Добірка наукової літератури з теми "Atmosphere and Weather not elsewhere classified"
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Статті в журналах з теми "Atmosphere and Weather not elsewhere classified"
Spracklen, D. V., J. C. A. Baker, L. Garcia-Carreras, and J. H. Marsham. "The Effects of Tropical Vegetation on Rainfall." Annual Review of Environment and Resources 43, no. 1 (October 17, 2018): 193–218. http://dx.doi.org/10.1146/annurev-environ-102017-030136.
Повний текст джерелаKedzierski, Michal, Damian Wierzbicki, Aleksandra Sekrecka, Anna Fryskowska, Piotr Walczykowski, and Jolanta Siewert. "Influence of Lower Atmosphere on the Radiometric Quality of Unmanned Aerial Vehicle Imagery." Remote Sensing 11, no. 10 (May 22, 2019): 1214. http://dx.doi.org/10.3390/rs11101214.
Повний текст джерелаAlekseychik, Pavel, Ivan Mammarella, Dmitry Karpov, Sigrid Dengel, Irina Terentieva, Alexander Sabrekov, Mikhail Glagolev, and Elena Lapshina. "Net ecosystem exchange and energy fluxes measured with the eddy covariance technique in a western Siberian bog." Atmospheric Chemistry and Physics 17, no. 15 (August 4, 2017): 9333–45. http://dx.doi.org/10.5194/acp-17-9333-2017.
Повний текст джерелаSawant, Manisha, Mayur Kishor Shende, Andrés E. Feijóo-Lorenzo, and Neeraj Dhanraj Bokde. "The State-of-the-Art Progress in Cloud Detection, Identification, and Tracking Approaches: A Systematic Review." Energies 14, no. 23 (December 3, 2021): 8119. http://dx.doi.org/10.3390/en14238119.
Повний текст джерелаGibson, A. J., D. C. Verdon-Kidd, and G. R. Hancock. "Characterising the seasonal nature of meteorological drought onset and termination across Australia." Journal of Southern Hemisphere Earth Systems Science 72, no. 1 (February 8, 2022): 38–51. http://dx.doi.org/10.1071/es21009.
Повний текст джерелаKollias, Pavlos, and Bruce Albrecht. "Vertical Velocity Statistics in Fair-Weather Cumuli at the ARM TWP Nauru Climate Research Facility." Journal of Climate 23, no. 24 (December 15, 2010): 6590–604. http://dx.doi.org/10.1175/2010jcli3449.1.
Повний текст джерелаFarukh, Murad Ahmed, Hiroshi Hayasaka, and Keiji Kimura. "Characterization of Lightning Occurrence in Alaska Using Various Weather Indices for Lightning Forecasting." Journal of Disaster Research 6, no. 3 (June 1, 2011): 343–55. http://dx.doi.org/10.20965/jdr.2011.p0343.
Повний текст джерелаHoang, Phung Phi, Nguyen Dao Lam, and Viet Bach Pham. "Identifying mangrove forests using radar remote sensing data." Science and Technology Development Journal 19, no. 2 (June 30, 2016): 113–21. http://dx.doi.org/10.32508/stdj.v19i2.675.
Повний текст джерелаBinns, P. E. "Atmosphere–ocean interactions in the Greenland Sea during solar cycles 23–24, 2002–2011." Ocean Science Discussions 12, no. 1 (January 27, 2015): 103–34. http://dx.doi.org/10.5194/osd-12-103-2015.
Повний текст джерелаCarter, Michael, J. Marshall Shepherd, Steve Burian, and Indu Jeyachandran. "Integration of Lidar Data into a Coupled Mesoscale–Land Surface Model: A Theoretical Assessment of Sensitivity of Urban–Coastal Mesoscale Circulations to Urban Canopy Parameters." Journal of Atmospheric and Oceanic Technology 29, no. 3 (March 1, 2012): 328–46. http://dx.doi.org/10.1175/2011jtecha1524.1.
