COAMPS James D. Doyle, Rich Hodur, Yi Jin, Jon Moskaitis

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COAMPS‐TC Diagnostics
James D. Doyle, Rich Hodur, Yi Jin, Jon Moskaitis
NRL, Monterey, CA
C. Amerault, S. Chen, J. Cummings1, E. Hendricks, R. Hodur2, T.
Holt, H. Jin, C.-S. Liou, M. Peng, K. Sashegyi, J. Schmidt, S. Wang
Naval Research Laboratory, Monterey, CA
1Naval Research Laboratory, Stennis, MS
2SAIC, Monterey, CA
1
COAMPS-TC
Diagnostic Capabilities
•Track and intensity diagnostics
• Single storms, multiple forecasts, suite of forecasts
•Model field based diagnostics
• Single forecasts diagnostics, temporal tendencies, differences between runs
•Qualitative structure diagnostics and comparisons
• Comparisons with satellite imagery, with other simulations, with CIRA winds
•Specialized diagnostics
• Soundings, comparison with Doppler radar composites (w/ R. Rogers, HRD)
•Synthetic satellite diagnostics
• Qualitative comparisons (Collaboration w/ Grasso and DeMaria at CIRA)
•Ocean coupling diagnostics
•Adjoint based diagnostics
• Track (larger-scale) and intensity (nested adjoint) initial condition sensitivities
•Real-time model diagnostics
• Display of atmosphere and ocean fields, tracks, multi-model tracks
• Specialized diagnostics (shear, TPW)
• Verification of track and intensity
2
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Best-track
Forecast track
Best-track position
Forecast position
Earl (al072010): Track
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Track error
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Distance traveled error
MAE
ME
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Position mean error
Mean error in meridional direction (nm)
Cardinal direction decomposition
N
E
W
S
Mean error in zonal direction (nm)
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Position mean error
Mean error in along-track direction (nm)
Storm-relative directional decomposition
Ahead
Right
Left
Behind
Mean error in cross-track direction (nm)
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Intensity
Best-track
Forecast intensity
Intensity (kt)
Forecast initial intensity
Date
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Intensity error
MAE
ME
COAMPS-TC: Track + intensity diagnostics
Min slp (mb)
Earl (al072010): Min sea-level pressure
Best-track
Forecast min slp
Forecast initial min slp
Date
COAMPS-TC: Track + intensity diagnostics
Earl (al072010): Min sea-level pressure error
MAE
ME
COAMPS-TC
2008/2009 HFIP Retrospective Forecasts
W. Atlantic and E. Pacific Homogeneous Intensity Forecast Error
Wind Forecast Error (kts) vs. Retro
Mean Absolute Error (knots)
Mean Absolute Error (knots)
Wind Forecast Error (kts) vs. Ops
Bias (dashed)
Mean error (solid)
Number of Cases
• COAMPS-TC Retro Intensity Skill is Better than the HWRF, GFDN, GFDL, and AHW for
the 30-84h forecasts
33
COAMPS-TC
2008/2009 HFIP Retrospective Forecasts
W. Atlantic Forecast Error
Storm Relative Mean Track Error
Homogeneous Track Forecast Error (nm)
Fast
Left
Right
Slow
• COAMPS-TC Track Error Similar to NOGAPS.
• Relative Track Error to the Right and Slow for COAMPS-TC.
34
COAMPS-TC
Dianosis of Multi-Model HFIP Forecasts
Homogeneous Statistics
Cross and Along Track Forecast Error
Intensity Error
Statistical analysis to provide insight into the track and intensity
forecast characteristics (e.g., consistency etc.)
35
COAMPS-TC Diagnostics
Track Error Related to Initial Intensity of TC (2009)
200
INT12
12
h
INT24
24 h
Linear (INT12)
Linear
(12 h)
Linear
(INT24)
Linear (24 h)
Track Error (nm)
150
100
50
0
0
20
40
60
80
100
120
140
Initial Intensity (knots)
• 12-h and 24-h track errors are worse when initial winds < 60 kts.
