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| Author | Misra, V.; Mishra, A.; Bhardwaj, A. | ||||
| Title | A coupled ocean-atmosphere downscaled climate projection for the peninsular Florida region | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Journal of Marine Systems | Abbreviated Journal | Journal of Marine Systems |
| Volume | 194 | Issue | Pages | 25-40 | |
| Keywords | Climate projection; Peninsular Florida; bathymetry; climate simulation; future | ||||
| Abstract | A downscaled projection over the Peninsular Florida (PF) region is conducted with a Regional Climate Model (RCM) at 10 km grid spacing that incorporates interactive coupling between the atmosphere and ocean components of the climate system. This is first such application of a coupled ocean-atmosphere model for climate projection over the PF region. The RCM is shown to display reasonable fidelity in simulating the mean current climate and exhibits higher variability both in the ocean and in the atmosphere than the large-scale global model (Community Climate System Model version 4 [CCSM4]), which is used to drive the RCM. There are several features of the regional climate that RCM displays as an improvement over CCSM4: upper ocean thermal stratification, surface eddy kinetic energy of the ocean, volume flux through the Yucatan Channel, and terrestrial rainfall over PF. The projected mean hydroclimatic change over the period 2041�2060 relative to 1986�2005 over PF shows significant difference between RCM and CCSM4, with the RCM becoming significantly drier and CCSM4 moderately wetter. Furthermore, over the ocean surface, especially over the West Florida Shelf (WFS), RCM displays a wetter and a warmer surface climate compared to the CCSM4 simulation. Our analysis of the model output indicates that improved resolution of ocean bathymetry in the RCM plays a significant role in the response of the projected changes in surface heat flux, clouds, upper ocean circulations and upper ocean stratification, which manifests with some of the largest differences from the CCSM4 projections, especially over the shallower parts of the ocean around PF. This contrast is most apparent between WFS and PF in the RCM simulation, which suggests that a future warm climate would likely produce more rain over WFS at the expense of corresponding reduction over PF, contrary to the absence of any such gradient in the CCSM4 simulation. Furthermore, in the RCM simulation, the warming of the sub-surface ocean in the future climate is owed to the combined influence of excess atmospheric heat flux directed towards the ocean from the atmosphere and the advective heat flux convergence with the relative slowing of the Loop Current in the future climate. The study demonstrates that such RCMs with coupled ocean-atmosphere interactions are necessary to downscale the global climate models to project the surface hydro-climate over regions like PF that have mesoscale features in the ocean, which can influence the terrestrial climate. |
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| Language | Summary Language | Original Title | |||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0924-7963 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1003 | ||
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| Author | Groenen, D. | ||||
| Title | The Effects of Climate Change on the Pests and Diseases of Coffee Crops in Mesoamerica | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | Journal of Climatology & Weather Forecasting | Abbreviated Journal | |
| Volume | 6 | Issue | 3 | Pages | |
| Keywords | Coffee; Pests and diseases; Mesoamerica; Climate | ||||
| Abstract | Coffee is an in-demand commodity that is being threatened by climate change. Increasing temperatures and rainfall variability are predicted in the region of Mexico and Central America (Mesoamerica). This region is plagued with pests and diseases that have already caused millions of dollars in damages and losses to the coffee industry.This paper examines three pests that negatively affect coffee plants: the coffee borer beetle, the black twig borer,and nematodes. In addition, this paper examines three diseases that can destroy coffee crops: bacterial blight,coffee berry disease, and coffee leaf rust. This paper will review the literature on how these pests and diseases are predicted to affect coffee crops under climate change models. In general, increased temperatures will increase the spread of pest and disease in coffee crops. Projected decreased rainfall in Honduras and Nicaragua may decrease the spread of pest and disease. However, these are complex issues which still require further study. | ||||
| Address | Climatol Weather Forecasting | ||||
