Global Data Assimilation and Prediction System (GDAPS)


I. Data assimilation, objective analysis and initialization

 

    More than 5,000 synoptic observations and various asynoptic observations, including satellite retrieval data, are used in the GDAPS. Table 1 presents the types and numbers of the observation that are available from the GTS.  The pre-processing procedures such as data acquisition, quality control and decoding, are fully automated.


Table 1.  The types and numbers of observations received through GTS, and the percentage of data used in global data assimilation for 24 hours in 2005.

 

data type

numbers of data/day

date used in assimilation[%]

1

SYNOP/ SHIP

42,500

49

2

BUOY

7,782

84

3

TEMP/ PILOT

1,759

91

4

AIREP/ AMDAR/ACARS

219,102

8

5

SATEM

29,289

39

6

SATOB

20,341

87

7

ATOVS

108,347

18

8

AWS

5,518

57

9

PAOB

400

100

10

Wind profiler

332

36


    The global analysis is performed with the 6-hour update cycle. A 6-hour forecast from the previous run provides a first guess for the next analysis. If a typhoon occurs in the Western Pacific, a typhoon bogus profile is calculated and the profile is assimilated in 3dVar as an observation with observation error determined statistically. The best fits of analysis are made with the 3dVar system. The analysis resolution of global 3dVar is T426L40 for the outer loop and T106L40 for the inner loop. The analysis is performed up to 0.4 hPa.


    A Non-linear Normal Mode Initialization (NNMI) with full physics is performed to suppress the amplitude of high-frequency gravity waves. The high frequency component is filtered out for each spherical harmonic component in the eight greatest vertical modes that exceed the critical frequency. Machenhauer's iterative scheme is used for determining the non-linear balanced solution.


II. Model Configuration

Dynamics

Basic equation

Primitive equations in sigma- pressure hybrid vertical coordinate

Numerics

Spectral representation of horizontal variables with triangular truncation of T426, corresponding to a Gaussian grid size of 0.28125 degrees or 30km

Domain

Global

Levels

40 vertical levels ranging from surface to 0.4 hPa

Time integration

Eulerian semi-implicit scheme

Physics

Horizontal diffusion

Second order Laplacian, and Rayleigh friction

Moist processes

Kuo scheme, large-scale condensation, and shallow convection scheme

Radiation

Long wave radiation calculated every three hours

Short wave radiation calculated every hour

Gravity wave drag

Long waves (wavelength>100km)

Short waves (wavelength 10km)

PBL processes

Non-local diffusion  scheme and similarity theory for surface layer

Land surface

Simple biosphere model

Surface state

NCEP daily SST anomaly added to monthly changing climatological  SST

Climatological values are used for the soil moisture, snow depth, roughness length and albedo


III. Operational aspects

 

    GDAPS for 10-day projection runs at 00 UTC and 12 UTC with 2 hours and 20 minutes data cutoff. The 84-hour projection is used for short-range weather forecasts, and for the provision of lateral boundary condition for a regional model. The 10-day projection is used for weekly forecast. The wind fields predicted by GDAPS is used as an input for the trajectory model of yellow sand and the surface wind is also used as an input for the global wave model.


IV. Recent changes

 

    1st December 2005, GDAPS has improved its resolution from T213L30 to T426L40 owing to the complete installation of the new super computer Cray X1E at KMA. The analysis resolution of global 3dVar is increased in accordance with the improvement of model resolution. The outer loop increase its resolution from T213L30 to T426L40 and the inner loop is also improved from T63L30 to T106L40. The analysis top becomes higher from 10 to 0.4 hPa.