GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021

 
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GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
GFSv16: Further Advancements to the UFS
 Medium Range Weather Application in 2021

Fanglin Yang
NOAA/NWS/NCEP/EMC

Vijay Tallapragada, Daryl Kleist, Arun Chalwa, Jason Levit, Russ Treadon, Jeffery Whitaker, Jack Kain, Lucas Harris, Jian-Wen Bao, Jun
Wang, George Gayno, Jongil Han, Weizhong Zheng, Helin Wei, Shrinivas Moorthi, Valery Yudin, Ruiyu Sun, Linjiong Zhou, Anning Chen,
Rongqian Yang, Xingren Wu, Xiaqiong Zhou, Henrique Alves, Jessica Meixner, Ali Abdolali, Catherine Thomas, Cory Martin, Wansu Wu,
Kristen Bathmann, Phillp Peigion, Andrew Collard, Xu Li, Haixia Liu, Yanqiu Zhu, Xiujuan Su, Shelley Melchior, Wen Meng, Hui-ya Chuang,
Boi Vuong, Mallory Row, Guang-Ping Lou, Yali Ma, Jiayi Peng, Deanna Spindler, Roberto Padilla, Geoffery Manikin, Alicia Bentley, Logan
Dawson, Kate Friedman, Mark Iredell, Hang Lei, Eric Rogers, George Vandenberghe, James Abeles, Gerhard Theurich, Edward Hartnett,
Rusty Benson, Farida Adimi

                                               UNIFIED FORECAST SYSTEM (UFS) USERS’ WORKSHOP

                                                                        July 27-29, 2020.
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GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
GFS.v15 Implementation -- June 12, 2019
             First Finite-Volume Cubed-Sphere Dynamical Core (FV3) based GFS
        & GFDL Microphysics Scheme with Multiple Prognostic Cloud Hydrometers
Configuration:                                       Outstanding Issues

●   High-res: C768 (~13km)                           • PBL inversion

●   Data Assimilation: C384 (~25km, 80 member        • Cold bias in the lower troposphere in winter
    ensemble)
                                                     • Surface temperature biases
●   64 layer, top at 0.2 hPa
                                                     • Biases in the upper atmosphere
●   Dycore: FV3, non-hydrostatic, single precision
                                                     • Error of track forecast for strong storms (initial
●   Physics: GFS Physics + GFDL Cloud
                                                       wind > 65 kts) in the Atlantic basin
    Microphysics

      GFS.v15 laid the foundation for further improvement of NOAA FV3-based forecast systems
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GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
Change History of GFS Configurations
 Mon/Year     Lev     Truncations     Z-cor/dyncore    Major components upgrade

 Aug 1980     12      R30 (375km)    Sigma Eulerian    first global spectral model, rhomboidal

  Oct 1983    12      R40 (300km)    Sigma Eulerian

 Apr 1985     18      R40 (300km)    Sigma Eulerian    GFDL Physics

  Aug 1987    18      T80 (150km)    Sigma Eulerian    First triangular truncation; diurnal cycle

  Mar 1991    18      T126 (105km)   Sigma Eulerian

 Aug 1993     28      T126 (105km)   Sigma Eulerian    Arakawa-Schubert convection

  Jun 1998    42      T170 (80km)    Sigma Eulerian    Prognostic ozone; SW from GFDL to NASA

  Oct 1998    28      T170 (80km)    Sigma Eulerian    the restoration

  Jan 2000    42      T170 (80km)    Sigma Eulerian    first on IBM

Oct 2002      64      T254 (55km)    Sigma Eulerian    RRTM LW;

 May 2005     64      T382 (35km)    Sigma Eulerian    2L OSU to 4L NOAH LSM; high-res to 180hr

