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| Author | Deng, J.; Wu, Z.; Zhang, M.; Huang, N.E.; Wang, S.; Qiao, F. | ||||
| Title | Data concerning statistical relation between obliquity and Dansgaard-Oeschger events | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Abbreviated Journal | Data Brief | |
| Volume | 23 | Issue | Pages | ||
| Keywords | Dansgaard-Oeschger events; Obliquity; Surrogate data; Time-varying Shannon entropy | ||||
| Abstract | Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al. (2018) are analyzed on the foundation of ensemble empirical mode decomposition (EEMD) (Z.H. Wu and N.E. Huang, 2009), and reveal more occurrences of Dansgaard-Oeschger (DO) events in the decreasing phase of obliquity. Here, we report the number of significant high Shannon entropy (SE) (C.E. Shannon and W. Weaver, 1949) of 95% significance level of DO events in the increasing and decreasing phases of obliquity, respectively. First, the proxy time series are filtered by EEMD to obtain DO events. Then, the time-varying SE of DO modes are calculated on the basis of principle of histogram. The 95% significance level is evaluated through surrogate data (T. Schreiber and A. Schmitz, 1996). Finally, a comparison between the numbers of SE values that are larger than 95% significance level in the increasing and decreasing phases of obliquity, respectively, is reported. | ||||
| Address | Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, PR China | ||||
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| Language | English | Summary Language | Original Title | ||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 2352-3409 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | strtoupper('3').strtolower('1372394'); strtoupper('P').strtolower('MC6660458') | Approved | $loc['no'] | ||
| Call Number | COAPS @ user @ | Serial | 1068 | ||
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| Author | Deremble, B.; Dewar, W.K.; Chassignet, E.P. | ||||
| Title | Vorticity dynamics near sharp topographic features | Type | $loc['typeJournal Article'] | ||
| Year | 2016 | Publication | Journal of Marine Research | Abbreviated Journal | J Mar Res |
| Volume | 74 | Issue | 6 | Pages | 249-276 |
| Keywords | vorticity conservation; point vortex; vortex sheet; singularities | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0022-2402 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 231 | ||
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| Author | Devanas, A.; Stefanova, L. | ||||
| Title | Statistical Prediction Of Waterspout Probability For The Florida Keys | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | Weather and Forecasting | Abbreviated Journal | Wea. Forecasting |
| Volume | 33 | Issue | Pages | 389-410 | |
| Keywords | Regression analysis; Forecast verification/skill; Forecasting techniques; Probability forecasts/models/distribution; Statistical forecasting | ||||
| Abstract | A statistical model of waterspout probability was developed for wet-season (June–September) days over the Florida Keys. An analysis was performed on over 200 separate variables derived from Key West 1200 UTC daily wet-season soundings during the period 2006–14. These variables were separated into two subsets: days on which a waterspout was reported anywhere in the Florida Keys coastal waters and days on which no waterspouts were reported. Days on which waterspouts were reported were determined from the National Weather Service (NWS) Key West local storm reports. The sounding at Key West was used for this analysis since it was assumed to be representative of the atmospheric environment over the area evaluated in this study. The probability of a waterspout report day was modeled using multiple logistic regression with selected predictors obtained from the sounding variables. The final model containing eight separate variables was validated using repeated fivefold cross validation, and its performance was compared to that of an existing waterspout index used as a benchmark. The performance of the model was further validated in forecast mode using an independent verification wet-season dataset from 2015–16 that was not used to define or train the model. The eight-predictor model was found to produce a probability forecast with robust skill relative to climatology and superior to the benchmark waterspout index in both the cross validation and in the independent verification. | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0882-8156 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 553 | ||
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| Author | DiNapoli, S | ||||
| Title | Determining the Error Characteristics of H*WIND | Type | $loc['typeManuscript'] | ||
| Year | 2010 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Hurricane, Tropical Cyclones, Wind Analysis, Uncertainty | ||||
