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Author Bourassa, M.A. ; Legler, D.M. ; O'Brien, J.J. ; Smith, S.R.
Title SeaWinds validation with research vessels Type $loc['typeJournal Article']
Year 2003 Publication Journal of Geophysical Research: Oceans Abbreviated Journal J. Geophys. Res.
Volume 108
Issue C2
Pages
Keywords remote sensing ; SeaWinds ; validation ; ocean ; winds
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0148-0227
ISBN Medium
Area Expedition Conference
Funding NASA, NSF, ONR
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 484
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Author Bourassa, M.A. ; Romero, R. ; Smith, S.R. ; O'Brien, J.J.
Title A New FSU Winds Climatology Type $loc['typeJournal Article']
Year 2005 Publication Journal of Climate Abbreviated Journal J. Climate
Volume 18
Issue 17
Pages 3686-3698
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0894-8755
ISBN Medium
Area Expedition Conference
Funding NASA, NOAA, NSF, ONR
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 449
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Author Bourassa, MA ; Smith, SR ; O'Brien, JJ
Title Assimilation of scatterometer and in situ winds for regularly gridded products Type $loc['typeConference Article']
Year 2002 Publication 6th Symposium on Integrated Observing Systems Abbreviated Journal
Volume Issue Pages 161-165
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Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference 6th Symposium on Integrated Observing Systems
Funding NASA, SEAWIDNS, OVWST
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 500
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Author Brolley, J.M. ; O'Brien, J.J. ; Schoof, J. ; Zierden, D.
Title Experimental drought threat forecast for Florida Type $loc['typeJournal Article']
Year 2007 Publication Agricultural and Forest Meteorology Abbreviated Journal Agricultural and Forest Meteorology
Volume 145
Issue 1-2
Pages 84-96
Keywords wildfires ; Keetch-Byram drought index ; drought ; El Nino/Southern oscillation ; spectral weather generator
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0168-1923
ISBN Medium
Area Expedition Conference
Funding USDA and NOAA
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 422
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Author 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
Volume Issue Pages
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Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ user @
Serial 1090
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Author Buchanan, S. ; Misra, V. ; Bhardwaj, A.
Title https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.5450 Type $loc['typeJournal Article']
Year 2018 Publication International Journal of Climatology Abbreviated Journal
Volume 38
Issue 6
Pages 2651-2661
Keywords
Abstract The integrated kinetic energy (IKE) of a tropical cyclone (TC), a volume integration of the surface winds around the centre of the TC, is computed from a comprehensive surface wind (National Aeronautics and Space Administration’s (NASA) cross‐calibrated multi‐platform [CCMP]) analysis available over the global oceans to verify against IKE from wind radii estimates of extended best‐track data maintained by NOAA for the North Atlantic TCs. It is shown that CCMP surface wind analysis severely underestimates IKE largely from not resolving hurricane force winds for majority of the Atlantic TCs, under sampling short‐lived and small‐sized TCs. The seasonal cycle of the North Atlantic TC IKE also verifies poorly in the CCMP analysis. In this article we introduce proxy IKE (PIKE) based on the kinetic energy of the winds at the radius of the last closed isobar (ROCI), which shows promise for a wide range of TC sizes including the smaller‐sized TCs unresolved in the CCMP data set.
