# Project 0000 — Ocean Wrfghtg Env Applied Res

**Program element:** 0602435N — Ocean Wrfghtg Env Applied Res  
**Project:** 0000  
**Component:** U.S. Navy  
**Appropriation:** 1319 — RDT&E, Navy  
**Budget Activity:** 2 — Applied Research  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0602435N/0000  
**Parent:** https://hitchintel.com/programs/0602435N

## Summary

Project 0000 — Ocean Wrfghtg Env Applied Res requests $64.7M in FY2027, 100% of the $64.7M requested for program element 0602435N, down 20% on FY2026. 6 R-2A activities decompose the request.

## Funding profile

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 78.0 |
| FY2026 | Enacted | 81.3 |
| FY2027 | Request | 64.7 |
| FY2028 | Outyear | 67.9 |
| FY2029 | Outyear | 69.6 |
| FY2030 | Outyear | 68.6 |
| FY2031 | Outyear | 69.4 |

> Estimate types are not summed. This project is one leaf of PE 0602435N; the PE total is the sum of its projects, never added to them.

## What project 0000 buys

This project provides the foundational environmental knowledge for undersea, surface and air-based warfighting technologies and effective operations anywhere on the globe, as well as the operation of unattended sensors and unmanned air, surface and underwater vehicles. This project includes the Navy contribution to broader federal research such as the National Oceanographic Partnership Program (NOPP), efforts aimed at understanding and predicting the impacts of underwater sound on Marine species, and efforts to improve extended range environmental prediction through coupled Earth system models. Major efforts of this project are devoted to gaining real-time knowledge of the Battlespace Environment (BSE), understanding the variability between processes in the world's ocean, atmosphere and coastal regions, and providing the on-scene commander with the capability to exploit the environment to tactical, operational, and strategic advantage. Research results are transitioned to the Fleet Numerical Meteorology and Oceanography Center and to the Naval Oceanographic Office where they are used to provide timely information about the natural environment for all fleet operations. Efforts include ocean and atmospheric analysis and prediction for real-time description of the operational environment from near space to the sub-seafloor, shallow water acoustics, sensors for undersea surveillance and weapon systems, and influences of the natural environment on Mine Countermeasures, Naval Mining, Anti-Submarine Warfare (ASW), Information Warfare, and Naval Special Warfare systems.

## Activities (R-2A) — 6

| Activity | FY2025 | FY2026 | FY2027 | Move | Page |
|---|---|---|---|---|---|
| Marine Meteorology | 19.0 | 25.1 | 26.7 | +6% | [a2](https://hitchintel.com/programs/0602435N/0000/a2) |
| Task Force Ocean (formerly Ocean Acoustics) | 26.8 | 24.1 | 19.2 | −20% | [a4](https://hitchintel.com/programs/0602435N/0000/a4) |
| National Oceanographic Partnership Program (NOPP) | 8.8 | 8.9 | 5.9 | −34% | — |
| Coastal Geosciences/Optics | 9.4 | 9.2 | 5.7 | −38% | — |
| Physical Oceanography | 10.6 | 10.4 | 4.7 | −55% | — |
| Marine Biology | 3.5 | 3.5 | 2.5 | −30% | — |

> Activities carry the prior, current and budget year only — no five-year plan. In the request year they partition this project exactly; in earlier years they can under-cover it.

### Marine Meteorology

- Continue the development of new decision aids that take weather and extremes into account for improved ship routing, fuel efficiency, and bases and infrastructure protection and optimization. - Continue collection of field observations; quality control and process-oriented analyses; and development of data assimilation and modeling…

Full year-by-year narrative: https://hitchintel.com/programs/0602435N/0000/a2

### Task Force Ocean (formerly Ocean Acoustics)

- Continue Atlantis II modeling and data analysis efforts that focus on improved understanding of the complex relationships amongst a large number of ocean processes and variables that include sound propagation, ambient sound, ocean and atmosphere physical processes, and biological communities. The objectives to achieve include…

