| Home | << 1 2 3 4 5 6 7 8 9 10 >> [11–16] |
|
| Records | |||||
|---|---|---|---|---|---|
Author  |
Ahern, K.; Bourassa, M.A.; Hart, R.E.; Zhang, J.A.; Rogers, R.F. | ||||
| Title | Observed Kinematic and Thermodynamic Structure in the Hurricane Boundary Layer During Intensity Change | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Monthly Weather Review | Abbreviated Journal | Mon. Wea. Rev. |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | The axisymmetric structure of the inner-core hurricane boundary layer (BL) during intensification [IN; intensity tendency ≥ 20 kt (24 h)−1], weakening [WE; intensity tendency < −10 kt (24 h)−1], and steady-state [SS; the remainder] periods are analyzed using composites of GPS dropwindsondes from reconnaissance missions between 1998 and 2015. A total of 3,091 dropsondes were composited for analysis below 2.5 km elevation—1,086 during IN, 1,042 during WE, and 963 during SS. In non-intensifying hurricanes, the lowlevel tangential wind is greater outside the radius of maximum wind (RMW) than for intensifying hurricanes, implying higher inertial stability (I) at those radii for non-intensifying hurricanes. Differences in tangential wind structure (and I) between the groups also imply differences in secondary circulation. The IN radial inflow layer is of nearly equal or greater thickness than nonintensifying groups, and all groups show an inflow maximum just outside the RMW. Non-intensifying hurricanes have stronger inflow outside the eyewall region, likely associated with frictionally forced ascent out of the BL and enhanced subsidence into the BL at radii outside the RMW. Equivalent potential temperatures (θe) and conditional stability are highest inside the RMW of non-intensifying storms, which is potentially related to TC intensity. At greater radii, inflow layer θe is lowest in WE hurricanes, suggesting greater subsidence or more convective downdrafts at those radii compared to IN and SS hurricanes. Comparisons of prior observational and theoretical studies are highlighted, especially those relating BL structure to large-scale vortex structure, convection, and intensity. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0027-0644 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1031 | ||
| Permanent link to this record | |||||
| Author |
Ali, M.; Singh, N.; Kumar, M.; Zheng, Y.; Bourassa, M.; Kishtawal, C.; Rao, C. | ||||
| Title | Dominant Modes of Upper Ocean Heat Content in the North Indian Ocean | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Climate | Abbreviated Journal | Climate |
| Volume | 6 | Issue | 71 | Pages | 1 – 8 |
| Keywords | |||||
| Abstract | The thermal energy needed for the development of hurricanes and monsoons as well as any prolonged marine weather event comes from layers in the upper oceans, not just from the thin layer represented by sea surface temperature alone. Ocean layers have different modes of thermal energy variability because of the different time scales of ocean–atmosphere interaction. Although many previous studies have focused on the influence of upper ocean heat content (OHC) on tropical cyclones and monsoons, no study thus far—particularly in the North Indian Ocean (NIO)—has specifically concluded the types of dominant modes in different layers of the ocean. In this study, we examined the dominant modes of variability of OHC of seven layers in the NIO during 1998–2014. We conclude that the thermal variability in the top 50 m of the ocean had statistically significant semiannual and annual modes of variability, while the deeper layers had the annual mode alone. Time series of OHC for the top four layers were analyzed separately for the NIO, Arabian Sea, and Bay of Bengal. For the surface to 50 m layer, the lowest and the highest values of OHC were present in January and May every year, respectively, which was mainly caused by the solar radiation cycle. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2225-1154 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1030 | ||
| Permanent link to this record | |||||
| Author |
Ali, M.; Singh, N.; Kumar, M.; Zheng, Y.; Bourassa, M.; Kishtawal, C.; Rao, C. | ||||
| Title | Dominant Modes of Upper Ocean Heat Content in the North Indian Ocean | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | Climate | Abbreviated Journal | Climate |
| Volume | 6 | Issue | 3 | Pages | 71 |
| Keywords | ocean heat content; tropical cyclone heat potential; dominant modes; North Indian Ocean; SUMMER MONSOON; INTENSIFICATION; INTENSITY; PACIFIC | ||||
