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Dive into the research topics where Gary L. Russell is active.

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Featured researches published by Gary L. Russell.


Monthly Weather Review | 1983

Efficient Three-Dimensional Global Models for Climate Studies: Models I and II

James E. Hansen; Gary L. Russell; David Rind; Peter H. Stone; A. Lacis; S. Lebedeff; Reto Ruedy; Larry D. Travis

Abstract A global atmospheric model is developed with a computational efficiency which allows long-range climate experiments. The model solves the simultaneous equations for conservation of mass, energy and momentum, and the equation of state on a grid. Differencing schemes for the dynamics are based on work of Arakawa; the schemes do not need any viscosity for numerical stability, and can thus yield good results with coarse resolution. Radiation is computed with a semi-implicit spectral integration, including all significant atmospheric gases, aerosols and cloud particles. Cloud cover and vertical distribution are computed. Convection mixes moisture, heat and momentum, with buoyant air allowed to penetrate to a height determined by its buoyancy. Ground temperature calculations include diurnal variation and seasonal heat storage. Ground hydrology incorporates a water-holding capacity appropriate for the root zone of local vegetation. Snow depth is computed. Snow albedo includes effects of snow age and mas...


Journal of Climate | 2006

Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data

Gavin A. Schmidt; Reto Ruedy; James E. Hansen; Igor Aleinov; N. Bell; Mike Bauer; Susanne Bauer; Brian Cairns; V. M. Canuto; Y. Cheng; Anthony D. Del Genio; Greg Faluvegi; Andrew D. Friend; Timothy M. Hall; Yongyun Hu; Max Kelley; Nancy Y. Kiang; D. Koch; A. Lacis; Jean Lerner; Ken K. Lo; Ron L. Miller; Larissa Nazarenko; Valdar Oinas; Jan Perlwitz; Judith Perlwitz; David Rind; Anastasia Romanou; Gary L. Russell; Makiko Sato

Abstract A full description of the ModelE version of the Goddard Institute for Space Studies (GISS) atmospheric general circulation model (GCM) and results are presented for present-day climate simulations (ca. 1979). This version is a complete rewrite of previous models incorporating numerous improvements in basic physics, the stratospheric circulation, and forcing fields. Notable changes include the following: the model top is now above the stratopause, the number of vertical layers has increased, a new cloud microphysical scheme is used, vegetation biophysics now incorporates a sensitivity to humidity, atmospheric turbulence is calculated over the whole column, and new land snow and lake schemes are introduced. The performance of the model using three configurations with different horizontal and vertical resolutions is compared to quality-controlled in situ data, remotely sensed and reanalysis products. Overall, significant improvements over previous models are seen, particularly in upper-atmosphere te...


Science | 1981

Climate Impact of Increasing Atmospheric Carbon Dioxide

James E. Hansen; D. Johnson; A. Lacis; S. Lebedeff; P. Lee; David Rind; Gary L. Russell

The global temperature rose by 0.2�C between the middle 1960s and 1980, yielding a warming of 0.4�C in the past century. This temperature increase is consistent with the calculated greenhouse effect due to measured increases of atmospheric carbon dioxide. Variations of volcanic aerosols and possibly solar luminosity appear to be primary causes of observed fluctuations about the mean trend of increasing temperature. It is shown that the anthropogenic carbon dioxide warming should emerge from the noise level of natural climate variability by the end of the century, and there is a high probability of warming in the 1980s. Potential effects on climate in the 21st century include the creation of drought-prone regions in North America and central Asia as part of a shifting of climatic zones, erosion of the West Antarctic ice sheet with a consequent worldwide rise in sea level, and opening of the fabled Northwest Passage.


