Records |
Author |
Lee, C.M.; Starkweather, S.; Eicken, H.; Timmermans, M.-L.; Wilkinson, J.; Sandven, S.; Dukhovskoy, D.; Gerland, S.; Grebmeier, J.; Intrieri, J.M.; Kang, S.-H.; McCammon, M.; Nguyen, A.T.; Polyakov, I.; Rabe, B.; Sagen, H.; Seeyave, S.; Volkov, D.; Beszczynska-Möller, A.; Chafik, L.; Dzieciuch, M.; Goni, G.; Hamre, T.; King, A.L.; Olsen, A.; Raj, R.P.; Rossby, T.; Skagseth, Ø.; Søiland, H.; Sørensen, K. |
Title |
A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Frontiers in Marine Science |
Abbreviated Journal |
Front. Mar. Sci. |
Volume |
6 |
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2296-7745 |
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$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1044 |
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Author |
Fender, C.K.; Kelly, T.B.; Guidi, L.; Ohman, M.D.; Smith, M.C.; Stukel, M.R. |
Title |
Investigating Particle Size-Flux Relationships and the Biological Pump Across a Range of Plankton Ecosystem States From Coastal to Oligotrophic |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Frontiers in Marine Science |
Abbreviated Journal |
Front. Mar. Sci. |
Volume |
6 |
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2296-7745 |
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$loc['no'] |
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COAPS @ user @ |
Serial |
1074 |
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Author |
Huang, T.; Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; Elya, J.; Greguska, F.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.T.; McGibbney, L.J.; Smith, S.R.; Wilson, B.D.; Worley S.J.; Yang, C. |
Title |
An Integrated Data Analytics Platform |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Marine Science |
Abbreviated Journal |
Mar. Sci. |
Volume |
6 |
Issue |
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Pages |
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Keywords |
big data, Cloud computing, Ocean science, data analysis, Matchup, anomaly detection, open source |
Abstract |
An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform for big ocean science at NASA�s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery.
Our communities are relying on data available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements. |
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$loc['no'] |
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COAPS @ user @ |
Serial |
1038 |
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Author |
Bourassa, M.A., and P.J. Hughes |
Title |
Surface Heat Fluxes and Wind Remote Sensing |
Type |
$loc['typeBook Chapter'] |
Year |
2018 |
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Volume |
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Issue |
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Pages |
245-270 |
Keywords |
HEAT; OCEAN SURFACE; WINDS; SCATTEROMETERS; FLUXE; STRESS; RESPONSES |
Abstract |
The exchange of heat and momentum through the air-sea surface are critical aspects of ocean forcing and ocean modeling. Over most of the global oceans, there are few in situ observations that can be used to estimate these fluxes. This chapter provides background on the calculation and application of air-sea fluxes, as well as the use of remote sensing to calculate these fluxes. Wind variability makes a large contribution to variability in surface fluxes, and the remote sensing of winds is relatively mature compared to the air sea differences in temperature and humidity, which are the other key variables. Therefore, the remote sensing of wind is presented in greater detail. These details enable the reader to understand how the improper use of satellite winds can result in regional and seasonal biases in fluxes, and how to calculate fluxes in a manner that removes these biases. Examples are given of high-resolution applications of fluxes, which are used to indicate the strengths and weakness of satellite-based calculations of ocean surface fluxes. |
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Publisher |
GODAE OceanView |
Place of Publication |
Tallahassee, FL |
Editor |
Chassignet, E. P., A. Pascual, J. Tintoré, and J. Verron |
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$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
947 |
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Author |
Le Sommer, Julien; Chassignet, E.P.; Wallcraft, A. J. |
Title |
Ocean Circulation Modeling for Operational Oceanography: Current Status and Future Challenges |
Type |
$loc['typeBook Chapter'] |
Year |
2018 |
Publication |
New Frontiers in Operational Oceanography |
Abbreviated Journal |
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Issue |
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Pages |
289-305 |
Keywords |
OCEAN MODELING; OCEAN CIRCULATION; PARAMETERIZATIONS |
Abstract |
This chapter focuses on ocean circulation models used in operational oceanography, physical oceanography and climate science. Ocean circulation models area particular branch of ocean numerical modeling that focuses on the representation of ocean physical properties over spatial scales ranging from the global scale to less than a kilometer and time scales ranging from hours to decades. As such, they are an essential build-ing block for operational oceanography systems and their design receives a lot of attention from operational and research centers. |
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GODAE OceanView |
Place of Publication |
Tallahassee, FL |
Editor |
Chassignet, E. P., A. Pascual, J. Tintoré, and J. Verron |
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$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
948 |
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Author |
Harris, R; Pollman, C; Landing, W; Morey, S; Dukhovskoy, D; Axelrad, D |
Title |
Development of a dynamic Mercury cycling model for the Gulf of Mexico |
Type |
$loc['typeConference Article'] |
Year |
2010 |
Publication |
Geochimica et Cosmochimica Acta |
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74 |
Issue |
12 |
Pages |
A383-A383 |
