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Journal articles on the topic 'Model Seasonal Cycle'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

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 (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 negligibl

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2

Jucker, M., S. Fueglistaler, and G. K. Vallis. "Maintenance of the Stratospheric Structure in an Idealized General Circulation Model." Journal of the Atmospheric Sciences 70, no. 11 (2013): 3341–58. http://dx.doi.org/10.1175/jas-d-12-0305.1.

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Abstract This work explores the maintenance of the stratospheric structure in a primitive equation model that is forced by a Newtonian cooling with a prescribed radiative equilibrium temperature field. Models such as this are well suited to analyze and address questions regarding the nature of wave propagation and troposphere–stratosphere interactions. The focus lies on the lower to midstratosphere and the mean annual cycle, with its large interhemispheric variations in the radiative background state and forcing, is taken as a benchmark to be simulated with reasonable verisimilitude. A reasona

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3

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 (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 tropic

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Cubadda, Gianluca, Giovanni Savio, and Roberto Zelli. "SEASONALITY, PRODUCTIVITY SHOCKS, AND SECTORAL COMOVEMENTS IN A REAL BUSINESS CYCLE MODEL FOR ITALY." Macroeconomic Dynamics 6, no. 3 (2002): 337–56. http://dx.doi.org/10.1017/s1365100500000316.

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This paper investigates the degree of comovements in quarterly Italian time series of sectoral output. A recently developed multivariate technique for the empirical analysis of long-run, cyclical and seasonal comovements is used in the context of a multisectoral real-business-cycle model augmented with persistent seasonal shocks in productivity. Our empirical results emphasize the role of input–output relations in the propagation mechanism and indicate that sectoral outputs have a relatively low number of common stochastic trends, in conflict with the hypothesis of independent productivity sho

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Chen, Gang, and Lantao Sun. "Mechanisms of the Tropical Upwelling Branch of the Brewer–Dobson Circulation: The Role of Extratropical Waves." Journal of the Atmospheric Sciences 68, no. 12 (2011): 2878–92. http://dx.doi.org/10.1175/jas-d-11-044.1.

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Abstract The role of extratropical waves in the tropical upwelling branch of the Brewer–Dobson circulation is investigated in an idealized model of the stratosphere and troposphere. To simulate different stratospheric seasonal cycles of planetary waves in the two hemispheres, seasonally varying radiative heating is imposed only in the stratosphere, and surface topographic forcing is prescribed only in the Northern Hemisphere (NH). A zonally symmetric version of the same model is used to diagnose the effects of different wavenumbers and different regions of the total forcing on tropical stratos

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6

Giese, Benjamin S., and James A. Carton. "The Seasonal Cycle in Coupled Ocean-Atmosphere Model." Journal of Climate 7, no. 8 (1994): 1208–17. http://dx.doi.org/10.1175/1520-0442(1994)007<1208:tscico>2.0.co;2.

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Mongwe, N. Precious, Marcello Vichi, and Pedro M. S. Monteiro. "The seasonal cycle of <i>p</i>CO<sub>2</sub> and CO<sub>2</sub> fluxes in the Southern Ocean: diagnosing anomalies in CMIP5 Earth system models." Biogeosciences 15, no. 9 (2018): 2851–72. http://dx.doi.org/10.5194/bg-15-2851-2018.

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Abstract. The Southern Ocean forms an important component of the Earth system as a major sink of CO2 and heat. Recent studies based on the Coupled Model Intercomparison Project version 5 (CMIP5) Earth system models (ESMs) show that CMIP5 models disagree on the phasing of the seasonal cycle of the CO2 flux (FCO2) and compare poorly with available observation products for the Southern Ocean. Because the seasonal cycle is the dominant mode of CO2 variability in the Southern Ocean, its simulation is a rigorous test for models and their long-term projections. Here we examine the competing roles of

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8

Atkinson, C. P., H. L. Bryden, J. J.-M. Hirschi, and T. Kanzow. "On the seasonal cycles and variability of Florida Straits, Ekman and Sverdrup transports at 26° N in the Atlantic Ocean." Ocean Science 6, no. 4 (2010): 837–59. http://dx.doi.org/10.5194/os-6-837-2010.

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Abstract. Since April 2004 the RAPID array has made continuous measurements of the Atlantic Meridional Overturning Circulation (AMOC) at 26° N. Two key components of this system are Ekman transport zonally integrated across 26° N and western boundary current transport in the Florida Straits. Whilst measurements of the AMOC as a whole are somewhat in their infancy, this study investigates what useful information can be extracted on the variability of the Ekman and Florida Straits transports using the decadal timeseries already available. Analysis is also presented for Sverdrup transports zonall

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9

Atkinson, C. P., H. L. Bryden, J. J. M. Hirschi, and T. Kanzow. "On the variability of Florida Straits and wind driven transports at 26° N in the Atlantic Ocean." Ocean Science Discussions 7, no. 2 (2010): 919–71. http://dx.doi.org/10.5194/osd-7-919-2010.