• Sensitivity to the vortex initialization (synthetic observations).
• Possible solutions: Dynamic initialization
Improved TC microphysics
36
COAMPS-TC Diagnostics
Bias in the TC Intensity Forecasts (2009)
25
Wind Speed Bias (KT)
20
W. Atlantic
COAMPS-TC Real-time
HWRF
15
10
5
0
0
12
24
(40)
(36)
(29)
36
48
72
96
120
(10)
(6)
-5
-10
(23)
(20)
Forecast Hour
(16)
• Weaken systems during first 12-24 h, then strengthens.
• Possible Solutions: TC Dynamic Initialization
Air-sea coupling, improved physics
37
COAMPS-TC Diagnostics
Sensitivity to Lateral Boundary Conditions
COAMPS-TC Track Errors for Hurricane Bill (2009)
Lateral Boundary Conditions from NOGAPS 3D-Var and NOGAPS 4D-Var
/16
/16
/15
/14
/13
/12
/11
/10
/8
/8
/7
/# Cases
• Track error is improved markedly using NOGAPS 4D-Var.
• Track skill is sensitive to whether NOGAPS or GFS is used.
• Improved global BCs lead to improved track forecasts.
38
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Outer grid 500 mb wind field forecast
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 temperature field
COAMPS-TC: Field diagnostics
Colin (al042010): Tau = 120 – Tau = 0 vertical profiles
Warming
during
forecast
Cooling
during
forecast
Relative humidity difference (%)
Pressure (mb)
Pressure (mb)
Temperature difference (deg C)
Moistening
during
forecast
Tropical mean
Subtropical mean
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Celia (ep042010): Precipitable water difference field
‘New NAVDAS’ forecast – ‘Old NAVDAS’ forecast
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Control
New initial vortex
Megi (wp152010): Inner grid 10-m wind field comparison
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field diagnostics
Updated microphysics
Control
Celia (ep042010): Solid condensate mixing ratio comparison
Tau = 72 h forecast
COAMPS-TC: Field Diagnostics
Qualitative comparisons with observations
Objective: Identify biases in COAMPS analyses/predictions
of the convective distribution and surface wind field
Microwave BT
observation
Danny
Rick
TC rapidly weakening
because of moderate
vertical wind shear
Weak TC in environment
of moderate vertical
wind shear
+
+
COAMPS 12 h
reflectivity forecast
+
Microwave BT
observation
+
Surface center
+
Bright colors indicate
deep convection
COAMPS 79 h
reflectivity forecast
COAMPS TCs
consistently
too resistant
to vertical
wind shear
COAMPS-TC: Field Diagnostics
Qualitative comparisons with observations
Objective: Identify biases in COAMPS analyses/predictions
of the convective distribution and surface wind field
COAMPS surface wind analysis
Melor: 00z 2 Oct 2009
CIRA surface wind analysis based on satellite obs
Maximum wind at larger radius in COAMPS
34 kt wind at larger radius in COAMPS
For intense TCs, COAMPS analysis wind field is consistently too broad
COAMPS-TC
Cloud Top Height
Control (NRL), New (NRL), and WRF Thompson Microphysics Tested for Igor
Control
Thompson
New
• Qualitative and quantitative comparisons of forecast cloud top heights with satellite
fields show that the Control (NRL) microphysics over-estimates cloud top heights.
• Thompson scheme implemented in COAMPS reduces cloud ice significantly, confirming
the important role of the microphysics scheme for cloud forecasts.
• The NRL New microphysics in COAMPS-TC shows much improved cloud forecasts.
97
COAMPS-TC
Cloud Top Height
Initial Comparison with Satellite IR Imagery valid at 1200 UTC 13 Sept 2010
Control
Thompson
New
Both the Thompson and NRL (New) remove the
upper tropospheric cloud bias significantly and
compare better with satellite imagery.