| Abstract | The thermal energy needed for the development of hurricanes and monsoons as well as any prolonged marine weather event comes from layers in the upper oceans, not just from the thin layer represented by sea surface temperature alone. Ocean layers have different modes of thermal energy variability because of the different time scales of ocean-atmosphere interaction. Although many previous studies have focused on the influence of upper ocean heat content (OHC) on tropical cyclones and monsoons, no study thus farparticularly in the North Indian Ocean (NIO)has specifically concluded the types of dominant modes in different layers of the ocean. In this study, we examined the dominant modes of variability of OHC of seven layers in the NIO during 1998-2014. We conclude that the thermal variability in the top 50 m of the ocean had statistically significant semiannual and annual modes of variability, while the deeper layers had the annual mode alone. Time series of OHC for the top four layers were analyzed separately for the NIO, Arabian Sea, and Bay of Bengal. For the surface to 50 m layer, the lowest and the highest values of OHC were present in January and May every year, respectively, which was mainly caused by the solar radiation cycle. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2225-1154 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ rl18 @ | Serial | 986 | ||
| Permanent link to this record | |||||
| Author |
Ali, M.M.; Bhat, G.S.; Long, D.G.; Bharadwaj, S.; Bourassa, M.A. | ||||
| Title | Estimating Wind Stress at the Ocean Surface From Scatterometer Observations | Type | $loc['typeJournal Article'] | ||
| Year | 2013 | Publication | IEEE Geoscience and Remote Sensing Letters | Abbreviated Journal | IEEE Geosci. Remote Sensing Lett. |
| Volume | 10 | Issue | 5 | Pages | 1129-1132 |
| Keywords | Atmospheric stability; neutral stability; scatterometer; wind stress | ||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1545-598X | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | NASA, OVWST | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 184 | ||
| Permanent link to this record | |||||
| Author |
Ali, M.M.; Bhowmick, S.A.; Sharma, R.; Chaudhury, A.; Pezzullo, J.C.; Bourassa, M.A.; Ramana, I.V.; Niharika, K. | ||||
| Title | An Artificial Neural Network Model Function (AMF) for SARAL-Altika Winds | Type | $loc['typeJournal Article'] | ||
| Year | 2015 | Publication | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Abbreviated Journal | IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing |
| Volume | 8 | Issue | 11 | Pages | 5317-5323 |
| Keywords | AltiKa; artificial neural network (ANN); geophysical data records; wind speed | ||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1939-1404 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 118 | ||
| Permanent link to this record | |||||
| Author |
Ali, M.M.; Bourassa, M.A.; Bhowmick, S.A.; Sharma, R.; Niharika, K. | ||||
| Title | Retrieval of Wind Stress at the Ocean Surface From AltiKa Measurements | Type | $loc['typeJournal Article'] | ||
| Year | 2016 | Publication | IEEE Geoscience and Remote Sensing Letters | Abbreviated Journal | IEEE Geosci. Remote Sensing Lett. |
| Volume | 13 | Issue | 6 | Pages | 821-825 |
| Keywords | AltiKa; artificial neural networks (ANNs); wind stress | ||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1545-598X | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 29 | ||
| Permanent link to this record | |||||
| Author |
Ali, M.M.; Nagamani, P.V.; Sharma, N.; Venu Gopal, R.T.; Rajeevan, M.; Goni, G.J.; Bourassa, M.A. | ||||
| Title | Relationship between ocean mean temperatures and Indian summer monsoon rainfall | Type | $loc['typeJournal Article'] | ||
| Year | 2015 | Publication | Atmospheric Science Letters | Abbreviated Journal | Atmos. Sci. Lett. |
| Volume | 16 | Issue | 3 | Pages | 408-413 |
| Keywords | ocean mean temperature; Indian summer monsoon rainfall; remote sensing; sea surface height anomaly | ||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1530261X | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 94 | ||
| Permanent link to this record | |||||
| Author |
Ardhuin, F.; Chapron, B.; Maes, C.; Romeiser, R.; Gommenginger, C.; Cravatte, S.; Morrow, R.; Donlon, C.; Bourassa, M. | ||||
