Relevant bibliographies by topics / Seasonal cycle

Academic literature on the topic 'Seasonal cycle'

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Published: 4 June 2021
Last updated: 20 July 2024

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Journal articles on the topic "Seasonal cycle"

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Crowley, Thomas J., John G. Mengel, and David A. Short. "Gondwanaland's seasonal cycle." Nature 329, no. 6142 (October 1987): 803–7. http://dx.doi.org/10.1038/329803a0.

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Fischer, Madlen, Henning W. Rust, and Uwe Ulbrich. "Seasonal Cycle in German Daily Precipitation Extremes." Meteorologische Zeitschrift 27, no. 1 (January 29, 2018): 3–13. http://dx.doi.org/10.1127/metz/2017/0845.

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Gilford, Daniel M., and Susan Solomon. "Radiative Effects of Stratospheric Seasonal Cycles in the Tropical Upper Troposphere and Lower Stratosphere." Journal of Climate 30, no. 8 (April 2017): 2769–83. http://dx.doi.org/10.1175/jcli-d-16-0633.1.

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Water vapor and ozone are powerful radiative constituents in the tropical lower stratosphere, impacting the local heating budget and nonlocally forcing the troposphere below. Their near-tropopause seasonal cycle structures imply associated “radiative seasonal cycles” in heating rates that could affect the amplitude and phase of the local temperature seasonal cycle. Overlying stratospheric seasonal cycles of water vapor and ozone could also play a role in the lower stratosphere and upper troposphere heat budgets through nonlocal propagation of radiation. Previous studies suggest that the tropical lower stratospheric ozone seasonal cycle radiatively amplifies the local temperature seasonal cycle by up to 35%, while water vapor is thought to have a damping effect an order of magnitude smaller. This study uses Aura Microwave Limb Sounder observations and an offline radiative transfer model to examine ozone, water vapor, and temperature seasonal cycles and their radiative linkages in the lower stratosphere and upper troposphere. Radiative sensitivities to ozone and water vapor vertical structures are explicitly calculated, which has not been previously done in a seasonal cycle context. Results show that the water vapor radiative seasonal cycle in the lower stratosphere is not sensitive to the overlying water vapor structure. In contrast, about one-third of ozone’s radiative seasonal cycle amplitude at 85 hPa is associated with longwave emission above 85 hPa. Ozone’s radiative effects are not spatially homogenous: for example, the Northern Hemisphere tropics have a seasonal cycle of radiative temperature adjustments with an amplitude 0.8 K larger than the Southern Hemisphere tropics.
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Mclaren, Craig H., and Xichuan (Mark) Zhang. "The Importance of Trend-Cycle Analysis for National Statistics Institutes." Studies of Applied Economics 28, no. 3 (March 14, 2021): 607–24. http://dx.doi.org/10.25115/eea.v28i3.4744.

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Seasonal adjustment is a widely applied statistical method. National Statistics Institutes around the world apply seasonal adjustment methods, such as X-12-ARIMA or TRAMO-SEATS, on a regular basis to help users interpret movements in the time series and aid in decision making. The seasonal adjustment process decomposes the original time series into three main components: a trend-cycle, seasonal and irregular. By definition the seasonally adjusted estimates still contain a degree of volatility as they are just a combination of the trend-cycle and irregular. Typically, as an analytical product, the seasonally adjusted estimates are published alongside the time series of the original estimates. In most countries the trend-cycle estimates are not published. Some countries, such as Australia, regularly publish trend-cycle as additional analytical product alongside the original and seasonally adjusted estimates to inform users. This paper presents the case for the regular calculation and production of trend- cycle estimates at National Statistics Institutes to help inform and educate users about the longer term signals in the time series.
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Barsky, Robert B., and Jeffrey A. Miron. "The Seasonal Cycle and the Business Cycle." Journal of Political Economy 97, no. 3 (June 1989): 503–34. http://dx.doi.org/10.1086/261614.

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Johri, Alok. "Markups and the seasonal cycle." Journal of Macroeconomics 23, no. 3 (June 2001): 367–95. http://dx.doi.org/10.1016/s0164-0704(01)00169-0.

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Liao, Ting, Charles D. Camp, and Yuk L. Yung. "The seasonal cycle of N2O." Geophysical Research Letters 31, no. 17 (September 2004): n/a. http://dx.doi.org/10.1029/2004gl020345.

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Stein, Karl, Niklas Schneider, Axel Timmermann, and Fei-Fei Jin. "Seasonal Synchronization of ENSO Events in a Linear Stochastic Model*." Journal of Climate 23, no. 21 (November 1, 2010): 5629–43. http://dx.doi.org/10.1175/2010jcli3292.1.