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| Language | English | Summary Language | Original Title | ||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 2332-2594 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 964 | ||
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| Author | Morrison, T.; Dukhovskoy, D. S.; McClean, J.; Gille, S. T.; Chassignet, E. | ||||
| Title | Causes of the anomalous heat flux onto the Greenland continental shelf | Type | $loc['typeAbstract'] | ||
| Year | 2018 | Publication | American Geophysical Union | Abbreviated Journal | AGU |
| Volume | Fall Meeting | Issue | Pages | ||
| Keywords | 0726 Ice sheets, CRYOSPHEREDE: 4207 Arctic and Antarctic oceanography, OCEANOGRAPHY: GENERALDE: 4215 Climate and interannual variability, OCEANOGRAPHY: GENERALDE: 4255 Numerical modeling, OCEANOGRAPHY: GENERAL | ||||
| Abstract | On the continental shelf around Greenland, warm-salty Atlantic water at depth fills the deep narrow fjords where Greenland's tidewater glaciers terminate. Changes in the quantity or properties of this water mass starting in the mid 1990s is thought to be largely responsible for increased ocean-driven melting of the Greenland Ice Sheet. Using high-resolution (nominal 0.1-degree) ocean circulation models we cannot accurately resolve small-scale processes on the shelf or within fjords. However, we can assess changes in the flux of heat via Atlantic water onto the continental shelf. To understand the causes of the anomalous heat that has reached the shelf we examine heat content of subtropical gyre water and shifts in the North Atlantic and Atlantic Multidecadal Oscillations. We compare changes in heat transport in two eddy permitting simulations: a global 0.1 degree (5-7km around Greenland) resolution coupled hindcast (1970-2009) simulation of the Parallel Ocean Program (POP) and a regional 0.08 degree (3-5km around Greenland) resolution coupled HYbrid Coordinate Ocean Model (HYCOM) hindcast (1993-2016) simulation. Both models are coupled to the Los Alamos National Laboratory Community Ice CodE version 4 and forced by atmospheric reanalysis fluxes. In both models we look for processes that could explain the increase in heat; processes that are present in both are likely to be robust causes of warming. |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1009 | ||
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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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| Series Volume | Series Issue | Edition | |||
| ISSN | 1874-2130 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1017 | ||
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| Author | Deng, J.; Wu, Z.; Zhang, M.; Huang, N.E.; Wang, S.; Qiao, F. | ||||
| Title | Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | Quaternary Science Reviews | Abbreviated Journal | Quaternary Science Reviews |
| Volume | 192 | Issue | Pages | 282-299 | |
| Keywords | Pleistocene; Paleoclimatology; Greenland; Antarctica; Data treatment; Data analysis; Dansgaard-oeschger (DO) events; Obliquity forcing; Phase preference; Holo-hilbert spectral analysis; Amplitude modulation; EMPIRICAL MODE DECOMPOSITION; GREENLAND ICE-CORE; NONSTATIONARY TIME-SERIES; ABRUPT CLIMATE-CHANGE; LAST GLACIAL PERIOD; NORTH-ATLANTIC; MILLENNIAL-SCALE; RECORDS; VARIABILITY; CYCLE | ||||
| Abstract | Astronomical forcing (obliquity and precession) has been thought to modulate Dansgaard-Oeschger (DO) events, yet the detailed quantification of such modulations has not been examined. In this study, we apply the novel Holo-Hilbert Spectral Analysis (HHSA) to five polar ice core records, quantifying astronomical forcing's time-varying amplitude modulation of DO events and identifying the preferred obliquity phases for large amplitude modulations. The unique advantages of HHSA over the widely used windowed Fourier spectral analysis for quantifying astronomical forcing's nonlinear modulations of DO events is first demonstrated with a synthetic data that closely resembles DO events recorded in Greenland ice cores (NGRIP, GRIP, and GISP2 cores on GICC05 modelext timescale). The analysis of paleoclimatic proxies show that statistically significantly more frequent DO events, with larger amplitude modulation in the Greenland region, tend to occur in the decreasing phase of obliquity, especially from its mean value to its minimum value. In the eastern Antarctic, although statistically significantly more DO events tend to occur in the decreasing obliquity phase in general, the preferred phase of obliquity for large amplitude modulation on DO events is a segment of the increasing phase near the maximum obliquity, implying that the physical mechanisms of DO events may be different for the two polar regions. Additionally, by using cross-spectrum and magnitude-squared analyses, Greenland DO mode at a timescale of about 1400 years leads the Antarctic DO mode at the same timescale by about 1000 years. (C) 2018 Elsevier Ltd. All rights reserved. | ||||
