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Sergey Frolov
Sergey Frolov
NOAA/PSL
Verified email at noaa.gov - Homepage
Title
Cited by
Cited by
Year
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
842010
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
752007
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
602013
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
552010
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
452016
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
412013
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
412009
Improved statistical prediction of surface currents based on historic HF-radar observations
S Frolov, J Paduan, M Cook, J Bellingham
Ocean Dynamics 62 (7), 1111-1122, 2012
392012
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
312019
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
292012
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
282014
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
272016
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
232014
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
232014
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
222017
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
222011
Optimizing fixed observational assets in a coastal observatory
S Frolov, A Baptista, M Wilkin
Continental Shelf Research 28 (19), 2644-2658, 2008
212008
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
182016
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
172019
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
16*2020
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