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Abstract A simple model of ENSO is developed to examine the effects of the seasonally varying background state of the equatorial Pacific on the seasonal synchronization of ENSO event peaks. The model is based on the stochastically forced recharge oscillator, extended to include periodic variations of the two main model parameters, which represent ENSO’s growth rate and angular frequency. Idealized experiments show that the seasonal cycle of the growth rate parameter sets the seasonal cycle of ENSO variance; the inclusion of the time dependence of the angular frequency parameter has a negligible effect. Event peaks occur toward the end of the season with the most unstable growth rate. Realistic values of the parameters are estimated from a linearized upper-ocean heat budget with output from a high-resolution general circulation model hindcast. Analysis of the hindcast output suggests that the damping by the mean flow field dominates the seasonal cycle of ENSO’s growth rate and, thereby, seasonal ENSO variance. The combination of advective, Ekman pumping, and thermocline feedbacks plays a secondary role and acts to enhance the seasonal cycle of the ENSO growth rate.
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Donohoe, Aaron, Eliza Dawson, Lynn McMurdie, David S. Battisti, and Andy Rhines. "Seasonal Asymmetries in the Lag between Insolation and Surface Temperature." Journal of Climate 33, no. 10 (May 15, 2020): 3921–45. http://dx.doi.org/10.1175/jcli-d-19-0329.1.

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AbstractWe analyze the temporal structure of the climatological seasonal cycle in surface air temperature across the globe. We find that, over large regions of Earth, the seasonal cycle of surface temperature departs from an annual harmonic: the duration of fall and spring differ by as much as 2 months. We characterize this asymmetry by the metric ASYM, defined as the phase lag of the seasonal maximum temperature relative to the summer solstice minus the phase lag of the seasonal minimum temperature relative to winter solstice. We present a global analysis of ASYM from weather station data and atmospheric reanalysis and find that ASYM is well represented in the reanalysis. ASYM generally features positive values over land and negative values over the ocean, indicating that spring has a longer duration over the land domain whereas fall has a longer duration over the ocean. However, ASYM also features more positive values over North America compared to Europe and negative values in the polar regions over ice sheets and sea ice. Understanding the root cause of the climatological ASYM will potentially further our understanding of controls on the seasonal cycle of temperature and its future/past changes. We explore several candidate mechanisms to explain the spatial structure of ASYM including 1) modification of the seasonal cycle of surface solar radiation by the seasonal evolution of cloud thickness, 2) differences in the seasonal cycle of the atmospheric boundary layer depth over ocean and over land, and 3) temperature advection by the seasonally evolving atmospheric circulation.
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Ryu, Young-Hee, James A. Smith, and Elie Bou-Zeid. "On the Climatology of Precipitable Water and Water Vapor Flux in the Mid-Atlantic Region of the United States." Journal of Hydrometeorology 16, no. 1 (February 1, 2015): 70–87. http://dx.doi.org/10.1175/jhm-d-14-0030.1.

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Abstract The seasonal and diurnal climatologies of precipitable water and water vapor flux in the mid-Atlantic region of the United States are examined. A new method of computing water vapor flux at high temporal resolution in an atmospheric column using global positioning system (GPS) precipitable water, radiosonde data, and velocity–azimuth display (VAD) wind profiles is presented. It is shown that water vapor flux exhibits striking seasonal and diurnal cycles and that the diurnal cycles exhibit rapid transitions over the course of the year. A particularly large change in the diurnal cycle of meridional water vapor flux between spring and summer seasons is found. These features of the water cycle cannot be resolved by twice-a-day radiosonde observations. It is also shown that precipitable water exhibits a pronounced seasonal cycle and a less pronounced diurnal cycle. There are large contrasts in the climatology of water vapor flux between precipitation and nonprecipitation conditions in the mid-Atlantic region. It is hypothesized that the seasonal transition of large-scale flow environments and the change in the degree of differential heating in the mountainous and coastal areas are responsible for the contrasting diurnal cycle between spring and summer seasons.
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Dissertations / Theses on the topic "Seasonal cycle"

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Mortin, Jonas. "On the Arctic Seasonal Cycle." Doctoral thesis, Stockholms universitet, Meteorologiska institutionen (MISU), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100008.

