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Dive into the research topics where Max J. Suarez is active.

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Featured researches published by Max J. Suarez.


Journal of Climate | 2011

MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications

Michele M. Rienecker; Max J. Suarez; Ronald Gelaro; Ricardo Todling; Julio T. Bacmeister; Emily Liu; Michael G. Bosilovich; Siegfried D. Schubert; Lawrence L. Takacs; Gi-Kong Kim; Stephen Bloom; Junye Chen; Douglas W. Collins; Austin Conaty; Arlindo da Silva; Wei Gu; Joanna Joiner; Randal D. Koster; Robert Lucchesi; Andrea Molod; Tommy Owens; Steven Pawson; Philip J. Pegion; Christopher R. Redder; Rolf H. Reichle; Franklin R. Robertson; Albert G. Ruddick; Meta Sienkiewicz; John S. Woollen

AbstractThe Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA’s Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA’s Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses. Focusing on the satellite era, from 1979 to the present, MERRA has achieved its goals with significant improvements in precipitation and water vapor climatology. Here, a brief overview of the system and some aspects of its performance, including quality assessment diagnostics from innovation and residual statistics, is given.By comparing MERRA with other updated reanalyses [the interim version of the next ECMWF Re-Analysis (ERA-Interim) and the Climate Forecast System Reanalysis (CFSR)], advances made in this new generation of reanalyses, as well as remaining deficiencies, are identified. Although there is little difference between the new reanalyses i...


Monthly Weather Review | 1992

Relaxed Arakawa-Schubert. A Parameterization of Moist Convection for General Circulation Models

Shrinivas Moorthi; Max J. Suarez

Abstract A simple implementation of the Arakawa and Schubert (1974) cumulus parameterization is presented. The major simplification made is to “relax”the state toward equilibrium each time the parameterization is invoked, rather than requiring that the final state be balanced, as in the original Arakawa-Schubert implementation. This relaxed Arakawa-Schubert (RAS) scheme is evaluated in off-line tests using the Global Atmospheric Research Programme (GARP) Atlantic Tropical Experiment (GATE) Phase III data. The results show that RAS is equivalent to the standard implementation of Arakawa-Schubert but is more economical and simpler to code. RAS also avoids the ill-posed problem that occurs in Arakawa-Schubert as a result of having to solve for a balanced state.


Journal of the Atmospheric Sciences | 1988

A Delayed Action Oscillator for ENSO

Max J. Suarez; Paul S. Schopf

Abstract A simple nonlinear model is proposed for the El Nino/Southern Oscillation (ENSO) phenomenon. Its key feature is the inclusion of oceanic wave transit effects through a negative, delayed feedback. A linear stability analysis and numerical results are presented to show that the period of the oscillation is typically several times the delay. It is argued such an effect can account for the long time scale of ENSO.


Bulletin of the American Meteorological Society | 1994

A proposal for the intercomparison of the dynamical cores of atmospheric general circulation models

Isaac M. Held; Max J. Suarez

Abstract A benchmark calculation is proposed for evaluating the dynamical cores of atmospheric general circulation models independently of the physical parameterizations. The test focuses on the long-term statistical properties of a fully developed general circulation; thus, it is particularly appropriate for intercomparing the dynamics used in climate models. To illustrate the use of this benchmark, two very different atmospheric dynamical cores—one spectral, one finite difference—are compared. It is found that the long-term statistics produced by the two models are very similar. Selected results from these calculations are presented to initiate the intercomparison.


Journal of Geophysical Research | 2000

A catchment-based approach to modeling land surface processes in a general circulation model: 1. Model structure

Randal D. Koster; Max J. Suarez; Agnès Ducharne; Marc Stieglitz; Praveen Kumar

A new strategy for modeling the land surface component of the climate system is described. The strategy is motivated by an arguable deficiency in most state-of-the-art land surface models, namely, the disproportionately higher emphasis given to the formulation of one-dimensional, vertical physics relative to the treatment of horizontal heterogeneity in surface properties, particularly subgrid soil moisture variability and its effects on runoff generation. The new strategy calls for the partitioning of the continental surface into a mosaic of hydrologic catchments, delineated through analysis of high-resolution surface elevation data. The effective “grid” used for the land surface is therefore not specified by the overlying atmospheric grid. Within each catchment, the variability of soil moisture is related to characteristics of the topography and to three bulk soil moisture variables through a well-established model of catchment processes. This modeled variability allows the partitioning of the catchment into several areas representing distinct hydrological regimes, wherein distinct (regime specific) evaporation and runoff parameterizations are applied. Care is taken to ensure that the deficiencies of the catchment model in regions of little to moderate topography are minimized.


