Records |
Author  |
Cocke, S. D.; LaRow, T. E. |
Title |
), Seasonal Predictions of ENSO Impacts using a Nested Regional Spectral Model |
Type |
$loc['typeReport'] |
Year |
1999 |
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Editor |
Ritchie, H. |
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Series Title |
CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
773 |
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Author  |
Cocke, S.; Boisserie, M.; Shin, D.-W. |
Title |
A coupled soil moisture initialization scheme for the FSU/COAPS climate model |
Type |
$loc['typeJournal Article'] |
Year |
2013 |
Publication |
Inverse Problems in Science and Engineering |
Abbreviated Journal |
Inverse Problems in Science and Engineering |
Volume |
21 |
Issue |
3 |
Pages |
420-437 |
Keywords |
soil moisture initialization; data assimilation; precipitation assimilation; nudging; reanalysis |
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ISSN |
1741-5977 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
199 |
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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 |
$loc['typeConference Article'] |
Year |
2002 |
Publication |
Proceedings from the Tenth Workshop on the Use of Parallel Computers, ECMWF, in Meteorology, Reading, U.K. |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
863 |
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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 |
$loc['typeJournal Article'] |
Year |
2000 |
Publication |
Monthly Weather Review |
Abbreviated Journal |
Mon. Wea. Rev. |
Volume |
128 |
Issue |
3 |
Pages |
689-708 |
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ISSN |
0027-0644 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
520 |
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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 |
$loc['typeJournal Article'] |
Year |
2007 |
Publication |
Journal of Geophysical Research |
Abbreviated Journal |
J. Geophys. Res. |
Volume |
112 |
Issue |
D4 |
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ISSN |
0148-0227 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
430 |
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Author  |
Coleman, F.C.; Chanton, J.P.; Chassignet, E.P. |
Title |
Ecological Connectivity in Northeastern Gulf of Mexico – The Deep-C Initiative |
Type |
$loc['typeConference Article'] |
Year |
2014 |
Publication |
International Oil Spill Conference Proceedings |
Abbreviated Journal |
International Oil Spill Conference Proceedings |
Volume |
2014 |
Issue |
1 |
Pages |
1972-1984 |
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ISSN |
2169-3366 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
158 |
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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 |
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Abstract |
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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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Editor |
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Language |
English |
Summary Language |
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Series Editor |
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Edition |
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ISSN |
0036-8075 |
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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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English |
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0036-8075 |
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Funding |
strtoupper('2').strtolower('9191900') |
Approved |
$loc['no'] |
Call Number |
COAPS @ rl18 @ |
Serial |
989 |
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Author  |
Collier, C. |
Title |
Effects of Sea State on Offshore Wind Resourcing in Florida |
Type |
$loc['typeManuscript'] |
Year |
2012 |
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Department of Earth, Ocean and Atmospheric Science |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
274 |
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Author  |
Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. |
Title |
Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
International Journal of Environmental Research and Public Health |
Abbreviated Journal |
Int J Environ Res Public Health |
Volume |
13 |
Issue |
8 |
Pages |
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Keywords |
*Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health |
Abstract |
There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida. |
Address |
Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA. konrad@unc.edu |
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English |
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ISSN |
1660-4601 |
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Funding |
PMID:27517942; PMCID:PMC4997490 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
73 |
Permanent link to this record |