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Leonardi, A.P.; Hurlburt, H. E.; O'Brien, J. J.; Subrahmanyam, B. | ||||
| Title | Comparison of Modeled and Remotely Sensed Rossby Waves in the Subtropical North Pacific | Type | $loc['typeReport'] | ||
| Year | 2000 | Publication | Abbreviated Journal | ||
| Volume | 30 | Issue | Pages | 987 | |
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| Publisher | Place of Publication | Editor | Ritchie, H. | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 798 | ||
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| Author |
Leonardi, A.P.; Morey, S.L.; O'Brien, J.J. | ||||
| Title | Interannual Variability in the Eastern Subtropical North Pacific Ocean | Type | $loc['typeJournal Article'] | ||
| Year | 2002 | Publication | Journal of Physical Oceanography | Abbreviated Journal | J. Phys. Oceanogr. |
| Volume | 32 | Issue | 6 | Pages | 1824-1837 |
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| ISSN | 0022-3670 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | NASA, ONR | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 496 | ||
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| Author |
Letson, D.; Hansen, J.; Hildebrand, P.; Jones, J. W.; O'Brien, J. J.; Podesta, G.; Royce, F.; Zierden, D. | ||||
| Title | Florida's Agriculture and Climatic Variability: Reducing Vulnerability | Type | $loc['typeJournal Article'] | ||
| Year | 2001 | Publication | The Florida Geographer | Abbreviated Journal | |
| Volume | 32 | Issue | Pages | 38-57 | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 810 | ||
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| Author |
Lim, Y.-K. | ||||
| Title | Applied meteorology in southeastern United States: Application to primary industry and prevention of hurricane damage | Type | $loc['typeMagazine Article'] | ||
| Year | 2008 | Publication | Meteorological technology and policy | Abbreviated Journal | |
| Volume | 1 | Issue | 2 | Pages | 55-64 |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 691 | ||
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| Author |
Lim, Y.-K., D. W. Shin, T. E. LaRow, and S. Cocke | ||||
| Title | Categorical predictability of regionalized surface temperature and precipitation over the southeast United States | Type | $loc['typeReport'] | ||
| Year | 2007 | Publication | Research Activities in Atmospheric and Ocean Modeling | Abbreviated Journal | |
| Volume | Issue | Pages | 7-11 | ||
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| Publisher | CAS/JSC Working Group on Numerical Experimentation | Place of Publication | Editor | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 704 | ||
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| Author |
Lim, Y.-K.; Kim, K.-Y. | ||||
| Title | A New Perspective on the Climate Prediction of Asian Summer Monsoon Precipitation | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Journal of Climate | Abbreviated Journal | J. Climate |
| Volume | 19 | Issue | 19 | Pages | 4840-4853 |
| Keywords | Monsoons; Asia; Intraseasonal variability; Precipitation | ||||
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| ISSN | 0894-8755 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 708 | ||
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| Author |
Lim, Y.-K.; LaRow, T. E.; O'Brien, J. J.; Shin, D. W. | ||||
| Title | Statistical downscaling of the FSUGSM temperature over the southeast United States | Type | $loc['typeReport'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 5-33 | ||
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| Series Editor | Series Title | Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation | Abbreviated Series Title | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 928 | ||
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| Author |
Lim, Y.-K.; Shin, D.W.; Cocke, S.; LaRow, T.E.; Schoof, J.T.; O'Brien, J.J.; Chassignet, E.P. | ||||
| Title | Dynamically and statistically downscaled seasonal simulations of maximum surface air temperature over the southeastern United States | Type | $loc['typeJournal Article'] | ||
| Year | 2007 | Publication | Journal of Geophysical Research | Abbreviated Journal | J. Geophys. Res. |
| Volume | 112 | Issue | D24 | Pages | |
| Keywords | downscaling; temperature; regional climate | ||||
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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 | 700 | ||
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| Author |
Liu, M.; Lin, J.; Wang, Y.; Sun, Y.; Zheng, B.; Shao, J.; Chen, L.; Zheng, Y.; Chen, J.; Fu, T.-M.; Yan, Y.; Zhang, Q.; Wu, Z. | ||||