Повний текст джерелаДисертації з теми "Atmosphere and Weather not elsewhere classified"
(7036595), KwangHyuk Im. "ASSESSMENT MODEL FOR MEASURING CASCADING ECONOMIC IMPACTS DUE TO SEVERE WEATHER-INDUCED POWER OUTAGES." Thesis, 2019.
Знайти повний текст джерела(8158146), Diana M. Ramirez Gutierrez. "PERFORMANCE OF NOVEL PORTABLE SOLAR DRYING TECHNOLOGIES FOR SMALL AND MID-SIZE GROWERS OF SPECIALTY CROPS UNDER INDIANA WEATHER CONDITIONS." Thesis, 2019.
Знайти повний текст джерела(9515447), Anamika Shreevastava. "Spatio-temporal characterization of fractal intra-Urban Heat Islets." Thesis, 2020.
Знайти повний текст джерела(8771531), Licheng Liu. "Quantifying Global Exchanges of Methane and Carbon Monoxide Between Terrestrial Ecosystems and The Atmosphere Using Process-based Biogeochemistry Models." Thesis, 2020.
Знайти повний текст джерелаMethane (CH4) is the second most powerful greenhouse gas (GHG) behind carbon dioxide (CO2), and is able to trap a large amount of long-wave radiation, leading to surface warming. Carbon monoxide (CO) plays an important role in controlling the oxidizing capacity of the atmosphere by reacting with OH radicals that affect atmospheric CH4 dynamics. Terrestrial ecosystems play an important role in determining the amount of these gases into the atmosphere. However, global quantifications of CH4 emissions from wetlands and its sinks from uplands, and CO exchanges between land and the atmosphere are still fraught with large uncertainties, presenting a big challenge to interpret complex atmospheric CH4 dynamics in recent decades. In this dissertation, I apply modeling approaches to estimate the global CH4 and CO exchanges between land ecosystems and the atmosphere and analyze how they respond to contemporary and future climate change.
Firstly, I develop a process-based biogeochemistry model embedded in Terrestrial Ecosystem Model (TEM) to quantify the CO exchange between soils and the atmosphere at the global scale (Chapter 2). Parameterizations were conducted by using the CO in situ data for eleven representative ecosystem types. The model is then extrapolated to global terrestrial ecosystems. Globally soils act as a sink of atmospheric CO. Areas near the equator, Eastern US, Europe and eastern Asia will be the largest sink regions due to their optimum soil moisture and high temperature. The annual global soil net flux of atmospheric CO is primarily controlled by air temperature, soil temperature, SOC and atmospheric CO concentrations, while its monthly variation is mainly determined by air temperature, precipitation, soil temperature and soil moisture.
Secondly, to better quantify the global CH4 emissions from wetlands and their uncertainties, I revise, parameterize and verify a process-based biogeochemical model for methane for various wetland ecosystems (Chapter 3). The model is then extrapolated to the global scale to quantify the uncertainty induced from four different types of uncertainty sources including parameterization, wetland type distribution, wetland area distribution and meteorological input. Spatially, the northeast US and Amazon are two hotspots of CH4 emissions, while consumption hotspots are in the eastern US and eastern China. The relationships between both wetland emissions and upland consumption and El Niño and La Niña events are analyzed. This study highlights the need for more in situ methane flux data, more accurate wetland type and area distribution information to better constrain the model uncertainty.
Thirdly, to further constrain the global wetland CH4 emissions, I develop a predictive model of CH4 emissions using an artificial neural network (ANN) approach and available field observations of CH4 fluxes (Chapter 4). Eleven explanatory variables including three transient climate variables (precipitation, air temperature and solar radiation) and eight static soil property variables are considered in developing the ANN models. The models are then extrapolated to the global scale to estimate monthly CH4 emissions from 1979 to 2099. Significant interannual and seasonal variations of wetland CH4 emissions exist in the past four decades, and the emissions in this period are most sensitive to variations in solar radiation and air temperature. This study reduced the uncertainty in global CH4 emissions from wetlands and called for better characterizing variations of wetland areas and water table position and more long-term observations of CH4 fluxes in tropical regions.
