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ANNUAL WWW TECHNICAL PROGRESS REPORT ON THE GDPS

COUNTRY: Australia
CENTRE: NMOC Melbourne
January 2000

1.     SUMMMARY OF HIGHLIGHTS:

Meteorological, Oceanographic and Computer Systems:

Ongoing throughout 1999: Testing and making systems Y2000 compliant.

17 June: More weight given to mean sea level pressure PAOBS in GASP.

27 July: Australian region Limited Area Prediction System (LAPS) upgraded to 0.3750 in the horizontal and 29 levels in the vertical.

3 August: Assimilation of ERS-2 altimeter significant wave height data into seastate system.

22 September: Tropical region Limited Area Prediction System (TLAPS) upgraded to 0.3750 in the horizontal and 29 levels in the vertical.

16 November: Replacement of the SE and SW MESO_LAPS by a single domain MESO_LAPS_PT125 system (0.1250 in the horizontal and 29 levels in the vertical).

25 November: Introduction of the 7-day Model Output Forecast (MOF) using GASP.

7 December: Introduction of TCLAPS for tropical cyclone prediction, featuring a relocatable domain.

2.     EQUIPMENT IN USE AT CENTRE:

The National Meteorological Operations Centre (NMOC) Melbourne's computing backbone is provided by 11 Hewlett-Packard 9000 series Unix servers, a NEC supercomputer and a Cray J90. Currently, 7 of the servers have 2 cpus and the remaining 4 have a single cpu. All run under HP-UX B.10.20.B with clock speeds of 100 Mhz and up to 1536MB of RAM. Disc storage of approximately 780 GB is associated with the servers. The NEC SX-4 supercomputer - which is shared equally with CSIRO - has a configuration of 32 processors, 8 GB of Main Memory, 16 GB of Extended Memory and 600 GB of disc, and runs under the SUPER-UX Unix 9.1 Rev 1 SX-4 Operating System. A Cray J90 (4 processors, Unicos 10.0.0.6, 128 MW memory, 64.0 GB), is also available for development work. Real time scheduling is currently carried out on one of the HP Unix servers. A FDDI link provides the operational connections between the Unix servers, the NEC and the Cray. A 1TB StorageTek Mass Store 4400 ACS (Automatic Cartridge System) provides the archive facility for ReelLibrarian, and 2 StorageTek 9710 Library Storage Modules (with a 34TB capacity) using 12 DLT, ie Digital Linear Tape, units provides the facility for Sam-fs. Peripheral equipment includes HP Design Jet 650C plotters, HP LaserJet 5 SiMX laser printers and an HP Deskjet 1600CM coloured printer. There are a number of LANs which provide access to internal users. A PC-based digital facsimile system (DIFACS) is used for product dissemination nationally.

Basically, the main numerically intensive analysis and forecast components of the NWP systems run on the NEC SX-4, while the less intensive tasks (for eg message recognition and decoding, data base ingestion and extraction, post-processing, display, etc.) tend to be carried out on the HP computers.

2.1     Software in use at Centre:

The overall computer environment in the NMOC is mainly Unix. A real-time data base, currently using ORACLE 7.3.3.4.0, is used for storage of observational data and grids from the various NWP systems. The U.S. Navy's Environmental Operational Nowcasting System (NEONS) software is commonly used for accessing the data base. The operational NWP models are written mainly in Fortran, with many of the associated files having the NetCDF structure. Most displays are produced using the NCAR graphics package and IDL. The CIM CAD package is used in the production of significant weather prognoses. Sam-fs and ReelLibrarian systems are currently being used for magnetic cartridge archives in the NMOC.

