Global Forecast System (GFS) Model - PowerPoint PPT Presentation

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Global Forecast System (GFS) Model

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sigma at low levels to pressure aloft. Vertical coordinate ... Uses the MAPS mesoscale model...which uses a hybrid sigma/isentropic vertical coordinate ... – PowerPoint PPT presentation

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Title: Global Forecast System (GFS) Model


1
Global Forecast System (GFS) Model
  • Previous called the Aviation (AVN) and Medium
    Range Forecast (MRF) models.
  • Global model and 64 levels
  • Relatively primitive microphysics.
  • Sophisticated surface physics and radiation
  • Run four times a day to 384 hr.
  • Major increase in skill during past five years
    derived from using direct satellite radiance in
    the 3DVAR analysis scheme.
  • T382 (35 km) over the first 180 hours (7.5 days)
    of the model forecast and T190 (70 km) for 180
    through 384 hours--major implications for
    resolution change!

2
GFS
  • Just changed vertical coordinates from sigma to
    hybrid sigma/pressure sigma at low levels to
    pressure aloft.

3
Vertical coordinate comparison across North
America
4
GFS Data Assimilation
  • Has a later data cut-off time than the mesoscale
    modelsand thus can get a higher percentage of
    data.
  • Uses much more satellite assets..thus improve
    global analysis and forecasts.
  • Major gains in southern hemisphere
  • Based on 3DVAR

5
(No Transcript)
6
Skill Improvements (ECMWF)
  • Useful skill until
  • - day 5
  • 2000 - day 7
  • 2003 - day 8

7
Rapid Update Cycle-RUC
8
RUC
  • A major issue is how to assimilate and use the
    rapidly increasing array of offtime or continuous
    observations (not a 00 and 12 UTC world anymore!
  • Want very good analyses and very good short-term
    forecasts (1-3-6 hr)
  • The RUC ingests and assimilates data hourly, and
    then makes short-term forecasts
  • Uses the MAPS mesoscale modelwhich uses a hybrid
    sigma/isentropic vertical coordinate
  • Resolution 13 km and 50 levels

9
13km RUC
Terrain elevation - 100 m interval
  • Improvements expected from 13km RUC
  • Improved near-surface forecasts
  • Improved precipitation forecasts
  • Better cloud/icing depiction
  • Improved frontal/turbulence forecasts

NCEP computer upgrade allows RUC13 to run in same
time as current RUC20
10
Observations used in RUC Data Type
Number Freq. ------------------------------
-------------------- Rawinsonde 80
/12h NOAA profilers 30 /
1h VAD winds 110-130 / 1h
Aircraft (V,temp) 1400-4500 /
1h Surface/METAR 1500-1700 /
1h Buoy/ship 100-150 / 1h GOES
precip water 1500-3000 / 1h GOES cloud
winds 1000-2500 / 1h GOES cloud-top pres
10 km res / 1h SSM/I precip water
1000-4000 / 6h --------------------------------
------------------ GPS precip water 300
/ 1h Mesonet 5000 /
1h METAR-cloud-vis-wx 1500 /
1h -----------------------------------------------
---
Cloud analysis variables
NCEP RUC20 operational
RUC13 (at NCEP June 2005)
11
  • RUC History NCEP (NMC) implementations
  • - First operational implementation of RUC
  • - 60km resolution, 3-h cycle
  • 1998 40km resolution, 1-h cycle,
  • - cloud physics, land-sfc model
  • 2002 20km resolution
  • - addition of GOES cloud data in assimilation
  • 2003 Change to 3dVAR analysis from previous OI
  • (April)
  • 2004 Vertical advection, land use (April)
  • PBL-depth for surface assimilation (September)
  • 2005 13km resolution, new obs, new model
    physics
  • (June)
  • 2007 WRF-based Rapid Refresh w/ GSI to replace
    RUC

12
13km RUC
20km RUC
Soil moisture 22z - 21 Feb 2005 Dark blue
water
More detailed coastline with 13km resolution
13
WRF RUC
  • A new version of RUC has been developed, but not
    yet operational that uses the WRF model instead
    of the MAPS model.
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