Lorenz energy cycle of the global atmosphere based on reanalysis datasets

Li, Liming; Ingersoll, Andrew P.; Jiang, Xun; Feldman, D.; Yung, Yuk L.

doi:10.1029/2007gl029985

Cited by 73 publications

(124 citation statements)

References 15 publications

Supporting

Mentioning

104

Contrasting

Order By: Relevance

“…9, the maxima of the conversion rate, C(P E , K E ), which are computed with the 'vÁgrad z' formulation, are observed near the surface around the South Pole. They are related to heat-driven rising and sinking motions over Antarctica (Li et al 2007). In the South Pole, the maximum C(P E , K E ) from the MERRA dataset is larger than that from NCEP R2 in the lower-level atmosphere.…”

Section: Resultsmentioning

confidence: 99%

“…Because formulations of the energy cycle involve climate statistics, which are the deviations of time, zonal means, and variance and covariance of basic variables, it is very useful to either diagnose climate models (Sheng and Hayashi 1990;Boer and Lambert 2008;Hernández-Deckers and von Storch 2010;Marques et al 2011) or analyze the characteristics of various reanalysis datasets (Ulbrich and Speth 1991;Hu et al 2004;Li et al 2007;Marques et al 2009;Marques et al 2010). Recently, various reanalysis datasets such as the NCEP R2, ERA-40 from the European Center for Medium-range Weather Forecasts (ECMWF), and JRA-25 from the Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI), have been released to satisfy the demand for atmosphere datasets; many researchers have since used such reanalysis datasets to investigate the atmosphere energy cycle.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, various reanalysis datasets such as the NCEP R2, ERA-40 from the European Center for Medium-range Weather Forecasts (ECMWF), and JRA-25 from the Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI), have been released to satisfy the demand for atmosphere datasets; many researchers have since used such reanalysis datasets to investigate the atmosphere energy cycle. Li et al (2007) and Marques et al (2009) examined the global atmospheric energy cycle based on monthly evaluations using two reanalysis datasets (NCEP R2 and ERA-40) covering the 23 years from 1979 to 2001. Li et al (2007) determined that the conversion rate C(P M , K M ) had changed in that its sign differed from that reported in a previous study (Oort 1983), which suggests that near-surface processes play an important role in the magnitude and sign of C(P M , K M ).…”

Section: Introductionmentioning

confidence: 99%

“…Li et al (2007) and Marques et al (2009) examined the global atmospheric energy cycle based on monthly evaluations using two reanalysis datasets (NCEP R2 and ERA-40) covering the 23 years from 1979 to 2001. Li et al (2007) determined that the conversion rate C(P M , K M ) had changed in that its sign differed from that reported in a previous study (Oort 1983), which suggests that near-surface processes play an important role in the magnitude and sign of C(P M , K M ). Marques et al (2010) compared three reanalysis datasets (NCEP R2, ERA-40, and JRA-25) using global energy analysis for all seasons.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Examination of the global lorenz energy cycle using MERRA and NCEP-reanalysis 2

Kim

2012

Clim Dyn

View full text Add to dashboard Cite

In this study, the global Lorenz atmospheric energy cycle is evaluated using the Modern Era Retrospective analysis for Research and Applications (MERRA) and the National Center for Environmental Prediction and the Department of Energy (NCEP R2) reanalysis datasets over a 30-year period (1979-2008) for the annual, JJA, and DJF means. The energy cycle calculated from the two reanalysis datasets is largely consistent, but the energy cycle determined using the MERRA dataset is more active than that determined from the NCEP R2 dataset. For instance, with regard to the annual mean, the general discrepancy between the energy components in the global integral is about 5 %, whereas the discrepancy between the conversion components is about 16 %, with the exception of C(P M , K M ), which has a different sign in the global integrals. The latitude-altitude cross-section indicates that the difference in the energy cycle of the two reanalysis datasets is larger in the southern hemisphere than in the northern hemisphere. The conversion rates of mean available potential energy to mean kinetic energy [C(P M , K M )] and eddy available potential energy to eddy kinetic energy [C(P E , K E )] are also calculated using two formulations (socalled 'vÁgrad z' and 'xÁa') for the two reanalysis datasets. The differences in the conversion rate between the two reanalysis datasets for the global integral are not appreciable for the two formulations.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Examination of the global lorenz energy cycle using MERRA and NCEP-reanalysis 2

Kim

2012

Clim Dyn

View full text Add to dashboard Cite

show abstract

“…This process indicates a negative correlation between zonal averages of w and T and hence a positive CZ. That is, zonal available potential energy (AZ) is converted into zonal kinetic energy (KZ) in the thermally direct Hadley cell (Li et al, 2007;Deckers and von Storch, 2011). CE (Eq.…”

Section: Lorenz's Equationsmentioning

confidence: 99%

An Analysis of the Energetics of Tropical and Extra-Tropical Regions for Warm ENSO Composite Episodes

Sátyro

Veiga

2017

Rev. bras. meteorol.