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Conference on Goldschmidt 2010 - Earth, Energy, and the Environment |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
348 |
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Author |
Cabrera, V.E., D. Solis, G.A. Baigorria, and D. Letson |
Title |
Managing climate risks to agriculture: evidence from El Nino |
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$loc['typeReport'] |
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Southeast Climate Consortium Technical Report Series |
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14 |
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SECC |
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Gainesville, FL |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
661 |
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Author |
Sullivan, D.; Rosenfeld, L.; Smith, S.; Murphree, T. |
Title |
Oceanographic instrumentation technician, Knowledge and Skill Guidelines for Marine Science and Technology |
Type |
$loc['typeMiscellaneous'] |
Year |
2010 |
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1-20 |
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Marine Advanced Technology Education Center |
Place of Publication |
Monterey, CA |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
378 |
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Author |
Zou, M.; Xiong, X.; Wu, Z.; Li, S.; Zhang, Y.; Chen, L. |
Title |
Increase of Atmospheric Methane Observed from Space-Borne and Ground-Based Measurements |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
Volume |
11 |
Issue |
8 |
Pages |
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Keywords |
Methane increase trend; Boundary layer; Mid-upper troposphere; Satellite; AIRS |
Abstract |
It has been found that the concentration of atmospheric methane (CH4) has rapidly increased since 2007 after a decade of nearly constant concentration in the atmosphere. As an important greenhouse gas, such an increase could enhance the threat of global warming. To better quantify this increasing trend, a novel statistic method, i.e. the Ensemble Empirical Mode Decomposition (EEMD) method, was used to analyze the CH4 trends from three different measurements: the mid-upper tropospheric CH4 (MUT) from the space-borne measurements by the Atmospheric Infrared Sounder (AIRS), the CH4 in the marine boundary layer (MBL) from NOAA ground-based in-situ measurements, and the column-averaged CH4 in the atmosphere (X-CH4) from the ground-based up-looking Fourier Transform Spectrometers at Total Carbon Column Observing Network (TCCON) and the Network for the Detection of Atmospheric Composition Change (NDACC). Comparison of the CH4 trends in the mid-upper troposphere, lower troposphere, and the column average from these three data sets shows that, overall, these trends agree well in capturing the abrupt CH4 increase in 2007 (the first peak) and an even faster increase after 2013 (the second peak) over the globe. The increased rates of CH4 in the MUT, as observed by AIRS, are overall smaller than CH4 in MBL and the column-average CH4. During 2009-2011, there was a dip in the increase rate for CH4 in MBL, and the MUT-CH4 increase rate was almost negligible in the mid-high latitude regions. The increase of the column-average CH4 also reached the minimum during 2009-2011 accordingly, suggesting that the trends of CH4 are not only impacted by the surface emission, however that they also may be impacted by other processes like transport and chemical reaction loss associated with [OH]. One advantage of the EEMD analysis is to derive the monthly rate and the results show that the frequency of the variability of CH4 increase rates in the mid-high northern latitude regions is larger than those in the tropics and southern hemisphere. |
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2072-4292 |
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$loc['no'] |
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COAPS @ user @ |
Serial |
1055 |
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Author |
Bhardwaj, A.; Misra, V. |
Title |
Monitoring the Indian Summer Monsoon Evolution at the Granularity of the Indian Meteorological Sub-divisions using Remotely Sensed Rainfall Products |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
Volume |
11 |
Issue |
9 |
Pages |
1080 |
Keywords |
Indian Summer Monsoon; GPM; TRMM satellite precipitation; meteorological sub-divisions |
Abstract |
We make use of satellite-based rainfall products from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) to objectively define local onset and demise of the Indian Summer Monsoon (ISM) at the spatial resolution of the meteorological subdivisions defined by the Indian Meteorological Department (IMD). These meteorological sub-divisions are the operational spatial scales for official forecasts issued by the IMD. Therefore, there is a direct practical utility to target these spatial scales for monitoring the evolution of the ISM. We find that the diagnosis of the climatological onset and demise dates and its variations from the TMPA product is quite similar to the rain gauge based analysis of the IMD, despite the differences in the duration of the two datasets. This study shows that the onset date variations of the ISM have a significant impact on the variations of the seasonal length and seasonal rainfall anomalies in many of the meteorological sub-divisions: for example, the early or later onset of the ISM is associated with longer and wetter or shorter and drier ISM seasons, respectively. It is shown that TMPA dataset (and therefore its follow up Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG)) could be usefully adopted for monitoring the onset of the ISM and therefore extend its use to anticipate the potential anomalies of the seasonal length and seasonal rainfall anomalies of the ISM in many of the Indian meteorological sub-divisions. View Full-Text |
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2072-4292 |
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$loc['no'] |
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COAPS @ user @ |
Serial |
1026 |
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