 May 2007     64      T382 (35km)    Hybrid Eulerian   SSI to GSI
                                                                                                    17 years
   Jul 2010   64      T574 (23km)    Hybrid Eulerian   RRTM SW; New shallow cnvtion; TVD tracer      No change
                                                                                                    in vertical
  Jan 2015    64      T1534 (13km)   Hybrid Semi-Lag   SLG; Hybrid EDMF; McICA etc
                                                                                                    resolution
  May2016     64      T1534 (13km)   Hybrid Semi-Lag   4-D Hybrid En-Var DA

  Jun2017     64      T1534 (13km)   Hybrid Semi-Lag   NEMS GSM, advanced physics

Jun 2019      64      FV3 (13km)      Finite-Volume    NGGPS FV3 dycore, GFDL MP
GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
GFS V16: Major Upgrades to Forecast Model
Model resolution:
  Increased vertical resolution from 64 to 127 layers and raise model top from 54 km to 80 km

Physics updates
  PBL/turbulence:  Replaced K-EDMF with sa-TKE-EDMF
                   Revised background diffusivity as a stability dependent function
   GWD:            Added a parameterization for subgrid scale nonstationary gravity-wave drag
   Radiation: Updated calculation of solar radiation absorption by water clouds; Updated cloud overlap
                   assumptions.
   Microphysics:   Updated GFDL microphysics scheme for computing ice cloud effective radius
   Noah LSM: Revised ground heat flux calculation over snow covered surface; Introduced vegetation
                   impact on surface energy budget over urban area

Coupling to Wave
  One-way coupling of atmospheric model with Global Wave Model (WaveWatch III)
Coupling to GLDAS
  Spin up land states using CPC Gauge precipitation in the GDAS 00Z cycle
GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
GFS V16: Major Upgrades to Data Assimilation
• Local Ensemble Kalman Filter (LETKF)
  with model space localization and linearized observation operator
  to replace the Ensemble Square Root Filter (EnSRF)

• 4-Dimensional Incremental Analysis Update (4D-IAU)

•   Turn on SKEB in EnKF forecasts
•   Update variational QC
•   Apply Hilbert curve to aircraft data
•   Correlated observation error for CrIS over sea surfaces and IASI over sea and land
•   Update aircraft bias correction with safeguard
•   Assimilate AMSU-A channel 14 and ATMS channel 15 w/o bias correction
•   Assimilate CSR data from ABI_G16, AHI_Himawari8, and SEVIRI_M08
•   Assimilate AVHRR from NOAA-19 and Metop-B for NSST
•   Use CRTM v2.3.0
GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
I/O Change and Inline Post

•   The size of each forecast history file in binary (nemsio) format increased
    from 17GB (64L GFS) to 34GB (127L GFS).

•   A decision was made to write out history files in netCDF format with
    compression. compression ratio:      5.3x (33.6 GB to 6.3 GB), with
    information loss.

•   The Unified Post Processor is now run inline with the model forecast to 1)
    reduce I/O footprint and, 2) retain UPP data precision and accuracy because
    forecast history files are now in compressed netCDF format with
    information loss.
GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
Product Changes
○   Add more pressure levels (at 0.01, 0.02, 0.04, 0.07, 0.1, 0.2, 0.7 hPas)
○   new fields : include cloud ceiling, total column and low/mid/high cloud fractions, and
    radar reflectivity at 1 km/4 km and 1st/2nd model level above ground.
○   Replace filtered Shuell SLP with unfiltered SLP using same ID PRMSL
○   Replace legacy synthetic nadir GOES 12/13 with synthetic nadir ABI GOES-R products
○   Remove terrain adjustment of bufrsnd profiles
○   FSU storm genesis verification
○   See PNS for GFS V16 product removal

○    New WAVE Multi_1 computational grid grib2 files
    ■ Northern hemisphere 0p16 to Replace global 30 arc min and all regional grids
    ■ Southern Hemisphere 0p25 to Replace global 30 arcmin
    ■ Arctic polar-stereographic 9km to Replace Arctic 18km
    ■ New global extended 0p25 to Replace global extended 30 arcmin
○
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GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
GFS V16 Implementation and Evaluation Schedule