98
COAMPS-TC
Skew-T Sounding
Comparisons with observed sounding for detailed vertical structure
Control
Thompson
New
Magenta: OBS
Black: COAMPS-TC
024
48
H HH
72 H
• Soundings and dropsondes are used to diagnose COAMPS-TC performance.
• The Corpus Christi station is used here for demonstration purposes.
• COAMPS-TC simulated well the time evolution of vertical temperature profiles.
• More work is needed to improve the vertical distribution of moisture.
• The New (NRL) microphysics improves the upper-level temperatures.
99
COAMPS-TC
Physical Parameterization Evaluation using Doppler OBS
Vortex-scale fields – winds at 2 km altitude (72 h forecast valid at 00 Z Aug 29 2005, 3-km)
Control
150
New
90
80
150
70
100
100
50
50
Doppler OBS*
70
150
60
60 100
50
40
50
40
50
30
30
0
16
Height (km)
14
0
50 100 150
0
50 100 150
50 100 150
Vortex-scale fields – Azimuthally average winds for Katrina
Control
16
0 10 20 30 40 50 60 70 80 90
New
14
12
10
8
8
6
6
2
70
12
10
4
18
50
Doppler OBS*
14
70
12
60
10
50
40
30
30
6
20
4
10
10
0
2
10 20
0 10 20 30 40 50 60 70 80 90
80
8
4
2
16
30
40
50
60
70
80 90 100
0 10 20 30 40 50 60 70 80 90
*The Doppler Observations were provided by R. Rogers of HRD.
100
COAMPS-TC
NRL and CIRA Collaboration through HFIP: Synthetic GOES
Imagery for Model Evaluation and Development
Hurricane Hanna (2008) tested (initialized 1200 UTC 1 Sept 2008)
Number of Occurrence
OBS: 0000UTC 4 Sept
Histogram
CNTL
Mod-IN
OBS
BT (K)
CNTL (66 h fcst)
Mod-IN (66 h fcst)
• The synthetic brightness temperature (BT) products
provide an effective method for direct and quantitative
evaluation and guidance for improvement in model
physics.
• Tests using modified ice nucleation equation reduced
the cloud ice bias and the NRL new microphysics
corrected this bias.
• Model evaluation efforts are underway for 2010 storms
101
COAMPS-TC
COAMPS-TC diagnostic files provided to CIRA in support of HFIP
Diagnostic files of 2010 Atlantic storms available at the COAMPS-TC website
• COAMPS-TC model output was used to produce diagnostic files.
• The code developed for COAMPS-TC used standard Fortran 90 and can
be easily port to other platforms.
• These files are now available to view and download at the COAMPS-TC
web site.
102
COAMPS-TC: New Capabilities
Coupled Air-Sea Forecasts of Hurricane Bill
Air-Ocean
Coupling in
COAMPS-TC
Predicts SST
Cool Wake of
2-3°C
Intensity Error (kts)
18-23 Aug
Uncoupled
Coupled
SST Change (72 h)
Microwave Satellite
Derived SST Shows
2-3°C Cool Wake Similar
to the Coupled Model
Intensity Error
Markedly Improved
using Coupled Model
Evaluation of air-sea interaction for real-time forecasts of TCs
in W. Pacific during ITOP currently ongoing.
103
COAMPS-TC Adjoint Diagnostics
Super Typhoon Lupit (W. Pacific, 2009)
• Adjoint allows for the mathematically rigorous calculation of forecast
sensitivity of a response function to changes in the initial state
Typhoon Lupit
• COAMPS® Moist Adjoint Model
• Dynamics: nonhydrostatic, nested
• Physics: PBL, surface flux, microphysics, Kuo
• Ocean: Two-way coupled mixed layer model
• Response Function, J: Adaptive, multiple metrics
00UTC 20 October 2009
48-h Sensitivity to q at 700 mb
00UTC 20 October 2009
104
COAMPS-TC Adjoint Diagnostics
Super Typhoon Lupit (W. Pacific, 2009)
Intensification Stage
12-h Sensitivity to q at 500 m
12-h Sensitivity to z at 500 m
1200 UTC 15 October 2009
Adjoints can help identify key synoptic features in initial state that impact track and
can help identify structures and key variables for intensification.