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Abstract. Since April 2004 the RAPID array has made continuous measurements of the Atlantic Meridional Overturning Circulation (AMOC) at 26° N. Two key components of this system are Ekman transport zonally integrated across 26° N and western boundary current transport in the Florida Straits. Whilst measurements of the AMOC as a whole are somewhat in their infancy, this study investigates what useful information can be extracted on the variability of the Ekman and Florida Straits transports using the decadal timeseries already available. Analysis is also presented for Sverdrup transports zonall

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10

Thum, Tea, Julia E. M. S. Nabel, Aki Tsuruta, et al. "Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub>." Biogeosciences 17, no. 22 (2020): 5721–43. http://dx.doi.org/10.5194/bg-17-5721-2020.

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Abstract. The trajectories of soil carbon in our changing climate are of the utmost importance as soil is a substantial carbon reservoir with a large potential to impact the atmospheric carbon dioxide (CO2) burden. Atmospheric CO2 observations integrate all processes affecting carbon exchange between the surface and the atmosphere and therefore are suitable for carbon cycle model evaluation. In this study, we present a framework for how to use atmospheric CO2 observations to evaluate two distinct soil carbon models (CBALANCE, CBA, and Yasso, YAS) that are implemented in a global land surface m

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11

Kushner, Paul J., and Lorenzo M. Polvani. "Stratosphere–Troposphere Coupling in a Relatively Simple AGCM: Impact of the Seasonal Cycle." Journal of Climate 19, no. 21 (2006): 5721–27. http://dx.doi.org/10.1175/jcli4007.1.

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Abstract The seasonal time dependence of the tropospheric circulation response to polar stratospheric cooling in a simple atmospheric general circulation model is investigated. When the model is run without a seasonal cycle, polar stratospheric cooling induces a positive annular-mode response in the troposphere that takes a remarkably long time—several hundred days—to fully equilibrate. One is thus led to ask whether the tropospheric response would survive in the presence of a seasonal cycle. When a seasonal cycle is introduced into the model stratosphere, the tropospheric response appears wit

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12

Hindrayanto, Irma, Jan P. A. M. Jacobs, Denise R. Osborn, and Jing Tian. "TREND–CYCLE–SEASONAL INTERACTIONS: IDENTIFICATION AND ESTIMATION." Macroeconomic Dynamics 23, no. 8 (2018): 3163–88. http://dx.doi.org/10.1017/s1365100517001092.

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Economists typically use seasonally adjusted data in which the assumption is imposed that seasonality is uncorrelated with trend and cycle. The importance of this assumption has been highlighted by the Great Recession. The paper examines an unobserved components model that permits nonzero correlations between seasonal and nonseasonal shocks. Identification conditions for estimation of the parameters are discussed from the perspectives of both analytical and simulation results. Applications to UK household consumption expenditures and US employment reject the zero correlation restrictions and a

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Wang, Xun, Andrew E. Dessler, Mark R. Schoeberl, Wandi Yu, and Tao Wang. "Impact of convectively lofted ice on the seasonal cycle of water vapor in the tropical tropopause layer." Atmospheric Chemistry and Physics 19, no. 23 (2019): 14621–36. http://dx.doi.org/10.5194/acp-19-14621-2019.

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Abstract. We use a forward Lagrangian trajectory model to diagnose mechanisms that produce the water vapor seasonal cycle observed by the Microwave Limb Sounder (MLS) and reproduced by the Goddard Earth Observing System Chemistry-Climate Model (GEOSCCM) in the tropical tropopause layer (TTL). We confirm in both the MLS and GEOSCCM that the seasonal cycle of water vapor entering the stratosphere is primarily determined by the seasonal cycle of TTL temperatures. However, we find that the seasonal cycle of temperature predicts a smaller seasonal cycle of TTL water vapor between 10 and 40∘ N than

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14

Kangasaho, Vilma, Aki Tsuruta, Leif Backman та ін. "The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5". Atmosphere 13, № 6 (2022): 888. http://dx.doi.org/10.3390/atmos13060888.

