Sergey Frolov
Sergey Frolov
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Seasonal and interannual variability of the Columbia River plume: A perspective enabled by multiyear simulation databases
M Burla, AM Baptista, Y Zhang, S Frolov
Journal of Geophysical Research: Oceans 115 (C2), 2010
Fast neural network surrogates for very high dimensional physics-based models in computational oceanography
R van der Merwe, TK Leen, Z Lu, S Frolov, AM Baptista
Neural Networks 20 (4), 462-478, 2007
Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: A more complete picture of the state of the ocean
AM Moore, MJ Martin, S Akella, HG Arango, M Balmaseda, L Bertino, ...
Frontiers in Marine Science 6, 90, 2019
Monitoring of harmful algal blooms in the era of diminishing resources: a case study of the US West Coast
S Frolov, RM Kudela, JG Bellingham
Harmful Algae 21, 1-12, 2013
Facilitating strongly coupled ocean–atmosphere data assimilation with an interface solver
S Frolov, CH Bishop, T Holt, J Cummings, D Kuhl
Monthly Weather Review 144 (1), 3-20, 2016
Towards marine bloom trajectory prediction for AUV mission planning
J Das, K Rajany, S Frolovy, F Pyy, J Ryany, DA Caronz, GS Sukhatme
2010 IEEE International Conference on Robotics and Automation, 4784-4790, 2010
Coupled data assimilation for integrated earth system analysis and prediction: goals, challenges, and recommendations
SG Penny, S Akella, M Buehner, M Chevallier, F Counillon, C Draper, ...
The Navy's Earth System Prediction Capability: a new global coupled atmosphere‐ocean‐sea ice prediction system designed for daily to subseasonal forecasting
Earth and Space Science 7, 2020
Impact of bio‐optical data assimilation on short‐term coupled physical, bio‐optical model predictions
I Shulman, S Frolov, S Anderson, B Penta, R Gould, P Sakalaukus, ...
Journal of Geophysical Research: Oceans 118 (4), 2215-2230, 2013
Improved statistical prediction of surface currents based on historic HF-radar observations
S Frolov, J Paduan, M Cook, J Bellingham
Ocean Dynamics 62, 1111-1122, 2012
Fast data assimilation using a nonlinear Kalman filter and a model surrogate: An application to the Columbia River estuary
S Frolov, AM Baptista, TK Leen, Z Lu, R van der Merwe
Dynamics of Atmospheres and Oceans 48 (1-3), 16-45, 2009
Observational needs for improving ocean and coupled reanalysis, S2S prediction, and decadal prediction
SG Penny, S Akella, MA Balmaseda, P Browne, JA Carton, M Chevallier, ...
Frontiers in Marine Science 6, 391, 2019
Can we do better than the grid survey: Optimal synoptic surveys in presence of variable uncertainty and decorrelation scales
S Frolov, B Garau, J Bellingham
Journal of Geophysical Research: Oceans 119 (8), 5071-5090, 2014
Skill assessment of hf radar–derived products for lagrangian simulations in the bay of biscay
L Solabarrieta, S Frolov, M Cook, J Paduan, A Rubio, M González, ...
Journal of Atmospheric and Oceanic Technology 33 (12), 2585-2597, 2016
Predicting euphotic‐depth‐integrated chlorophyll‐afrom discrete‐depth and satellite‐observable chlorophyll‐a off central California
S Frolov, JP Ryan, FP Chavez
Journal of Geophysical Research: Oceans 117 (C5), 2012
The local ensemble tangent linear model: an enabler for coupled model 4D‐Var
CH Bishop, S Frolov, DR Allen, DD Kuhl, K Hoppel
Quarterly Journal of the Royal Meteorological Society 143 (703), 1009-1020, 2017
Complementary use of Wave Glider and satellite measurements: Description of spatial decorrelation scales in Chl-a fluorescence across the Pacific basin
NL Goebel, S Frolov, CA Edwards
Methods in Oceanography 10, 90-103, 2014
Wave Glider—A platform for persistent monitoring of algal blooms
S Frolov, J Bellingham, W Anderson, G Hine
OCEANS'11 MTS/IEEE KONA, 1-5, 2011
Implicit and explicit cross‐correlations in coupled data assimilation
P Laloyaux, S Frolov, B Ménétrier, M Bonavita
Quarterly Journal of the Royal Meteorological Society 144 (715), 1851-1863, 2018
Localized ensemble-based tangent linear models and their use in propagating hybrid error covariance models
S Frolov, CH Bishop
Monthly Weather Review 144 (4), 1383-1405, 2016
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