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| Author | Cocke, S.; LaRow, T.E. | ||||
| Title | Seasonal Predictions Using a Regional Spectral Model Embedded within a Coupled Ocean-Atmosphere Model | Type | $loc['typeJournal Article'] | ||
| Year | 2000 | Publication | Monthly Weather Review | Abbreviated Journal | Mon. Wea. Rev. |
| Volume | 128 | Issue | 3 | Pages | 689-708 |
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| ISSN | 0027-0644 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 520 | ||
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| Author | Cocke, S.; Christidis, Z.; LaRow, T.; Shin, D. W. | ||||
| Title | Performance of a Coupled Ocean-Amosphere Model on the IBM SP4 | Type | $loc['typeConference Article'] | ||
| Year | 2002 | Publication | Proceedings from the Tenth Workshop on the Use of Parallel Computers, ECMWF, in Meteorology, Reading, U.K. | Abbreviated Journal | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 863 | ||
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| Author | Cocke, S.; LaRow, T.E.; Shin, D.W. | ||||
| Title | Seasonal rainfall predictions over the southeast United States using the Florida State University nested regional spectral model | Type | $loc['typeJournal Article'] | ||
| Year | 2007 | Publication | Journal of Geophysical Research | Abbreviated Journal | J. Geophys. Res. |
| Volume | 112 | Issue | D4 | Pages | |
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0148-0227 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 430 | ||
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| Author | Cocke, S. D.; LaRow, T. E. | ||||
| Title | ), Seasonal Predictions of ENSO Impacts using a Nested Regional Spectral Model | Type | $loc['typeReport'] | ||
| Year | 1999 | Publication | Abbreviated Journal | ||
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| Publisher | Place of Publication | Editor | Ritchie, H. | ||
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| Series Editor | Series Title | CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling | Abbreviated Series Title | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 773 | ||
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| Author | Coles, V.J.; Stukel, M.R.; Brooks, M.T.; Burd, A.; Crump, B.C.; Moran, M.A.; Paul, J.H.; Satinsky, B.M.; Yager, P.L.; Zielinski, B.L.; Hood, R.R. | ||||
| Title | Ocean biogeochemistry modeled with emergent trait-based genomics | Type | $loc['typeJournal Article'] | ||
| Year | 2017 | Publication | Science (New York, N.Y.) | Abbreviated Journal | Science |
| Volume | 358 | Issue | 6367 | Pages | 1149-1154 |
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| Address | Horn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Post Office Box 775, Cambridge, MD 21613, USA | ||||
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| Language | English | Summary Language | Original Title | ||
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| ISSN | 0036-8075 | ISBN | Medium | ||
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| Funding | PMID:29191900 | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 552 | ||
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| Author | Coles, V.J.; Stukel, M.R.; Brooks, M.T.; Burd, A.; Crump, B.C.; Moran, M.A.; Paul, J.H.; Satinsky, B.M.; Yager, P.L.; Zielinski, B.L.; Hood, R.R. | ||||
| Title | Ocean biogeochemistry modeled with emergent trait-based genomics | Type | $loc['typeJournal Article'] | ||
| Year | 2017 | Publication | Science (New York, N.Y.) | Abbreviated Journal | Science |
| Volume | 358 | Issue | 6367 | Pages | 1149-1154 |
| Keywords | Atlantic Ocean; Biochemical Phenomena/genetics; Metabolic Networks and Pathways/*genetics; Metagenome; *Metagenomics; Microbial Consortia/*genetics; Models, Biological; Seawater/*microbiology; Transcriptome | ||||
| Abstract | Marine ecosystem models have advanced to incorporate metabolic pathways discovered with genomic sequencing, but direct comparisons between models and “omics” data are lacking. We developed a model that directly simulates metagenomes and metatranscriptomes for comparison with observations. Model microbes were randomly assigned genes for specialized functions, and communities of 68 species were simulated in the Atlantic Ocean. Unfit organisms were replaced, and the model self-organized to develop community genomes and transcriptomes. Emergent communities from simulations that were initialized with different cohorts of randomly generated microbes all produced realistic vertical and horizontal ocean nutrient, genome, and transcriptome gradients. Thus, the library of gene functions available to the community, rather than the distribution of functions among specific organisms, drove community assembly and biogeochemical gradients in the model ocean. | ||||
| Address | Horn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Post Office Box 775, Cambridge, MD 21613, USA | ||||
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| Language | English | Summary Language | Original Title | ||
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| ISSN | 0036-8075 | ISBN | Medium | ||
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| Funding | strtoupper('2').strtolower('9191900') | Approved | $loc['no'] | ||
| Call Number | COAPS @ rl18 @ | Serial | 989 | ||
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| Author | Cornillon, P.; Adams, J.; Blumenthal, M.B.; Chassignet, E.; Davis, E.; Hankin, S.; Kinter, J.; Mendelssohn, R.; Potemra, J.; Srinivasan, A.; Sirott, J. | ||||
| Title | NVODS and the Development of OPeNDAP | Type | $loc['typeJournal Article'] | ||
| Year | 2009 | Publication | Oceanography | Abbreviated Journal | Oceanog. |
| Volume | 22 | Issue | 2 | Pages | 116-127 |
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| ISSN | 1042-8275 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 391 | ||
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| Author | Cronin, M.F.; Gentemann, C.L.; Edson, J.; Ueki, I.; Bourassa, M.; Brown, S.; Clayson, C.A.; Fairall, C.W.; Farrar, J.T.; Gille, S.T.; Gulev, S.; Josey, S.A.; Kato, S.; Katsumata, M.; Kent, E.; Krug, M.; Minnett, P.J.; Parfitt, R.; Pinker, R.T.; Stackhouse Jr., P.W.; Swart, S.; Tomita, H.; Vandemark, D.; Weller, A.R.; Yoneyama, K.; Yu, L.; Zhang, D. | ||||
| Title | Air-Sea Fluxes With a Focus on Heat and Momentum | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | ||