Finally, in order to study a new pathway of CH4 emissions from palm tree stem, I develop a two-dimensional diffusion model. The model is optimized using field data of methane emissions from palm tree stems (Chapter 5). The model is then extrapolated to Pastaza-Marañón foreland basin (PMFB) in Peru by using a process-based biogeochemical model. To our knowledge, this is among the first efforts to quantify regional CH4 emissions through this pathway. The estimates can be improved by considering the effects of changes in temperature, precipitation and radiation and using long-period continuous flux observations. Regional and global estimates of CH4 emissions through this pathway can be further constrained using more accurate palm swamp classification and spatial distribution data of palm trees at the global scale.
(8752419), Jessica M. Outcalt. "Stopover ecology of migrating birds in Indiana." Thesis, 2020.
Знайти повний текст джерелаBillions of birds migrate annually between breeding and wintering habitats, following transient resources. Though a majority of time is spent in breeding and wintering habitats, habitats used during the migratory periods are especially important for migrating birds. Migration and stopovers, where birds rest and refuel before continuing a migratory journey, are critical points in a bird’s annual lifecycle, and are important ecologically, socially, and economically. Populations of migratory birds are declining on a global scale, however, and proper management is vital to their persistence in an urbanizing environment. Indiana in the Midwestern United States is an important area in which to study stopover ecology of migratory birds, as it is a fragmented forest- urban-agricultural matrix almost entirely managed through private ownership. In this dissertation, I studied three questions of stopover ecology within the landscape context of the Midwestern United States, primarily using weather surveillance radar and eBird citizen science data.
First, I studied spatiotemporal changes over an 11-year period (autumn 2005-2016 and spring 2006-2017) in densities of nocturnally migrating birds at two radar stations in Indiana. I found that mean density of migratory birds stopping over in Indiana declined by approximately 6.8% annually, but variability in stopover site use increased over the same period. This is consistent with other work completed on continental scales, and highlights the need for further conservation of migratory birds. Second, I studied patterns of stopover site use in Indiana during spring 2016- 2017 and autumn 2015-2016, identifying landscape and local factors associated with those patterns. I used both traditional land cover characteristics and a novel approach using human socioeconomic measures to describe these patterns, and found that socioeconomics, particularly the size of a housing unit, were among the most important predictors of migratory bird density in Indiana. The results from this study suggest that migratory birds are utilizing urban habitats, which are known to contain several novel hazards for birds, but that migratory birds will benefit greatly from interdisciplinary work focusing on urban habitats. Third, I explored a novel method of using weather surveillance radar and eBird citizen science data in combination with each other, to see if both measures provided similar estimates of bird abundances during stopover. Though I found no correlation between the two, I argue that eBird and radar still provide important and complementary insights for the field of migration ecology. Finally, I provide guidelines for private landowners in Indiana on management for declining populations of migratory birds.
Частини книг з теми "Atmosphere and Weather not elsewhere classified"
Whiteman, C. David. "Clouds and Fogs." In Mountain Meteorology. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780195132717.003.0014.
Повний текст джерелаТези доповідей конференцій з теми "Atmosphere and Weather not elsewhere classified"
Godbole, Ajit, Xiong Liu, Guillaume Michal, Cheng Lu, and Clara Huéscar Medina. "CO2SAFE-ARREST: A Full-Scale Burst Test Research Program for Carbon Dioxide Pipelines — Part 3: Dispersion Modelling." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78530.
Повний текст джерелаMarchenko, Nataliya. "Navigation in the Russian Arctic: Sea Ice Caused Difficulties and Accidents." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10546.
Повний текст джерела