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This study investigates the contribution of different CH4 sources to the seasonal cycle of δ13C during 2000–2012 by using the TM5 atmospheric transport model, including spatially varying information on isotopic signatures. The TM5 model is able to produce the background seasonality of δ13C, but the discrepancies compared to the observations arise from incomplete representation of the emissions and their source-specific signatures. Seasonal cycles of δ13C are found to be an inverse of CH4 cycles in general, but the anti-correlations between CH4 and δ13C are imperfect and experience a large vari

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15

Stein, Karl, Axel Timmermann, Niklas Schneider, Fei-Fei Jin, and Malte F. Stuecker. "ENSO Seasonal Synchronization Theory." Journal of Climate 27, no. 14 (2014): 5285–310. http://dx.doi.org/10.1175/jcli-d-13-00525.1.

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Abstract One of the key characteristics of El Niño–Southern Oscillation (ENSO) is its synchronization to the annual cycle, which manifests in the tendency of ENSO events to peak during boreal winter. Current theory offers two possible mechanisms to account the for ENSO synchronization: frequency locking of ENSO to periodic forcing by the annual cycle, or the effect of the seasonally varying background state of the equatorial Pacific on ENSO’s coupled stability. Using a parametric recharge oscillator (PRO) model of ENSO, the authors test which of these scenarios provides a better explanation of

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16

Ballabrera-Poy, J., R. Murtugudde, R.-H. Zhang, and A. J. Busalacchi. "Coupled Ocean–Atmosphere Response to Seasonal Modulation of Ocean Color: Impact on Interannual Climate Simulations in the Tropical Pacific." Journal of Climate 20, no. 2 (2007): 353–74. http://dx.doi.org/10.1175/jcli3958.1.

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Abstract The ability to use remotely sensed ocean color data to parameterize biogenic heating in a coupled ocean–atmosphere model is investigated. The model used is a hybrid coupled model recently developed at the Earth System Science Interdisciplinary Center (ESSIC) by coupling an ocean general circulation model with a statistical atmosphere model for wind stress anomalies. The impact of the seasonal cycle of water turbidity on the annual mean, seasonal cycle, and interannual variability of the coupled system is investigated using three simulations differing in the parameterization of the ver

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17

Alexandrov, G. A. "Explaining the seasonal cycle of the globally averaged CO<sub>2</sub> with a carbon-cycle model." Earth System Dynamics 5, no. 2 (2014): 345–54. http://dx.doi.org/10.5194/esd-5-345-2014.

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Abstract. The seasonal changes in the globally averaged atmospheric carbon-dioxide concentrations reflect an important aspect of the global carbon cycle: the gas exchange between the atmosphere and terrestrial biosphere. The data on the globally averaged atmospheric carbon-dioxide concentrations, which are reported by Earth System Research Laboratory of the US National Oceanic &amp; Atmospheric Administration (NOAA/ESRL), could be used to demonstrate the adequacy of the global carbon-cycle models. However, it was recently found that the observed amplitude of seasonal variations in the atmo

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18

Bowman, Henry, Steven Turnock, Susanne E. Bauer, et al. "Changes in anthropogenic precursor emissions drive shifts in the ozone seasonal cycle throughout the northern midlatitude troposphere." Atmospheric Chemistry and Physics 22, no. 5 (2022): 3507–24. http://dx.doi.org/10.5194/acp-22-3507-2022.

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Abstract. Simulations by six Coupled Model Intercomparison Project Phase 6 (CMIP6) Earth system models indicate that the seasonal cycle of baseline tropospheric ozone at northern midlatitudes has been shifting since the mid-20th century. Beginning in ∼ 1940, the magnitude of the seasonal cycle increased by ∼10 ppb (measured from seasonal minimum to maximum), and the seasonal maximum shifted to later in the year by about 3 weeks. This shift maximized in the mid-1980s, followed by a reversal – the seasonal cycle decreased in amplitude and the maximum shifted back to earlier in the year. Similar

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19

Donohoe, Aaron, and David S. Battisti. "The Seasonal Cycle of Atmospheric Heating and Temperature." Journal of Climate 26, no. 14 (2013): 4962–80. http://dx.doi.org/10.1175/jcli-d-12-00713.1.

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Abstract The seasonal cycle of the heating of the atmosphere is divided into a component due to direct solar absorption in the atmosphere and a component due to the flux of energy from the surface to the atmosphere via latent, sensible, and radiative heat fluxes. Both observations and coupled climate models are analyzed. The vast majority of the seasonal heating of the northern extratropics (78% in the observations and 67% in the model average) is due to atmospheric shortwave absorption. In the southern extratropics, the seasonal heating of the atmosphere is entirely due to atmospheric shortwa

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20

Vergara, Oscar, Boris Dewitte, Ivonne Montes, et al. "Seasonal variability of the oxygen minimum zone off Peru in a high-resolution regional coupled model." Biogeosciences 13, no. 15 (2016): 4389–410. http://dx.doi.org/10.5194/bg-13-4389-2016.