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The seasonal cycle of snow and sea ice is a fundamental feature of the Arctic climate system. In the Northern Hemisphere, about 55 million km2 of sea ice and snow undergo complete melt and freeze processes every year. Because snow and sea ice are much brighter (higher albedo) than the underlying surface, their presence reduces absorption of incoming solar energy at high latitudes. Therefore, changes of the sea-ice and snow cover have a large impact on the Arctic climate and possibly at lower latitudes. One of the most important determining factors of the seasonal snow and sea-ice cover is the timing of the seasonal melt-freeze transitions. Hence, in order to better understand Arctic climate variability, it is key to continuously monitor these transitions. This thesis presents an algorithm for obtaining melt-freeze transitions using scatterometers over both the land and sea-ice domains. These satellite-borne instruments emit radiation at microwave wavelengths and measure the returned signal. Several scatterometers are employed: QuikSCAT (1999–2009), ASCAT (2009–present), and OSCAT (2009–present). QuikSCAT and OSCAT operate at Ku-band (λ=2.2 cm) and ASCAT at C-band (λ=5.7 cm), resulting in slightly different surface interactions. This thesis discusses these dissimilarities over the Arctic sea-ice domain, and juxtaposes the time series of seasonal melt-freeze transitions from the three scatterometers and compares them with other, independent datasets. The interactions of snow and sea ice with other components of the Arctic climate system are complex. Models are commonly employed to disentangle these interactions. But this hinges upon robust and well-formulated models, reached by perpetual testing against observations. This thesis also presents an evaluation of how well eleven state-of-the-art global climate models reproduce the Arctic sea-ice cover and the summer length—given by the melt-freeze transitions—using surface observations of air temperature.

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 1: In press. Paper 4: Submitted.

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Hsu, Wei-Ching. "The variability and seasonal cycle of the Southern Ocean carbon flux." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49079.

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Both physical circulation and biogeochemical characteristics are unique in the Southern Ocean (SO) region, and are fundamentally different from those of the northern hemisphere. Moreover, according to previous research, the oceanic response to the trend of the Southern Annual Mode (SAM) has profound impacts on the future oceanic uptake of carbon dioxide in the SO. In other words, the climate and circulation of the SO are strongly coupled to the overlying atmospheric variability. However, while we have understanding on the SO physical circulation and have the ability to predict the future changes of the SO climate and physical processes, the link between the SO physical processes, the air-sea carbon flux, and correlated climate variability remains unknown. Even though scientists have been studying the spatial and temporal variability of the SO carbon flux and the associated biogeochemical processes, the spatial patterns and the magnitudes of the air-sea carbon flux do not agree between models and observations. Therefore, in this study, we utilized a modified version of a general circulation model (GCM) to performed realistic simulations of the SO carbon on seasonal to interannual timescales, and focused on the crucial physical and biogeochemical processes that control the carbon flux. The spatial pattern and the seasonal cycle of the air-sea carbon dioxide flux is calculated, and is broadly consistent with the climatological observations. The variability of air-sea carbon flux is mainly controlled by the gas exchange rate and the partial pressure of carbon dioxide, which is in turn controlled by the compensating changes in temperature and dissolved inorganic carbon. We investigated the seasonal variability of dissolved inorganic carbon based on different regional processes. Furthermore, we also investigated the dynamical adjustment of the surface carbon flux in response to the different gas exchange parameterizations, and conclude that parameterization has little impact on spatially integrated carbon flux. Our simulation well captured the SO carbon cycle variability on seasonal to interannual timescales, and we will improve our model by employ a better scheme of nutrient cycle, and consider more nutrients as well as ecological processes in our future study.
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Mooring, Todd A. "Changes in atmospheric eddy length with the seasonal cycle and global warming." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65599.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 59-60).
A recent article by Kidston et al. [8] demonstrates that the length of atmospheric eddies increases in simulations of future global warming. This thesis expands on Kidston et al.'s work with additional studies of eddy length in the NCEP2 reanalysis (a model-data synthesis that reconstructs past atmospheric circulation) and general circulation models (GCMs) from the Coupled Model Intercomparison Project phase 3. Eddy lengths are compared to computed values of the Rossby radius and the Rhines scale, which have been hypothesized to set the eddy length. The GCMs reproduce the seasonal variation in the eddy lengths seen in the reanalysis. To explore the effect of latent heating on the eddies, a modification to the static stability is used to calculate an effective Rossby radius. The effective Rossby radius is an improvement over the traditional dry Rossby radius in predicting the seasonal cycle of northern hemisphere eddy length, if the height scale used for calculation of the Rossby radius is the depth of the free troposphere. There is no improvement if the scale height is used instead of the free troposphere depth. However, both Rossby radii and the Rhines scale fail to explain the weaker seasonal cycle in southern hemisphere eddy length. In agreement with Kidson et al., the GCMs robustly project an increase in eddy length as the climate warms. The Rossby radii and Rhines scale are also generally projected to increase. Although it is not possible to state with confidence what process ultimately controls atmospheric eddy lengths, taken as a whole the results of this study increase confidence in the projection of future increases in eddy length.
by Todd A. Mooring.
S.B.
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Stålhandske, Sandra. "Spring Phenology of Butterflies : The role of seasonal variation in life-cycle regulation." Doctoral thesis, Stockholms universitet, Zoologiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-132278.