Full year-by-year narrative: https://hitchintel.com/programs/0602435N/0000/a4

### National Oceanographic Partnership Program (NOPP)

**FY2027 planned work.** - Continue National Oceanographic Partnership Program (NOPP) to focus topics of interest to multiple federal agencies that share ocean-related missions and are effectively investigated via partnerships. Topics include ocean, atmosphere, and coastal dynamical process studies; development of sensors, communications, and data acquisition approaches and methodologies for ocean research; modernization of ocean research and observation infrastructure; and studies of soundscapes in the ocean related to marine mammal research. - Continue Oceanographic Observations and Modeling studies focused on model verification, constraint of boundary conditions and fluxes of mass, heat and momentum across them (air-sea, deep ocean-seabed, land-sea), and responses to storm and / or persistent forcing. - Continue Space Based Sensors effort for the development and utilization of small space-based sensors for oceanographic and atmospheric dynamics research. Next Generation Oceanographic sensors: - Continue development of miniaturized, low-power, next generation sensors for ocean measurements including soft materials. - Continue investigation of global internal waves, model, theory and observation, from genesis or source to sink, using all available assets from in situ to space-based. - Complete hurricane coastal impact forecasting, including space-based remote sensing for multi-dimensional digital elevation models, suitable to initialize and ground-truth forecasts. -Initiate coupled ocean-atmosphere investigations, both deterministic and AI/ML, emphasizing utilization of ensemble forecasts of regional seas leveraging the earth system prediction capability. -Initiate studies of meso-scale and sub-mesoscale ocean circulation at scale, pairing large numbers of upper ocean profiling sensors and platforms and ocean surface signature evolution from satellite modalities; to enable forecasting, traditionally or with AI/ML techniques, the subsurface ocean evolution solely from satellite observations.

**FY2026 to FY2027 change.** Funding decrease from FY 2026 to FY 2027 is due reduced research in hurricane coastal impact forecasting, including space-based remote sensing for multi-dimensional digital elevation models, suitable to initialize and ground-truth forecasts.

**FY2026 plans — current year.** - Continue National Oceanographic Partnership Program (NOPP) to focus topics of interest to multiple federal agencies that share ocean-related missions and are effectively investigated via partnerships. Topics include ocean, atmosphere, and coastal dynamical process studies; development of sensors, communications, and data acquisition approaches and methodologies for ocean research; modernization of ocean research and observation infrastructure; and studies of soundscapes in the ocean related to marine mammal research. - Continue Oceanographic Observations and Modeling studies focused on model verification, constraint of boundary conditions and fluxes of mass, heat and momentum across them (air-sea, deep ocean-seabed, land-sea), and responses to storm and / or persistent forcing. - Continue Space Based Sensors effort for the development and utilization of small space-based sensors for oceanographic and atmospheric dynamics research. - Next Generation Oceanographic sensors: Continue development of miniaturized, low-power, next generation sensors for ocean measurements including soft materials. - Continue hurricane coastal impact forecasting, including space-based remote sensing for multi-dimensional digital elevation models, suitable to initialize and ground-truth forecasts. - Continue investigation of global internal waves, model, theory and observation, from genesis or source to sink, using all available assets from in situ to space-based.