●   Real-time parallel started:          May 19, 2020
●   Retrospective forecasts period: June 2019 ~ May 2020
                                                            ●   NCEP OD science brief:   6 Oct 2020
●   EE2 Coordination meeting:           11 June 2020        ●   Code Handoff to NCO:     9 Oct 2020
●   PNS sent to HQ:                     18 June 2020        ●   SPA begins work:         12 Oct 2020
●   Retrospective forecasts complete: August 31, 2020       ●   NCO 30-day parallel:     21 Dec 2020
●   MEG Evaluation Kickoff webinar:       July 23, 2020     ●   NCO OD IT brief:         27 Jan 2021
●   Field Evaluation: August 3, 2020 - September 25, 2020   ●   Implementation:          3 Feb 2021
●   MEG Evaluation Briefing: September 24, 2020
●   Field Recommendations due: September 28, 2020

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GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
GFS.v16 Preliminary Results
            -- Success and Challenges

C768/C384 (13/25km) L127 Configuration Cycled with data assimilation
                      June 2019 ~ July 2020

Note: EMC Verification and Product Generation Branch Model Evaluation Team, NWS
forecast offices, OAR Labs and the user community will provide more comprehensive
evaluation of GFSv16, and provide recommendations to the NCEP Office of Director for
implementation

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GFSv16: Further Advancements to the UFS Medium Range Weather Application in 2021
500-hPa HGT Anomaly Correlation

                           NH Day-5                        SH Day-5

                          NH Die-off
                                                          SH Die-off

                                                                       10
Increase is significant up to day 6
Precip ETS and BIAS SCORES over the Continental US
            00Z Cycle, verified against gauge data

                                                     11
1 hPa Temperatures : 60N-90N : Dec 2019 – Jan 2020

GFSv15                                                             GFSv15
                                                                    GFSv16-
                                                                    Beta
                                                                    GFSv16

GFSv16-
Beta

GFSv16

                                                               Credit: Craig12Long
Hurricane Track Forecast -- Still a Grand Challenge

                                  Eastern                Western
Atlantic                          Pacific                Pacific

Dorian                 Humberto             Gabrielle
                                                                 Lorenzo

                                                                      13
Temperature Biases in the NH Lower Troposphere
                             5-Day Forecasts fit to ROBS

     DJF 2019/20

                                                     June-July
                                                     2020
       GFSv15

                       GFSv16
                                                      GFSv16
                                                                    GFSv15

The large cold bias found in GFS.v15           However, New cold bias developed
in NH winter is removed in GFS.v16             in GFS.v16 in NH summer       14
Climate Run:                                             Ensemble Spread at Model Top
QBO, SAO -- w/ Unified GWD

                                                                 It is still not well understood why
                                                                        the spread is so large

• Operational model (GFS.v15) cannot simulate the QBO

• A QBO-like feature is captured in GFS.v16 “climate” run
  with the non-stationary GWD physics (v0) included;
  However, the periodicity is too short, appears to be an
  downward propagating SAO.

•   GWD needs further improvement. The updated
    parameterization (v1) further improved the upper
                                                                 Increasing damping reduced ensemble spread
    atmosphere forecast (see Valery Yudin’s presentation). It    in short-lead forecast but makes jet streams too
    will be tested and transitioned to operation in GFS.v17/     weak in medium-range forecast
    GEFSv13
Gird Imprinting Issue
                      Spurious edge imprints                          Derived Aviation Product: GTG

 U                                     V

“Cubic grids based on a separate gnomonic projection for each face of the cube possess a sharp
angular discontinuity across each edge and corner. This can lead to unsightly spurious imprints in
fields derived from forecasts”
Presentation by R. James Purser, and Miodrag Rancic: Eliminating grid imprinting with a Conformal
Cubic Overset Grid
Thank You

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