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Meteorologist- Research Scientist Mid Level

Job ID: 2205882
Location: MONTEREY, CA, United States
Date Posted: May 13, 2022
Category: Engineering and Sciences
Subcategory: Research Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: Yes
Benefits: Click here

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Job Description

Description

SAIC is looking for a Mid-level Research Scientist- Meteorology to join our team.

  This is a Remote position and may be worked from anywhere in the United States

Job Description:

The candidate will serve as a member of an atmospheric sciences research and development (R&D) team for the US Navy Research Laboratory (NRL) Marine Meteorology Division in Monterey, CA that develops advanced Meteorology and Oceanography (METOC) support products for the US Navy.  

Applicant will perform work in one or more of the following NRL research areas: 

Global and mesoscale Numerical Weather Prediction (NWP); coupled modeling of the atmosphere, ocean, waves, and ice; global and mesoscale ensemble prediction systems; and global and mesoscale data assimilation (DA).

Global NWP task and responsibilities include, but are not limited to:

  • Assist in global NWP Model spiral development using the Navy Global Environmental Model (NAVGEM) or other global forecast models’.
  • Assist in real-time testing of NAVGEM or other global models, and their associated DA systems, on Defense Supercomputing Resource Center (DSRC) hardware and local and cloud-based High Performance Computing (HPC) platforms.
  • Assist in developing code and scripts for NAVGEM or other global model Ensemble Prediction System (EPS).  Improve EPS performance by increasing the resolution of the system, multiple physics packages, perturbation of physical parameters, and alternative ensemble construction and initialization methods.
  • Assist in examining the metrics of specific METOC phenomenon of high interest to the US Navy, such as the frequency of occurrence of high-speed near surface winds, and larger-scale teleconnection phenomenon, such as the Madden Julian Oscillation (MJO). 
  • Assist in investigating and evaluating the representation of the MJO in NAVGEM or other global models and assess the correspondence between clouds, radiation and precipitation.
  • Assist in developing an execution strategy to migrate global model software code between various HPC architectures.
  • Assist in developing flexible best practices for real-time data transfer of METOC observations, and post processing of data staging strategies to maximize the HPC compute cycle to minimize wasted cycles or storage space.
  • Assist in using the Navy Earth System Model (NESM) or other global coupled forecast models to conduct earth system prediction research and contribute to coupled global model spiral development.
  • Assist in developing code and scripts to enable and optimize the coupling and running of the components (atmosphere, ocean, ice, and wave) systems in NESM or other global coupled system using the Earth System Modeling Framework (ESMF) and National Unified Operational Prediction Capability (NUOPC) standard.

Mesoscale NWP tasks include, but are not limited to:

  • Assist in developing numerical analysis and prediction techniques for both the current Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) and future DoD mesoscale NWP systems. Includes physical parameterizations, advanced numerical techniques, land-surface modeling, and ensemble prediction systems and includes work with: 1) coupled mesoscale oceanic and atmospheric models, 2) Quality control (QC) and ingest of evolving non-conventional data merged with conventional data, 3) a new paradigm of NWP forecast verification that emphasizes subjective material, feature recognition, and metrics to quantify the probability of occurrence, and 4) innovative approaches and techniques to advance the connectivity of Navy users with NRL R&D resources.
  • Contributing to developing the next-generation NEPTUNE modeling system.  Using NEPTUNE or other next-generation dynamical cores to conduct global and regional-scale NWP research and contribute to Global and Mesoscale Model spiral development.
  • Assist in Developing a Mesoscale Atmosphere-Ocean-Wave-Ice-Hydrology Coupling Capability.  Includes testing and evaluating the Simulating Waves Nearshore (SWAN) versus Wave Watch III (WW III) models in 3-way coupled systems, to include: 1) initialization, 2) lateral boundary condition update, and 3) optimization and efficiency. Testing and evaluating the impacts of atmosphere-ocean coupling in lower atmosphere and upper ocean boundary-layer structure for long-term DA tests
  • Assist in merging the current and future COMAPS for Tropical Cyclones (COAMPS-TC®) code with the main COAMPS code.  Performing benchmark tests and making new COAMPS-TC versions fully compliant with NRL and FNMOC coding standards. Testing new improvements to the data assimilation and TC vortex initialization and evaluate its impact on TCs to improve COAMPS-TC in both physics parameterization and in validation of its predictions.

