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Author Srinivasan, A.; Chassignet, E.P.; Bertino, L.; Brankart, J.M.; Brasseur, P.; Chin, T.M.; Counillon, F.; Cummings, J.A.; Mariano, A.J.; Smedstad, O.M.; Thacker, W.C.
Title A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances Type $loc['typeJournal Article']
Year 2011 Publication Ocean Modelling Abbreviated Journal Ocean Modelling
Volume 37 Issue 3-4 Pages 85-111
Keywords Data assimilation; Ocean modeling; Ocean prediction; Twin experiments; Sequential assimilation; MVOI; EnOI; SEEK; ROIF; EnROIF
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ISSN 1463-5003 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 320
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Author Strazzo, S.; Elsner, J.B.; LaRow, T.; Halperin, D.J.; Zhao, M.
Title Observed versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice Type $loc['typeJournal Article']
Year 2013 Publication Journal of Climate Abbreviated Journal J. Climate
Volume 26 Issue 21 Pages 8257-8268
Keywords Tropics; Model comparison; Model evaluation/performance
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ISSN 0894-8755 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 226
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Author Strazzo, S.E.; Elsner, J.B.; LaRow, T.E.; Murakami, H.; Wehner, M.; Zhao, M.
Title The influence of model resolution on the simulated sensitivity of North Atlantic tropical cyclone maximum intensity to sea surface temperature Type $loc['typeJournal Article']
Year 2016 Publication Journal of Advances in Modeling Earth Systems Abbreviated Journal J. Adv. Model. Earth Syst.
Volume 8 Issue 3 Pages 1037-1054
Keywords tropical cyclones; climate models
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ISSN 1942-2466 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 89
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Author Stukel, M.R.; Decima, M.; Kelly, T.B.
Title A new approach for incorporating 15N isotopic data into linear inverse ecosystem models with Markov Chain Monte Carlo sampling Type $loc['typeJournal Article']
Year 2018 Publication PloS one Abbreviated Journal PLoS One
Volume 13 Issue 6 Pages e0199123
Keywords Isotopic data; Nitrogen-based ecosystem models; Phytoplankton; Defecation by grazers; Mortality by phytoplankton
Abstract Oceanographic field programs often use delta15N biogeochemical measurements and in situ rate measurements to investigate nitrogen cycling and planktonic ecosystem structure. However, integrative modeling approaches capable of synthesizing these distinct measurement types are lacking. We develop a novel approach for incorporating delta15N isotopic data into existing Markov Chain Monte Carlo (MCMC) random walk methods for solving linear inverse ecosystem models. We test the ability of this approach to recover food web indices (nitrate uptake, nitrogen fixation, zooplankton trophic level, and secondary production) derived from forward models simulating the planktonic ecosystems of the California Current and Amazon River Plume. We show that the MCMC with delta15N approach typically does a better job of recovering ecosystem structure than the standard MCMC or L2 minimum norm (L2MN) approaches, and also outperforms an L2MN with delta15N approach. Furthermore, we find that the MCMC with delta15N approach is robust to the removal of input equations and hence is well suited to typical pelagic ecosystem studies for which the system is usually vastly under-constrained. Our approach is easily extendable for use with delta13C isotopic measurements or variable carbon:nitrogen stoichiometry.
Address Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL, United States of America
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Language English Summary Language Original Title
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ISSN 1932-6203 ISBN Medium
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Funding strtoupper('2').strtolower('9912928'); strtoupper('P').strtolower('MC6005467') Approved $loc['no']
Call Number COAPS @ user @ Serial 975
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Author Stukel, M.R.; Décima, M.; Landry, M.R.; Selph, K.E.
Title Nitrogen and isotope flows through the Costa Rica Dome upwelling ecosystem: The crucial mesozooplankton role in export flux Type $loc['typeJournal Article']
Year 2018 Publication Global Biogeochemical Cycles Abbreviated Journal Global Biogeochemical Cycles
Volume 32 Issue 12 Pages 18151832.
