Monterey Bay Aquarium Research Institute

Sergey Frolov


Postdoctoral Fellow

Monterey Bay Aquarium Research Institute

E-mail: f r o l o v s
S-mail: 7700 Sandholt Rd. Moss Landing, CA, 95039, USA.
Office: B208.03
Phone: (831) 775-1960
Fax: (831) 775-1620
 

Full CV  Employment  Education  Research   Funding  Publications   Software

Employment

Postdoctoral Fellow (October 2008 -- present):
   Monterey Bay Aquarium Research Institute, Moss Landing, California.
    Advisor: James Bellingham.

Postdoctoral Researcher (November 2007 -- September 2008):
    NSF Science and Technology Center for Coastal Margin Observation and Prediction, Portland, Oregon.
    Advisor: Antonio M. Baptista.

Education

Ph.D.: Environmental Science and Engineering
    OGI School of Science & Engineering - Oregon Health & Science University, Portland, Oregon; 2001-2007.
    Advisor: Antonio M. Baptista.

M.Sc.: Environmental Science and Policy
    Central European University, (Budapest, Hungary), 2000.

M.Sc.: Ecology of radionuclides
    International Sakharov Environmental University, (Minsk, Belarus), 1994-1999.

Research Interests

I am  a postdoctoral fellow at Monterey Bay Aquarium Research Institute. I am working with James Bellingham, John Ryan, Francisco Chavez, Raphe Kudela (UCSC), and Igor Shulman (NRL-Stennis) on observing and predicting dynamics of algal blooms. In the past, I worked with Antonio Baptista at the NSF-STC for Coastal Margin Observation and Prediction on data assimilation for highly non-linear flows in the Columbia River estuary and estuary-plume systems.

My research interests are:

  • Predicting response of the coastal ocean to external forcings: Using observations and models to understand how coastal ocean responds to variability in anthropogenic, climatic, atmospheric, and open ocean forcings. My past research focused on the fate of freshwater at sea (Columbia River estuary and plume), and my current research is on the interaction of physics and ecology in coastal phytoplankton blooms (Monterey Bay).
  • Data Assimilation: Estimating the state of the environment using uncertain models and data. From 2004 to 2008, I developed a data assimilation system for the Columbia River estuary and plume. I currently co-develop (with scientists at the Navy Research Lab) algorithms for assimilation of biological and optical measurements into a coastal ecosystem model.
  • Optimal Sampling: Developing strategies for optimal sampling of ocean processes that can exploit synergies between different measurement types and platforms (e.g., gliders, buoys, satellites, and coastal radars). My past focus was on optimal observations of estuarine circulation using moored sensors. My present focus is on defining observation constrains on biogoechemical models of the coastal ocean.
  • Machine Learning: Application of machine learning methods to build faster, more accurate models of the environment. In the past, I expedited ocean data assimilation using dimension reduction, recurrent neural network, and sigma point Kalman filter algorithms. Recently, I worked on algorithms that optimize sampling strategies for mobile platforms. 

Funding

  • Bellingham J., S. Frolov, I. Shulman Office of Naval Research (2010-2012): Compact ocean models enable on-board AUV autonomy and decentralized adaptive sampling 510K.

  • Frolov, S., (2009-2010) David and Lucy Packard Foundation: Postdoctoral Fellowship in Monterey Bay Aquarium Research Institute.

Publications

Manuscripts in preparation

  • Frolov, S., Shulman I., Anderson S., Bellingham (in prep.) “Multivariate data assimilation with the Monterey Bay coupled bio-optical, physical model.” 

  • Frolov, S., Garau B., Bellingham J. (in prepr.) "Optimal sampling with mobile platforms in highly non-homogeneous ocean environment: mapping algal blooms in Monterey Bay, California"

  • Frolov, S., R., Kudela, J., Ryan; J., Bellingham (in prep.) “Phytoplankton blooms along the U.S. West Coast: scales of variability and implications for monitoring of harmful algal blooms. ”

  • Frolov, S., J., Ryan; F., Chavez (submitted) “Surface chlorophyll and algal biomass profiles in eastern boundary upwelling ecosystems: Implications for observations of coastal phytoplankton blooms”, Journal of Geophysical Research.

Peer-reviewed Publications

  • Das, J., Rajan, K., Frolov, S., Py, F., Ryan, J., Caron, D. A., and Sukhatme, G. S. (2010), "Towards Marine Bloom Trajectory Prediction for AUV Mission Planning," in IEEE International Conference on Robotics and Automation., Anchorage, Alaska.

  • Dang, T., Bulusu, N., Feng, W.-C., Frolov, S., and Baptista, A. (2010), "A framework for tracking dynamic features with static and mobile sensors," in IEEE INFOCOM'2010, San Diego, CA.