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Abstract. In addition to being one of the most productive upwelling systems, the oceanic region off Peru is embedded in one of the most extensive oxygen minimum zones (OMZs) of the world ocean. The dynamics of the OMZ off Peru remain uncertain, partly due to the scarcity of data and to the ubiquitous role of mesoscale activity on the circulation and biogeochemistry. Here we use a high-resolution coupled physical/biogeochemical model simulation to investigate the seasonal variability of the OMZ off Peru. The focus is on characterizing the seasonal cycle in dissolved O2 (DO) eddy flux at the OMZ

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Moustapha, KONATE, NANEMA Emmanuel, and OUATTARA Frédéric. "Seasonal Variability of hmF2 in Low Latitudes using IRI." Journal of Scientific and Engineering Research 8, no. 9 (2021): 14–20. https://doi.org/10.5281/zenodo.10612921.

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<strong>Abstract</strong> The solar activity has an impact on the terrestrial environment and eventually on the upper atmosphere of the Earth, the ionosphere being a part of the latter where many atoms and molecules are strongly ionized. This layer contributes to the protection of the terrestrial environment against solar radiation. Its F2 region is the seat of the reflections of the electromagnetic waves whose most current use is that of the telecommunications. The quality of communications is sensitive to the situation of this height. This study deals with the knowledge of the long-term vari

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22

Hansen, Candice J., and David A. Paige. "A thermal model for the seasonal nitrogen cycle on Triton." Icarus 99, no. 2 (1992): 273–88. http://dx.doi.org/10.1016/0019-1035(92)90146-x.

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23

Luan, Xiaohan, and Leilei Han. "Prediction Model of Dynamic Resilient Modulus of Unsaturated Modified Subgrade under Multi-Factor Combination." Applied Sciences 12, no. 18 (2022): 9185. http://dx.doi.org/10.3390/app12189185.

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The objective of this research is to solve the problem of the lack of prediction methods and basis for the long-term road performance of oil shale residue-modified soil in seasonally frozen regions. This paper summarizes and expands the resilient modulus prediction methods in the related literature. Based on the measured soil–water characteristic curve (SWCC) of the compacted modified soil and the trend characteristics of dynamic resilient modulus under freeze–thaw cycles, a semi-empirical prediction model is proposed. This model was used to quantitatively forecast the resilient modulus of uns

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Kawaguchi, So, Toshihiro Yoshida, Luke Finley, Paul Cramp, and Stephen Nicol. "The krill maturity cycle: a conceptual model of the seasonal cycle in Antarctic krill." Polar Biology 30, no. 6 (2006): 689–98. http://dx.doi.org/10.1007/s00300-006-0226-2.

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Browse, J., K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher. "The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol." Atmospheric Chemistry and Physics Discussions 12, no. 1 (2012): 3409–65. http://dx.doi.org/10.5194/acpd-12-3409-2012.

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Abstract. The seasonal cycle in Arctic aerosol is typified by high concentrations of large aged anthropogenic particles transported from lower latitudes in the late Arctic winter and early spring followed by a sharp transition to low concentrations of locally sourced smaller particles in the summer. However, multi-model assessments show that many models fail to simulate a realistic cycle. Here, we use a global aerosol microphysics model and surface-level aerosol observations to understand how wet scavenging processes control the seasonal variation in Arctic black carbon (BC) and sulphate aeros

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Yue, Keyu, Yu Zheng, Hongdan Zhao, and Guangmin Gao. "Study on the effect of seasonal permafrost on soil resistivity." Journal of Physics: Conference Series 2896, no. 1 (2024): 012009. https://doi.org/10.1088/1742-6596/2896/1/012009.

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Abstract In order to study the effect of seasonal permafrost on soil resistivity, firstly, the resistivity influencing factors were analysed, the soil conductivity model was established, and the effects of permafrost on soil resistivity and the number of freeze-thaw cycles on soil resistivity at different depths were analysed through simulated experimental measurements. The results show that the freeze-thaw cycle will lead to soil structure damage, internal loosening, current conduction is blocked, and resistivity increases; with the rise in the number of freeze-thaw cycles, the soil is gradua

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27

Anav, A., P. Friedlingstein, M. Kidston, et al. "Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models." Journal of Climate 26, no. 18 (2013): 6801–43. http://dx.doi.org/10.1175/jcli-d-12-00417.1.