Keywords Crustaceans; Diel vertical migration; Nitrogen cycle; Biological carbon pump; Nitrogen isotopes; Linear inverse ecosystem model
Abstract The Costa Rica Dome (CRD) is an open-ocean upwelling ecosystem, with high biomasses of picophytoplankton (especially Synechococcus), mesozooplankton, and higher trophic levels. To elucidate the food web pathways supporting the trophic structure and carbon export in this unique ecosystem, we used Markov Chain Monte Carlo techniques to assimilate data from four independent realizations of δ15N and planktonic rate measurements from the CRD into steady state, multicompartment ecosystem box models (linear inverse models). Model results present well-constrained snapshots of ecosystem nitrogen and stable isotope fluxes. New production is supported by upwelled nitrate, not nitrogen fixation. Protistivory (rather than herbivory) was the most important feeding mode for mesozooplankton, which rely heavily on microzooplankton prey. Mesozooplankton play a central role in vertical nitrogen export, primarily through active transport of nitrogen consumed in the surface layer and excreted at depth, which comprised an average 36-46% of total export. Detritus or aggregate feeding is also an important mode of resource acquisition by mesozooplankton and regeneration of nutrients within the euphotic zone. As a consequence, the ratio of passively sinking particle export to phytoplankton production is very low in the CRD. Comparisons to similar models constrained with data from the nearby equatorial Pacific demonstrate that the dominant role of vertical migrators to the biological pump is a unique feature of the CRD. However, both regions show efficient nitrogen transfer from mesozooplankton to higher trophic levels (as expected for regions with large fish, cetacean, and seabird populations) despite the dominance of protists as major grazers of phytoplankton.
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Call Number COAPS @ rl18 @ Serial 978
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Author Stukel, M.R.; Kahru, M.; Benitez-Nelson, C.R.; Décima, M.; Goericke, R.; Landry, M.R.; Ohman, M.D.
Title Using Lagrangian-based process studies to test satellite algorithms of vertical carbon flux in the eastern North Pacific Ocean Type $loc['typeJournal Article']
Year 2015 Publication Journal of Geophysical Research: Oceans Abbreviated Journal J. Geophys. Res. Oceans
Volume 120 Issue 11 Pages 7208-7222
Keywords satellite-derived export; carbon export; model algorithms; mesozooplankton grazing; sinking particles; gravitational flux
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ISSN 2169-9275 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 113
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Author Sura, P.
Title A general perspective of extreme events in weather and climate Type $loc['typeJournal Article']
Year 2011 Publication Atmospheric Research Abbreviated Journal Atmospheric Research
Volume 101 Issue 1-2 Pages 1-21
Keywords Weather and climate extremes; Stochastic modeling; Weather and climate statistics
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ISSN 0169-8095 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 302
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Author Todd, A., D. Dukhovskoy, M. Griffin
Title Effectiveness of the Keetch-Byram Drought Index toward the estimation of fires in Florida Type $loc['typeJournal Article']
Year 2009 Publication Agricultural and Forest Meteorology Abbreviated Journal
Volume Issue Pages submitted
Keywords KBDI, wildland fire, fire prediction, statistical models
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Funding USDA Approved $loc['no']
Call Number COAPS @ mfield @ Serial 677
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Author Todd, A.C.; Morey, S.L.; Chassignet, E.P.
Title Circulation and cross-shelf transport in the Florida Big Bend Type $loc['typeJournal Article']
Year 2014 Publication Journal of Marine Research Abbreviated Journal J Mar Res
Volume 72 Issue 6 Pages 445-475
Keywords Coastal circulation; ocean modeling; larval transport; gag grouper; Florida Big Bend
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Language Summary Language Original Title
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ISSN 0022-2402 ISBN Medium
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Funding BP/Deep-C, NOAA NGI, NASA/JPL/OVWST, ONR Approved $loc['no']
Call Number COAPS @ mfield @ Serial 148
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Author van Sebille, E.; Griffies, S.M.; Abernathey, R.; Adams, T.P.; Berloff, P.; Biastoch, A.; Blanke, B.; Chassignet, E.P.; Cheng, Y.; Cotter, C.J.; Deleersnijder, E.; Döös, K.; Drake, H.F.; Drijfhout, S.; Gary, S.F.; Heemink, A.W.; Kjellsson, J.; Koszalka, I.M.; Lange, M.; Lique, C.; MacGilchrist, G.A.; Marsh, R.; Mayorga Adame, C.G.; McAdam, R.; Nencioli, F.; Paris, C.B.; Piggott, M.D.; Polton, J.A.; Rühs, S.; Shah, S.H.A.M.; Thomas, M.D.; Wang, J.; Wolfram, P.J.; Zanna, L.; Zika, J.D.
Title Lagrangian ocean analysis: Fundamentals and practices Type $loc['typeJournal Article']
Year 2018 Publication Ocean Modelling Abbreviated Journal Ocean Modelling
Volume 121 Issue Pages 49-75
Keywords Ocean circulation; Lagrangian analysis; Connectivity; Particle tracking; Future modelling
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ISSN 1463-5003 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 466
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