Records |
Author |
Hong, C. H.; Hurlburt, H. E.; Melsom, A.; Metzger, E. J.; Meyers, S. D.; O'Brien, J. J. |
Title |
The role of tropically forced coastal Kelvin waves on the stability of the coastal circulation along western north America |
Type |
$loc['typeConference Article'] |
Year |
1997 |
Publication |
CAS/JSC Working Group, (WMO/ICSU/IOC) |
Abbreviated Journal |
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Volume |
25 |
Issue |
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Pages |
848-849 |
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Publisher |
CAS/JSC Working Group |
Place of Publication |
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Editor |
Boer, G. J. |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
731 |
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Author |
Hoogenboom, G., C.W. Fraisse, J.W. Jones, K.T. Ingram, J.J. O'Brien, J.G. Bellow, D. Zierden, D.E. Stooksbury, J.O. Paz, A. Garcia y Garcia, L.C. Guerra, D. Letson, N.E. Breuer, V.C. Cabrera, L.U. Hatch and C. Roncoli |
Title |
Climate-Based Agricultural Risk Management Tools for Florida, Georgia and Alabama, USA |
Type |
$loc['typeBook Chapter'] |
Year |
2007 |
Publication |
Climate Prediction and Agriculture |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
273-278 |
Keywords |
Maize; Argentina; Flint |
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Publisher |
Springer |
Place of Publication |
Berlin, Heidelberg |
Editor |
Sivakumar M.V.K.; Hansen J. |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
701 |
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Author |
Hou, T.Y.; Yan, M.P.; Wu, Z. |
Title |
A Variant Of The Emd Method For Multi-Scale Data |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Advances in Adaptive Data Analysis |
Abbreviated Journal |
Adv. Adapt. Data Anal. |
Volume |
01 |
Issue |
04 |
Pages |
483-516 |
Keywords |
Empirical Mode Decomposition (EMD); adaptive data analysis; sparse representation |
Abstract |
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Series Editor |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1793-5369 |
ISBN |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
670 |
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Author |
Hu, X.; Cai, M.; Yang, S.; Wu, Z. |
Title |
Delineation of thermodynamic and dynamic responses to sea surface temperature forcing associated with El Niño |
Type |
$loc['typeJournal Article'] |
Year |
2018 |
Publication |
Climate Dynamics |
Abbreviated Journal |
Clim Dyn |
Volume |
51 |
Issue |
11-12 |
Pages |
4329-4344 |
Keywords |
El Niño; SST anomalies; Thermodynamic and dynamic responses; Gill-type response |
Abstract |
A new framework is proposed to gain a better understanding of the response of the atmosphere over the tropical Pacific to the radiative heating anomaly associated with the sea surface temperature (SST) anomaly in canonical El Niño winters. The new framework is based on the equilibrium balance between thermal radiative cooling anomalies associated with air temperature response to SST anomalies and other thermodynamic and dynamic processes. The air temperature anomalies in the lower troposphere are mainly in response to radiative heating anomalies associated with SST, atmospheric water vapor, and cloud anomalies that all exhibit similar spatial patterns. As a result, air temperature induced thermal radiative cooling anomalies would balance out most of the radiative heating anomalies in the lower troposphere. The remaining part of the radiative heating anomalies is then taken away by an enhancement (a reduction) of upward energy transport in the central-eastern (western) Pacific basin, a secondary contribution to the air temperature anomalies in the lower troposphere. Above the middle troposphere, radiative effect due to water vapor feedback is weak. Thermal radiative cooling anomalies are mainly in balance with the sum of latent heating anomalies, vertical and horizontal energy transport anomalies associated with atmospheric dynamic response and the radiative heating anomalies due to changes in cloud. The pattern of Gill-type response is attributed mainly to the non-radiative heating anomalies associated with convective and large-scale energy transport. The radiative heating anomalies associated with the anomalies of high clouds also contribute positively to the Gill-type response. This sheds some light on why the Gill-type atmospheric response can be easily identifiable in the upper atmosphere. |
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Series Volume |
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Edition |
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ISSN |
0930-7575 |
ISBN |
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Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
997 |
Permanent link to this record |
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Author |
Huang, N.E.; Wu, Z.; Long, S.R.; Arnold, K.C.; Chen, X.; Blank, K. |
Title |
On Instantaneous Frequency |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Advances in Adaptive Data Analysis |
Abbreviated Journal |
Adv. Adapt. Data Anal. |
Volume |
01 |
Issue |
02 |
Pages |
177-229 |
Keywords |
Instantaneous frequency; Hilbert transform; quadrature; empirical mode decomposition; normalized intrinsic mode function; empirical AM/FM decomposition |
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ISSN |
1793-5369 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
668 |
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Author |
Huang, N.E.; Wu, Z.; Pinzón, J.E.; Parkinson, C.L.; Long, S.R.; Blank, K.; Gloersen, P.; Chen, X. |
Title |
Reductions Of Noise And Uncertainty In Annual Global Surface Temperature Anomaly Data |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Advances in Adaptive Data Analysis |
Abbreviated Journal |
Adv. Adapt. Data Anal. |
Volume |
01 |
Issue |
03 |
Pages |
447-460 |
Keywords |
Global temperature change; down sampling; HHT filtering |
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Series Editor |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1793-5369 |
ISBN |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
671 |
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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'] |
Call Number |
COAPS @ user @ |
Serial |
1038 |
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Author |
Hughes, P. J.; Bourassa, M. A.; Rolph, J.; Smith, S. R. |
Title |
Interdecadal Variability of Surface Heat Fluxes Over the Atlantic Ocean |
Type |
$loc['typeReport'] |
Year |
2006 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
2:17-18 |
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Publisher |
World Meteorological Organization |
Place of Publication |
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Editor |
Cote, J. |
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Series Title |
CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling |
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Funding |
NOAA, NSF |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
923 |
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Author |
Hurlburt, H. E.; Chassignet, E. P.; Cummings, J. A.; Kara, A. B.; Metzger, E. J.; Shriver, J. F.; Smedstad, O. M.; Wallcraft, A. J.; Barron, C. N. |
Title |
Eddy-Resolving Global Ocean Prediction |
Type |
$loc['typeBook Chapter'] |
Year |
2008 |
Publication |
Ocean Modeling in an Eddying Regime |
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Pages |
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Publisher |
Ocean Modeling in an Eddying Regime |
Place of Publication |
Washington, DC |
Editor |
Hecht, M. W.; Hasumi, H. |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
694 |
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Author |
Hurlburt, H.; Brassington, G.; Drillet, Y.; Kamachi, M.; Benkiran, M.; Bourdallé-Badie, R.; Chassignet, E.; Jacobs, G.; Galloudec, O.; Lellouche, J.-M.; Metzger, E.J.; Oke, P.; Pugh, T.; Schiller, A.; Smedstad, O.; Tranchant, B.; Tsujino, H.; Usui, N.; Wallcraft, A. |
Title |
High-Resolution Global and Basin-Scale Ocean Analyses and Forecasts |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Oceanography |
Abbreviated Journal |
Oceanog. |
Volume |
22 |
Issue |
3 |
Pages |
110-127 |
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Edition |
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ISSN |
1042-8275 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
675 |
Permanent link to this record |