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Journal of Advances in Modeling Earth Systems

Cover image for Vol. 6 Issue 2

Impact Factor: 5.149

ISI Journal Citation Reports © Ranking: 2013: 4/76 (Meteorology & Atmospheric Sciences)

Online ISSN: 1942-2466

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  • Physical Mechanisms Controlling Self-aggregation of Convection in Idealized Numerical Modeling Simulations

    Physical Mechanisms Controlling Self-aggregation of Convection in Idealized Numerical Modeling Simulations

    Snapshot of outgoing longwave radiation (OLR) at (a) day 10 and (b) day 80 of a radiative-convective equilibrium simulation at 305 K.

  • Schematic Regime Diagram for Equilibrium States Showing Large-scale WTG Vertical Velocity as a Function of SST

    Schematic Regime Diagram for Equilibrium States Showing Large-scale WTG Vertical Velocity as a Function of SST

    Schematic regime diagram for equilibrium states, showing the large-scale WTG vertical velocity as a function of SST. Below the critical SST, the RCE state is stable to small amplitude perturbations, but sufficiently large perturbations may transition the state to an upper stable equilibrium with ascent, or a lower stable equilibrium with descent. Above the critical SST, the RCE state is linearly unstable and such transitions are spontaneous. Question marks denote unexplored regions; in particular, it is not known whether there are minimum SST bounds on the existence of the upper and lower stable equilibria.

  • Ensemble Prediction of Hurricane Sandy (2012)

    Ensemble Prediction of Hurricane Sandy (2012)

    Evolution of (a) the tracks (composite means in (b)), (c) the minimum SLP (hPa) (composite means in (d)), and (e) the maximum 10 m wind speeds (kt) (composite means in (f)) of the best track of Hurricane Sandy (black line with position marked every 6 h in Figure a) and the 60 ensemble members of the PSU WRF-EnKF forecast initialized at 0000 UTC 26 October 2012 grouped by track performance; GOOD—the 10 members with the smallest cumulative track RMSE between the member and the best track (blue), FAIR—the 10 members whose cumulative track RMSE fall between that of GOOD and POOR (magenta), and POOR—the 10 members that do not landfall (red). A portion of the outermost domain in the WRF simulation is plotted in Figures a and b with sea surface temperature contours every 1°C. Numbers in Figure b indicate mean positions of each composite group at indicated forecast hour.

  • Max-Planck-Institute Earth System Model

    Max-Planck-Institute Earth System Model

    Schematic view of MPI-ESM: Colored boxes show the model components: ECHAM6 is the atmospheric general circulation model, which is directly coupled to the JSBACH land model that describes physical and biogeochemical aspects of soil and vegetation. MPIOM is the ocean general circulation model, which includes the HAMOCC model for the marine biogeochemistry. OASIS is the coupler program, which aggregates, interpolates, and exchanges fluxes and state variables once a day between ECHAM6+JSBACH and MPIOM+HAMOCC. The coupler exchanges fluxes for water, energy, momentum, and CO2.

  • Early Results from the CGILS Project

    Early Results from the CGILS Project

    Schematics of cloud feedbacks. Changes of clouds from the (left) control to (right) warmer climates. Blue arrows denote the term of turbulence parameterization in the moisture budget equation; red arrows denote shallow convection. The sizes of arrows schematically correspond to the magnitude of moisture tendency from the associated processes. (a) Negative cloud feedback, dominated by the increase of surface turbulence, the “NESTS” negative cloud feedback mechanism (see text). (b) Positive cloud feedback, dominated by the increase of shallow convection or cloud-top entrainment, the “SCOPE” positive cloud feedback mechanism (see text). (c) Cloud feedback from shallow cumulus of sufficient depth, with sign depending on the cloud depth and lateral mixing.

  • Rotating Radiative-convective Equilibrium Simulated by a Cloud-resolving Model

    Rotating Radiative-convective Equilibrium Simulated by a Cloud-resolving Model

    Tropical cyclones for two different values of the Coriolis parameter in otherwise identical RCE simulations (precipitable water is shown; warm colors represent higher values). The black circles on the foreground have diameters computed from formula (1).

  • Physical Mechanisms Controlling Self-aggregation of Convection in Idealized Numerical Modeling Simulations
  • Schematic Regime Diagram for Equilibrium States Showing Large-scale WTG Vertical Velocity as a Function of SST
  • Ensemble Prediction of Hurricane Sandy (2012)
  • Max-Planck-Institute Earth System Model
  • Early Results from the CGILS Project
  • Rotating Radiative-convective Equilibrium Simulated by a Cloud-resolving Model

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Announcements

JAMES Special Issue about the MPI-ESM, its components and the CMIP5 simulations.

JAMES Special Issue MPI ESM

Read the study today!

Call for Papers

Call for Papers for "The 2011-12 Indian Ocean Field Campaign: Atmospheric-Oceanic Processes and MJO Initiation"

Submission acceptance begins 15 February 2013
Submission deadline through 31 August 2013

Guest Editor: Chidong Zhang, University of Miami

An international field campaign with participation from 16 countries took place over the central equatorial Indian Ocean during October 1, 2011 – March 31, 2012. The objective of the field campaign was to collect observations to advance our understanding of the physical processes related to initiation of the Madden-Julian oscillation (MJO) and to expedite our ability of simulating and forecasting the MJO. The proposed special collection should include all articles published in JGR-Atmospheres, JGR-Oceans and Journal of Advances in Modeling Earth Systems that discuss observations from this field campaign and model simulations either using the field data or targeting phenomena observed during the field campaign.

Manuscripts are to be submitted through AGU's Geophysical Electronic Manuscript Submissions System (GEMS) website for Journal of Advances in Modeling Earth Systems. For additional information, please contact james@agu.org.

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