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Animals and plants in temperate regions must adapt their life cycle to pronounced seasonal variation. The research effort that has gone into studying these cyclical life history events, or phenological traits, has increased greatly in recent decades. As phenological traits are often correlated to temperature, they are relevant to study in terms of understanding the effect of short term environmental variation as well as long term climate change. Because of this, changes in phenology are the most obvious and among the most commonly reported responses to climate change. Moreover, phenological traits are important for fitness as they determine the biotic and abiotic environment an individual encounters. Fine-tuning of phenology allows for synchronisation at a local scale to mates, food resources and appropriate weather conditions. On a between-population scale, variation in phenology may reflect regional variation in climate. Such differences can not only give insights to life cycle adaptation, but also to how populations may respond to environmental change through time. This applies both on an ecological scale through phenotypic plasticity as well as an evolutionary scale through genetic adaptation. In this thesis I have used statistical and experimental methods to investigate both the larger geographical patterns as well as mechanisms of fine-tuning of phenology of several butterfly species. The main focus, however, is on the orange tip butterfly, Anthocharis cardamines, in Sweden and the United Kingdom. I show a contrasting effect of spring temperature and winter condition on spring phenology for three out of the five studied butterfly species. For A. cardamines there are population differences in traits responding to these environmental factors between and within Sweden and the UK that suggest adaptation to local environmental conditions. All populations show a strong negative plastic relationship between spring temperature and spring phenology, while the opposite is true for winter cold duration. Spring phenology is shifted earlier with increasing cold duration. The environmental variables show correlations, for example, during a warm year a short winter delays phenology while a warm spring speeds phenology up. Correlations between the environmental variables also occur through space, as the locations that have long winters also have cold springs. The combined effects of these two environmental variables cause a complex geographical pattern of phenology across the UK and Sweden. When predicting phenology with future climate change or interpreting larger geographical patterns one must therefore have a good enough understanding of how the phenology is controlled and take the relevant environmental factors in to account. In terms of the effect of phenological change, it should be discussed with regards to change in life cycle timing among interacting species. For example, the phenology of the host plants is important for A. cardamines fitness, and it is also the main determining factor for oviposition. In summary, this thesis shows that the broad geographical pattern of phenology of the butterflies is formed by counteracting environmental variables, but that there also are significant population differences that enable fine-tuning of phenology according to the seasonal progression and variation at the local scale.

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Manuscript.

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Mizunuma, Toshie. "Seasonal patterns of forest canopy and their relevance for the global carbon cycle." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10446.

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In the terrestrial biosphere forests have a significant role as a carbon sink. Under recent climate change, it is increasingly important to detect seasonal change or ‘phenology’ that can influence the global carbon cycle. Monitoring canopies using camera systems has offered an inexpensive means to quantify the phenological changes. However, the reliability is not well known. In order to examine the usefulness of cameras to observe forest phenology, we analysed canopy images taken in two deciduous forests in Japan and England and investigate which colour index is best for tracking forest phenology and predict carbon uptake by trees. A camera test using model leaves under controlled conditions has also carried out to examine sensitivity of colour indices for discriminating leaf colours. The main findings of the present study are: 1) Time courses of colour indices derived from images taken in deciduous forests showed typical patterns throughout the growing season. Although cameras are not calibrated instrument, analysis of images allowed detecting the timings of phenological events such as leaf onset and leaf fall; 2) The strength of the green channel (or chromatic coordinate of green) was useful to observe leaf expansion as well as damage by spring late frost. However, the results of the camera test using model leaves suggested that this index was not sufficiently sensitive to detect leaf senescence. Amongst colour indices, Hue was the most robust metric for different cameras, different atmospheric conditions and different distances. The test also revealed Hue was useful to track nitrogen status of leaves; 3) Modelling results using a light use efficiency model for GPP showed a strong relationship between GPP and Hue, which was stronger than the relationships using alternative traditional indices.
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Peffers, Caitlin Skye. "Investigating Seasonal Responses in the Northern House Mosquito, Culex pipiens." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619111174458783.

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Eder, Derek N. "A naturalistic study of sleep regulation in seasonal affective disorder : SAD, asleep, and unresponsive /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/9072.

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Himmich, Kenza. "Antarctic sea ice : a seasonal perspective." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS105.