| Title | Satellite Doppler observations for the motions of the oceans | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Bulletin of the American Meteorological Society | Abbreviated Journal | Bull. Amer. Meteor. Soc. |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | Satellite remote sensing has revolutionized oceanography, starting from sea surface temperature, ocean color, sea level, winds, waves, and the recent addition of sea surface salinity, providing a global view of upper ocean processes. The possible addition of a direct measurement of surface velocities related to currents, winds and waves opens great opportunities for research and applications. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0003-0007 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1025 | ||
| Permanent link to this record | |||||
| Author |
Arguez, A.; Bourassa, M.A.; O'Brien, J.J. | ||||
| Title | Detection of the MJO Signal from QuikSCAT | Type | $loc['typeJournal Article'] | ||
| Year | 2005 | Publication | Journal of Atmospheric and Oceanic Technology | Abbreviated Journal | J. Atmos. Oceanic Technol. |
| Volume | 22 | Issue | 12 | Pages | 1885-1894 |
| Keywords | |||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0739-0572 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | NASA, NOAA, NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 445 | ||
| Permanent link to this record | |||||
| Author |
Armstrong, E. M.; Bourassa, M. A.; Cram, T.; Elya, J. L.; Greguska, F. R., III; Huang, T.; Jacob, J. C.; Ji, Z.; Jiang, Y.; Li, Y.; McGibbney, L. J.; Quach, N.; Smith, S. R.; Tsontos, V. M.; Wilson, B. D.; Worley, S. J.; Yang, C. P. | ||||
| Title | An information technology foundation for fostering interdisciplinary oceanographic research and analysis | Type | $loc['typeAbstract'] | ||
| Year | 2018 | Publication | American Geophysical Union | Abbreviated Journal | AGU |
| Volume | Fall Meeting | Issue | Pages | ||
| Keywords | 1914 Data mining, INFORMATICSDE: 4805 Biogeochemical cycles, processes, and modeling, OCEANOGRAPHY: BIOLOGICAL AND CHEMICALDE: 4273 Physical and biogeochemical interactions, OCEANOGRAPHY: GENERALDE: 4504 Air/sea interactions, OCEANOGRAPHY: PHYSICAL | ||||
| Abstract | Before complex analysis of oceanographic or any earth science data can occur, it must be placed in the proper domain of computing and software resources. In the past this was nearly always the scientist's personal computer or institutional computer servers. The problem with this approach is that it is necessary to bring the data products directly to these compute resources leading to large data transfers and storage requirements especially for high volume satellite or model datasets. In this presentation we will present a new technological solution under development and implementation at the NASA Jet Propulsion Laboratory for conducting oceanographic and related research based on satellite data and other sources. Fundamentally, our approach for satellite resources is to tile (partition) the data inputs into cloud-optimized and computation friendly databases that allow distributed computing resources to perform on demand and server-side computation and data analytics. This technology, known as NEXUS, has already been implemented in several existing NASA data portals to support oceanographic, sea-level, and gravity data time series analysis with capabilities to output time-average maps, correlation maps, Hovmöller plots, climatological averages and more. A further extension of this technology will integrate ocean in situ observations, event-based data discovery (e.g., natural disasters), data quality screening and additional capabilities. This particular activity is an open source project known as the Apache Science Data Analytics Platform (SDAP) (https://sdap.apache.org), and colloquially as OceanWorks, and is funded by the NASA AIST program. It harmonizes data, tools and computational resources for the researcher allowing them to focus on research results and hypothesis testing, and not be concerned with security, data preparation and management. We will present a few oceanographic and interdisciplinary use cases demonstrating the capabilities for characterizing regional sea-level rise, sea surface temperature anomalies, and ocean hurricane responses. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | 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 | 1004 | ||
| Permanent link to this record | |||||
2000 Levy Avenue
Building A, Suite 292
Tallahassee, FL 32306-2741
Phone: (850) 644-4581
Fax: (850) 644-4841
contact@coaps.fsu.edu