| Title | Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | Atmospheric Chemistry and Physics | Abbreviated Journal | Atmos. Chem. Phys. |
| Volume | 18 | Issue | 17 | Pages | 12933-12952 |
| Keywords | TROPOSPHERIC NITROGEN-DIOXIDE; PROVINCIAL CAPITAL CITIES; CRITERIA AIR-POLLUTANTS; BOUNDARY-LAYER; NORTH CHINA; HILBERT SPECTRUM; UNITED-STATES; TIME-SERIES; OZONE; EMISSIONS | ||||
| Abstract | Eastern China (27-41 degrees N, 110-123 degrees E) is heavily polluted by nitrogen dioxide (NO2), particulate matter with aerodynamic diameter below 2.5 mu m (PM2.5), and other air pollutants. These pollutants vary on a variety of temporal and spatial scales, with many temporal scales that are nonperiodic and nonstationary, challenging proper quantitative characterization and visualization. This study uses a newly compiled EOF-EEMD analysis visualization package to evaluate the spatiotemporal variability of ground-level NO2, PM2.5, and their associations with meteorological processes over Eastern China in fall-winter 2013. Applying the package to observed hourly pollutant data reveals a primary spatial pattern representing Eastern China synchronous variation in time, which is dominated by diurnal variability with a much weaker day-to-day signal. A secondary spatial mode, representing north-south opposing changes in time with no constant period, is characterized by wind-related dilution or a buildup of pollutants from one day to another. We further evaluate simulations of nested GEOS-Chem v9-02 and WRF/CMAQ v5.0.1 in capturing the spatiotemporal variability of pollutants. GEOS-Chem underestimates NO2 by about 17 mu g m(-3) and PM2.5 by 35 mu g m(-3 )on average over fall-winter 2013. It reproduces the diurnal variability for both pollutants. For the day-to-day variation, GEOS-Chem reproduces the observed north-south contrasting mode for both pollutants but not the Eastern China synchronous mode (especially for NO2). The model errors are due to a first model layer too thick (about 130 m) to capture the near-surface vertical gradient, deficiencies in the nighttime nitrogen chemistry in the first layer, and missing secondary organic aerosols and anthropogenic dust. CMAQ overestimates the diurnal cycle of pollutants due to too-weak boundary layer mixing, especially in the nighttime, and overestimates NO2 by about 30 mu g m(-3) and PM2.5 by 60 mu g m(-3). For the day-to-day variability, CMAQ reproduces the observed Eastern China synchronous mode but not the north-south opposing mode of NO2. Both models capture the day-to-day variability of PM2.5 better than that of NO2. These results shed light on model improvement. The EOF-EEMD package is freely available for noncommercial uses. |
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| ISSN | 1680-7324 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 946 | ||
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| Author |
Liu, Q.; Tan, Z-M.; Sun, J.; Hou, Y.; Fu, C.; Wu, Z. | ||||
| Title | Changing rapid weather variability increases influenza epidemic risk in a warming climate | Type | $loc['typeJournal Article'] | ||
| Year | 2020 | Publication | Environmental Research Letters | Abbreviated Journal | Environmental Research Letters |
| Volume | 15 | Issue | 4 | Pages | |
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| Abstract | The continuing change of the Earth's climate is believed to affect the influenza viral activity and transmission in the coming decades. However, a consensus of the severity of the risk of influenza epidemic in a warming climate has not been reached. It was previously reported that the warmer winter can reduce influenza epidemic-caused mortality, but this relation cannot explain the deadly influenza epidemic in many countries over northern mid-latitudes in the winter of 2017-2018, one of the warmest winters in recent decades. Here we reveal that the widely spread 2017-2018 influenza epidemic can be attributed to the abnormally strong rapid weather variability. We demonstrate, from historical data, that the large rapid weather variability in autumn can precondition the deadly influenza epidemic in the subsequent months in highly populated northern mid-latitudes; and the influenza epidemic season of 2017-2018 was a typical case. We further show that climate model projections reach a consensus that the rapid weather variability in autumn will continue to strengthen in some regions of northern mid-latitudes in a warming climate, implying that the risk of influenza epidemic may increase 20% to 50% in some highly populated regions in later 21st century. | ||||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1070 | ||
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