2.1     Peripheral Systems in use at Centre:

The DIFACS system is used to to disseminate a selection of basic analysis and prognostic charts, and some satellite imagery, to the Bureau's regional offices and some outside users. MCIDAS is used for comprehensive interaction and display of satellite imagery and products, observational and gridded data and is also a major component of the Australian Integrated Forecast System (AIFS). Products from the NWP systems are written to internal and external (www.bom.gov.au) web servers. Magnetic cartridge archives are kept of various NWP products with Australian region analyses available back to 1970 and Southern Hemisphere analyses back to 1972. Hard copy and microfilm archives of charts also exist. An aviation system, which interacts with the WAFS data, is used to view and display the data and prepare the various flight and route forecasts. Regular statistics (including S1 skill scores, root mean square errors and anomaly correlations) monitoring and comparing the performance of the NMOC's NWP systems (and also some overseas NWP models) are also produced.

3.     DATA AND PRODUCTS FROM GTS IN USE:

The following table gives a list of the major report types used in the NMOC Melbourne:

Report Type Description
AAXX SYNOP
BBXX SHIP
PPAA,PPBB,PPCC,PPDD PILOT
QQAA,QQBB,QQCC,QQDD SHIP PILOT
EEAA,EEBB,EECC,EEDD MOBILE PILOT
TTAA,TTBB,TTCC,TTDD TEMP
UUAA,UUBB,UUCC,UUDD SHIP TEMP
IIAA,IIBB,IICC,IIDD MOBILE TEMP
JJXX BATHY
ZZYY BUOY
ARP,AIREP,AMDAR AIREP,AMDAR
VVAA,VVCC SATEM
YYXX SATOB
GRIB UK,US,JAPAN
BUFR US

The following table gives approximate numbers of reports being received for a 24 hour period:

SYNOPS 32000
PILOTS 800
TEMPS 1200
SHIPS 2500
BUOYS 8000
AIREPS,AMDARS 17000
SAT.WINDS 200000
SATEMS 28000
BUFR ENCODED 120 KM TOVS 55000

4.     DATA INPUT STREAM:

Automated. (Some manual intervention is available for correction of reports.) The observational data, along with NWP gridded data, is stored in a real-time relational data base system (ORACLE/NEONS).

5.     QUALITY CONTROL SYSTEM:

Validity checks are currently confined to within the respective assimilation or analysis schemes. Some gross checking outside these schemes may eventually be installed.

6.     MONITORING OF THE OBSERVING SYSTEM:

Monitoring of the observing system is carried out. The quantity of data available is monitored in real-time to ensure that reports are being received reliably and are made available to the operational systems, both automatic and manual. For the global system, statistics on the difference between observations and the first guess and analysis fields are routinely prepared to identify any problems with either the analysis system or individual data types. Lists of rejected data are also used to identify unreliable reporting from particular observing platforms.

7.     FORECASTING SYSTEM:

There are three major operational analysis and forecast systems (viz. the global GASP, regional LAPS and the tropical TLAPS) in the NMOC Melbourne. A mesoscale version of LAPS, called MESO_LAPS, provides additional high resolution forecast products over a domain somewhat smaller than LAPS. The domains for each of these systems are shown in the figure below. The regional and tropical systems are dependent on the global system for their lateral boundary conditions, whereas MESO_LAPS is nested in LAPS. An additional system, called TCLAPS, is run whenever a tropical cyclone is present in the region. Manual

 

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Domains of the operational NWP systems in NMOC Melbourne.

intervention is used for mean sea level pressure in both the global and regional systems. The resulting hemispheric "pseudo-observations" for mean sea level pressure are disseminated on the GTS. The tropical and Australian region limited area systems use bogus moisture data derived from GMS satellite imagery together with a tropical cyclone bogus scheme. An additional feature of the tropical system is its dynamical nudging. Output from the global system is also used in the cold start procedure for the Australian region and tropical systems. It is noted that MESO_LAPS system does not have its own separate analysis associated with it but uses initial (and boundary) conditions derived directly from LAPS.

 

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Schematic representation of the operational analysis and prediction system in NMOC.

The global, Australian region and mesoscale streams have associated sea-state systems. There are a large number of other parts to the basic scheme. These include systems for sea surface temperature analysis, environmental emergency response, generation of weather elements from model output (MOF), amendment and dissemination of aviation products, MCIDAS, archives, verification, display and dissemination of products. A schematic representation of the overall system is shown in the figure above.