### Coastal Geosciences/Optics

**FY2027 planned work.** -Continue Satellite Based Sensing to improve the world's global bathymetry map from satellite data. Specific new efforts will utilize ICESAT for shoreline digital elevation models and connect with new investigations and methods extending altimetry-based seabed models up onto the continental shelves. -Continue Satellite Based Sensing to improve the world's global bathymetry map from satellite data. Specific new efforts will utilize ICESAT for shoreline digital elevation models and connect with new investigations and methods extending altimetry-based seabed models up onto the continental shelves. Continue efforts focused on determining bathymetry from satellite based-remote sensing for shallow muddy and turbid waters. -Continue to conduct research into exploiting various geoscience and optical environmental phenomena in the littoral ocean that will be investigated to develop a novel remote sensing technology by exploring advanced machine learning methods for multi-spectral (optical and passive microwave) satellite observations. This will provide a high-resolution, holistic land surface analysis of surface vegetation and soil parameters and quantify their impact on Numerical Weather Prediction (NWP) models. -Continue to build capabilities to predict topographic changes in sandy, coastal environments impacting traffic capability. - Continue efforts focused on determining bathymetry from satellite based-remote sensing for shallow muddy and turbid waters. - Continue research into exploiting various geoscience and optical environmental phenomena in the littoral ocean investigate and develop a novel remote sensing technology by exploring advanced machine learning methods for multi- spectral (optical and passive microwave) satellite observations to provide a high-resolution, holistic land surface analysis of surface vegetation and soil parameters and quantify their impact on numerical weather prediction (NWP) models. - Complete Inner Shelf Processes studies of non-hydrostatic modeling of inner shelf processes, including internal waves and fronts. Initiate a systematic study of biases introduced into the inner shelf sea-surface-temperature field by the global ocean and atmospheric models. - Continue Remote Sensors optimization studies of adaptive sampling in the littorals using small unmanned platforms (air, surface, submerged). - Continue Optics studies of underwater image prediction. - Continue Sonar technology development to observe and map bottom currents and bathymetry from drifting, bottom- following sensors. - Continue to build capabilities to predict topographic changes in sandy, coastal environments impacting traffic capability. -Continue to focus on the development of suitable atmospheric correction, calibration, and optical inversion algorithm methods for the emerging and rapidly growing nano and microsatellite technologies. -Continue research to predict physical, geological, geochemical, geo-acoustic and geotechnical properties of the seafloor and coast.

**FY2026 to FY2027 change.** Funding decrease from FY 2026 to FY 2027 due to reduced research in inner Shelf Processes studies of non-hydrostatic modeling of inner shelf processes.

**FY2026 plans — current year.** - Continue Satellite Based Sensing to improve the world's global bathymetry map from satellite data. Specific new efforts will utilize ICESAT for shoreline digital elevation models and connect with new investigations and methods extending altimetry-based seabed models up onto the continental shelves. - Continue efforts focused on determining bathymetry from satellite based-remote sensing for shallow muddy and turbid waters. - Continue research into exploiting various geoscience and optical environmental phenomena in the littoral ocean investigate and develop a novel remote sensing technology by exploring advanced machine learning methods for multi- spectral (optical and passive microwave) satellite observations to provide a high-resolution, holistic land surface analysis of surface vegetation and soil parameters and quantify their impact on numerical weather prediction (NWP) models. - Continue Satellite Based Sensing to improve the world's global bathymetry map from satellite data. Specific new efforts will utilize ICESAT for shoreline digital elevation models and connect with new investigations and methods extending altimetry-based seabed models up onto the continental shelves. Continue efforts focused on determining bathymetry from satellite based-remote sensing for shallow muddy and turbid waters. - Continue Inner Shelf Processes studies of non-hydrostatic modeling of inner shelf processes, including internal waves and fronts. Initiate a systematic study of biases introduced into the inner shelf sea-surface-temperature field by the global ocean and atmospheric models. - Continue Remote Sensors optimization studies of adaptive sampling in the littorals using small unmanned platforms (air, surface, submerged). - Continue Optics studies of underwater image prediction. -Continue research to predict physical, geological, geochemical, geo-acoustic and geotechnical properties of the seafloor and coast - Continue Sonar technology development to observe and map bottom currents and bathymetry from drifting, bottom- following sensors. - Continue to build capabilities to predict topographic changes in sandy, coastal environments impacting traffic capability. - Continue to conduct research into exploiting various geoscience and optical environmental phenomena in the littoral ocean that will be investigated to develop a novel remote sensing technology by exploring advanced machine learning methods for multi-spectral (optical and passive microwave) satellite observations. This will provide a high-resolution, holistic land surface analysis of surface vegetation and soil parameters and quantify their impact on Numerical Weather Prediction (NWP) models. - Continue to build capabilities to predict topographic changes in sandy, coastal environments impacting traffic capability. -Continue to focus on the development of suitable atmospheric correction, calibration, and optical inversion algorithm methods for the emerging and rapidly growing nano and microsatellite technologies. - Initiate research to predict physical, geological, geochemical, geo-acoustic and geotechnical properties of the seafloor and coast