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La banquise antarctique a subi une réduction brutale en 2016, après plus de quatre décennies d'une lente augmentation. Une telle évolution pourrait avoir de larges conséquences, compte tenu de l'importance de la banquise antarctique pour le climat, l'océan et l'écosystème marin polaire local. Pourtant, les modèles climatiques ne parviennent pas à reproduire les changements observés, laissant planer une incertitude considérable quant à leur origine et à leurs conséquences. Cette déficience des modèles est en partie due à une mauvaise compréhension des processus fondamentaux liés à la banquise antarctique. Dans cette thèse, nous contribuons à faire progresser cette compréhension, en adoptant une perspective saisonnière. Les processus moteurs de l'avancée et du retrait saisonniers de la banquise sont explorés. En particulier, les rôles possibles d'un préconditionnement thermodynamique, des flux de chaleur air-glace-mer et de la dynamique de la banquise sont étudiés. Nous montrons, dans l'état moyen, que les dates d'avancée et de retrait de la banquise sont largement contrôlées par des processus thermodynamiques, à travers un préconditionnement respectif du contenu thermique de la couche de mélange et de l'épaisseur de la banquise. Les variations des flux de chaleur air-glace-mer et la dynamique de la banquise ont une importance significative mais secondaire. Ces conclusions sont étayées par un modèle thermodynamique simple, des analyses d'observations et un modèle glace-océan (NEMO). Nous montrons également que les changements récents dans la saisonnalité de la banquise sont principalement dus à des processus thermodynamiques, comme pour l'état moyen. La réduction de la banquise antarctique suivant l'année 2016 coïncide avec un recul plus précoce et une avancée plus tardive de la banquise, à l'échelle quasi-circompolaire. Notre analyse relie ces changements à une glace plus fine en hiver, une fonte plus rapide au printemps et un océan de surface plus chaud en été, en accord avec les processus de la rétroaction glace-albédo. L'empreinte circumpolaire de ces changements leur suggère une cause océanique
Antarctic sea ice has undergone an abrupt reduction in 2016, following more than four decades of a slow increase. This could have wide-ranging consequences given the importance of Antarctic sea ice for climate, ocean, and local ecosystem. Yet, climate models fail to capture this observed evolution, leaving considerable uncertainty regarding its origin, impacts and future evolution. Models failure relates, but not only, to a poor understanding of fundamental Antarctic sea ice processes. In this thesis, we contribute to progress understanding of Antarctic sea ice, adopting a seasonal perspective. We investigate the drivers of seasonal sea ice edge advance and retreat, analyzing the roles of thermodynamic preconditioning, air-ice-sea heat fluxes and sea ice dynamics. We show that, in the mean state, timings of ice edge advance and retreat are largely controlled by thermodynamics, via preconditioning from mixed layer heat content and sea ice thickness, respectively. Variations in air-ice-sea heat fluxes and sea ice dynamics have a significant but secondary importance. This conclusion is supported by a simple thermodynamic model, observational analyses and the NEMO ice-ocean model. We also show that recent changes in sea ice seasonality are mainly driven by thermodynamics, similar to the mean state. The reduction in Antarctic sea ice following 2016 coincides with nearly circumpolar earlier retreat and later advance of the ice edge. Our analysis links these changes to thinner ice in winter, faster melt in spring and warmer upper ocean in summer, in line with ice-albedo feedback processes. Based on the circumpolar footprint of these changes, we argue that they likely have an oceanic origin
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Chinraj, Venkatesh Kumar. "Sustainability evaluation of seasonal snow storage for building cooling systems : a life cycle approach." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/55194.

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In Canada, the residential building sector consumes 17% of the total energy and contributes 15% of the total GHG emissions. Predominantly, the energy demand for cooling in the residential sector is increasing due to large occupancy floor area and high usage of air-conditioning. Minimizing energy use and GHG emissions is one of the highest priority goals set for national energy management strategies in developed countries including Canada. In this research, a sustainability assessment framework is developed to evaluate the techno-economic and environmental performance of different building cooling systems, namely conventional snow storage system, watertight snow storage system, high-density snow storage system, and the conventional chiller cooling system. The framework is implemented in a low-rise residential building in Kelowna (BC, Canada) to appraise its practicality. The Life cycle assessment (LCA) approach is used to assess the environmental impacts of different building cooling systems. LCA results revealed that the systems have varying energy requirements and associated environmental impacts during the different life cycle phases (extraction and construction, utilization, and end of life). The annual cooling energy demands for different cooling systems are also estimated. The LCA is carried out using SimaPro 8.1 software and the TRACI 2.1 method. Multi-criteria decision analysis is employed using the ‘Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE-II)’ to evaluate the sustainability of different cooling systems over their life cycle. The results showed that the snow storage systems tend to reduce the greenhouse gas emissions and associated environmental impacts more than the conventional cooling system. A probabilistic feasibility evaluation tool is developed to evaluate the techno-economic performance of different cooling systems. The incremental economic performance of alternatives is estimated in terms of the total cooling cost per kWh at the facility. Monte-Carlo simulation was performed to consider the uncertainty factors involved in the techno-economic parameters of cooling systems. Results of this analysis verified that the snow storage systems are more energy efficient and low-cost options for building cooling systems. The developed frameworks will support decision-makers in evaluating the sustainability of building cooling systems. Moreover, socio-economic benefits, i.e. improving affordability, equity, and enhancing energy sustainability, could be achieved.
Applied Science, Faculty of
Engineering, School of (Okanagan)
Graduate
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Halkides, Daria Jean. "The effects of the seasonal cycle on interannual SST variability in the Indian Ocean." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/dissertations/fullcit/3165810.

