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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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| Series Volume | Series Issue | Edition | |||
| ISSN | 1463-5003 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| 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 | ||
| Area | Expedition | Conference | |||
| 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 | 1815–1832. |
| 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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| 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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