Academic literature on the topic 'Moist static energy'

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Journal articles on the topic "Moist static energy"

1

Sobel, Adam, Shuguang Wang, and Daehyun Kim. "Moist Static Energy Budget of the MJO during DYNAMO." Journal of the Atmospheric Sciences 71, no. 11 (2014): 4276–91. http://dx.doi.org/10.1175/jas-d-14-0052.1.

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Abstract The authors analyze the column-integrated moist static energy budget over the region of the tropical Indian Ocean covered by the sounding array during the Cooperative Indian Ocean Experiment on Intraseasonal Variability in the Year 2011 (CINDY2011)/Dynamics of the Madden–Julian Oscillation (DYNAMO) field experiment in late 2011. The analysis is performed using data from the sounding array complemented by additional observational datasets for surface turbulent fluxes and atmospheric radiative heating. The entire analysis is repeated using the ECMWF Interim Re-Analysis (ERA-Interim). Th
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2

Adames, Ángel F., Rosa M. Vargas Martes, Haochang Luo, and Richard B. Rood. "Moist Static Potential Vorticity Budget in Tropical Motion Systems." Journal of the Atmospheric Sciences 79, no. 3 (2022): 763–79. http://dx.doi.org/10.1175/jas-d-21-0161.1.

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Abstract Analyses of simple models of moist tropical motion systems reveal that the column-mean moist static potential vorticity (MSPV) can explain their propagation and growth. The MSPV is akin to the equivalent PV except it uses moist static energy (MSE) instead of the equivalent potential temperature. Examination of an MSPV budget that is scaled for moist off-equatorial synoptic-scale systems reveals that α, the ratio between the vertical gradients of latent and dry static energies, describes the relative contribution of dry and moist advective processes to the evolution of MSPV. Horizontal
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3

Yu, Lijun, Shuhui Wu, and Zhanhong Ma. "Evaluation of Moist Static Energy in a Simulated Tropical Cyclone." Atmosphere 10, no. 6 (2019): 319. http://dx.doi.org/10.3390/atmos10060319.

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The characteristics of moist static energy (MSE) and its budget in a simulated tropical cyclone (TC) are examined in this study. Results demonstrate that MSE in a TC system is enhanced as the storm strengthens, primarily because of two mechanisms: upward transfer of surface heat fluxes and subsequent warming of the upper troposphere. An inspection of the interchangeable approximation between MSE and equivalent potential temperature (θe) suggests that although MSE is capable of capturing overall structures of θe, some important features will still be distorted, specifically the low-MSE pool out
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4

Neelin, J. David, and Isaac M. Held. "Modeling Tropical Convergence Based on the Moist Static Energy Budget." Monthly Weather Review 115, no. 1 (1987): 3–12. http://dx.doi.org/10.1175/1520-0493(1987)115<0003:mtcbot>2.0.co;2.

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5

Overland, James E., Philip Turet, and Abraham H. Oort. "Regional Variations of Moist Static Energy Flux into the Arctic." Journal of Climate 9, no. 1 (1996): 54–65. http://dx.doi.org/10.1175/1520-0442(1996)009<0054:rvomse>2.0.co;2.

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6

Skific, Natasa, and Jennifer A. Francis. "Drivers of projected change in arctic moist static energy transport." Journal of Geophysical Research: Atmospheres 118, no. 7 (2013): 2748–61. http://dx.doi.org/10.1002/jgrd.50292.

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7

Frierson, Dargan M. W., Isaac M. Held, and Pablo Zurita-Gotor. "A Gray-Radiation Aquaplanet Moist GCM. Part II: Energy Transports in Altered Climates." Journal of the Atmospheric Sciences 64, no. 5 (2007): 1680–93. http://dx.doi.org/10.1175/jas3913.1.

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Abstract A simplified moist general circulation model is used to study changes in the meridional transport of moist static energy by the atmosphere as the water vapor content is increased. The key assumptions of the model are gray radiation, with water vapor and other constituents having no effect on radiative transfer, and mixed layer aquaplanet boundary conditions, implying that the atmospheric meridional energy transport balances the net radiation at the top of the atmosphere. These simplifications allow the authors to isolate the effect of moisture on energy transports by baroclinic eddies
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8

Shaw, Tiffany A., Pragallva Barpanda, and Aaron Donohoe. "A Moist Static Energy Framework for Zonal-Mean Storm-Track Intensity." Journal of the Atmospheric Sciences 75, no. 6 (2018): 1979–94. http://dx.doi.org/10.1175/jas-d-17-0183.1.

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Abstract A moist static energy (MSE) framework for zonal-mean storm-track intensity, defined as the extremum of zonal-mean transient eddy MSE flux, is derived and applied across a range of time scales. According to the framework, storm-track intensity can be decomposed into contributions from net energy input [sum of shortwave absorption and surface heat fluxes into the atmosphere minus outgoing longwave radiation (OLR) and atmospheric storage] integrated poleward of the storm-track position and MSE flux by the mean meridional circulation or stationary eddies at the storm-track position. The f
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9

Yasunaga, Kazuaki, Satoru Yokoi, Kuniaki Inoue, and Brian E. Mapes. "Space–Time Spectral Analysis of the Moist Static Energy Budget Equation." Journal of Climate 32, no. 2 (2018): 501–29. http://dx.doi.org/10.1175/jcli-d-18-0334.1.

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Abstract The budget of column-integrated moist static energy (MSE) is examined in wavenumber–frequency transforms of longitude–time sections over the tropical belt. Cross-spectra with satellite-derived precipitation (TRMM-3B42) are used to emphasize precipitation-coherent signals in reanalysis [ERA-Interim (ERAI)] estimates of each term in the budget equation. Results reveal different budget balances in convectively coupled equatorial waves (CCEWs) as well as in the Madden–Julian oscillation (MJO) and tropical depression (TD)-type disturbances. The real component (expressing amplification or d
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10

Hannah, Walter M., and Eric D. Maloney. "The moist static energy budget in NCAR CAM5 hindcasts during DYNAMO." Journal of Advances in Modeling Earth Systems 6, no. 2 (2014): 420–40. http://dx.doi.org/10.1002/2013ms000272.

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