7.1     SYSTEM RUN SCHEDULE:

At the present time, the centre produces major analyses at 00 and 12 UTC daily for the globe, Australian region and a tropical domain. Global forecasts out to 8 days, Australian region and tropical forecasts out to 48 hours, and mesoscale forecasts out to 36 hours, are produced off these major analyses. The ECMWF's Supervisor Monitor Scheduler is used to initiate and monitor the various tasks in the operational NWP suite. An approximate daily schedule for the main NWP systems is shown in the table (with the times during the daylight saving months, November to March, shown in brackets):

SYSTEM AND BASE DATE/TIME APPROXIMATE START TIME FORECAST AVAILABILITY
LAPS 12UTC 1400 (1300)UTC 1430 (1330)UTC
MESO_LAPS 12UTC 1430 (1330)UTC 1550 (1450)UTC
TLAPS 12UTC 1645 (1545)UTC 1730 (1630)UTC
GASP 12UTC 1800 (1700)UTC 1945 (1845)UTC
LAPS 18UTC 2315 (2215)UTC 0015 (2315)UTC
LAPS 00UTC 0200 (0100)UTC 0230 (0130)UTC
MESO_LAPS 00UTC 0230 (0130)UTC 0350 (0250)UTC
TLAPS 00UTC 0445 (0345)UTC 0530 (0430)UTC
GASP 00UTC 0600 (0500)UTC 0745 (0645)UTC
LAPS 06UTC 1115 (1015)UTC 1215 (1115)UTC

 

7.2     MEDIUM-RANGE FORECASTING SYSTEM (4-10 DAYS):

The acronym GASP is given to the Global ASimilation and Prognosis system. Post-processed products from this system are disseminated on the GTS in GRIB form, nationally through "DIFACS" and MCIDAS, and also via Radio-facsimile broadcasts (AXI and AXM).

7.2.1     DATA ASSIMILATION, OBJECTIVE ANALYSIS AND INITIALIZATION:

Assimilated data: Mean sea level pressure (surface network, ships, drifting buoys), thickness (radiosondes, satellite retrievals), moisture (dew points, satellite precipitable water), wind (rawinsonde, aircraft, geostationary satellites, constant level balloons).
Assimilation cycle, including cut-off time: 6 hourly cycling. H+6 cut-off.
Method of analysis: Multivariate statistical interpolation + univariate O.I. for moisture.
Analysed variables: Geopotential, wind, moisture.
First guess: 6 hour forecast from previous cycle.
Coverage: Global.
Horizontal resolution: Triangular 239.
Vertical resolution: 29 sigma levels (0.991, 0.975, 0.950, 0.925, 0.900, 0.875, 0.850, 0.800, 0.750, 0.700, 0.633, 0.566, 0.500, 0.433, 0.366, 0.320, 0.290, 0.260, 0.230,
0.200, 0.170, 0.140, 0.110, 0.090, 0.070, 0.050, 0.030, 0.020, 0.010)
Initialization: Incremental non-linear normal mode.

7.2.2     MODEL:

Basic equations: Spectral primitive equations.
Independent variables: latitude,longitude,s,t
Dependent variables: log p*,T,q,vorticity,divergence.
Numerical technique:
horizontal: Spectral.
vertical: Finite difference.
time: Semi-implicit semi-Lagrangian.
Integration domain (in horizontal and vertical): Global, surface to 10hpa (approx.).
Horizontal and vertical resolution, time step: Triangular 239, 29 sigma levels, 600 sec.(approx.).
Orography, gravity wave drag: Both included.
Horizontal diffusion: Included.
Vertical diffusion: Included.
Planetary boundary layer: Included.
Treatment of sea surface, earth surface and soil: Included.
Radiation: Diurnal cycle, diagnostic clouds, interactive optical properties.
Convection (deep and shallow): Included.
Atmospheric moisture: Included.
Boundaries: Stand alone.