DA System Development tasks include, but are not limited to:

  • Assist in developing a new DA system using a collection of flexible-state estimation techniques that uses ensemble forecasts to estimate flow-dependent background error covariance or other probabilistic aspects of the background forecast. May be an ensemble-based system like the ensemble Kalman filter (EnKF). 
  • Assist in developing a hybrid ensemble-variational scheme.
  • Assist in developing flexible computing and network architectures to implement and test global and other DA system at remote DSRC and HPC centers.
  • Assist in developing non-traditional DA tools that are compatible with the NRL Atmospheric Variational Data Assimilation System (NAVDAS) – Advanced Representer (NAVDAS-AR) or other advanced DA systems.  DA tools include: 1) data ingest, QC, processing the background fields, generation of observation error statistics, production of the linearized forward operators, and formation of the innovation vectors; 2) sorting of the innovations into prisms, specification of the background error covariance, the descent algorithm, the post-multiplier, use of the linearized forward operators, production of the correction vectors, the buddy check algorithm, and parallel implementation using Message Passing Interface (MPI); and 3) interpolation of the correction field to the model surfaces, mean sea level pressure, and other sub-terrain problems; production of statistics for the NWP models; and controlling the forecast and analysis cycle.
  • Assist in developing satellite data fusion applications products to support NRL Satellite Tactical Application project objectives, including research related to GeoIPS or other systems that could include data manipulation and fusion, digital image analysis, algorithm development, system design, and fusion of satellite data with other types of environmental data such as NWP model data.  
  • Assist in developing a coupled DA method for an atmosphere-ocean-ice-wave-land coupled system.
  • Developing satellite DA assimilation capabilities for NWP models for observations from various satellite sensors, including radiances from visible, IR and microwave (MW) radiometers, radio occultation  profiles and reflectivity from the Global Navigation Satellite System (GNSS-RO and GNSS-R), ozone and aerosol measurements, atmospheric motion vector (AMV) and ocean surface winds, and cloud properties from satellite sensors.

Assist in developing tools and techniques for  ingesting data from new satellite sensors by: 1) demonstrating new remote sensing sensor capabilities by using near real-time data sets, 2) demonstrating the data processing capability by testing the navigation of the new sensor data and calibration of the new sensor data, 3) demonstrating the sensor data meets the designed specifications through testing and validating the navigation and calibration data processing capability, and 4) conducting extensive testing, validation and tuning for eventual transition to

Qualifications

Qualifications

Required Education and Experience:

  • Bachelors degree in Meteorology, Oceanography, Physical Science, Computer Science, or in a related Mathematics and Engineering fields and two (2) or more years experience; four (4) years accepted in lieu of degree
  • Minimum Clearance Required: Interim Secret with the ability to obtain and maintain Active Secret clearance
  • NWP Focus: Must be a co-developer of global and/or mesoscale NWP models and scripting for the management of job submission and data processing tasks, including error handling; provide recommendations to team lead for resolution of research issues related to global and/or mesoscale modeling problems; parallel processing computing experience.
  • DA Focus: Must be a co-developer of global and/or mesoscale analysis or data assimilation software and scripting for the management of job submission and data processing tasks, including observation data handling and error handling; provide recommendations to team lead for resolution of research issues related to global and/or mesoscale DA problems.
  • Must have demonstrable report writing experience.
  • Must have demonstrable data processing experience.

Desired Skills:

  • Experience with a combination of FORTRAN, C, C++, or Java, and scripting programming languages using the LINUX operating system.
  • Experience publishing peer-reviewed scientific literature, software documentation, climatology, guidebooks and/or handbooks.
  • High Performance Computing (HPC) experience.

Target salary range: $75,001 - $100,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Overview

SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

We are more than 26,500 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a respectful work culture based on diversity, equity, and inclusion that values all contributors. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.

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