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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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| Call Number | COAPS @ mfield @ | Serial | 790 | ||
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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 |
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 |
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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| Call Number | COAPS @ mfield @ | Serial | 679 | ||
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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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| Call Number | COAPS @ user @ | Serial | 1090 | ||
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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 | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 257 | ||
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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 | ISBN | Medium | ||
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| Call Number | COAPS @ mfield @ | Serial | 199 | ||
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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 |
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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