7.2.3 NUMERICAL WEATHER PREDICTION PRODUCTS:

The following post-processed fields are available from GASP:

Mean sea level pressure Surface pressure
Surface temperature Geopotential height
Temperature Mixing ratio
Topography Zonal velocity
Meridional velocity Vorticity
Divergence Stream function
Velocity potential Vertical velocity
Radiative tendency Temperature Tendency
Mixing ratio tendency Vorticity surface flux tendency
Divergence surface flux tendency Zonal stress
Meridional stress Sensible heat flux
Latent heat flux Solar heating tendency
Precipitation Soil moisture (over land)
Evaporation (over ocean) Albedo
Snow Net downward radiation at surface
Sub-surface temperature Roughness length at surface
High level cloud Middle level cloud
Low level cloud Earth albedo
Outgoing longwave radiation Net solar radiation

 

7.2.4     OPERATIONAL TECHNIQUES FOR APPLICATION OF NWP PRODUCTS:

The 10 m wind field from GASP is used to drive a global sea-state model.

7.3     SHORT-RANGE FORECASTING SYSTEM (0-72 HRS):

The Australian region Limited Area Prediction System (LAPS), the Tropical Limited Area Prediction System (TLAPS) and the Mesoscale Limited Area Prediction System (MESO_LAPS) provide forecasting guidance and products that are disseminated nationally through "DIFACS" and MCIDAS and also via Radio-facsimile broadcasts (AXI and AXM). TLAPS and TCLAPS, for specific tropical cyclone guidance, are run on behalf of RSMC Darwin. Again it is noted that, at present, MESO_LAPS does not have its own assimilation, or analysis, but uses an initial starting condition derived directly from LAPS. It is also noted that TCLAPS runs in 2 basic parts. The first preparatory part produces analyses and prognoses over a large domain, or what is called the Large Scale Environment (LSE), and the second part then generates analyses and forecasts at a higher resolution on a relocatable domain centred on the tropical cyclone (and nested within the LSE part).

7.3.1     DATA ASSIMILATION, OBJECTIVE ANALYSIS AND INITIALIZATION:

Assimilated data: Surface synop, ship, drifting buoy, radiosonde, rawinsonde, GTS TOVS, locally processed TOVS, GTS and locally derived GMS cloud drift winds, aircraft single level winds, bogus MSLP ("pseudo-observations"), synthetic GMS moisture data, tropical cyclone bogus data.
Assimilation cycle, including cut-off time: 6 hourly cycling; cut-off: LAPS: H+2 hr, TLAPS: H+4 hr.
Method of analysis: Multivariate statistical interpolation + univariate statistical interpolation for moisture.
Analysed variables: Geopotential, wind, moisture.
First guess: 6 hour forecast from previous cycle.
Coverage: LAPS: 17.1250N-65.00S, 65.00E-184.6250E TLAPS: 44.250N-45.00S, 70.00E-188.250E
TCLAPS: 19.250S-55.00S, 75.00E-159.750E (LSE), 27.00x27.00 (Relocatable)
Horizontal resolution: LAPS and TLAPS: 0.3750
TCLAPS: 0.750 (LSE) and 0.150 (Relocatable)
Vertical resolution: LAPS, TLAPS, MESO_LAPS: 29 sigma levels (0.9988, 0.9974, 0.9943, 0.9875, 0.9750, 0.9625, 0.9500, 0.9250, 0.9000, 0.8750, 0.8500, 0.8000, 0.7500, 0.7000, 0.6000, 0.5000, 0.4500, 0.4000, 0.3500, 0.3000, 0.2750, 0.2500, 0.2250, 0.2000, 0.1750, 0.1500, 0.1000, 0.0700, 0.0500)
TCLAPS: 19 sigma levels (0.9910, 0.9750, 0.9500, 0.9000, 0.8500, 0.8000, 0.7500, 0.7000, 0.6000, 0.5000, 0.4000, 0.3500, 0.3000, 0.2500, 0.2000, 0.1500, 0.1000, 0.0700, 0.0500)
Initialization: LAPS and MESO_LAPS: Digital filtering technique.
TLAPS and TCLAPS: diabatic dynamical nudging scheme incorporating GMS IR imagery.