Journal of the Atmospheric Sciences | 1988

Vacillations in a Coupled Ocean–Atmosphere Model

Paul S. Schopf; Max J. Suarez

Abstract Results are presented from a 35-year integration of a coupled ocean-atmosphere model. Both ocean and atmosphere are two-level, nonlinear primitive equations models. The global atmospheric model is forced by a steady, zonally symmetric Newtonian heating. The ocean model is solved in a rectangular tropical basin. Heat fluxes between ocean and atmosphere are linear in air-sea temperature differences, and the interfacial stress is proportional to lower-level atmospheric winds. The coupled models produce ENSO-like variability on time scales of 3 to 5 years. Since there is no external time-dependent forcing, these are self-sustained vacillations of the nonlinear system. It is argued that the energetics of the vacillations is that of unstable coupled modes and that the time scale is crucially dependent on the effects of ocean waves propagating in a closed basin.


Journal of Geophysical Research | 1992

Modeling the land surface boundary in climate models as a composite of independent vegetation stands

Randal D. Koster; Max J. Suarez

An efficient strategy for modeling the land surface boundary in general circulation models (GCMs) is presented which accounts for the effects of vegetation on surface energy fluxes and allows for an arbitrary number of vegetation types to coexist in a grid square. The GCM grid square is depicted as a “mosaic” of vegetation “tiles,” with each tile consisting of a single vegetation type. The energy balance equation for each tile follows closely that of a single vegetation version of the simple biosphere (SiB) model of Sellers et al. (1986) but is simplified enough to be written in Penman-Monteith form. Each tile in the square is coupled independently to the GCM atmosphere, and tiles affect each other only through the atmosphere. This coupling strategy differs conceptually from that of models such as SiB that assume a homogeneous mixture of vegetation types within a GCM grid square. A quantitative comparison of the two strategies is presented.


Monthly Weather Review | 1995

The Seasonal Cycle over the Tropical Pacific in Coupled Ocean–Atmosphere General Circulation Models

Carlos R. Mechoso; A.W. Robertson; N. Barth; Michael K. Davey; Pascale Delecluse; Peter R. Gent; S. Ineson; Ben P. Kirtman; Mojib Latif; H. Le Treut; T. Nagai; J. D. Neelin; S.G.H. Philander; J. Polcher; Paul S. Schopf; T. Stockdale; Max J. Suarez; Laurent Terray; Olivier Thual; Joseph Tribbia

Abstract The seasonal cycle over the tropical Pacific simulated by 11 coupled ocean–atmosphere general circulation models (GCMs) is examined. Each model consists of a high-resolution ocean GCM of either the tropical Pacific or near-global means coupled to a moderate- or high-resolution atmospheric GCM, without the use of flux correction. The seasonal behavior of sea surface temperature (SST) and eastern Pacific rainfall is presented for each model. The results show that current state-of-the-art coupled GCMs share important successes and troublesome systematic errors. All 11 models are able to simulate the mean zonal gradient in SST at the equator over the central Pacific. The simulated equatorial cold tongue generally tends to be too strong, too narrow, and extend too far west. SSTs are generally too warm in a broad region west of Peru and in a band near 10°S. This is accompanied in some models by a double intertropical convergence zone (ITCZ) straddling the equator over the eastern Pacific, and in others...


Science | 2004

On the Cause of the 1930s Dust Bowl

Siegfried D. Schubert; Max J. Suarez; Philip J. Pegion; Randal D. Koster; Julio T. Bacmeister

During the 1930s, the United States experienced one of the most devastating droughts of the past century. The drought affected almost two-thirds of the country and parts of Mexico and Canada and was infamous for the numerous dust storms that occurred in the southern Great Plains. In this study, we present model results that indicate that the drought was caused by anomalous tropical sea surface temperatures during that decade and that interactions between the atmosphere and the land surface increased its severity. We also contrast the 1930s drought with other North American droughts of the 20th century.


Journal of Hydrometeorology | 2000

Variance and Predictability of Precipitation at Seasonal-to-Interannual Timescales

Randal D. Koster; Max J. Suarez; Mark Heiser

Abstract A series of atmospheric general circulation model simulations, spanning a total of several thousand years, is used to assess the impact of land surface and ocean boundary conditions on the seasonal-to-interannual variability and predictability of precipitation in a coupled modeling system. In the first half of the analysis, which focuses on precipitation variance, the contributions of ocean, atmosphere, and land processes to this variance are characterized, to first order, with a simple linear model. The resulting clean separation of the contributions leads to two results: 1) land and ocean processes have essentially different domains of influence, that is, the amplification of precipitation variance by land–atmosphere feedback is most important outside of the regions (mainly in the Tropics) that are most affected by sea surface temperatures; and 2) the strength of land–atmosphere feedback in a given region is controlled largely by the relative availability of energy and water there. In the secon...

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Randal D. Koster

Goddard Space Flight Center

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Lawrence L. Takacs

Goddard Space Flight Center

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Andrea Molod

Goddard Space Flight Center

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Myong-In Lee

Ulsan National Institute of Science and Technology

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Philip J. Pegion

Goddard Space Flight Center

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Isaac M. Held

Geophysical Fluid Dynamics Laboratory

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Hailan Wang

University of Maryland

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