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Books on the topic "Seasonal cycle"

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Ehrnreich, Hugo S. Seasonal profits: Managing the seasonal marketing cycle. London: Reuters Business Insight, 1998.

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Barsky, Robert B. The seasonal cycle and the business cycle. Cambridge, MA: National Bureau of Economic Research, 1988.

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Beaulieu, J. Joseph. The seasonal cycle in U.S. manufacturing. Cambridge, MA: National Bureau of Economic Research, 1990.

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Caporale, Guglielmo Maria. The seasonal cycle in the U.K. economy. London: National Institute of Economic and Social Research, 1993.

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Bee Dagum, Estela, and Silvia Bianconcini. Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31822-6.

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Straus, David M. The seasonal cycle of energetics from the GLAS/UMD Climate GCM. [Washington, DC]: National Aeronautics and Space Administration, Information Management Division, 1989.

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Seasonal Climatology, Variability, Characteristics, and Prediction of the Caribbean Rainfall Cycle. [New York, N.Y.?]: [publisher not identified], 2021.

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Yang, Wenchang. The Hydroclimate of East Africa: Seasonal cycle, Decadal Variability, and Human induced Climate Change. [New York, N.Y.?]: [publisher not identified], 2015.

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Edmunds, Helen M. The seasonal cycle of dissolved inorganic nutrients in the southern North Sea during 1988/1989. Norwich: University of East Anglia, 1991.

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Park, Geun-Ha. Procedures to create near real-time seasonal air-sea CO₂ flux maps. Miami, Fla: United States Dept. of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, 2010.

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Book chapters on the topic "Seasonal cycle"

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Fink, Andreas H., Thomas Engel, Volker Ermert, Roderick van der Linden, Malvin Schneidewind, Robert Redl, Ernest Afiesimama, et al. "Mean Climate and Seasonal Cycle." In Meteorology of Tropical West Africa, 1–39. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118391297.ch1.

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Manning, Martin R. "Seasonal Cycles in Atmospheric CO2 Concentrations." In The Global Carbon Cycle, 65–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84608-3_3.

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Bee Dagum, Estela, and Silvia Bianconcini. "Trend-Cycle Estimation." In Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation, 167–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31822-6_7.

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Nylin, Sören. "Seasonal plasticity and life-cycle adaptations in butterflies." In Insect life-cycle polymorphism, 41–67. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1888-2_3.

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Iwasa, Yoh, Hideo Ezoe, and Atsushi Yamauchi. "Evolutionarily stable seasonal timing of univoltine and bivoltine insects." In Insect life-cycle polymorphism, 69–89. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1888-2_4.

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Malan, André. "The Torpor-Arousal Cycle is Controlled by an Endogenous Clock." In Living in a Seasonal World, 211–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28678-0_19.

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DesGranges, Jean-Luc, Jean Rodrigue, Bernard Tardif, and Marcel Laperle. "Breeding Success of Osprey under High Seasonal Methylmercury Exposure." In Mercury in the Biogeochemical Cycle, 287–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60160-6_15.

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Bee Dagum, Estela, and Silvia Bianconcini. "Real Time Trend-Cycle Prediction." In Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation, 243–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31822-6_10.

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Bee Dagum, Estela, and Silvia Bianconcini. "Seasonal Adjustment: Meaning, Purpose, and Methods." In Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation, 61–78. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31822-6_3.

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Plumb, R. Alan. "On the Seasonal Cycle of Stratospheric Planetary Waves." In Middle Atmosphere, 233–42. Basel: Birkhäuser Basel, 1989. http://dx.doi.org/10.1007/978-3-0348-5825-0_7.

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Conference papers on the topic "Seasonal cycle"

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Milton, J. W. "A Review of Seasonal Dispatch Modeling Methods." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50087.

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Rankine cycle power plants efficiency varies across the seasons due to changes in ambient air and cooling water temperatures. The size of this variation is influenced by the unit design. Test data collected on units to develop economic dispatch (input output) models produces an “as found” result. This result includes current imposed season influence and mechanical condition of the unit. With additional steps, these models can be adjusted to account for and quantify the seasonal efficiency changes. This paper will review the various methods used to account for these changes and evaluate the pros and cons of each method.
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Magaña, Victor, and Christian Dominguez. "Contribution of tropical cyclones to seasonal precipitation over the tropical Americas." In First International Electronic Conference on the Hydrological Cycle. Basel, Switzerland: MDPI, 2017. http://dx.doi.org/10.3390/chycle-2017-04886.

