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Author (up) Bourassa, M. A.; Pegion, P. J.; Legler, D. M.; O'Brien, J. J.
Title An objective technique for global gridded daily wind fields Type $loc['typeConference Article']
Year 1999 Publication Proceedings from the QuikSCAT Cal/Val – Early Science Meeting, [Available from Scatterometer Projects Office, Jet Propulsion Lab., Pasadena, CA 91109], Arcadia, CA, USA Abbreviated Journal
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 790
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Author (up) Bourassa, M.A.; Vincent, D.G.; Wood, W.L.
Title A Flux Parameterization Including the Effects of Capillary Waves and Sea State Type $loc['typeJournal Article']
Year 1999 Publication Journal of the Atmospheric Sciences Abbreviated Journal J. Atmos. Sci.
Volume 56 Issue 9 Pages 1123-1139
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ISSN 0022-4928 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 531
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Author (up) Bourassa, MA; Weissman, DE
Title The development and application of a sea surface stress model function for the QuikSCAT and ADEOS-II SeaWinds scatterometers Type $loc['typeConference Article']
Year 2003 Publication IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) Abbreviated Journal
Volume Issue Pages 239-241
Keywords component; surface stress; SeaWinds; scatterometer; validation
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Area Expedition Conference 23rd International Geoscience and Remote Sensing Symposium (IGARSS 2003)
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 485
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Author (up) Bozec, A., Kageyama, M., Ramstein, G., Creepon, M.
Title Impact of a Last Glacial Maximum sea-level drop on the Mediterranean Sea Type $loc['typeJournal Article']
Year 2008 Publication Earth and Planetary Science Letters Abbreviated Journal
Volume Issue Pages submitted
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 679
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Author (up) Bruno-Piverger, R.E.
Title Applying Neural Networks to Simulate Visual Inspection of Observational Weather Data Type $loc['typeJournal Article']
Year 2019 Publication Florida State University College of Arts and Sciences, Master's Thesis Abbreviated Journal
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Funding Approved $loc['no']
Call Number COAPS @ user @ Serial 1090
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Author (up) Cammarano, D.; Basso, B.; Stefanova, L.; Grace, P.
Title Adapting wheat sowing dates to projected climate change in the Australian subtropics: analysis of crop water use and yield Type $loc['typeJournal Article']
Year 2012 Publication Crop and Pasture Science Abbreviated Journal Crop Pasture Sci.
Volume 63 Issue 10 Pages 974
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ISSN 1836-0947 ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 257
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Author (up) 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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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1741-5977 ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 199
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Author (up) 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
Series Editor Series Title Abbreviated Series 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 (up) 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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Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0036-8075 ISBN Medium
Area Expedition Conference
Funding strtoupper('2').strtolower('9191900') Approved $loc['no']
Call Number COAPS @ rl18 @ Serial 989
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Author (up) 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
Keywords
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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Series Editor Series Title Abbreviated Series Title
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ISSN 2296-7745 ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ user @ Serial 1067
Permanent link to this record

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