7.3.2 MODEL:

Basic equations: Grid primitive equations.
Independent variables: x,y,z,t
Dependent variables: P*,T,q,u,v.
Numerical technique:
horizontal: Finite difference.
vertical: Finite difference.
time: Semi-implicit.
Integration domain (in horizontal and vertical):
LAPS:17.1250N-65.00S, 65.00E-184.6250E, surface to 50 hpa (approx.)
TLAPS: 44.250N-45.00S, 70.00E-188.250E, surface to 50 hpa (approx.)
MESO_LAPS:4.8750S-55.00S, 95.00E-169.8750E, surface to 50 hpa (approx.)
TCLAPS: 19.250S-55.00S, 75.00E-159.750E (LSE), 27.00x27.00 (Relocatable); surface to 50 hpa (approx.).
Horizontal and vertical resolution, time step: LAPS and TLAPS: 0.3750 , MESO_LAPS: 0.1250, 29 sigma levels; TCLAPS 0.750 (LSE) and 0.150 (Relocatable), 19 sigma levels; LAPS and TLAPS: 40 sec., MESO_LAPS: 10 sec., TCLAPS: 40 sec (LSE) and 15 sec (Relocatable).
Orography, gravity wave drag: Included.
Horizontal diffusion: Included.
Vertical diffusion: Included.
Planetary boundary layer: Included.
Treatment of sea surface, earth surface and soil: Included.
Soil moisture analysis: Included in LAPS, TLAPS, TCLAPS and MESO_LAPS.
Radiation: Diurnal cycle, diagnostic clouds, interactive optical properties.
Convection (deep and shallow): Included.
Atmospheric moisture: Included.
Boundaries: LAPS, TLAPS and TCLAPS (LSE): Lateral boundaries from GASP.
MESO_LAPS: Lateral boundaries from LAPS.
TCLAPS (Relocatable): Lateral boundaries from LSE TCLAPS.

7.3.3 NUMERICAL WEATHER PREDICTION PRODUCTS:

The following post-processed fields are available from the Limited Area Prediction Systems:

Mean sea level pressure Surface pressure
Surface temperature Non-convective precipitation
Convective precipitation Total precipitation
Thickness (1000-500 hpa) Total totals index
Temperature gradient at 950 hpa Topography
Lifting condensation level Lifting index
Grassland fire danger index Forest fire danger index
Surface mixing ratio Mixing ratio
Boundary layer convective energy flux Stream function
Sensible heat Latent heat
U-component of wind V-component of wind
Temperature Potential temperature
Geopotential height Divergence
Dew point temperature Relative humidity
Wind speed Temperature advection
Vorticity Stretching deformation
Cloud cover Pressure of cloud top
Vorticity advection Vertical velocity
Dew point depression Wet bulb potential temperature
Equivalent potential temperature Frontogenesis function
Ucomponent ageostrophic wind Vcomponent ageostrophic wind
Shearing deformation 1000-500 hpa shear
Ucomponent of deformation Vcomponent of deformation
Q vector in x-direction Q vector in y-direction
U-component stream function V-component stream function
Moisture advection Moisture convergence

7.3.4     OPERATIONAL TECHNIQUES FOR APPLICATION OF NWP PRODUCTS:

The 10 m wind field from LAPS and MESO_LAPS are used to drive sea-state models for the Australian region and smaller domains. The Model Output Forecast (MOF) system, which is driven by LAPS and GASP, is used to produce numerous weather elements including temperatures (minimum, maximum,dry bulb, dew point, wet bulb and ground minimum), wind (speed and direction), precipitation, cloud amount, evaporation, sunshine and visibility.

7.4 SPECIALIZED FORECASTS:

An analogue/regression tropical cyclone model ("TOPEND") is available for providing guidance to the Australian Tropical Cyclone Warning Centres. Specialized sea-state forecasts are provided for the North West Cape and Bass Strait gas and oil fields.

