Gulf of Mexico – February–April 2024
P.F.J. Lermusiaux, P.J. Haley, C. Mirabito, E. Mule Massachusetts Institute of Technology Center for Ocean Engineering Mechanical Engineering Cambridge, Massachusetts
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MSEAS Deterministic Ocean Forecasts MSEAS Probabilistic Ocean Forecasts MSEAS Methods & Systems Atmos. Forecasts Data sources |
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This research is sponsored by the The National Academies of Sciences, Engineering, and Medicine. |
The MASTR collaborative sea experiment occurs in the Gulf of Mexico from February to April 2024. We employ our MIT-MSEAS data-assimilative Primitive-Equation (PE) submesoscale-to-regional-scale ocean-modeling system for real-time deterministic and probability forecasts of ocean fields and derived quantities. Specific objectives include (i) multi-resolution ensemble forecasts with initial conditions downscaled from multiple models and implicit 2-way nesting, (ii) mutual information forecasts for predictability studies, (iii) optimal adaptive sampling guidance for air and sea sensing platforms, and (iv) reachability forecasts for underwater vehicles. Finally, we provide varied data sets that we process. We thank all of the MASTR team members for their input and collaboration, namely Steve DiMarco, Andrew Dancer, Xiao Ge, Anthony Knap, Yun Liu, Sakib Mahmud, and Uchenna Chizaram Nwankwo (TAMU); Scott Glenn, Travis Miles, David Aragon, Kaycee Coleman, and Michael Smith (Rutgers); Michael Leber, Rafael Ramos, and Jill Storie (Woods Hole Group); Grant Stuart, Joseph Marble, and Paulo Barros (Fugro); Eric Chassignet (FSU); Amy Bower and Heather H. Furey (WHOI); Benjamin de la Cruz and Lynn Shay (Miami); M. J. Costa de Almeida Tenreiro, Enric Pallas Sanz, Julio Sheinbaum and Paula Pérez-Brunius (CICESE); Doug Wilson (UVI); Jan van Smirren (Ocean Sierra); Monreal Gómez María Adela and Román Ismael Contreras Morales (UNAM); and finally Michael Feldman and Megha Khadka (NAS). We also thank the HYCOM Consortium and Mercator Ocean for their ocean model fields, and NCEP for their atmospheric forcing data. Finally, we thank our MSEAS group members, and Yoland Gao and Wael Hajj Ali for help with the 2DSeaVizKit software.
Real-time MSEAS Forecasting
Deterministic | Probabilistic |
- MSEAS Deterministic Ocean Forecasts
Real-Time Estimates of Present (16 Apr 0000Z) Environmental Conditions (initialized from downscaled Mercator) Gulf Modeling Domain Sections Locations Overlaid on Bathymetrry Interactive Ocean Physics Forecast Optimal Flight Path Mutual-information (MI) Optimal flight path for February 20, which maximizes the MI between the surface velocity measured on February 20 and σT+velocity of the LC’s western wall and eddies on February 23.
2m Vorticity 0m Sigma-T 0m Sigma-T Unc. Sec. 4 Temperature Sec. 4 Temp. Unc. Sec. 4 Salinity Sec. 4 Salinity Unc. Nowcast and Forecast Products
with descriptive dynamics
[Product details]Analyses and Forecasts Issued On February 2024 March 2024 April 2024 7 8 (1/12.5°) 8 (1/25°) 9 10 11 12 13 14 15 17 29 2 5 9 14 20 22 26 29 2 5 9 Ocean Physics Horizontal Maps Central Forecast X X X X X X X X X X X X X X X X X X X X X X X Interactive Forecast X X X X X X X X X X X X X X X X X X X X X X X Vertical Sections Central Forecast X X X X X X X X X X X X X X X X X X X X X X X
MSEAS tidally-forced forecasts initialized from downscaled HYCOMNowcast and Forecast Products
with descriptive dynamics
[Product details]Analyses and Forecasts Issued On February 2024 March 2024 April 2024 7 8 9 10 12 9 14 20 22 26 29 2 5 9 Ocean Physics Horizontal Maps Central Forecast X X X X X X X X X X X X X X Interactive Forecast X X X X X X X X X X X X X X Vertical Sections Central Forecast X X X X X X X X X X X X X X - MSEAS Probabilistic Ocean Forecasts: Physics-balanced stochastic models and ESSE dominant subspace decompositions are used to represent the dominant uncertainties in the initial and boundary conditions for T, S, u, v, w, and eta fields for the HYCOM and Mercator modeling system fields, in the MSEAS model parameters, in the atmospheric surface forcing flux fields, and in the tidal forcing parameters.