  • Burla, M., Baptista, A. M., Zhang, Y., and Frolov, S. (2010), "Seasonal and inter-annual variability of the Columbia River plume: A perspective enabled by multi-year simulation databases," Journal of Geophysical Research, doi:10.1029/2008JC004964. [doi]

  • Frolov, S., A. M. Baptista, Y. Zhang, C. Seaton, (2009). Estimation of Ecologically Significant Circulation Features of the Columbia River Estuary and Plume Using a Reduced-Dimension Kalman Filter, Continental Shelf Research, doi:10.1016/j.csr.2008.11.004. [doi | pdf]

  • Frolov, S., Z. Lu, R. van der Merwe, T.K. Leen, and A.M. Baptista, (2009). Fast Data Assimilation Using a Nonlinear Kalman Filter and a Model Surrogate: an Application to the Columbia River Estuary, Dynamics of Atmospheres and Oceans, doi:10.1016/j.dynatmoce.2008.10.004. [doi | pdf]

  • Frolov, S., A.M. Baptista, M. Wilkin, (2008). Optimizing Placement of Fixed Observational Sensors in a Coastal Observatory, Continental Shelf Research, doi:10.1016/j.csr.2008.08.009. [doi | pdf]

  • van der Merwe, R.,Leen, T. K., Lu, Z., Frolov, S., and Baptista, A. M. (2007), "Fast Neural Network Surrogates for Very High Dimensional Physics-Based Models in Computational Oceanography," Neural Networks, 20, 462-478. [pdf]

Selected Conference Publications

  • Frolov, S.(2011) “Do we have sufficient data to constrain coastal biogeochemical models: towards optimal design of ocean observatories?” Invited talk at the Gordon Research Conference on Coastal Ocean Modeling, South Hadley, MA. 

  • Frolov, S., I., Shulman; S., Anderson; J., Bellingham (2010) “Multivariate data assimilation with the Monterey Bay coupled bio-optical, physical model.” Ocean Optics, Anchorage, AK. 

  • Frolov, S., R., Kudela; J., Ryan; J.; Bellingham J. (2010) “Phytoplankton blooms along the U.S. West Coast: scales of variability and implications for monitoring of harmful algal blooms.” Eastern Pacific Ocean Conference, Timberline Lodge, OR. 

  • Frolov, S., R., Kudela; J., Ryan; J.; Bellingham (2010) “What is the Right Strategy to Observe Potentially Harmful Algal Blooms off the California Coast?” in AGU Ocean Science Meeting, Portland, OR [pdf].

  • Frolov, S., Ryan J.; Bellingham J.; Chavez F. (2009) “Optimal design of ocean observatories: designing a harmful algal bloom observatory in Monterey bay”. GEOHAB workshop on modeling of harmful algal blooms, Galway, Ireland.

  • Frolov, S., Baptista, A. M., and Wilkin, M. (2008), "Optimal, Model-Based Design of a Coastal-Margin Observatory: Lessons Learned from the Columbia River Estuary and Plume," in AGU Ocean Science Meeting, Orlando, FL. [pdf]

  • Frolov, S., Baptista, A. M., Leen, T. K., van der Merwe, R., and Lu, Z. (2007), Data Assimilation with a Reduced-Dimensionality Model in a Coastal Observatory, in Workshop on Data Assimilation in Support of Coastal Ocean Observing Systems, Corvallis, OR. [pdf]

  • Frolov, S., A.M. Baptista, T. Leen, Z. Lu, R. van der Merwe (2006), Assimilating in-situ Measurements into a Reduced-Dimensionality Model of an Estuary- Plume System, in Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract A31A-0846, San-Francisco, CA. [pdf]

  • Frolov, S., Z. Lu, R. van der Merwe, T.K. Leen, and A.M. Baptista, (2006). Fast and Model-Independent Data Assimilation of Estuarine Circulation, Using Neural Networks, in Eos Trans. AGU, 87(36), Ocean Sci. Meet. Suppl., Abstract OS26O-06, Honolulu, HI. [pdf]

  • Frolov, S., A.M. Baptista, and T.K. Leen, (2004). Calibration of Spatio-Temporal-Varying Bottom Drag in an Estuary with Multiple Dynamical and Error Regimes, in AGU Ocean Science Meeting 2004, Eos. Trans. 84(52), Portland, OR. [ppt]

Tech Reports
  • Lu, Z., T.K. Leen, R.van der Merwe, S. Frolov, and A.M. Baptista (2008) Sequential Data Assimilation with Sigma-Point Kalman Filter on Low-Dimensional Manifold, CMOP-Tech Report. [pdf]
Theses

  • Frolov, S. (August 2007). Doctoral thesis: Enabling Technologies for Data Assimilation in a Coastal-Margin Observatory.
    (Thesis committee: A.M. Baptista, M. Foreman, J. Kindle, T. Leen, and R. Miller) [abstract] [pdf].

  • Frolov, S. (2000). Master thesis: Development of Pollutant Release and Transfer Registers: Case Study of Hungary as a Country of Central and Eastern Europe.

  • Frolov, S. (1999). Master thesis: Development of the Rules for Environmental Liability Insurance System, Methodological and Software Support in Case of Extra-Poisonous Toxic Releases.

Talks

Subject:

Chronological:

  • 2011: Gordon Research Conference

  • 2010: Scrips Institute of Oceanography, Stanford University

  • 2009:University of California Santa Cruz

  • 2008:MBARI, NRL-Stennis, OSU-COAS

  • 2007:Ph.D. Thesis defense, NASA-JPL

Software