105
COAMPS-TC
COAMPS-TC Web Site
Real-time TC prediction and verification in support of HFIP project
(http://www.nrlmry.navy.mil/coamps-web/web/tc)
Storm
names
Monthly
Calendar
• Unique and convenient TC
sorting methods based on
storm lists and dates
• A monthly calendar with all
available storm forecasts
• Easy navigating features:
animaiton, frame by frame,
different date groups and
variables, and at different
scales (from regional,
mesoscale, to vortex
scales)
106
COAMPS-TC
Real-Time Verification and Structure Diagnostics
Forecasts for Hurricane Igor initialized at 1200 UTC 11 Sept 2010
Track
Maximum Wind Speed
10m Wind
200Pa-850Pa Wind Shear
Minimum Sea Level Pressure
500Pa-850Pa Averaged RH and Wind
BEST
OFCL
107
COAMPS-TC
Comparison of Forecast TPW with Satellite Data
Forecasts for Hurricane Igor initialized at 1200 UTC 11 Sept 2010
Regional Scale (45 km Resolution)
Mesoscale Scale (15 km)
(Courtesy of University of Wisconsin)
Vortex Scale (5 km)
• Direct comparison of total
precipitable water (TPW)
fields with the same color
scale as the satellite plots
• Extend the maximum
value of the color bar for
small scale features
108
COAMPS-TC
Wish List and Future Plans for Diagnostics
•Detailed multi-model comparison capability
• Comparison of models including regional and global
• Comparisons of model initial states (and observation sets used) (w/ EMC)
•More readily exploit observations
• Single forecast diagnostics, temporal tendencies, differences between runs
•Nested adjoint-based diagnostics (track, intensity, structure)
• Initial condition sensitivity, insight into DA issues, targeted observations
•Routine verification with remote sensing observations
• Synthetic satellite imagery, verification in radiance space
•Structure verification
• Quantitative verification of RMW, size, asymmetries, organization
• Comparison with Doppler radar observations (collaboration w/ HRD).
•Community based diagnostic toolbox
• A suite of diagnostic tools interoperable for multiple TC systems.
• More collaborations: HRD (Rogers et al. ), CIRA (DeMaria, Grasso), EMC
109
COAMPS-TC Overview
Current and Future Capabilities
Atmospheric Analysis
• Complex Data Quality Control
• Relocation of TC in background
• Synthetic Observations: TC vortex
• NAVDAS 3DVAR: u, v, T, q, TC option
• Initialization: Digital Filter Option
• TC Balance Step: (underway)
Atmospheric Model
• Numerics: Nonhydrostatic, Scheme C,
Moving Nests, Sigma-z, Flexible Lateral BCs
• Physics: PBL, Convection, Explicit Moist
Physics, Radiation, Surface Layer
• TC Tools: Moving nests, dissipative heating,
spray parameterization, shallow convection
Ocean Analysis
• Navy Coupled Ocean Data Assimilation
(NCODA) System
• 2D OI: SST
• 3D MVOI: T, S, SSH, Sea Ice, Currents
• Complex Data Quality Control
• Initialization: Stability check
Ocean Models
• NRL Coastal Ocean Model (NCOM)
• Numerics: Hydrostatic, Scheme C, Nested
Grids, Hybrid Sigma/z
• Physics: Mellor-Yamada 2.5
• Wave Models (WWIII and SWAN)
• Generalized Coupling Layer (ESMF)
Atmospheric Ensembles
Ocean Ensembles
• Initial Cond. Perturbation: ET, EnKF
• Physics Perturbations: PBL, Convection…
• Lateral BCs: Global ensemble (NOGAPS)
• Probabilistic Products: Intensity, track…
• Initial Cond. Perturbation: ET
• Physics Perturbations: PBL, Fluxes…
• Lateral BCs: NCOM
• Probabilistic Products: Mixed layer, OHC..
The Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) is a registered trademark of NRL
110
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