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ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 551
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Author Carstens, J
Title Tropical Cyclogenesis from Self-aggregated Convection in Numerical Simulations of Rotating Radiative-convective Equilibrium Type $loc['typeManuscript']
Year 2019 Publication Dissertations & Theses Abbreviated Journal Dissertations & Theses
Volume Issue Pages
Keywords
Abstract Organized convection is of critical importance in the tropical atmosphere. Recent advances in numerical modeling have revealed that moist convection can interact with its environment to transition from a quasi-random to organized state. This phenomenon, known as convective self-aggregation,is aided by feedbacks involving clouds, water vapor, and radiation that increase the spatial variance of column-integrated frozen moist static energy. Prior studies have shown self-aggregation to takeseveral different forms, including that of spontaneous tropical cyclogenesis in an environment of rotating radiative-convective equilibrium (RCE). This study expands upon previous work to address the processes leading to tropical cyclogenesis in this rotating RCE framework. More specifically,a three-dimensional, cloud-resolving numerical model is used to examine the self-aggregation of convection and potential cyclogenesis, and the background planetary vorticity is varied on an f-plane across simulations to represent a range of deep tropical and near-equatorial environments.Convection is initialized randomly in an otherwise homogeneous environment, with no background wind, precursor disturbance, or other synoptic-scale forcing.All simulations with planetary vorticity corresponding to latitudes from 10°to 20°generate intense tropical cyclones, with maximum wind speeds of 80 m s−1or above. Time to genesis varies widely, even within a five-member ensemble of 20°simulations, reflecting a potential degree of stochastic variability based in part on the initial random distribution of convection. Shared across this so-called “high-f” group is the emergence of a midlevel vortex in the days leading to genesis,which has dynamic and thermodynamic implications on its environment that facilitate the spinup of a low-level vortex. Tropical cyclogenesis is possible in this model even at values of Coriolis parameter as low as that representative of 1°. In these experiments, convection self-aggregates into a quasi-circular cluster, which then begins to rotate and gradually strengthen into a tropical storm, aided by near-surface inflow and shallow overturning radial circulations aloft within the aggregated cluster. Other experiments at these lower Coriolis parameters instead self-aggregate into an elongated band and fail to undergo cyclogenesis over the 100-day simulation. A large portion of this study is devoted to examining in greater detail the dynamic and thermodynamic evolution of cyclogenesis in these experiments and comparing the physical mechanisms to current theories.
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Publisher Florida State University - FCLA; ProQuest Dissertations & Theses Global
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 @ user @
Serial 1054
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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
Corporate Author Thesis
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 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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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2296-7745
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ user @
Serial 1067
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Author Davidson, F. ; Alvera-Azcárate, A. ; Barth, A. ; Brassington, G.B. ; Chassignet, E.P. ; Clementi, E. ; De Mey-Frémaux, P. ; Divakaran, P. ; Harris, C. ; Hernandez, F. ; Hogan, P. ; Hole, L.R. ; Holt, J. ; Liu, G. ; Lu, Y. ; Lorente, P. ; Maksymczuk, J. ; Martin, M. ; Mehra, A. ; Melsom, A. ; Mo, H. ; Moore, A. ; Oddo, P. ; Pascual, A. ; Pequignet, A.-C. ; Kourafalou, V. ; Ryan, A. ; Siddorn, J. ; Smith, G. ; Spindler, D. ; Spindler, T. ; Stanev, E.V. ; Staneva, J. ; Storto, A. ; Tanajura, C. ; Vinayachandran, P.N. ; Wan, L. ; Wang, H. ; Zhang, Y. ; Zhu, X. ; Zu, Z.
Title Synergies in Operational Oceanography: The Intrinsic Need for Sustained Ocean Observations Type $loc['typeJournal Article']
Year 2019 Publication Frontiers in Marine Science Abbreviated Journal Front. Mar. Sci.
Volume 6
Issue Pages
Keywords
Abstract Operational oceanography can be described as the provision of routine oceanographic information needed for decision-making purposes. It is dependent upon sustained research and development through the end-to-end framework of an operational service, from observation collection to delivery mechanisms. The core components of operational oceanographic systems are a multi-platform observation network, a data management system, a data assimilative prediction system, and a dissemination/accessibility system. These are interdependent, necessitating communication and exchange between them, and together provide the mechanism through which a clear picture of ocean conditions, in the past, present, and future, can be seen. Ocean observations play a critical role in all aspects of operational oceanography, not only for assimilation but as part of the research cycle, and for verification and validation of products. Data assimilative prediction systems are advancing at a fast pace, in tandem with improved science and the growth in computing power. To make best use of the system capability these advances would be matched by equivalent advances in operational observation coverage. This synergy between the prediction and observation systems underpins the quality of products available to stakeholders, and justifies the need for sustained ocean observations. In this white paper, the components of an operational oceanographic system are described, highlighting the critical role of ocean observations, and how the operational systems will evolve over the next decade to improve the characterization of ocean conditions, including at finer spatial and temporal scales.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2296-7745
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ user @
Serial 1083
Permanent link to this record