7.4.1 Sea Wave Models:

The following table summarises the characteristics of the seastate system in the NMOC:

Domain Global Australian Region South East Australian
Numerical Scheme Deep water
3rd generation (WAM)
Deep water 3rd generation (WAM) Shallow water 3rd generation (WAM)
Wind data source GASP (10m) LAPS_PT375 (10m) MESO_LAPS_PT125 (10m)
Grid Latitude/
longitude
Latitude/
longitude
Latitude/
longitude
Resolution 30 10 0.250
Nesting Stand alone Within Global Within Regional
Start time of forecast 00,12 UTC 00, 12 UTC 00, 12 UTC
Initial state 12 hr hindcasting and assimilation of satellite (ERS) altimeter data No assimilation
Model output Wind and swell significant wave height, period and direction. Significant wave spectra and probabilities.
Verification With respect to rigs, buoys and satellite (ERS) altimeter data

 

7.4.2    Air Dispersion Model:

An air dispersion, or transport, system is available for running on demand, in an ad-hoc mode, and can produce forecast trajectories, concentrations (or exposures) and depositions for nuclear accident, volcanic ash, smoke and other episodes. Currently, the operational Environmental Emergency Response system consists of the Hybrid Single_Particle Lagrangian Integrated Trajectories (HY-SPLIT Version 4.0) system, developed at the NOAA Air Resources Laboratory, with meteorological input from the operational NWP systems in NMOC (viz., GASP, LAPS, TLAPS, and MESO_LAPS). Analysed backward trajectories are also available from GASP, LAPS and TLAPS in operations.

7.4.3    Solar Ultraviolet (UV) Radiation Forecast System:

Forecasts out to 36 hour forecasts of an UV index (defined as the product of the UV irradiance and a human skin response function) are produced operationally. The system analyses ozone concentrations, available from the global 120 km GTS TOVS data, using 2-dimensional univariate statistical interpolation. Forecasts of the ozone distribution are then computed using isentropic fields derived from GASP output. From vertical profiles of temperature and ozone, the UV index is calculated. Currently, forecasts of the UV index are produced, once per day, after completion of the 1200 UTC run of GASP.

7.4.4    Storm Surge System:

A system capable of forecasting storm surges caused by tropical cyclones is currently driven by wind and pressure field distributions defined according to the central pressure and maximum wind radius bogussed for tropical cyclones by Darwin RFC.

7.5     EXTENDED-RANGE FORECASTS (10 - 30 DAYS): Not applicable yet.

7.6     LONG-RANGE FORECASTS (30 DAYS - 2 YEARS):

A three-month rainfall seasonal climate outlook is prepared. Each month, a risk-assessment for three-month total rainfall across Australia is issued mid-month for the three-month period starting the following month. Probabilities are calculated for the three-month total rainfall being in the lowest one-third of historical falls (tercile 1), the middle one-third (tercile 2), and the upper one-third (tercile 3). The technique used is discriminant analysis, with the inputs being derived from recent Sea Surface Temperature (SST) patterns. Subsidiary techniques involved in the forecast model include principal component analysis of SSTs for the Pacific Ocean, Indian Ocean and Southern Ocean, and principal component analysis of rainfall patterns across Australia. SST EOF (Empirical Orthogonal Function) loadings, at one and three months lag, for the Pacific Ocean ENSO pattern and the Indian Ocean pattern are the current predictor inputs. The tercile probabilities, computed across Australia on a 10x10 grid are published in the form of contoured maps, tabulated averages for the 107 Australian rainfall districts, and tabulated interpolations for cities and towns around Australia.

Additional guidance at the rainfall district level is presented in the form of stratified rainfall climatologies based on recent values of the SOI (Southern Oscillation Index). Rainfall outcomes for eastern Australia, obtained from SOI analogues, are also described.

A similar scheme has been developed for seasonal temperature forecasts within the Bureau's research centre (BMRC) and this will eventually become operational. Additional forecasts for NINO3 are provided based on an intermediate coupled atmosphere-ocean with sub-surface ocean temperature assimilation. A coupled atmosphere-ocean GCM (General Circulation Model) combined with a sub-surface ocean temperature data assimilation system has been developed and is currently being assessed as a more comprehensive seasonal forecasting tool.

