Lorenz energy cycle of the global atmosphere based on reanalysis datasets

被引:53
|
作者
Li, Liming [1 ]
Ingersoll, Andrew P. [1 ]
Jiang, Xun [1 ]
Feldman, Daniel [1 ]
Yung, Yuk L. [1 ]
机构
[1] CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA
关键词
D O I
10.1029/2007GL029985
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The mean state of the global atmospheric energy cycle is re-examined using the two reanalysis datasets - NCEP2 and ERA40 (1979-2001). The general consistency between the two datasets suggests that the present estimates of the energy cycle are probably the most reliable ones. The comparison between the present and a previous study shows noticeable discrepancies in some of the energy components and conversion rates. The current estimate of the transformations from mean potential energy to mean kinetic energy C(P-M, K-M) further suggests that the near-surface processes play an important role in the conversion rate C(P-M, K-M), along with the Ferrel cell and Hadley cells, which probably change the direction of the conversion rate C(P-M, K-M).
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Uncertainty of Atmospheric Winds in Three Widely Used Global Reanalysis Datasets
    Wu, Longtao
    Su, Hui
    Zeng, Xubin
    Posselt, Derek j.
    Wong, Sun
    Chen, Shuyi
    Stoffelene, Ad
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2024, 63 (02) : 165 - 180
  • [22] Lorenz Atmospheric Energy Cycle in Climatic Projections
    Michaelides, Silas
    CLIMATE, 2021, 9 (12)
  • [23] Ensemble-Based Atmospheric Reanalysis Using a Global Coupled Atmosphere-Ocean GCM
    Komori, Nobumasa
    Enomoto, Takeshi
    Miyoshi, Takemasa
    Yamazaki, Akira
    Kuwano-Yoshida, Akira
    Taguchi, Bunmei
    MONTHLY WEATHER REVIEW, 2018, 146 (10) : 3311 - 3323
  • [24] Evaluating global reanalysis datasets for provision of boundary conditions in regional climate modelling
    Ditiro B. Moalafhi
    Jason P. Evans
    Ashish Sharma
    Climate Dynamics, 2016, 47 : 2727 - 2745
  • [25] Evaluating global reanalysis datasets for provision of boundary conditions in regional climate modelling
    Moalafhi, Ditiro B.
    Evans, Jason P.
    Sharma, Ashish
    CLIMATE DYNAMICS, 2016, 47 (9-10) : 2727 - 2745
  • [26] Estimation of global ocean surface winds blending reanalysis, satellite and buoy datasets
    Escobar, Carlos A.
    Alvarez, David Restrepo
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2023, 32
  • [27] Calibration of a Distributed Hydrological Model (VIC-3L) Based on Global Water Resources Reanalysis Datasets
    Sakine Koohi
    Asghar Azizian
    Luca Brocca
    Water Resources Management, 2022, 36 : 1287 - 1306
  • [28] Calibration of a Distributed Hydrological Model (VIC-3L) Based on Global Water Resources Reanalysis Datasets
    Koohi, Sakine
    Azizian, Asghar
    Brocca, Luca
    WATER RESOURCES MANAGEMENT, 2022, 36 (04) : 1287 - 1306
  • [29] Estimating Subseasonal Variability and Trends in Global Atmosphere Using Reanalysis Data
    Zagar, N.
    Jelic, D.
    Alexander, M. J.
    Manzini, E.
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (23) : 12999 - 13007
  • [30] The Lorenz energy cycle in simulated rotating annulus flows
    Young, R. M. B.
    PHYSICS OF FLUIDS, 2014, 26 (05)