| Abstract | The HRD Real-time Hurricane Wind Analysis System (H*Wind) is a software application used by NOAA's Hurricane Research Division to create a gridded tropical cyclone wind analysis based on a wide range of observations. One application of H*Wind fields is calibration of scatterometers for high wind speed environments. Unfortunately, the accuracy of the H*Wind product has not been studied extensively, and therefore the accuracy of scatterometer calibrations in these environments is also unknown. This investigation seeks to determine the uncertainty in the H*Wind product and estimate the contributions of several potential error sources. These error sources include random observation errors, relative bias between different data types, temporal drift resulting from combining non-simultaneous measurements, and smoothing and interpolation errors in the H*Wind software. The effects of relative bias between different data types and random observation errors are determined by performing statistical calculations on the observed wind speeds. We show that in the absence of large biases, the total contribution of all error sources results in an uncertainty of approximately 7% near the storm center, which increases to nearly 15% near the tropical storm force wind radius. The H*Wind analysis algorithm is found to introduce a positive bias to the wind speeds near the storm center, where the analyzed wind speeds are enhanced to match the highest observations. In addition, spectral analyses are performed to ensure that the filter wavelength of the final analysis product matches user specifications. With increased knowledge of these error sources and their effects, researchers will have a better understanding of the uncertainty in the H*Wind product, and can then judge the suitability of H*Wind for various research applications | ||||
| Address | Department of Earth, Ocean, and Atmospheric Science | ||||
| Corporate Author | Thesis | $loc['Master's thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 574 | ||
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| Author | DiNapoli, S.M.; Misra, V. | ||||
| Title | Reconstructing the 20th century high-resolution climate of the southeastern United States | Type | $loc['typeJournal Article'] | ||
| Year | 2012 | Publication | Journal of Geophysical Research: Atmospheres | Abbreviated Journal | J. Geophys. Res. |
| Volume | 117 | Issue | D19 | Pages | n/a-n/a |
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0148-0227 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 238 | ||
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| Author | DiNapoli, S.M.; Bourassa, M.A.; Powell, M.D. | ||||
| Title | Uncertainty and Intercalibration Analysis of H*Wind | Type | $loc['typeJournal Article'] | ||
| Year | 2012 | Publication | Journal of Atmospheric and Oceanic Technology | Abbreviated Journal | J. Atmos. Oceanic Technol. |
| Volume | 29 | Issue | 6 | Pages | 822-833 |
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| ISSN | 0739-0572 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 249 | ||
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| Author | Dombrowsky, E.; Bertino, L.; Brassington, G.; Chassignet, E.; Davidson, F.; Hurlburt, H.; Kamachi, M.; Lee, T.; Martin, M.; Mei, S.; Tonani, M. | ||||
| Title | GODAE Systems in Operation | Type | $loc['typeJournal Article'] | ||
| Year | 2009 | Publication | Oceanography | Abbreviated Journal | Oceanog. |
| Volume | 22 | Issue | 3 | Pages | 80-95 |
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| ISSN | 1042-8275 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 382 | ||
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| Author | Domingues, R.; Kuwano-Yoshida, A.; Chardon-Maldonado, P.; Todd, R.E.; Halliwell, G.; Kim, H.-S.; Lin, I.-I.; Sato, K.; Narazaki, T.; Shay, L.K.; Miles, T.; Glenn, S.; Zhang, J.A.; Jayne, S.R.; Centurioni, L.; Le Hénaff, M.; Foltz, G.R.; Bringas, F.; Ali, M.M.; DiMarco, S.F.; Hosoda, S.; Fukuoka, T.; LaCour, B.; Mehra, A.; Sanabia, E.R.; Gyakum, J.R.; Dong, J.; Knaff, J.A.; Goni, G. | ||||
| Title | Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | 446 | |
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| Abstract | Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed. | ||||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1043 | ||
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| Author | Dukhovskoy, D; Bourassa, M | ||||
| Title | Comparison of ocean surface wind products in the perspective of ocean modeling of the Nordic Seas | Type | $loc['typeConference Article'] | ||
| Year | 2011 | Publication | OCEANS 2011 | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | scatterometer winds; Arctic Ocean; ocean modeling | ||||
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| Area | Expedition | Conference | MTS/IEEE OCEANS Conference | ||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 315 | ||
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| Author | Dukhovskoy, D.; Johnson, M.; Proshutinsky, A. | ||||
| Title | Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Journal of Geophysical Research | Abbreviated Journal | J. Geophys. Res. |
| Volume | 111 | Issue | C6 | Pages | |
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| ISSN | 0148-0227 | ISBN | Medium | ||
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| Funding | NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 437 | ||
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