Philosophical Transactions of the Royal Society A | 2007

Climate change and trace gases

James E. Hansen; M Akiko Sato; P Ushker Kharecha; Gary L. Russell; D Avid W. Lea; Mark Siddall

Palaeoclimate data show that the Earths climate is remarkably sensitive to global forcings. Positive feedbacks predominate. This allows the entire planet to be whipsawed between climate states. One feedback, the ‘albedo flip’ property of ice/water, provides a powerful trigger mechanism. A climate forcing that ‘flips’ the albedo of a sufficient portion of an ice sheet can spark a cataclysm. Inertia of ice sheet and ocean provides only moderate delay to ice sheet disintegration and a burst of added global warming. Recent greenhouse gas (GHG) emissions place the Earth perilously close to dramatic climate change that could run out of our control, with great dangers for humans and other creatures. Carbon dioxide (CO2) is the largest human-made climate forcing, but other trace constituents are also important. Only intense simultaneous efforts to slow CO2 emissions and reduce non-CO2 forcings can keep climate within or near the range of the past million years. The most important of the non-CO2 forcings is methane (CH4), as it causes the second largest human-made GHG climate forcing and is the principal cause of increased tropospheric ozone (O3), which is the third largest GHG forcing. Nitrous oxide (N2O) should also be a focus of climate mitigation efforts. Black carbon (‘black soot’) has a high global warming potential (approx. 2000, 500 and 200 for 20, 100 and 500 years, respectively) and deserves greater attention. Some forcings are especially effective at high latitudes, so concerted efforts to reduce their emissions could preserve Arctic ice, while also having major benefits for human health, agricultural productivity and the global environment.


Journal of Advances in Modeling Earth Systems | 2014

Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive

Gavin A. Schmidt; Max Kelley; Larissa Nazarenko; Reto Ruedy; Gary L. Russell; Igor Aleinov; Mike Bauer; Susanne E. Bauer; Maharaj K. Bhat; Rainer Bleck; V. M. Canuto; Thomas L. Clune; Rosalinda de Fainchtein; Anthony D. Del Genio; Nancy Y. Kiang; A. Lacis; Allegra N. LeGrande; Elaine Matthews; Ron L. Miller; Amidu Oloso; William M. Putman; David Rind; Drew T. Shindell; Rahman A. Syed; Jinlun Zhang

We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980–2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.


Atmosphere-ocean | 1995

A coupled atmosphere‐ocean model for transient climate change studies

Gary L. Russell; James R. Miller; David Rind

Abstract A new coupled atmosphere‐ocean model has been developed for climate predictions at decade to century scales. The atmospheric model is similar to that of Hansen et al. (1983) except that the atmospheric dynamic equations for mass and momentum are solved using Arakawa and Lambs (1977) C grid scheme and the advection of potential enthalpy and water vapour uses the linear upstream scheme (Russell and Lerner, 1981). The new global ocean model conserves mass, allows for divergent flow, has a free surface and uses the linear upstream scheme for the advection of potential enthalpy and salt. Both models run at 4° × 5° resolution, with 9 vertical layers for the atmosphere and 13 layers for the ocean. Twelve straits are included, allowing for subgrid‐scale water flow. Runoff from land is routed into appropriate ocean basins. Atmospheric and oceanic surface fluxes are of opposite sign and are applied synchronously. Flux adjustments are not used. Except for partial strength alternating binomial filters (Shap...


Journal of Applied Meteorology | 1981

A New Finite-Differencing Scheme for the Tracer Transport Equation

Gary L. Russell; Jean Lerner

Abstract A new finite-differencing scheme for solving the tracer transport equation given prescribed winds is presented. The prognostic quantities predicted by the new scheme are the mean concentration and its spatial gradients. In one and two-dimensional tests using uniform air masses, the new scheme is roughly comparable to a fourth-order differencing scheme in accuracy. When the air masses are not uniform, the new scheme is superior to fourth-order differencing. An application of the schemes to three-dimensional tracer modeling is included.


