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| Author | Kumar, V.; Jana, S.; Bhardwaj, A.; Deepa, R.; Sahu, S.K.; Pradhan, P.K.; Sirdas, S.A. | ||||
| Title | Greenhouse Gas Emission, Rainfall and Crop Production Over North-Western India | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | The Open Ecology Journal | Abbreviated Journal | TOECOLJ |
| Volume | 11 | Issue | 1 | Pages | 47-61 |
| Keywords | Greenhouse gases, CH4, Climate Variability, Emissions, Crop production, Rainfall. | ||||
| Abstract | Background: This study is based on datasets acquired from multi sources e.g. rain-gauges, satellite, reanalysis and coupled model for the region of Northwestern India. The influence of rainfall on crop production is obvious and direct. With the climate change and global warming, greenhouse gases are also showing an adverse impact on crop production. Greenhouse gases (e.g. CO2, NO2 and CH4) have shown an increasing trend over Northwestern Indian region. In recent years, rainfall has also shown an increasing trend over Northwestern India, while the production of rice and maize are reducing over the region. From eight selected sites, over Northwestern India, where rice and maize productions have reduced by 40%, with an increase in CO2, NO2 and CH4 gas emission by 5% from 1998 to 2011. Results: The correlation from one year to another between rainfall, gas emission and crop production was not very robust throughout the study period, but seemed to be stronger for some years than others. Conclusion: Such trends and crop yield are attributed to rainfall, greenhouse gas emissions and to the climate variability. |
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| 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 | 1874-2130 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1017 | ||
| Permanent link to this record | |||||
| Author | Proshutinsky, A.; Dukhovskoy, D.; Timmermans, M.-L.; Krishfield, R.; Bamber, J.L. | ||||
| Title | Arctic circulation regimes | Type | $loc['typeJournal Article'] | ||
| Year | 2015 | Publication | Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences | Abbreviated Journal | Philos Trans A Math Phys Eng Sci |
| Volume | 373 | Issue | 2052 | Pages | |
| Keywords | arctic climate variability; circulation regimes; freshwater and heat content | ||||
| Abstract | Between 1948 and 1996, mean annual environmental parameters in the Arctic experienced a well-pronounced decadal variability with two basic circulation patterns: cyclonic and anticyclonic alternating at 5 to 7 year intervals. During cyclonic regimes, low sea-level atmospheric pressure (SLP) dominated over the Arctic Ocean driving sea ice and the upper ocean counterclockwise; the Arctic atmosphere was relatively warm and humid, and freshwater flux from the Arctic Ocean towards the subarctic seas was intensified. By contrast, during anticylonic circulation regimes, high SLP dominated driving sea ice and the upper ocean clockwise. Meanwhile, the atmosphere was cold and dry and the freshwater flux from the Arctic to the subarctic seas was reduced. Since 1997, however, the Arctic system has been under the influence of an anticyclonic circulation regime (17 years) with a set of environmental parameters that are atypical for this regime. We discuss a hypothesis explaining the causes and mechanisms regulating the intensity and duration of Arctic circulation regimes, and speculate how changes in freshwater fluxes from the Arctic Ocean and Greenland impact environmental conditions and interrupt their decadal variability. | ||||
| Address | School of Geographical Sciences, University of Bristol, Bristol, UK | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1364-503X | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | PMID:26347536; PMCID:PMC4607701 | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 109 | ||
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| Author | Brolley, J. M. | ||||
| Title | Effects of ENSO, NAO (PVO), and PDO on Monthly Extreme Temperatures and Precipitation | Type | $loc['typeManuscript'] | ||
| Year | 2007 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | NAO, PDO, ENSO, Climate Variability, Extremes, Stochastic | ||||
| Abstract | The El Nino-Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO), the Pacific Decadal Oscillation (PDO), and the Polar Vortex Oscillation (PVO) produce conditions favorable for monthly extreme temperatures and precipitation. These climate modes produce upper-level teleconnection patterns that favor regional droughts, floods, heat waves, and cold spells, and these extremes impact agriculture, energy, forestry, and transportation. The above sectors prefer the knowledge of the worst (and sometimes the best) case scenarios. This study examines the extreme scenarios for each phase and the combination of phases that produce the greatest monthly extremes. Data from Canada, Mexico, and the United States are gathered from the Historical Climatology Network (HCN). Monthly data are simulated by the utilization of a Monte Carlo model. This Monte Carlo method simulates monthly data by the stochastic selection of daily data with identical ENSO, PDO, and PVO (NAO) characteristics. In order to test the quality of the Monte Carlo simulation, the simulations are compared with the observations using only PDO and PVO. It has been found that temperatures and precipitation in the simulation are similar to the model. Statistics tests have favored similarities between simulations and observations in most cases. Daily data are selected in blocks of four to eight days in order to conserve temporal correlation. Because the polar vortex occurs only during the cold season, the PVO is used during January, and the NAO is used during other months. The simulated data are arranged, and the tenth and ninetieth percentiles are analyzed. The magnitudes of temperature and precipitation anomalies are the greatest in the western Canada and the southeastern United States during winter, and these anomalies are located near the Pacific North American (PNA) extrema. Western Canada has its coldest (warmest) Januaries when the PDO and PVO are low (high). The southeastern United States has its coldest Januaries with high PDO and low PVO and warmest Januaries with low PDO and high PVO. Although extremes occur during El Nino or La Nina, many stations have the highest or lowest temperatures during neutral ENSO. In California and the Gulf Coast, the driest (wettest) Januaries tend to occur during low (high) PDO, and the reverse occurs in Tennessee, Kentucky, Ohio, and Indiana. Summertime anomalies, on the other hand, are weak because temperature variance is low. Phase combinations that form the wettest (driest) Julies form spatially incoherent patterns. The magnitudes of the temperature and precipitation anomalies and the corresponding phase combinations vary regionally and seasonally. Composite maps of geopotential heights across North America are plot for low, median, and high temperatures at six selected sites and for low, median, and high precipitation at the same sites. The greatest fluctuations occur near the six sites and over some of the loci of the PNA pattern. Geopotential heights tend to decrease (increase) over the target stations during the cold (warm) cases, and the results for precipitation are variable. | ||||