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Abstract The authors assess the ability of 18 Earth system models to simulate the land and ocean carbon cycle for the present climate. These models will be used in the next Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) for climate projections, and such evaluation allows identification of the strengths and weaknesses of individual coupled carbon–climate models as well as identification of systematic biases of the models. Results show that models correctly reproduce the main climatic variables controlling the spatial and temporal characteristics of the carbon cyc

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Santer, Benjamin D., Stephen Po-Chedley, Mark D. Zelinka, et al. "Human influence on the seasonal cycle of tropospheric temperature." Science 361, no. 6399 (2018): eaas8806. http://dx.doi.org/10.1126/science.aas8806.

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We provide scientific evidence that a human-caused signal in the seasonal cycle of tropospheric temperature has emerged from the background noise of natural variability. Satellite data and the anthropogenic “fingerprint” predicted by climate models show common large-scale changes in geographical patterns of seasonal cycle amplitude. These common features include increases in amplitude at mid-latitudes in both hemispheres, amplitude decreases at high latitudes in the Southern Hemisphere, and small changes in the tropics. Simple physical mechanisms explain these features. The model fingerprint o

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Lindqvist, H., C. W. O'Dell, S. Basu, et al. "Does GOSAT capture the true seasonal cycle of carbon dioxide?" Atmospheric Chemistry and Physics 15, no. 22 (2015): 13023–40. http://dx.doi.org/10.5194/acp-15-13023-2015.

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Abstract. The seasonal cycle accounts for a dominant mode of total column CO2 (XCO2) annual variability and is connected to CO2 uptake and release; it thus represents an important quantity to test the accuracy of the measurements from space. We quantitatively evaluate the XCO2 seasonal cycle of the Greenhouse Gases Observing Satellite (GOSAT) observations from the Atmospheric CO2 Observations from Space (ACOS) retrieval system and compare average regional seasonal cycle features to those directly measured by the Total Carbon Column Observing Network (TCCON). We analyse the mean seasonal cycle

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Browse, J., K. S. Carslaw, S. R. Arnold, K. Pringle, and O. Boucher. "The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol." Atmospheric Chemistry and Physics 12, no. 15 (2012): 6775–98. http://dx.doi.org/10.5194/acp-12-6775-2012.

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Abstract. The seasonal cycle in Arctic aerosol is typified by high concentrations of large aged anthropogenic particles transported from lower latitudes in the late Arctic winter and early spring followed by a sharp transition to low concentrations of locally sourced smaller particles in the summer. However, multi-model assessments show that many models fail to simulate a realistic cycle. Here, we use a global aerosol microphysics model (GLOMAP) and surface-level aerosol observations to understand how wet scavenging processes control the seasonal variation in Arctic black carbon (BC) and sulph

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31

Achatz, Ulrich, and J. D. Opsteegh. "Primitive-Equation-Based Low-Order Models with Seasonal Cycle. Part I: Model Construction." Journal of the Atmospheric Sciences 60, no. 3 (2003): 465–77. http://dx.doi.org/10.1175/1520-0469(2003)060<0465:peblom>2.0.co;2.

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Lindqvist, H., C. W. O'Dell, S. Basu, et al. "Does GOSAT capture the true seasonal cycle of XCO<sub>2</sub>?" Atmospheric Chemistry and Physics Discussions 15, no. 12 (2015): 16461–503. http://dx.doi.org/10.5194/acpd-15-16461-2015.

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Abstract. The seasonal cycle accounts for a dominant mode of total column CO2 (XCO2) annual variability and is connected to CO2 uptake and release; it thus represents an important variable to accurately measure from space. We quantitatively evaluate the XCO2 seasonal cycle of the Greenhouse Gases Observing Satellite (GOSAT) observations from the Atmospheric CO2 Observations from Space (ACOS) retrieval system, and compare average regional seasonal cycle features to those directly measured by the Total Carbon Column Observing Network (TCCON). We analyze the mean seasonal cycle amplitude, dates o

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Wang, Lei, Yuqing Wang, Axel Lauer, and Shang-Ping Xie. "Simulation of Seasonal Variation of Marine Boundary Layer Clouds over the Eastern Pacific with a Regional Climate Model*." Journal of Climate 24, no. 13 (2011): 3190–210. http://dx.doi.org/10.1175/2010jcli3935.1.