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| ISSN | 0277-3791 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 971 | ||
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| Author | Xue, W.; Xin, X.; Zhang, J.; Zhang, W.; Wu, H.; Huang, Z.; Zhang, T.; Li, H.; Ding, N.; Huang H. | ||||
| Title | Development and Testing of a Multi-model Ensemble Coupling Framework | Type | $loc['typeBook Chapter'] | ||
| Year | 2016 | Publication | Development and Evaluation of High Resolution Climate System Models | Abbreviated Journal | |
| Volume | Issue | Pages | 163-208 | ||
| Keywords | Climate system model; Ensemble coupling platform; Atmospheric noise; Process layout | ||||
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| Publisher | Springer | Place of Publication | Editor | ||
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| Call Number | COAPS @ mfield @ | Serial | 91 | ||
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| Author | Robinson, W.; Speich, S.; Chassignet, E. | ||||
| Title | Exploring the Interplay Between Ocean Eddies and the Atmosphere | Type | $loc['typeJournal Article'] | ||
| Year | 2018 | Publication | Eos | Abbreviated Journal | Eos |
| Volume | 99 | Issue | Pages | ||
| Keywords | Mesoscale; Climate; Variability; Atmospheric | ||||
| Abstract | Climate models, for the first time, have sufficient resolution to capture mesoscale ocean eddies and their interactions with the atmosphere.New model results suggest that the atmosphere, at weather scales or larger, responds to cumulative effects of the much smaller ocean eddies. Intriguing new model results presented at the workshop suggested that the atmosphere, at weather scales or larger. | ||||
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| ISSN | 2324-9250 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ rl18 @ | Serial | 988 | ||
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| Author | Kirtman, B. P.; Misra, V.; Anandhi, A.; Palko, D.; Infanti, J. | ||||
| Title | Future Climate Change Scenarios for Florida | Type | $loc['typeBook Chapter'] | ||
| Year | 2017 | Publication | Florida's climate: Changes, variations, & impacts | Abbreviated Journal | |
| Volume | Issue | Pages | 533-555 | ||
| Keywords | Anthropogenically forced climate change; Decadal climate prediction; Climate projection; Climate scenario; Mitigation; Adaptation | ||||
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| Publisher | Florida Climate Institute | Place of Publication | Gainesville, FL | Editor | Chassignet, E. P.; Jones, J. W.; Misra, V.; Obeysekera, J. |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 851 | ||
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| Author | Kirtman, B. P.; Misra, V.; Burgman, R. J.; Infanti, J.; Obeysekera, J. | ||||
| Title | Florida Climate Variability and Prediction | Type | $loc['typeBook Chapter'] | ||
| Year | 2017 | Publication | Florida's climate: Changes, variations, & impacts | Abbreviated Journal | |
| Volume | Issue | Pages | 511-532 | ||
| Keywords | Multi-model ensembles; Regional climate prediction; Dynamical downscaling; Statistical downscaling | ||||
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| Publisher | Florida Climate Institute | Place of Publication | Gainesville, FL | Editor | Chassignet, E. P.; Jones, J. W.; Misra, V.; Obeysekera, J. |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 850 | ||
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| Author | Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. | ||||
| Title | Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health | Type | $loc['typeJournal Article'] | ||
| Year | 2016 | Publication | International Journal of Environmental Research and Public Health | Abbreviated Journal | Int J Environ Res Public Health |
| Volume | 13 | Issue | 8 | Pages | |
| Keywords | *Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health | ||||
| Abstract | There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida. | ||||
| Address | Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA. konrad@unc.edu | ||||
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| Language | English | Summary Language | Original Title | ||
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| ISSN | 1660-4601 | ISBN | Medium | ||
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| Funding | PMID:27517942; PMCID:PMC4997490 | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 73 | ||
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