### Physical Oceanography

**FY2027 planned work.** - Continue efforts into investigating new techniques and capabilities to improve our ability to handle large amounts of ocean data (including SWOT altimetry data) available in the near future for assimilation into analysis and forecast systems. This includes translating the data assimilation problem to wavelet space in order to accurately correct the model background while largely retaining the realistic fractal dynamics generated by the model physics and the sparsification of covariance matrices. - Continue to model/simulate ocean current variability, including the deep ocean boundary providing improved ocean environmental information for Seabed Warfare. Model / simulate high-resolution coupled wave-circulation-sediment transport on multiple timescales including storm event and seasonal timescales providing the capability to estimate environmental conditions in shallow water. - Continue Sensors effort to conduct testing and integration of turbulence sensors and other ocean oceanographic sensors into unmanned platforms to expand ocean sampling capabilities. Continue development of autonomous sensors and platforms for use in the Arctic ocean environment. Continue field campaigns to study ocean processes and dynamics, ocean model development, and data assimilation from the open ocean to the nearshore environments. Continue to conduct studies to develop new or enhance existing shipboard, in-situ, airborne, and space borne sensors and appropriate inversion and through the sensor techniques to obtain physical oceanographic environmental data. - Continue Data Assimilation development to coupled modeling approaches including air-ice-wave- ocean-land models. - Continue Earth System Prediction Models development of the capability to utilize Earth System Prediction Models to forecast the global ocean using ensemble prediction methods to enable risk assessment with skill to 30 days. - Continue Ocean Battlespace efforts to develop a new capability for accurate and rapid characterization of the local ocean battlespace utilizing the ability of gliders to work in coordinated teams and 4-dimensional variation assimilation to maximize impact of the glider data in a high-resolution local forecast model for more accurate ocean predictions. - Continue Task Force Ocean research coordinated with Task Force Ocean including efforts to develop new and enhance existing shipboard, in-situ, airborne, and space-borne sensors, appropriate inversion methods, and through the sensor techniques to obtain physical oceanographic environmental data in conjunction with acoustical observations.

**FY2026 to FY2027 change.** Funding decrease from FY 2026 to FY 2027 is due to reduced research in Earth System Prediction Models development and Data Assimilation development to coupled modeling approaches including air-ice-wave- ocean-land models.

**FY2026 plans — current year.** - Continue efforts into investigating new techniques and capabilities to improve our ability to handle large amounts of ocean data (including SWOT altimetry data) available in the near future for assimilation into analysis and forecast systems. This includes translating the data assimilation problem to wavelet space in order to accurately correct the model background while largely retaining the realistic fractal dynamics generated by the model physics and the sparsification of covariance matrices. - Continue to model/simulate ocean current variability, including the deep ocean boundary providing improved ocean environmental information for Seabed Warfare. Model / simulate high-resolution coupled wave-circulation-sediment transport on multiple timescales including storm event and seasonal timescales providing the capability to estimate environmental conditions in shallow water. - Continue Sensors effort to conduct testing and integration of turbulence sensors and other ocean oceanographic sensors into unmanned platforms to expand ocean sampling capabilities. Continue development of autonomous sensors and platforms for use in the Arctic ocean environment. Continue field campaigns to study ocean processes and dynamics, ocean model development, and data assimilation from the open ocean to the nearshore environments. Continue to conduct studies to develop new or enhance existing shipboard, in-situ, airborne, and space borne sensors and appropriate inversion and through the sensor techniques to obtain physical oceanographic environmental data. - Continue Data Assimilation development to coupled modeling approaches including air-ice-wave- ocean-land models. - Continue Earth System Prediction Models development of the capability to utilize Earth System Prediction Models to forecast the global ocean using ensemble prediction methods to enable risk assessment with skill to 30 days. - Continue Ocean Battlespace efforts to develop a new capability for accurate and rapid characterization of the local ocean battlespace utilizing the ability of gliders to work in coordinated teams and 4-dimensional variation assimilation to maximize impact of the glider data in a high-resolution local forecast model for more accurate ocean predictions. - Continue Task Force Ocean research coordinated with Task Force Ocean including efforts to develop new and enhance existing shipboard, in-situ, airborne, and space-borne sensors, appropriate inversion methods, and through the sensor techniques to obtain physical oceanographic environmental data in conjunction with acoustical observations.