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Abstract The seasonal cycle of marine boundary layer (MBL) clouds over the eastern Pacific Ocean is studied with the International Pacific Research Center (IPRC) Regional Atmospheric Model (iRAM). The results show that the model is capable of simulating not only the overall seasonal cycle but also the spatial distribution, cloud regime transition, and vertical structure of MBL clouds over the eastern Pacific. Although the modeled MBL cloud layer is generally too high in altitude over the open ocean when compared with available satellite observations, the model simulated well the westward deepe

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Davy, Richard. "The Climatology of the Atmospheric Boundary Layer in Contemporary Global Climate Models." Journal of Climate 31, no. 22 (2018): 9151–73. http://dx.doi.org/10.1175/jcli-d-17-0498.1.

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Here, we present the climatology of the planetary boundary layer depth in 18 contemporary general circulation models (GCMs) in simulations of the late-twentieth-century climate that were part of phase 5 of the Coupled Model Intercomparison Project (CMIP5). We used a bulk Richardson methodology to establish the boundary layer depth from the 6-hourly synoptic-snapshot data available in the CMIP5 archives. We present an ensemble analysis of the climatological mean, diurnal cycle, and seasonal cycle of the boundary layer depth in these models and compare it to the climatologies from the ECMWF ERA-

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Lindsay, Keith, Gordon B. Bonan, Scott C. Doney, et al. "Preindustrial-Control and Twentieth-Century Carbon Cycle Experiments with the Earth System Model CESM1(BGC)." Journal of Climate 27, no. 24 (2014): 8981–9005. http://dx.doi.org/10.1175/jcli-d-12-00565.1.

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Abstract Version 1 of the Community Earth System Model, in the configuration where its full carbon cycle is enabled, is introduced and documented. In this configuration, the terrestrial biogeochemical model, which includes carbon–nitrogen dynamics and is present in earlier model versions, is coupled to an ocean biogeochemical model and atmospheric CO2 tracers. The authors provide a description of the model, detail how preindustrial-control and twentieth-century experiments were initialized and forced, and examine the behavior of the carbon cycle in those experiments. They examine how sea- and

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Mathiot, P., H. Goosse, T. Fichefet, B. Barnier, and H. Gallée. "Modelling the seasonal variability of the Antarctic Slope Current." Ocean Science 7, no. 4 (2011): 455–70. http://dx.doi.org/10.5194/os-7-455-2011.

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Abstract. One of the main features of the oceanic circulation along Antarctica is the Antarctic Slope Current (ASC). This circumpolar current flows westwards and contributes to communication between the three major oceanic basins around Antarctica. The ASC is not very well known due to remote location and the presence of sea ice during several months, allowing in situ studies only during summertime. Moreover, only few modelling studies of this current have been carried out. Here, we investigate the sensitivity of this simulated current to four different resolutions in a coupled ocean-sea ice m

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Boersma, K. F., D. J. Jacob, M. Trainic, et al. "Validation of urban NO<sub>2</sub> concentrations and their diurnal and seasonal variations observed from space (SCIAMACHY and OMI sensors) using in situ measurements in Israeli cities." Atmospheric Chemistry and Physics Discussions 9, no. 1 (2009): 4301–33. http://dx.doi.org/10.5194/acpd-9-4301-2009.

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Abstract. We compare a full-year (2006) record of surface air NO2 concentrations measured in Israeli cities to coinciding retrievals of tropospheric NO2 columns from satellite sensors (SCIAMACHY aboard ENVISAT and OMI aboard Aura). This provides a large statistical data set for validation of NO2 satellite measurements in urban air, where validation is difficult yet crucial for using these measurements to infer NOx emissions by inverse modeling. Assuming that NO2 is well-mixed throughout the boundary layer (BL), and using observed average seasonal boundary layer heights, near-surface NO2 concen

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Boersma, K. F., D. J. Jacob, M. Trainic, et al. "Validation of urban NO<sub>2</sub> concentrations and their diurnal and seasonal variations observed from the SCIAMACHY and OMI sensors using in situ surface measurements in Israeli cities." Atmospheric Chemistry and Physics 9, no. 12 (2009): 3867–79. http://dx.doi.org/10.5194/acp-9-3867-2009.

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Abstract. We compare a full-year (2006) record of surface air NO2 concentrations measured in Israeli cities to coinciding retrievals of tropospheric NO2 columns from satellite sensors (SCIAMACHY aboard ENVISAT and OMI aboard Aura). This provides a large statistical data set for validation of NO2 satellite measurements in urban air, where validation is difficult yet crucial for using these measurements to infer NOx emissions by inverse modeling. Assuming that NO2 is well-mixed throughout the boundary layer (BL), and using observed average seasonal boundary layer heights, near-surface NO2 concen

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Messerschmidt, J., N. Parazoo, D. Wunch, et al. "Evaluation of seasonal atmosphere–biosphere exchange estimations with TCCON measurements." Atmospheric Chemistry and Physics 13, no. 10 (2013): 5103–15. http://dx.doi.org/10.5194/acp-13-5103-2013.