8.     VERIFICATIONS OF PROGNOSTIC PRODUCTS:

An annual summary of verification statistics for 1999, for the Australian regional and global schemes, is given in the following tables.

The following abbreviations have been used in the tables:

S1 30 day mean Teweles skill score over Australian verification area
r anomaly correlation coefficient between forecast heights and climatology over Australian verification area
PERSIS 24, 36 or 48 hour persistence prediction
REGN Australian Regional System (Note: LAPS upgraded 00UTC 27 July 1999)
GASP Global Assimilation and Prognosis model
RMSE Root Mean Square Error

Note:

REGN refers to LAPS (Limited Area Prediction System).

The LAPS and GASP results are with respect to their own analyses.

8.1 Skill Scores and Anomaly Correlation Coefficients:

24 HR VERIFICATION STATISTICS - AUSTRALIAN REGION 1999

BASE TIME: 0000UTC - VALID TIME: 0000UTC

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
M

S

L

S1

S1

r

PERSIS

REGN

REGN

53

30

.94

53

26

.95

56

25

.95

49

23

.96

56

25

.95

58

22

.94

54

23

.96

53

22

.96

59

24

.97

63

26

.95

57

24

.97

49

22

.97

500

hpA

S1

S1

r

PERSIS

REGN

REGN

46

20

.96

51

22

.96

51

22

.94

50

21

.96

47

19

.95

53

19

.95

48

18

.96

45

16

.97

49

16

.97

49

17

.96

45

17

.97

46

18

.97

250

hpa

S1

S1

r

PERSIS

REGN

REGN

40

16

.95

46

17

.97

45

17

.95

40

16

.96

41

15

.96

43

15

.95

40

13

.97

38

12

.97

42

12

.98

41

14

.96

39

13

.97

41

15

.97

 

36 H 36 HR VERIFICATION STATISTICS - AUSTRALIAN REGION 1999

BASE TIME: 1200UTC - VALID TIME: 0000UTC

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
MSL S1

S1

r

PERSIS

GASP

GASP

59

30

.93

62

29

.93

66

28

.93

61

25

.95

68

29

.93

69

26

.92

65

26

.95

66

25

.96

72

28

.95

75

29

.93

67

29

.95

60

28

.96

500

hpa

S1

S1

r

PERSIS

GASP

GASP

53

22

.95

59

25

.94

59

25

.93

61

25

.94

56

23

.93

60

22

.92

57

21

.94

56

20

.96

59

20

.96

57

21

.94

56

22

.94

55

23

.95

250

hpa

S1

S1

r

PERSIS

GASP

GASP

48

18

.94

53

21

.95

52

20

.93

48

20

.93

49

19

.93

49

17

.93

47

15

.95

48

15

.95

49

15

.97

49

17

.94

48

17

.95

48

18

.96

48 HR VERIFICATION STATISTICS - AUSTRALIAN REGION 1999

BASE TIME: 0000UTC - VALID TIME: 0000UTC

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
MSL S1

S1

r

PERSIS

GASP

GASP

65

35

.89

65

36

.89

71

33

.90

66

32

.91

73

34

.89

70

30

.89

71

32

.92

74

31

.92

79

34

.93

81

34

.89

75

35

.91

65

32

.94

500

hpa

S1

S1

r

PERSIS

GASP

GASP

58

26

.93

64

31

.91

61

30

.89

67

30

.90

61

28

.88

62

26

.89

62

25

.91

63

24

.94

63

24

.94

61

24

.91

61

26

.92

59

27

.93

250

hpa

S1

S1

r

PERSIS

GASP

GASP

51

21

.91

57

25

.92

55

25

.89

53

24

.88

53

23

.89

51

20

.90

50

18

.92

53

17

.93

52

19

.94

52

20

.91

52

21

.93

52

23

.92

 