Nowcast and Forecast Uncertainty Products
with dynamics descriptionsProbabilistic Analyses and Forecasts Issued On 1.5 kt Velocity Probability February 2024 March 2024 April 2024 9 10 11 13 15 17 29 5 10 15 22 27 3 Probabilistic
Ocean PhysicsHorizontal Maps Mean and Std. Dev. X X X X X X X X X X X X X Interactive Mean and Std. Dev. Forecast X X X X X X X X X X X X X Vertical Sections Mean and Std. Dev. X X X X X X X X X X X X X Hazardous Velocities Statistics X X X X X X X X X X - Mutual Information (MI) Optimal ROCIS Flight Paths: The objective of our optimal path planning is to maximize information about the western wall of the Loop Current (LC) and the associated (cyclonic) eddies.
- Optimal path planning for ROCIS flights: Background Information
- ROCIS Flight Parameter and Range Information
- Summary and Description of Restrictions Applied when Pruning Candidate Flight Paths
- Optimal ROCIS Flight Paths:
Product Verification
FieldWhen we target σT alone we optimize flights for information on the upper-layer eddies of the western wall. When we target σT and velocity we are interested in both the upper-layer eddies of the western wall and the full LC flow.
February 2024 12 14 15* 16 17* 19* 20 Flight paths σT X X X X X X X σT + V X X X Cloud cover X X X X X X X * = Cloudy day
- Glider Planning:
Product April 2024 Stommel Reachability Front Fct 2 5 8 9 0-1000m Avg. Vel. X X X Reachability Analysis Reachable sets and reachability front
X X X X Stommel Glider Pickup X X SG652 Glider Pickup X Reachability Prob. X Gliders in Distress X X X Virtual Gliders X X X Product February 2024 March 2024 14 15 17 29 1 2 3 4 5 6 7 9 10 11 12 13 14 15 16 17 18 20 22 26 29 0-1000m Avg. Vel. X X X X X X X X X X X X Reachability Analysis Reachable sets and reachability front
X X X X X X X X X X X X X X X X X X X X X X Reachability Prob. X X X X X Gliders in Distress X X X X X Virtual Gliders X X X X X - Methods and Systems: The probabilistic MIT-MSEAS Primitive-Equation (PE) ocean modeling system is utilized in real-time to provide ocean forecasts in the region. The modeling system was set-up in an implicit 2-way nesting configuration (1/12.5° resolution Gulf domain and 1/37.5° resolution process domains). The ocean forecasts are initialized from HYCOM or Mercator, downscaled to higher resolution and updated with ocean data from varied open sources of opportunity (ARGO floats, gliders, SST, etc.). Ensemble forecasts are initialized using ESSE procedures. These ocean simulations are forced by atmospheric flux fields forecast by the Global Forecast System (GFS) 0.25° or the North American 12km Model (NAM) from the National Centers for Environmental Prediction (NCEP) and by tidal forcing from TPXO8, but adapted to the bathymetry and coastlines. For ESSE probabilistic forecasts, initial conditions, model parameters, boundary conditions, atmospheric forcing and tidal forcing amplitudes and phases, are all perturbed according to their respective uncertainties.
- MIT-MSEAS PE Forecast skill: MSEAS forecasts compared with observed data
Forecast
Issue DateMSEAS Fct.
downscaled from X (MSEAS-X)Data dates Feb 7 MSEAS-HYCOM Feb06 Feb07 MSEAS-Mercator Feb06 Feb07 Feb 8 MSEAS-Mercator Feb07 Feb08 Feb 9 MSEAS-HYCOM Feb07 Feb08 Feb09 MSEAS-Mercator Feb07 Feb08 Feb09 Feb 10 MSEAS-HYCOM Feb08 Feb09 Feb10 MSEAS-Mercator Feb08 Feb09 Feb10 MSEAS Probabilistic Fcts Feb08 Feb09 Feb10 Feb 11 MSEAS-Mercator Feb10 Feb11 MSEAS Probabilistic Fcts Feb10 Feb11 Feb 13 MSEAS-Mercator Feb12 Feb13 MSEAS Probabilistic Fcts Feb11 Feb12 Feb 14 MSEAS-Mercator Feb13 Feb14 Feb 15 MSEAS-Mercator Feb14 Feb15 MSEAS Probabilistic Fcts Feb13 Feb14 Feb15 Feb 17 MSEAS-Mercator Feb16 Feb17 MSEAS Probabilistic Fcts Feb16 Feb17 Feb18 Feb19 Feb20 Feb21 Feb 29 MSEAS-Mercator Feb28 Feb29 Mar 02 MSEAS-Mercator Mar01 Mar02 Mar 05 MSEAS-Mercator Mar03 Mar04 MSEAS Probabilistic Fcts Mar03 Mar04 Mar05 Mar 09 MSEAS-HYCOM Mar08 