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Author Shin, D. W., S. Cocke, T. E. LaRow, and Y.-K. Lim
Title Climate model capability in resolving diurnal cycle of rainfall Type $loc['typeManuscript']
Year 2007 Publication Research Activities in Atmospheric and Ocean Modeling Abbreviated Journal
Volume Issue Pages 4-25
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Corporate Author Thesis
Publisher CAS/JSC Working Group on Numerical Experimentation
Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 702
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Author Shinoda, T. ; Kiladis, G.N. ; Roundy, P.E.
Title Statistical representation of equatorial waves and tropical instability waves in the Pacific Ocean Type $loc['typeConference Article']
Year 2009 Publication Atmospheric Research Abbreviated Journal Atmospheric Research
Volume 94
Issue 1
Pages 37-44
Keywords Equatorial waves ; Tropical instability waves ; Tropical air-sea interaction
Abstract
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0169-8095
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 381
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Author Shropshire, T. ; Morey, S. L. ; Chassignet, E. P. ; Bozec, A. ; Coles, V.J. ; Landry, M.R. ; Swalethorp, R. ; Zapfe, G. and Stukel, M.R.
Title Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical-biogeochemical model Type $loc['typeJournal Article']
Year 2019 Publication Abbreviated Journal
Volume Issue Pages
Keywords
Abstract Zooplankton play an important role in global biogeochemistry and their secondary production supports valuable fisheries of the world's oceans. Currently, zooplankton abundances cannot be estimated using remote sensing techniques. Hence, coupled physical-biogeochemical models (PBMs) provide an important tool for studying zooplankton on regional and global scales. However, evaluating the accuracy of zooplankton abundance estimates from PBMs has been a major challenge as a result of sparse observations. In this study, we configure a PBM for the Gulf of Mexico (GoM) from 1993�2012 and validate the model against an extensive combination of in situ biomass and rate measurements including total mesozooplankton biomass, size-fractionated mesozooplankton biomass and grazing rates, microzooplankton specific grazing rates, surface chlorophyll, deep chlorophyll maximum depth, phytoplankton specific growth rates, and net primary production. Spatial variability in mesozooplankton biomass climatology observed in a multi-decadal database for the northern GoM is well resolved by the model with a statistically significant (p < 0.01) correlation of 0.90. Mesozooplankton secondary production for the region averaged 66 + 8 mt C yr−1 equivalent to approximately 10 % of NPP and ranged from 51 to 82 mt C yr−1. In terms of diet, model results from the shelf regions suggest that herbivory is the dominant feeding mode for small mesozooplankton (< 1-mm) whereas larger mesozooplankton are primarily carnivorous. However, in open-ocean, oligotrophic regions, both groups of mesozooplankton have proportionally greater reliance on heterotrophic protists as a food source. This highlights the important role of microbial and protistan food webs in sustaining mesozooplankton biomass in the GoM which serves as the primary food source for early life stages of many commercially-important fish species, including tuna.
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Publisher Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ user @
Serial 1095
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Author Siefridt, L. ; Barnier, B. ; Legler, D. M. ; O'Brien, J. J.
Title 5-day average wind over North-West Atlantic from ERS1 using a variational analysis Type $loc['typeJournal Article']
Year 1998 Publication Global Atmosphere and Ocean System Abbreviated Journal
Volume 5
Issue Pages 317-344
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 740
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Author Singh, K. ; Jardak, M. ; Sandu, A. ; Bowman, K. ; Lee, M. ; Jones, D.
Title Construction of non-diagonal background error covariance matrices for global chemical data assimilation Type $loc['typeJournal Article']
Year 2011 Publication Geoscientific Model Development Abbreviated Journal Geosci. Model Dev.
Volume 4
Issue 2
Pages 299-316
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1991-9603
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 377
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Author Smedstad, O.M. ; Hurlburt, H.E. ; Metzger, E.J. ; Rhodes, R.C. ; Shriver, J.F. ; Wallcraft, A.J. ; Kara, A.B.
Title An operational Eddy resolving 1/16° global ocean nowcast/forecast system Type $loc['typeJournal Article']
Year 2003 Publication Journal of Marine Systems Abbreviated Journal Journal of Marine Systems
Volume 40-41
Issue Pages 341-361
Keywords global ocean prediction ; prediction of mesoscale variability ; data assimilation ; ocean forecast verification
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0924-7963
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 481
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Author Smith, R. A.
Title Trends in Maximum and Minimum Temperature Deciles in Select Regions of the United States Type $loc['typeManuscript']
Year 2007 Publication Abbreviated Journal
Volume Issue Pages
Keywords Long term temperature trends, Climate change, Statistical analysis, Climatology
Abstract Daily maximum and minimum temperature data from 758 COOP stations in nineteen states are used to create temperature decile maps. All stations used contain records from 1948 through 2004 and could not be missing more than 5 consecutive years of data. Missing data are replaced using a multiple linear regression technique from surrounding stations. For each station, the maximum and minimum temperatures are first sorted in ascending order for every two years (to reduce annual variability) and divided into ten equal parts (or deciles). The first decile represents the coldest temperatures, and the last decile contains the warmest temperatures. Patterns and trends in these deciles can be examined for the 57-year period. A linear least-squares regression method is used to calculate best-fit lines for each decile to determine the long-term trends at each station. Significant warming or cooling is determined using the Student's t-test, and bootstrapping the decile data will further examine the validity of significance. Two stations are closely examined. Apalachicola, Florida shows significant warming in its maximum deciles and significant cooling in its minimum deciles. The maximum deciles seem to be affected by some localized change. The minimum deciles are discontinuous, and the trends are a result of a minor station move. Columbus, Georgia has experienced significant warming in its minimum deciles, and this appears to be the result of an urban heat-island effect. The discontinuities seen in the Apalachicola case study illustrate the need for a quality control method. This method will eliminate stations from the regional analysis that experience large changes in the ten-year standard deviations within their time series. The regional analysis shows that most of the region is dominated by significant cooling in the maximum deciles and significant warming in the minimum deciles, with more variability in the lower deciles. Field significance testing is performed on subregions (based on USGS 2000 land cover data) and supports the findings from the regional analysis; it also isolates regions, such as the Florida peninsula and the Maryland/Delaware region, that appear to be affected by more local forcings.
Address Department of Meteorology
Corporate Author Thesis $loc['Master's thesis']
Publisher Florida State University
Place of Publication Tallahassee, FL
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 612
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Author Smith, S. R.
Title Automated marine weather observations on research vessels as part of an ocean observing system Type $loc['typeConference Article']
Year Publication Abbreviated Journal
Volume Issue Pages cdrom
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Publisher Place of Publication Editor
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Series Editor Series Title Symposium on Forecasting the Weather and Climate of the Atmosphere and Ocean, American Meteorological Society, Seattle, WA, USA
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Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding NOAA
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 891
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Author Smith, S. R.
Title Report from the 2nd workshop on high-resolution marine meteorology Type $loc['typeReport']
Year 2004 Publication Abbreviated Journal
Volume Issue Pages 31
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Corporate Author Thesis
Publisher Center for Ocean-Atmospheric Prediction Studies, Florida State University
Place of Publication Tallahassee, FL
Editor
Language Summary Language Original Title
Series Editor Series Title COAPS Technical Report 04-01
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Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding NOAA
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 883
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Author Smith, S. R.
Title Surface Meteorology from Research Vessels Type $loc['typeReport']
Year 2004 Publication Abbreviated Journal
Volume Issue Pages
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Series Editor Series Title GSOP Report on Ocean Observations, International CLIVAR Project Office, UK
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Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding NOAA
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 888
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