View full text Add to dashboard Cite

This study focuses on the quantification and evaluation of the effects of ENSO (El Niño Southern Oscillation) warm phases, using a composite of five intense El Niño episodes between 1979 -2011 on the Energetic Lorenz Cycle for four distinct regions around the globe: 80°S -5°N (region 1), 50°S -5°N (region 2), 30°S -5°N (region 3), and 30°S -30°N(region 4), using Data from NCEP reanalysis-II. Briefly, the results showed that zonal terms of potential energy and kinetic energy were intensified, except for region 1, where zonal kinetic energy weakened. Through the analysis of the period in which higher energy production is observed, a strong communication between the available zonal potential and the zonal kinetic energy reservoirs can be identified. This communication weakened the modes linked to eddies of potential energy and kinetic energy, as well as in the other two baroclinic conversions terms. Furthermore, the results indicate that for all the regions, the system itself works to regain its stable condition. Keywords: atmospheric energetics, Lorenz Cycle, ENSO, El Niño. Uma Análise da Energética de Regiões Tropicais e Extra-Tropicais para um Composto de Episódios Quentes de ENOS ResumoEste estudo foca na quantificação e avaliação dos efeitos da fase quente de eventos ENOS (El Niño -Oscilação Sul), utilizando um composto de cinco intensos episódios de El Niño entre 1979 -2011, no Ciclo Energético Lorenz por quatro regiões distintas ao redor do globo: 80°S -5°N (domínio 1), 50°S -5°N (domínio 2), 30°S -5°N (domínio 3), e 30°S -30°N (domínio 4), utilizando os Dados do NCEP -Reanálise 2. Resumidamente, os resultados mostraram que termos zonais de energia potencial e energia cinética foram intensificadas, com exceção da região 1, onde a energia cinética zonal enfraqueceu. Através da análise do período em que é observada maior produção de energia, observa-se uma forte comunicação entre os reservatórios de energia potencial disponível zonal e energia cinética zonal. Esta comunicação enfraqueceu o modo associado à perturbação de energia potencial e cinética, bem como nos outros dois termos conversões baroclínicas. Além disso, os resultados indicam que, para todas as regiões, o sistema funciona para recuperar o seu estado estável. Palavras-chave: energética atmosférica, Ciclo de Lorenz, ENSO, El Niño.

show abstract

Mathematical and physical ideas for climate science

et al. 2014

View full text Add to dashboard Cite

The climate is a forced and dissipative nonlinear system featuring nontrivial dynamics on a vast range of spatial and temporal scales. The understanding of the climate's structural and multiscale properties is crucial for the provision of a unifying picture of its dynamics and for the implementation of accurate and efficient numerical models. We present some recent developments at the intersection between climate science, mathematics, and physics, which may prove fruitful in the direction of constructing a more comprehensive account of climate dynamics. We describe the Nambu formulation of fluid dynamics and the potential of such a theory for constructing sophisticated numerical models of geophysical fluids. Then, we focus on the statistical mechanics of quasi-equilibrium flows in a rotating environment, which seems crucial for constructing a robust theory of geophysical turbulence. We then discuss ideas and methods suited for approaching directly the nonequilibrium nature of the climate system. First, we describe some recent findings on the thermodynamics of climate, characterize its energy and entropy budgets, and discuss related methods for intercomparing climate models and for studying tipping points. These ideas can also create a common ground between geophysics and astrophysics by suggesting general tools for studying exoplanetary atmospheres. We conclude by focusing on nonequilibrium statistical mechanics, which allows for a unified framing of problems as different as the climate response to forcings, the effect of altering the boundary conditions or the coupling between geophysical flows, and the derivation of parametrizations for numerical models.

show abstract

Lorenz energy cycle of the global atmosphere based on reanalysis datasets

Cited by 73 publications

References 15 publications

Examination of the global lorenz energy cycle using MERRA and NCEP-reanalysis 2

Examination of the global lorenz energy cycle using MERRA and NCEP-reanalysis 2

An Analysis of the Energetics of Tropical and Extra-Tropical Regions for Warm ENSO Composite Episodes

Mathematical and physical ideas for climate science

Contact Info

Product

Resources

About