A5050373352- Oceanographic and Atmospheric Processes
- Climate variability and models
- Meteorological Phenomena and Simulations
- Marine and coastal ecosystems
- Arctic and Antarctic ice dynamics
- Underwater Acoustics Research
- Marine and fisheries research
- Ocean Waves and Remote Sensing
- Reservoir Engineering and Simulation Methods
- Tropical and Extratropical Cyclones Research
- Geophysics and Gravity Measurements
- Underwater Vehicles and Communication Systems
- Veterinary Oncology Research
- Microbial infections and disease research
- Scientific Research and Discoveries
- Ocular Oncology and Treatments
- Geology and Paleoclimatology Research
- Ocean Acidification Effects and Responses
- Veterinary Practice and Education Studies
- Maritime Navigation and Safety
- Atmospheric and Environmental Gas Dynamics
- Spacecraft and Cryogenic Technologies
- Geological formations and processes
- Advanced Computational Techniques and Applications
- Zoonotic diseases and public health
Stennis Space Center
2008-2024
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute
2022
United States Naval Research Laboratory
2002-2015
K Lab (United States)
2015
United States Navy
2004-2014
United States Department of the Navy
2004-2014
Naval Research Laboratory Ocean Sciences Division
2010
Mississippi State University
2002
University of Southern Mississippi
2002
Florida State University
2002
The Modular Ocean Data Assimilation System (MODAS) is used by the U.S. Navy for depiction of three-dimensional fields temperature and salinity over global ocean. MODAS includes both a static climatology dynamic climatology. While represents historical averages, assimilates near-real-time observations sea surface height provides improved fields. methodology construction described here. compared with Levitus Generalized Digital Environmental Model climatologies profiles measured SeaSoar in...
NLOM grid, these resolutions translate to 1 ⁄16 °, ⁄32 °and ⁄64 respectively.This is for the global and basin-scale.Much finer resolution required coastal regions.At 3.5 km, optimal than might be
The spatial length, time, and propagation characteristics of the ocean mesoscale variability are examined throughout globe. Sea surface height (SSH) variations from a combination Geosat Exact Repeat Mission, ERS‐1, ERS‐2, TOPEX/Poseidon altimeter satellites used to compute observed covariance mesoscale. is defined as residual SSH after removing filtered large‐scale having length scales greater than 750 km zonally 250 meridionally. From binned function, an objective analysis computes...
Abstract A ⅛° global version of the Navy Coastal Ocean Model (NCOM), operational at Naval Oceanographic Office (NAVOCEANO), is used for prediction sea surface height (SSH) on daily and monthly time scales during 1998–2001. simulations that use 3-hourly wind thermal forcing obtained from Operational Global Atmospheric Prediction System (NOGAPS) are performed with/without data assimilation to examine indirect/direct effects atmospheric in predicting SSH. Model–data evaluations using extensive...
The impact of global Navy Layered Ocean Model (NLOM) sea surface height (SSH) on Coastal (NCOM) nowcasts ocean currents is investigated in a series experiments. studies focus two primary aspects: the role NLOM horizontal resolution and differences between SSH means Modular Data Assimilation System (MODAS) climatology. To evaluate changes to assimilation system, we compare observed drifter trajectories with simulated using NCOM over 7‐day timescales. results indicate general improvement as...
The accuracy of wind speed at 10 m above the sea surface from two satellite and three numerical weather prediction (NWP) products is investigated over global ocean. Rain‐free equivalent neutral winds Quick Scatterometer (QuikSCAT) are converted to stability‐dependent be consistent with those NWP taken as truth in comparisons other products. Quantitative statistical analyses presented each grid point ocean reveal that monthly have almost perfect skill relative QuikSCAT during 3‐year common...
We characterize the global ocean seasonal variability of temperature versus salinity gradients in transition layer just below mixed using observations conductivity and depth profiling float data from National Ocean Data Center's World set. The balance these determines control at (MLD). define MLD as shallowest isothermal, isohaline, isopycnal depths (ITLD, IHLD, IPLD), each with a shared dependence on 0.2°C offset. are gridded monthly variational technique that minimizes squared analysis...
Abstract. The relation between the Agulhas Current retroflection location and magnitude of leakage, transport water from Indian to Atlantic Ocean, is investigated in a high-resolution numerical ocean model. Sudden eastward retreats loop are linearly related shedding rings, where larger generate rings. Using Lagrangian floats 37 year time series leakage model constructed. exhibits large amounts variability, both on weekly annual scales. A linear found retroflection, binned three month...
N misst the multi-seNsor imProVeD sea surfaCe temPerature ProJeCt Oceanography Vol.22,No.2 76 aBstr aCt.Sea surface temperature (SST) measurements are vital to global weather prediction, climate change studies, fisheries management, and a wide range of other applications.Measurements taken by several satellites carrying infrared microwave radiometers, moored buoys, drifting ships.Collecting all these together producing maps SST has been difficult endeavor due in part different data formats,...
Daily 1/8° global fields of sea surface temperature (SST), operationally produced by the Modular Ocean Data Assimilation System (MODAS), are presented. Production using a combination optimal interpolation and climatologically corrected persistence balances eddy‐resolving spatial daily temporal resolution with improved transitions in time space across cloud‐obscured regions to eliminate data voids. Hindcast reanalysis has consistently extended complete MODAS SST coverage from 1993 present. In...
Through a comprehensive analysis, reliability of 10 m wind speeds is presented near the land‐sea boundaries over global ocean. Winds from three numerical weather prediction (NWP) centers and two satellite‐based products are analyzed. NWP 1.875° × National Center Environmental Prediction reanalyses, 1.125° European Centre for Medium‐Range Weather Forecasts 40‐year Reanalysis (ERA‐40), 1.0° Navy Operational Global Atmospheric System (NOGAPS) operational product. These compared to much finer...