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Pashina, Olga. "Annual Nature Cycle vs Human Life Cycle: Female Ritual Singing in the Seasonal Cycle Among Russians." In The 5th International Conference on Art Studies: Research, Experience, Education (ICASSEE 2021). Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789048557240/icassee.2021.011.

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Vicente-Serrano, Sergio, Juan Lopez-Moreno, Kris Correa, Grinia Avalos, Cesar Azorin-Molina, Ahmed El Kenawy, Miquel Tomas-Burguera, et al. "Seasonal and annual daily precipitation risk maps for the Andean region of Peru." In First International Electronic Conference on the Hydrological Cycle. Basel, Switzerland: MDPI, 2017. http://dx.doi.org/10.3390/chycle-2017-04836.

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Wang, Jiayi, Arne Winguth, and Mikaela Brown. "SEASONALITY AND SEASONAL HYDROLOGICAL CYCLE ANALYSIS OF THE PETM USING CESM1.2." In 54th Annual GSA South-Central Section Meeting 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020sc-343325.

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Castelli, Alessandro Francesco, Lorenzo Pilotti, and Emanuele Martelli. "Optimal Design and Operation Planning of VPPs Based on Hydrogen Storage and Hydrogen Combined Cycle." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-82609.

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Abstract Virtual Power Plants (VPPs) and Multi-Energy Systems (MESs) are aggregated energy systems comprising renewable energy sources, energy storage systems and dispatchable units. The presence of such diverse systems unlocks the possibility of a near-zero carbon emission energy generation while overtaking the main drawback of renewables sources that is their lack of control. Among the different energy storage systems, large scale (seasonal) H2 storages (e.g. salt cavern or depleted oil field) would allow shifting the excess solar energy from the hot to the cold season. High round-trip efficiency (electricity to electricity) and unpaired operational flexibility could be achieved using H2 in state-of-the-art combined cycles. This work investigates the optimal design and operation of a fully renewable VPPs integrating PV panels, batteries for short-term storage, electrolyzers, H2 seasonal storage and H2-fired combined cycles. The optimal design and optimal yearly operation of such complex VPP are formulated as Mixed Integer Linear Programs (MILP) and solved to global optimality imposing to meet the highest possible fraction of the electricity demand profile. Results indicate that the optimal VPP design features a 490 MWhel of battery, 687 MWel of PV panels, 392 MWel of electrolyzer and requires a minimum H2 storage size of 168 GWhH2,LHV to power a combined cycle of 58 MWel. In case of a geological H2 seasonal storage availability, the resulting cost of generated electricity is above 430 $/MWhel, considerably higher with respect to the average electricity prices in Italy (in the range 50–80 $/MWhel) underlining the need of achieving better power-to-gas efficiencies and lower specific investment costs of conversion technologies in the next years. Furthermore, if the H2 storage needs to be built on purpose, the resulting cost of electricity would be even higher.
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Berke, M., A. Taylor, A. Koutsodendris, and J. Pross. "Seasonal Hydroclimate in the Northern Mediterranean Borderlands During the Last Glacial Cycle." In IMOG 2023. European Association of Geoscientists & Engineers, 2023. http://dx.doi.org/10.3997/2214-4609.202333182.

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Korotkikh I.N., I. N., M. U. Grjaznov M.U., and S. A. Totskaya S.A. "Biological features of Lavandula angustifolia Mill. сultivated in the conditions of Russia non-chernozem zone." In Растениеводство и луговодство. Тимирязевская сельскохозяйственная академия, 2020. http://dx.doi.org/10.26897/978-5-9675-1762-4-2020-29.

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The article discusses the biological features of Lavandula angustifolia Mill., cultivated in the non-Chernozem zone of Russia. In the Moscow region L. angustifolia goes through the entire seasonal cycle of growth and development lasting 150-155 days, lavandula plants are 93-97% resistant to the conditions of the winter season (if there is a snow cover of at least 10-12 cm high).
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Tuchkova, Natalia Pavlovna, Konstantin Pavlovich Belyaev, Gury Mikhaylovich Mikhaylov, and Alexey Nikolaevich Salnikov. "Probabilistic analysis of the climatic seasonal cycle of atmospheric pressure fields in the Arctic region of Russia." In 23rd Scientific Conference “Scientific Services & Internet – 2021”. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/abrau-2021-17.