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Abstract. We evaluate three estimates of the atmosphere-biosphere exchange against total column CO2 observations from the Total Carbon Column Observing Network (TCCON). Using the GEOS-Chem transport model, we produce forward simulations of atmospheric CO2 concentrations for the 2006–2010 time period using the Carnegie-Ames-Stanford Approach (CASA), the Simple Biosphere (SiB) and the GBiome-BGC models. Large differences in the CO2 simulations result from the choice of the atmosphere-biosphere model. We evaluate the seasonal cycle phase, amplitude and shape of the simulations. The version of CAS

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Cholette, Pierre A. "La désaisonnalisation pour le non-spécialiste." L'Actualité économique 59, no. 1 (2009): 144–52. http://dx.doi.org/10.7202/601049ar.

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Abstract This paper provides simple descriptions and interpretations of the components found in time series: the trend, the cycle, the seasonal, the trading-day and the irregular components. Furthermore, the necessity and the justification ofseasonal adjustment are explained. It is however reminded the seasonally adjusted series should not be used for model building.

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Liu, Zhengyu, Lei Fan, Sang-Ik Shin, and Qinyu Liu. "Assessing Atmospheric Response to Surface Forcing in the Observations. Part II: Cross Validation of Seasonal Response Using GEFA and LIM." Journal of Climate 25, no. 19 (2012): 6817–34. http://dx.doi.org/10.1175/jcli-d-11-00630.1.

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Abstract The authors compared the assessment of the seasonal cycle of the atmospheric response to surface forcing in three statistical methods, generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation–dissipation theorem (FDT). These methods are applied to both a conceptual climate model and the observation. It is found that LIM and GEFA are able to reproduce the major features of the seasonal response consistently, whereas FDT tends to generate a bias of the phase of the seasonal cycle. The success of LIM and GEFA for the assessment of the seasonal resp

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Holmes, Ryan M., Jan D. Zika, and Matthew H. England. "Diathermal Heat Transport in a Global Ocean Model." Journal of Physical Oceanography 49, no. 1 (2019): 141–61. http://dx.doi.org/10.1175/jpo-d-18-0098.1.

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AbstractThe rate at which the ocean moves heat from the tropics toward the poles, and from the surface into the interior, depends on diabatic surface forcing and diffusive mixing. These diabatic processes can be isolated by analyzing heat transport in a temperature coordinate (the diathermal heat transport). This framework is applied to a global ocean sea ice model at two horizontal resolutions (1/4° and 1/10°) to evaluate the partioning of the diathermal heat transport between different mixing processes and their spatial and seasonal structure. The diathermal heat transport peaks around 22°C

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Lynch, Amanda, David McGinnis, William L. Chapman, and Jeffrey S. Tilley. "A multivariate comparison of two land-surface models integrated into an Arctic Regional Climate System model." Annals of Glaciology 25 (1997): 127–31. http://dx.doi.org/10.3189/s0260305500013914.

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Different vegetation models impact the atmospheric response of a regional climate model in different ways, and hence have an impact upon the ability of that model to match an observed climatology. Using a multivariate principal-component analysis, we investigate the relationships between several land-surface models (BATS, LSM) coupled to a regional climate model, and observed climate parameters over the North Slope of Alaska. In this application, annual cycle simulations at 20 km spatial resolution are compared with European Centre for Medium-Range Weather Forecasts (ECMWF) climatology. Initia

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Lynch, Amanda, David McGinnis, William L. Chapman, and Jeffrey S. Tilley. "A multivariate comparison of two land-surface models integrated into an Arctic Regional Climate System model." Annals of Glaciology 25 (1997): 127–31. http://dx.doi.org/10.1017/s0260305500013914.

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Different vegetation models impact the atmospheric response of a regional climate model in different ways, and hence have an impact upon the ability of that model to match an observed climatology. Using a multivariate principal-component analysis, we investigate the relationships between several land-surface models (BATS, LSM) coupled to a regional climate model, and observed climate parameters over the North Slope of Alaska. In this application, annual cycle simulations at 20 km spatial resolution are compared with European Centre for Medium-Range Weather Forecasts (ECMWF) climatology. Initia

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Liu, Liyan, Carlos Lozano, and Dan Iredell. "Time–Space SST Variability in the Atlantic during 2013: Seasonal Cycle." Journal of Atmospheric and Oceanic Technology 32, no. 9 (2015): 1689–705. http://dx.doi.org/10.1175/jtech-d-15-0028.1.