| Address | Department of Meteorology | ||||
| Corporate Author | Thesis | $loc['Ph.D. thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 587 | ||
| Permanent link to this record | |||||
| Author | Strazzo, S | ||||
| Title | Low-Frequency Minimum Temperature Variability Throughout the Southeastern United States during the 1970s: Regime Shift or Phase Coincidence? | Type | $loc['typeManuscript'] | ||
| Year | 2011 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Low-frequency variability; Climate variability; Climate regime | ||||
| Abstract | |||||
| 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 | 336 | ||
| Permanent link to this record | |||||
| Author | Williams, M | ||||
| Title | Characterizing Multi-Decadal Temperature Variability in the Southeastern United States | Type | $loc['typeManuscript'] | ||
| Year | 2010 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Meteorology, Climate Variability, Climate, Warm Regime, Cold Regim | ||||
| Abstract | Prior studies of the long-term temperature record in the Southeastern United States (SE US) mostly discuss the long-term cooling trend, and the inter-annual variability produced by the region's strong ties to El Niño Southern Oscillation (ENSO). An examination of long-term temperature records in the SE US show clear multi-decadal variations in temperature, with relative warm periods in the 1920's through the mid 1950's and a cool period in the late 1950's through the late 1990's. This substantial shift in multi-decadal variability is not well understood and has not been fully investigated. It appears to account for the long-term downward trend in temperatures. An accurate characterization of this variability could lead to improved interannual and long-term forecasts, which would be useful for agricultural planning, drought mitigation, water management, and preparation for extreme temperature events. Statistical methods are employed to determine the spatial coherence of the observed variability on seasonal time scales. The goal of this study is to characterize the nature of this variability through the analysis of National Weather Service Cooperative Observer Program (COOP) station data in Florida, Georgia, Alabama, North Carolina, and South Carolina. One finding is a shift in the temperature Probability Distribution Function (PDF) between warm regimes and cool regimes. | ||||
| 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 | 578 | ||
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| Author | Morey, S.L.; Dukhovskoy, D.S.; Bourassa, M.A. | ||||
| Title | Connectivity of the Apalachicola River flow variability and the physical and bio-optical oceanic properties of the northern West Florida Shelf | Type | $loc['typeJournal Article'] | ||
| Year | 2009 | Publication | Continental Shelf Research | Abbreviated Journal | Continental Shelf Research |
| Volume | 29 | Issue | 9 | Pages | 1264-1275 |
| Keywords | River plumes; Climate variability; Ocean color; West Florida Shelf; Apalachicola River | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0278-4343 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | NASA, OVWST | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 393 | ||
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| Author | Fraisse, C.W.; Breuer, N.E.; Zierden, D.; Bellow, J.G.; Paz, J.; Cabrera, V.E.; Garcia y Garcia, A.; Ingram, K.T.; Hatch, U.; Hoogenboom, G.; Jones, J.W.; O'Brien, J.J. | ||||
| Title | AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA | Type | $loc['typeJournal Article'] | ||
| Year | 2006 | Publication | Computers and Electronics in Agriculture | Abbreviated Journal | Computers and Electronics in Agriculture |
| Volume | 53 | Issue | 1 | Pages | 13-27 |
| Keywords | crop models climate variability; decision making; ENSO; El Nino; extension | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0168-1699 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 434 | ||
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| Author | Fu, C.B.; Qian, C.; Wu, Z.H. | ||||
| Title | Projection of global mean surface air temperature changes in next 40 years: Uncertainties of climate models and an alternative approach | Type | $loc['typeJournal Article'] | ||
| Year | 2011 | Publication | Science China Earth Sciences | Abbreviated Journal | Sci. China Earth Sci. |
| Volume | 54 | Issue | 9 | Pages | 1400-1406 |
| Keywords | decadal prediction; global warming; multi-decadal climate variability; the Ensemble Empirical Mode Decomposition; CMIP3 multi-model | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1674-7313 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 293 | ||
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| Author | Cammarano, D.; Stefanova, L.; Ortiz, B.V.; Ramirez-Rodrigues, M.; Asseng, S.; Misra, V.; Wilkerson, G.; Basso, B.; Jones, J.W.; Boote, K.J.; DiNapoli, S. | ||||
| Title | Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US | Type | $loc['typeJournal Article'] | ||
| Year | 2013 | Publication | Regional Environmental Change | Abbreviated Journal | Reg Environ Change |
| Volume | 13 | Issue | S1 | Pages | 101-110 |
| Keywords | Crop simulation models; Climate variability; Global circulation models; Reanalysis; Wheat; Maize | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1436-3798 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 187 | ||
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| Author | Bunge, L.; Clarke, A.J. | ||||
| Title | On the Warm Water Volume and Its Changing Relationship with ENSO | Type | $loc['typeJournal Article'] | ||
| Year | 2014 | Publication | Journal of Physical Oceanography | Abbreviated Journal | J. Phys. Oceanogr. |
| Volume | 44 | Issue | 5 | Pages | 1372-1385 |
| Keywords | Physical Meteorology and Climatology; Climate variability; ENSO; Observational techniques and algorithms; Climate records; Variability; Decadal variability; Interannual variability | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0022-3670 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 156 | ||
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