### Marine Biology

**FY2027 planned work.** - Continue Sound Effects Modeling research to quantify the behavioral and physiological effects on individual and population- level consequences of sound exposure on marine life. - Complete Marine Mammal research to design equipment and capability to quantify the gas management and kinetics in marine species to elucidate the mechanisms that enable marine animals to dive to deep depths. - Continue Sonar Exposure research into the stress response of marine species to sonar exposure, with an emphasis on quantifying the effects of prolonged exposure effects on immune system suppression, reproductive failure, accelerated aging, and slowed growth. - Continue marine species behavior research on potential effects of Navy sources on marine mammal behavior, life functions, vital rates, and population level effects - Continue to conduct research on Sound Reception Mechanisms in whales to advance our understanding of sound reception mechanisms in large whales including the anatomy surrounding the ear and the whole head. Continue development of models and tools to link behavioral, physiological and population-level effects of disturbance in comprehensive model framework to understand single stressor population level effects in demonstration populations Continue development of methods, tools, and databases for data integration/fusion to provide new insight into marine species

**FY2026 to FY2027 change.** Funding decrease from FY 2026 to FY 2027 is due to reduced research in Marine Mammal research to design equipment and capability to quantify the gas management and kinetics in marine species to elucidate the mechanisms that enable marine animals to dive to deep depths.

**FY2026 plans — current year.** - Continue Sound Effects Modeling research to quantify the behavioral and physiological effects on individual and population- level consequences of sound exposure on marine life. - Continue Marine Mammal research to design equipment and capability to quantify the gas management and kinetics in marine mammals to elucidate the mechanisms that enable marine mammals to dive to deep depths. - Continue to conduct research on Sound Reception Mechanisms in whales to advance our understanding of sound reception mechanisms in large whales including the anatomy surrounding the ear and the whole head. - Continue Sonar Exposure research into the stress response of marine mammals to sonar exposure, with an emphasis on quantifying the effects of prolonged exposure effects on immune system suppression, reproductive failure, accelerated aging, and slowed growth. - Initiate development of models and tools to link behavioral, physiological and population-level effects of disturbance in comprehensive model framework to understand single stressor population level effects in demonstration populations - Initiate development of methods, tools, and databases for data integration/fusion to provide new insight into marine species - Continue Marine Mammal Behavior research on potential effects of Navy sources on marine mammal behavior, life functions, vital rates, and population level effects

## What is NOT on this page

Congressional marks, the R-2 mission description and acquisition strategy, the industry vs government split of the whole request, and related program elements are recorded at **program-element** grain — an NDAA mark lands on a PE, never on a project. They are at https://hitchintel.com/programs/0602435N.

## Source & machine access

- **Source:** FY2027 Department of the Navy RDT&E Budget Justification, Exhibits R-2/R-2A/R-3, PE 0602435N project 0000 (PB PB2027).
- **MCP:** `mcp.hitchintel.com` — `budget_get_program_element(pe="0602435N")`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*