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AbstractA 2-yr-long daily gridded field of sea surface temperature (SST) in the Atlantic centered for the year 2013 is projected onto orthogonal components: its mean, six harmonics of the year cycle, the slow-varying contribution, and the fast-varying contribution. The periodic function defined by the year harmonics, referred to here as the seasonal harmonic, contains most of the year variability in 2013. The seasonal harmonic is examined in its spatial and temporal distribution by describing the amplitude and phase of its maxima and minima, and other associated parameters. In the seasonal har

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Mathiot, P., H. Goosse, T. Fichefet, B. Barnier, and H. Gallée. "Modelling the variability of the Antarctic Slope Current." Ocean Science Discussions 8, no. 1 (2011): 1–38. http://dx.doi.org/10.5194/osd-8-1-2011.

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Abstract. One of the main features of the oceanic circulation along Antarctica is the Antarctic Slope Current (ASC). This circumpolar current flows westward and allows communication between the three major basins around Antarctica. The ASC is not very well known due to difficult access and the presence of sea ice during several months, allowing in situ study only during summertime. Moreover, only few numerical studies of this current have been carried out. Here, we investigate the sensitivity of this current to two different atmospheric forcing sets and to four different resolutions in a coupl

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Joos, Fortunat, Sebastian Lienert та Sönke Zaehle. "No increase is detected and modeled for the seasonal cycle amplitude of δ¹³C of atmospheric carbon dioxide". Biogeosciences 22, № 1 (2025): 19–39. https://doi.org/10.5194/bg-22-19-2025.

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Abstract. Measurements of the seasonal cycle of δ13C of atmospheric CO2 (δ13Ca) provide information on the global carbon cycle and the regulation of carbon and water fluxes by leaf stomatal openings on ecosystem and decadal scales. Land biosphere carbon exchange is the primary driver of δ13Ca seasonality in the Northern Hemisphere (NH). We use isotope-enabled simulations of the Bern3D-LPX (Land surface Processes and eXchanges) Earth system model of intermediate complexity and fossil fuel emission estimates with a model of atmospheric transport to simulate atmospheric δ13Ca at globally distribu

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Nevison, C. D., M. Manizza, R. F. Keeling, et al. "Evaluating the ocean biogeochemical components of earth system models using atmospheric potential oxygen (APO) and ocean color data." Biogeosciences Discussions 11, no. 6 (2014): 8485–529. http://dx.doi.org/10.5194/bgd-11-8485-2014.

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Abstract. The observed seasonal cycles in atmospheric potential oxygen (APO) at a range of mid to high latitude surface monitoring sites are compared to those inferred from the output of 6 Earth System Models participating in the fifth phase of the Coupled Model Intercomparison Project (CMIP5). The simulated air–sea O2 fluxes are translated into APO seasonal cycles using a matrix method that takes into account atmospheric transport model (ATM) uncertainty among 13 different ATMs. Half of the ocean biogeochemistry models tested are able to reproduce the observed APO cycles at most sites, to wit

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R.G. Wilson, Ian. "Lunar Tides and the Long-Term Variation of the Peak Latitude Anomaly of the Summer Sub-Tropical High Pressure Ridge over Eastern Australia." Open Atmospheric Science Journal 6, no. 1 (2012): 49–60. http://dx.doi.org/10.2174/1874282301206010049.

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This study looks for evidence of a correlation between long-term changes in the lunar tidal forces and the interannual to decadal variability of the peak latitude anomaly of the summer (DJF) subtropical high pressure ridge over Eastern Australia (L) between 1860 and 2010. A simple “resonance” model is proposed that assumes that if lunar tides play a role in influencing L, it is most likely one where the tidal forces act in “resonance” with the changes caused by the far more dominant solar-driven seasonal cycles. With this type of model, it is not so much in what years do the lunar tides reach

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Jun, Li, and H. Jay Zwally. "Modeled seasonal variations of firn density induced by steady-state surface air-temperature cycle." Annals of Glaciology 34 (2002): 299–302. http://dx.doi.org/10.3189/172756402781817707.

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AbstractSeasonal variations of firn density in ice-sheet firn layers have been attributed to variations in deposition processes or other processes within the upper firn. A recent high-resolution (mm-scale) density profile, measured along a 181 m core from Antarctica, showed small-scale density variations with a clear seasonal cycle that apparently was not related to seasonal variations in deposition or known near-surface processes (Gerland and others, 1999). A recent model of surface elevation changes (Zwally and Li, in press) produced a seasonal variation in firn densification, and explained

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