Journal of Climate | 1994

Continental-Scale River Flow in Climate Models

James R. Miller; Gary L. Russell; Guilherme Caliri

Abstract The hydrologic cycle is a major part of the global climate system. There is an atmospheric flux of water from the ocean surface to the continents. The cycle is closed by return flow in rivers. In this paper a river routing model is developed to use with grid box climate models for the whole earth. The routing model needs an algorithm for the river mass flow and a river direction file, which has been compiled for 4°×5° and 20°×2.5° resolutions. River basins are defined by the direction files. The river flow leaving each grid box depends on river and lake mass, downstream distance, and an effective flow speed that depends on topography. As input the routing model uses monthly land source runoff from a 5-yr simulation of the NASA/GISS atmospheric climate model (Hansen et al.). The land source runoff from the 4°×5° resolution model is quartered onto a 2°×2.5° grid, and the effect of grid resolution is examined. Monthly flow at the mouth of the worlds major rivers is compared with observations, and a...


Climate Dynamics | 2007

Climate simulations for 1880–2003 with GISS modelE

James E. Hansen; Makiko Sato; Reto Ruedy; Pushker A. Kharecha; Andrew A. Lacis; Ron L. Miller; Larissa Nazarenko; K. Lo; Gavin A. Schmidt; Gary L. Russell; Igor Aleinov; Susanne E. Bauer; E. Baum; Brian Cairns; V. M. Canuto; Mark A. Chandler; Y. Cheng; Armond Cohen; A. D. Del Genio; G. Faluvegi; Eric L. Fleming; Andrew D. Friend; Timothy M. Hall; Charles H. Jackman; Jeffrey Jonas; Maxwell Kelley; Nancy Y. Kiang; D. Koch; Gordon Labow; J. Lerner

We carry out climate simulations for 1880–2003 with GISS modelE driven by ten measured or estimated climate forcings. An ensemble of climate model runs is carried out for each forcing acting individually and for all forcing mechanisms acting together. We compare side-by-side simulated climate change for each forcing, all forcings, observations, unforced variability among model ensemble members, and, if available, observed variability. Discrepancies between observations and simulations with all forcings are due to model deficiencies, inaccurate or incomplete forcings, and imperfect observations. Although there are notable discrepancies between model and observations, the fidelity is sufficient to encourage use of the model for simulations of future climate change. By using a fixed well-documented model and accurately defining the 1880–2003 forcings, we aim to provide a benchmark against which the effect of improvements in the model, climate forcings, and observations can be tested. Principal model deficiencies include unrealistically weak tropical El Nino-like variability and a poor distribution of sea ice, with too much sea ice in the Northern Hemisphere and too little in the Southern Hemisphere. Greatest uncertainties in the forcings are the temporal and spatial variations of anthropogenic aerosols and their indirect effects on clouds.


Journal of Geophysical Research | 1992

The impact of global warming on river runoff

James R. Miller; Gary L. Russell

River runoff from the worlds major rivers is an important part of the hydrologic cycle. Runoff changes in response to global greenhouse-induced warming will have impacts in many areas, including agriculture, water resources, and land use. A global atmospheric model is used to calculate the annual river runoff for 33 of the worlds major rivers for the present climate and for a doubled CO2 climate. The model has a horizontal resolution of 4° × 5°, but the runoff from each model grid box is quartered and added to the appropriate river drainage basin on a 2° × 2.5° resolution. The computed runoff depends on the models precipitation, evapotranspiration, and soil moisture storage. For the doubled CO2 climate, the runoff increased for 25 of the 33 rivers, and in most cases the increases coincided with increased rainfall within the drainage basins. There were runoff increases in all rivers in high northern latitudes, with a maximum increase of 47%. At low latitudes there were both increases and decreases ranging from a 96% increase to a 43% decrease. The effect of the simplified model assumptions of land-atmosphere interactions on the results is discussed.

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David Rind

Goddard Institute for Space Studies

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Gavin A. Schmidt

Goddard Institute for Space Studies

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Reto Ruedy

Goddard Institute for Space Studies

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A. Lacis

Goddard Institute for Space Studies

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Andrew A. Lacis

Goddard Institute for Space Studies

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Larissa Nazarenko

Goddard Institute for Space Studies

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