Mar09 MSEAS-Mercator Mar08 Mar09 Mar 10 MSEAS Probabilistic Fcts Mar08 Mar09 Mar10 Mar 14 MSEAS-HYCOM Mar13 Mar14 MSEAS-Mercator Mar13 Mar14 Mar 15 MSEAS Probabilistic Fcts Mar13 Mar14 Mar15 Mar 20 MSEAS-HYCOM Mar18 Mar19 Mar20 MSEAS-Mercator Mar18 Mar19 Mar20 Mar 22 MSEAS-HYCOM Mar21 Mar22 MSEAS-Mercator Mar21 Mar22 MSEAS Probabilistic Fcts Mar18 Mar19 Mar20 Mar21 Mar 26 MSEAS-HYCOM Mar25 Mar26 MSEAS-Mercator Mar25 Mar26 Mar 27 MSEAS Probabilistic Fcts Mar25 Mar26 Mar27 Mar 29 MSEAS-HYCOM Mar28 Mar29 MSEAS-Mercator Mar28 Mar29 Apr 02 MSEAS-HYCOM Apr01 Apr02 MSEAS-Mercator Apr01 Apr02 Apr 03 MSEAS Probabilistic Fcts Apr01 Apr02 Apr03 Apr 05 MSEAS-HYCOM Apr04 Apr05 MSEAS-Mercator Apr04 Apr05 Apr 09 MSEAS-HYCOM Apr08 Apr09 MSEAS-Mercator Apr08 Apr09 - MSEAS-Processed Data
- Summary of all available data of opportunity:
- Summary by type: January 1 to present
- Locations with time: January 1 to present | February 1 to present
- ARGO: January 1 to present
- SeaGliders and Slocum Gliders, Location and profile summary: January 1 to present | March only | April only
- NDBC SST Buoys: January 1 to present
- SST (GHRSST MODIS, from PO.DAAC): January 1 to present
- SSH (January 1 to present):
- AVISO (NRT multi-satellite imagery): Along-Track ADT | Gridded ADT (0.25° resolution)
- SWOT NRT Nadir Altimeter ADT
- Summary of all available data of opportunity:
- MSEAS-processed atmospheric forcing flux forecasts:
NCEP NAM 12km January/February 2024 Daily average wind stress, E-P, heat flux, and SW Radiation (from 0Z forecast each day) Flux snapshot plots
(one 84-hr fct/day)X X X X X X X X X X X X X X X X X X X X X X X X X X Fct snapshot plots
(Four 6-hour fcsts/day)31 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 NCEP NAM 12km March 2024 Daily average wind stress, E-P, heat flux, and SW Radiation (from 0Z forecast each day) Flux snapshot plots
(one 84-hr fct/day)X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X Fct snapshot plots
(Four 6-hour fcsts/day)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 NCEP NAM 12km April 2024 Daily average wind stress, E-P, heat flux, and SW Radiation (from 0Z forecast each day) Flux snapshot plots
(one 84-hr fct/day)X X X X X X X X X X X X X X X X X X X X Fct snapshot plots
(Four 6-hour fcsts/day)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
NCEP GFS 0.25° January/February 2024 Daily average wind stress, E-P, heat flux, and SW Radiation (from 0Z forecast each day) Flux snapshot plots
(one 6-day fct/day)X X X X X X X X X X X X X X X X X X X X X X X X X X Fct snapshot plots
(Four 6-hour fcsts/day)31 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 NCEP GFS 0.25° March 2024 Daily average wind stress, E-P, heat flux, and SW Radiation (from 0Z forecast each day) Flux snapshot plots
(one 6-day fct/day)X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X Fct snapshot plots
(Four 6-hour fcsts/day)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 NCEP GFS 0.25° April 2024 Daily average wind stress, E-P, heat flux, and SW Radiation (from 0Z forecast each day) Flux snapshot plots
(one 6-day fct/day)X X X X X X X X X X X X X X X X X X X X Fct snapshot plots
(Four 6-hour fcsts/day)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 - Woods Hole Group Mapper
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Data sources
- Initialization and BCs
- Ocean synoptic
- Ocean historical/climatological
- Data sets and products NOAA National Centers for Environmental Information
- World Ocean Database (WOD)
- Data sets and products NOAA National Centers for Environmental Information
- Atmospheric forcing
- Weather Research and Forecasting (WRF) Model Real-Time Forecasts
- National Centers for Environmental Prediction (NCEP) products:
- Global Forecast System Model: version 4 (GFS), at 0.5 degree resolution (GFSp5) and also at 0.25 degree resolution (GFSp25)
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