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| Abstract | Turbulent and radiative exchanges of heat between the ocean and atmosphere (hereafter heat fluxes), ocean surface wind stress, and state variables used to estimate them, are Essential Ocean Variables (EOVs) and Essential Climate Variables (ECVs) influencing weather and climate. This paper describes an observational strategy for producing 3-hourly, 25-km (and an aspirational goal of hourly at 10-km) heat flux and wind stress fields over the global, ice-free ocean with breakthrough 1-day random uncertainty of 15 W m–2 and a bias of less than 5 W m–2. At present this accuracy target is met only for OceanSITES reference station moorings and research vessels (RVs) that follow best practices. To meet these targets globally, in the next decade, satellite-based observations must be optimized for boundary layer measurements of air temperature, humidity, sea surface temperature, and ocean wind stress. In order to tune and validate these satellite measurements, a complementary global in situ flux array, built around an expanded OceanSITES network of time series reference station moorings, is also needed. The array would include 500–1000 measurement platforms, including autonomous surface vehicles, moored and drifting buoys, RVs, the existing OceanSITES network of 22 flux sites, and new OceanSITES expanded in 19 key regions. This array would be globally distributed, with 1–3 measurement platforms in each nominal 10° by 10° box. These improved moisture and temperature profiles and surface data, if assimilated into Numerical Weather Prediction (NWP) models, would lead to better representation of cloud formation processes, improving state variables and surface radiative and turbulent fluxes from these models. The in situ flux array provides globally distributed measurements and metrics for satellite algorithm development, product validation, and for improving satellite-based, NWP and blended flux products. In addition, some of these flux platforms will also measure direct turbulent fluxes, which can be used to improve algorithms for computation of air-sea exchange of heat and momentum in flux products and models. With these improved air-sea fluxes, the ocean’s influence on the atmosphere will be better quantified and lead to improved long-term weather forecasts, seasonal-interannual-decadal climate predictions, and regional climate projections. | ||||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1067 | ||
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| Author | Culin, J. C. | ||||
| Title | Wintertime ENSO Variability in Wind Direction Across the Southeast United States | Type | $loc['typeManuscript'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Wind Roses, Southeast United States, Surface Wind Direction, ENSO, NCEP/NCAR Reanalysis | ||||
| Abstract | Changes in wind direction in association with the phases of the El Niño-Southern Oscillation (ENSO) are identified over the Southeast region of the United States during the winter season (December-February). Wind roses, which depict the percentage of time the wind comes from each direction and can graphically identify the prevailing wind, are computed according to a 12-point compass for 24 stations in the region. Unfolding the wind rose into a 12-bin histogram visually demonstrates the peak frequencies in wind direction during each of the three (warm, cold and neutral) phases of ENSO. Normalized values represent the number of occurrences (counts) per month per ENSO phase, and comparison using percent changes illustrates the differences between phases. Based on similarities in wind direction characteristics, regional topography and results from a formal statistical test, stations are grouped into five geographic regions, with a representative station used to describe conditions in that region. Locations in South Florida show significant differences in the frequencies in wind direction from easterly directions during the cold phase and northerly directions during the warm phase. North Florida stations display cold phase southerly directions, and westerly and northerly directions during the warm phase, both of which are significant for much of the winter. Coastal Atlantic stations reveal winds from westerly directions for both phases. The Piedmont region demonstrates large variability in wind direction due to the influence from the Appalachian Mountains, but generally identifies warm phase and cold phase winds with more zonal influences rather than just from south or north. The Mountainous region also indicates southerly cold phase winds and northerly warm phase winds, but also reveals less of an influence from ENSO or significantly different distributions. Comparisons between observed patterns and those obtained using the NCEP/NCAR Reanalysis data reveal how the model-derived observations resolve the ENSO influence on surface wind direction at selected locations. Overall, resolution of the strength of the signals is not achieved, though the depiction of the general pattern is fair at two of the three locations. Connections between the synoptic flow and surface wind direction are examined via relationships to the storm track associated with the 250 hPa jet stream and sea level pressure patterns during each extreme ENSO phase. Discussion of reasons the NCEP reanalysis illustrates surface wind direction patterns different from those derived from observations is included. | ||||
| Address | Department of Meteorology | ||||
| Corporate Author | Thesis | $loc['Master's thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 615 | ||
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| Author | Curry, J.A.; Bentamy, A.; Bourassa, M.A.; Bourras, D.; Bradley, E.F.; Brunke, M.; Castro, S.; Chou, S.H.; Clayson, C.A.; Emery, W.J.; Eymard, L.; Fairall, C.W.; Kubota, M.; Lin, B.; Perrie, W.; Reeder, R.A.; Renfrew, I.A.; Rossow, W.B.; Schulz, J.; Smith, S.R.; Webster, P.J.; Wick, G.A.; Zeng, X. | ||||
| Title | Seaflux | Type | $loc['typeJournal Article'] | ||
| Year | 2004 | Publication | Bulletin of the American Meteorological Society | Abbreviated Journal | Bull. Amer. Meteor. Soc. |
| Volume | 85 | Issue | 3 | Pages | 409-424 |
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| ISSN | 0003-0007 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 459 | ||
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