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The paper analyzes the climatic seasonal variability of the atmospheric pressure field in the Arctic region of Russia. The main research method is the probabilistic and statistical analysis of the time series of the pressure field recorded at fixed points for 60 years long from 1948 to 2008 in the Arctic zone of Russia. Based on these data, the climatic seasonal variability was constructed as an averaging of the values of a given time series at each point in space for each fixed day. The characteristics of such a seasonal cycle, its amplitude and phase are studied. Analyzes of those characteristics has been performed and their geophysical interpretation is carried out. In particular, the minimum and maximum values of the series were determined over the entire region and the time series of these characteristics were constructed. Numerical calculations have been realized on the Lomonosov-2 supercomputer of the Lomonosov Moscow State University.
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Hansen, E., S. Gerland, G. Spreen, and K. Høyland. "The Seasonal Cycle of Sea Ice Thickness on the North East Greenland Shelf." In OTC Arctic Technology Conference. Offshore Technology Conference, 2015. http://dx.doi.org/10.4043/25572-ms.

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Reports on the topic "Seasonal cycle"

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Barsky, Robert, and Jeffrey Miron. The Seasonal Cycle and the Business Cycle. Cambridge, MA: National Bureau of Economic Research, August 1988. http://dx.doi.org/10.3386/w2688.

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Beaulieu, J. Joseph, and Jeffrey Miron. The Seasonal Cycle in U.S. Manufacturing. Cambridge, MA: National Bureau of Economic Research, September 1990. http://dx.doi.org/10.3386/w3450.

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Schwinger, Jörg. Report on modifications of ocean carbon cycle feedbacks under ocean alkalinization. OceanNETs, June 2022. http://dx.doi.org/10.3289/oceannets_d4.2.

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Ocean Alkalinization deliberately modifies the chemistry of the surface ocean to enhance the uptake of atmospheric CO2. Here we quantify, using idealized Earth system model (ESM) simulations, changes in carbon cycle feedbacks and in the seasonal cycle of the surface ocean carbonate system due to ocean alkalinization. We find that both, carbon-concentration and carbon climate feedback, are enhanced due to the increased sensitivity of the carbonate system to changes in atmospheric CO2 and changes in temperature. While the temperature effect, which decreases ocean carbon uptake, remains small in our model, the carbon concentration feedback enhances the uptake of carbon due to alkalinization by more than 20%. The seasonal cycle of air-sea CO2 fluxes is strongly enhanced due to an increased buffer capacity in an alkalinized ocean. This is independent of the seasonal cycle of pCO2, which is only slightly enhanced. The most significant change in the seasonality of the surface ocean carbonate system is an increased seasonal cycle of the aragonite saturation state, which has the potential to adversely affect ecosystem health.
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Miron, Jeffrey. Seasonal Fluctuations and the Life Cycle-Permanent Income Model of Consumption. Cambridge, MA: National Bureau of Economic Research, February 1986. http://dx.doi.org/10.3386/w1845.

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Mulligan, Casey. Does Labor Supply Matter During a Recession? Evidence from the Seasonal Cycle. Cambridge, MA: National Bureau of Economic Research, September 2010. http://dx.doi.org/10.3386/w16357.

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Baker, Christopher, Amanda Barker, Thomas Douglas, Stacey Doherty, and Robyn Barbato. Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities. Engineer Research and Development Center (U.S.), July 2024. http://dx.doi.org/10.21079/11681/48754.

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Understanding how soil microbes respond to permafrost thaw is critical to predicting the implications of climate change for soil processes. However, our knowledge of microbial responses to warming is mainly based on laboratory thaw experiments, and field sampling in warmer months when sites are more accessible. In this study, we sampled a depth profile through seasonally thawed active layer and permafrost in the Imnavait Creek Watershed, Alaska, USA over the growing season from summer to late fall. Amplicon sequencing showed that bacterial and fungal communities differed in composition across both sampling depths and sampling months. Surface communities were most variable while those from the deepest samples, which remained frozen throughout our sampling period, showed little to no variation over time. However, community variation was not explained by trace metal concentrations, soil nutrient content, pH, or soil condition (frozen/thawed), except insofar as those measurements were correlated with depth. Our results highlight the importance of collecting samples at multiple times throughout the year to capture temporal variation, and suggest that data from across the annual freeze-thaw cycle might help predict microbial responses to permafrost thaw.
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Boyle, J. S. Intercomparison of the seasonal cycle in 200 hPa kinetic energy in AMIP GCM simulations. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/472891.

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Musur, M. A., and C. D. Beggan. Seasonal and Solar Cycle Variation of Schumann Resonance Intensity and Frequency at Eskdalemuir Observatory, UK. Balkan, Black sea and Caspian sea Regional Network for Space Weather Studies, October 2019. http://dx.doi.org/10.31401/sungeo.2019.01.11.

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Mahajan, Salil, Linsey Passarella, Forrest Hoffman, Murali Meena, and Min Xu. Assessing Teleconnections-Induced Predictability of Regional Water Cycle on Seasonal to Decadal Timescales Using Machine Learning Approaches. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769676.

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Boyle, J. S. Comparison of the 200 hPa circulation in CSM and CCM3 simulations and NCEP and ERA reanalysis: seasonal cycle and interannual variation. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/2876.

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