Japan
, Forecast Department, Japan Meteorological Agency
Prepared for APSDEU-6Seoul, Korea, 1 June 2005
History of AMDAR in JMA
• 1992 ~ : ASDAR collection via GMS and dissemination via GTS.
• mid 1990’s :Started contact with airlines, and many impact studies performed with off-line ACARS data.
• 2002 : Agreement with JAL for experimental on-line use of ACARS.
• 2003 : Agreement with ANA.• Aug 2004 : Started dissemination via GTS in FM42 form.• Mar 2006 : Planned to disseminate in BUFR form.
Available Data
• Coverage: Within the reach of VHF data link mainly in Japan.
• Data collection strategy: - For flight operation of each airline.
- Ascent, descent data are collected by one airline.
- QNH correction <= 14,000ftDES JP9Z4UU5 2620N 12802E 050239 F/// PS090 235/013 TB/ S031333 F100 VG///=
System OverviewData link provider company
Airline company
J MA
GTS
Numerical Analysis and Prediction System
ACARS Met Data receiverACARS Met data processing server
Met data extractionPseud ID conversionCommunication to J MA
Data for flight operation(including Met)
VHF Remote Ground Stations
Data link Computer
Encoding into FM42
Current AMDAR Encoding
ACARS Met. Data Receiver
MSS
MSS
GTS
GTS
ACARS to AMDAR
Conversion
Elimination Filter
Elimination ListElimination List
ACARSData LinkProvider
ACARSData LinkProvider
JMA
NAPS
NAPS
BUFR Encoding (Plan )
GTS
GTS
JMA
QNH
ACARS Met. Data Processor
MSS
ACARSData LinkProvider
ACARSData LinkProvider
Civil AviationBureau
Civil AviationBureau
Height Correction(Height to Pressure Level)
Height Correction(Height to Pressure Level)
BUFR EncoderElimination Filter
BUFR EncoderElimination Filter
METARMETAR
Elimination ListElimination List
DecoderDecoder
NAPS
NAPS
Impact to NWP
Greatest impact to the JMA Mesoscale model (MSM):
-( J-AMDAR coverage / Model domain ) is large.- Hourly data can be fully ingested to 4D-variational analysis.
Data coverage for MSM
- Radar/AMeDAS rain rate is also assimilated into MSM
Diurnal change of data coverage for MSM
DAYDAY
NIGHTNIGHT
00UTC 06UTC
12UTC18UTC
Daily error sequence on upper air wind(FL210 – FL450)
Mesoscale model (00UTC initial), vs ACARS
Start using ACARS
Lines indicate errors averaged over 25days before and after Aug 26.
Dots indicate daily errors
Month/day in 2002
Statistical verification on upper wind forecast
Comparison between Sep-Oct (with ACARS) and Apr-May (w/o ACARS) Mesoscale Model 250hPa wind forecast error vs radiosonde
Error reduction was small for 18UTC initial ( ACARS not available )
0.0
0.2
0.4
0.6
0.8
6 12 18
Forecast hours
Red
uction
of
erro
s (m
/s)
Vaild at 00UTCVaild at 12UTC
indicatesforecast from 18UTC (03 Local time) initial
With ACARS
w/o ACARS
Oct 21, 2002 00UTC initial T=3
MOD CAT
MOD CAT
図3
New product: hourly wind analysis
3D-OI based on Mesoscale modelwith ACARS, Wind profiler, Doppler Radar.
Data monitoring of AMDAR for GSM
13 APR 2005 - 24 MAY 2005
DecodedUsed Rejected
DecodedUsedRejected
CYCLE ANALYSIS
EARLY ANALYSIS
- Used data are about 20% of decoded data due to thinning- Very few data rejected in the assimilation system imply the data quality is excellent
AMDAR as verification data for GSM
MEAN: 0.5K, RMSE: 1.6K for APR 2004MEAN: 0.2K, RMSE: 1.5K for APR 2005
300hPa-150hPa, Cycle Analysis
0
0.02
0.04
0.06
0.08
-10 -5 0 5 10
Temperature difference (K) between AMDAR obs. & firstguess of GSM
Freq
uenc
y APR 2005APR 2004
Better consistency between AMDAR observation and first guess implies improvement of model performance.
Thank you!