8.2 Root Mean Square Errors (Annual 1999):

AREA FIELD RMSE UNIT VERSUS +24 HR +72HR +120HR
00UTC 12UTC 00UTC 12UTC 00UTC 12UTC
NH Z500 m Analyses 18.6 18.7 44.6 45.0 73.2 73.3
SH Z500 m Analyses 24.4 24.4 55.7 55.3 82.4 82.3
NH W250 m/s Analyses 6.5 6.6 12.1 12.2 17.1 17.1
SH W250 m/s Analyses 7.4 7.4 13.6 13.6 18.5 18.6
TROPICS W250 m/s Analyses 6.1 6.2 8.8 8.8 10.3 10.3
TROPICS W850 m/s Analyses 3.2 3.4 4.4 4.6 5.0 5.1

 

9. PLANS FOR THE FUTURE:

Plans for future operational systems in the NMOC Melbourne include:

  • an ongoing improvement and generalization of data processing;

  • the introduction of a higher horizontal resolution, viz. 0.050, version of MESO_LAPS for the Syney and Melbourne areas;

  • the implementation of an associated air quality prediction system;

  • an upgrade to a statistical interpolation version of the rainfall analysis system;

  • the introduction of a rainfall verification scheme;

  • the introduction of a mesoscale assimilation system;

  • an ongoing improvement of graphical display and editing systems;

  • the incorporation of local direct readout TOVS data, locally derived cloud drift winds and ERS scatterometer winds into GASP;

  • the implementaion of the 1D-VAR system into GASP;

  • a move to drive the storm surge model using meteorological input from TLAPS;

  • a move to produce the 96-hour global seastate forecasts at an improved resolution of 1.00;

  • an ongoing improvement to the operational Environmental Emergency Response System including the use of a unified wind input system and an extension to include a number of chemical transformations;

  • a move to broad-scale guidance on the 1-2 week time-scale;

  • the introduction of a fully coupled ocean-atmospheric model for seasonal analysis and prediction;

  • an upgrade to a dual-node NEC SX-5.

 

10. REFERENCES:

Bourke W., Hart T., Steinle P., Seaman R., Embery G., Naughton M. and Rikus L. : "Evolution of the Bureau of Meteorology's Global Data Assimilation and Prediction System. Part 2: Resolution Enhancements and Case Studies." Australian Meteorological Magazine, 44, 19-40, 1995.

Davidson N.E. and Puri K. : "Tropical prediction using dynamical nudging, satellite defined convective heat source and a cyclone bogus." Monthly Weather Review, 120, 2501-2522, 1992.

Davidson N.E. and Webber H.C.: "The BMRC high resolution tropical cyclone prediction system TC-LAPS." To appear in Monthly Weather Review, 2000.

Draxler R.R. and Hess G.D. : "An overview of the HYSPLIT_4 modelling system for trajectories, dispersion and deposition." Australian Meteorological Magazine, 47, 295-308, 1998.

Le Marshall J., Pescod N., Seaman R., Mills G. and Stewart P. : "An Operational System for Generating Cloud Drift Winds in the Australian Region and Their Imapct on Numerical Weather Prediction." Weather and Forecasting, 9, 361-370, 1994.

Le Marshall J.F., Riley P.A., Rouse B.J., Mills G.A., Wu Z.-J., Stewart P.K. and Smith W.L.: "Real-time assimilation and synoptic application of local TOVS raw radiance observations." Australian Meteorological Magazine, 43, 153-166, 1994.

Puri K., Dietachmayer G.S., Mills G.A., Davidson N.E., Bowen R.A. and Logan L.W. : "The new BMRC Limited Area Prediction System, LAPS." Australian Meteorological Magazine, 47, 203-223, 1998.

Seaman R., Bourke W., Steinle P., Hart T., Embery G., Naughton M. and Rikus L. : "Evolution of the Bureau of Meteorology's Global Data Assimilation and Prediction System. Part 1: Analysis and Initialisation." Australian Meteorological Magazine, 44, 1-18, 1995.

Stewart P.K. : "RSMC Melbourne - Pocedures, Standards, Results of Exercices and Ongoing Products." WMO Expert Team on Environmental Emergency Response. Beijing, China, 20-24 September 1999.

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