Impact of assimilating ocean velocity observations inferred from Lagrangian drifter data using the NCOM-4DVAR MJ Carrier, H Ngodock, S Smith, G Jacobs, P Muscarella, T Ozgokmen, ... Monthly Weather Review 142 (4), 1509-1524, 2014 | 57 | 2014 |
Use of observing system simulation experiments in the United States X Zeng, R Atlas, RJ Birk, FH Carr, MJ Carrier, L Cucurull, WH Hooke, ... Bulletin of the American Meteorological Society 101 (8), E1427-E1438, 2020 | 45 | 2020 |
A 4DVAR system for the Navy Coastal Ocean Model. Part I: System description and assimilation of synthetic observations in Monterey Bay H Ngodock, M Carrier Monthly Weather Review 142 (6), 2085-2107, 2014 | 44 | 2014 |
Do assimilated drifter velocities improve Lagrangian predictability in an operational ocean model? P Muscarella, MJ Carrier, H Ngodock, S Smith, BL Lipphardt Jr, ... Monthly Weather Review 143 (5), 1822-1832, 2015 | 31 | 2015 |
Quantifying wavelengths constrained by simulated SWOT observations in a submesoscale resolving ocean analysis/forecasting system JM D'addezio, S Smith, GA Jacobs, RW Helber, C Rowley, I Souopgui, ... Ocean Modelling 135, 40-55, 2019 | 29 | 2019 |
Background-error correlation model based on the implicit solution of a diffusion equation MJ Carrier, H Ngodock Ocean Modelling 35 (1-2), 45-53, 2010 | 26 | 2010 |
Impact of assimilating surface velocity observations on the model sea surface height using the NCOM-4DVAR MJ Carrier, HE Ngodock, P Muscarella, S Smith Monthly Weather Review 144 (3), 1051-1068, 2016 | 21 | 2016 |
A weak constraint 4D-Var assimilation system for the Navy Coastal Ocean Model using the representer method H Ngodock, M Carrier Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2013 | 21 | 2013 |
Identifying cloud-uncontaminated AIRS spectra from cloudy FOV based on cloud-top pressure and weighting functions M Carrier, X Zou, WM Lapenta Monthly weather review 135 (6), 2278-2294, 2007 | 18 | 2007 |
On the direct assimilation of along‐track sea‐surface height observations into a free‐surface ocean model using a weak constraints four‐dimensional variational (4D‐Var) method H Ngodock, M Carrier, I Souopgui, S Smith, P Martin, P Muscarella, ... Quarterly Journal of the Royal Meteorological Society 142 (695), 1160-1170, 2016 | 17 | 2016 |
A 4DVAR system for the Navy Coastal Ocean Model. Part II: Strong and weak constraint assimilation experiments with real observations in Monterey Bay H Ngodock, M Carrier Monthly Weather Review 142 (6), 2108-2117, 2014 | 17 | 2014 |
A multiscale approach to high-resolution ocean profile observations within a 4DVAR analysis system MJ Carrier, JJ Osborne, HE Ngodock, SR Smith, I Souopgui, ... Monthly Weather Review 147 (2), 627-643, 2019 | 16 | 2019 |
Examining the potential impact of SWOT observations in an ocean analysis–forecasting system MJ Carrier, HE Ngodock, SR Smith, I Souopgui, B Bartels Monthly Weather Review 144 (10), 3767-3782, 2016 | 16 | 2016 |
An examination of a multi-scale three-dimensional variational data assimilation scheme in the Kuroshio Extension using the naval coastal ocean model PA Muscarella, MJ Carrier, HE Ngodock Continental Shelf Research 73, 41-48, 2014 | 16 | 2014 |
Background error correlation modeling with diffusion operators M Yaremchuk, M Carrier, S Smith, G Jacobs Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2013 | 16 | 2013 |
On the renormalization of the covariance operators M Yaremchuk, M Carrier Monthly weather review 140 (2), 637-649, 2012 | 12 | 2012 |
Weak and strong constraints variational data assimilation with the NCOM-4DVAR in the Agulhas Region using the representer method H Ngodock, M Carrier, S Smith, I Souopgui Monthly Weather Review 145 (5), 1755-1764, 2017 | 10 | 2017 |
Comparing the vertical structures of weighting functions and adjoint sensitivity of radiance and verifying mesoscale forecasts using AIRS radiance observations MJ Carrier, X Zou, WM Lapenta Monthly weather review 136 (4), 1327-1348, 2008 | 10 | 2008 |
Assimilation of HF radar observations in the Chesapeake–Delaware Bay region using the Navy Coastal Ocean Model (NCOM) and the Four-Dimensional Variational (4DVAR) method H Ngodock, P Muscarella, M Carrier, I Souopgui, S Smith Coastal Ocean Observing Systems, 373-391, 2015 | 9 | 2015 |
An ensemble of perturbed analyses to approximate the analysis error covariance in 4dvar H Ngodock, I Souopgui, M Carrier, S Smith, J Osborne, J D’Addezio Tellus A: Dynamic Meteorology and Oceanography 72 (1), 1-12, 2020 | 8 | 2020 |