Larissa Nazarenko
Goddard Institute for Space Studies
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Featured researches published by Larissa Nazarenko.
Journal of Climate | 2006
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...
Journal of Geophysical Research | 2002
James E. Hansen; Makiko Sato; Larissa Nazarenko; Reto Ruedy; A. Lacis; D. Koch; Ina Tegen; Timothy M. Hall; Drew T. Shindell; B. D. Santer; Peter H. Stone; T. Novakov; Larry W. Thomason; R. H. J. Wang; Yuhang Wang; Daniel J. Jacob; S. M. Hollandsworth; L. Bishop; Jennifer A. Logan; Anne M. Thompson; Richard S. Stolarski; Judith Lean; R. Willson; Sydney Levitus; John I. Antonov; Nick Rayner; D. E. Parker; John R. Christy
[1] We define the radiative forcings used in climate simulations with the SI2000 version of the Goddard Institute for Space Studies (GISS) global climate model. These include temporal variations of well-mixed greenhouse gases, stratospheric aerosols, solar irradiance, ozone, stratospheric water vapor, and tropospheric aerosols. Our illustrations focus on the period 1951–2050, but we make the full data sets available for those forcings for which we have earlier data. We illustrate the global response to these forcings for the SI2000 model with specified sea surface temperature and with a simple Q-flux ocean, thus helping to characterize the efficacy of each forcing. The model yields good agreement with observed global temperature change and heat storage in the ocean. This agreement does not yield an improved assessment of climate sensitivity or a confirmation of the net climate forcing because of possible compensations with opposite changes of these quantities. Nevertheless, the results imply that observed global temperature change during the past 50 years is primarily a response to radiative forcings. It is also inferred that the planet is now out of radiation balance by 0.5 to 1 W/m 2 and that additional global warming of about 0.5� C is already ‘‘in the pipeline.’’ INDEX TERMS: 1620 Global Change: Climate dynamics (3309); 1635 Global Change: Oceans (4203); 1650 Global Change: Solar variability;
Journal of Advances in Modeling Earth Systems | 2014
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.
Climate Dynamics | 2007
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 Climate | 2012
Daehyun Kim; Adam H. Sobel; Anthony D. Del Genio; Yonghua Chen; Suzana J. Camargo; Mao-Sung Yao; Maxwell Kelley; Larissa Nazarenko
The tropical subseasonal variability simulated by the Goddard Institute for Space Studies general circulation model, Model E2, is examined. Several versions of Model E2 were developed with changes to the convective parameterization in order to improve the simulation of the Madden‐Julian oscillation (MJO). When the convective scheme is modified to have a greater fractional entrainment rate, Model E2 is able to simulate MJO-like disturbances with proper spatial and temporal scales. Increasing the rate of rain reevaporation has additionalpositive impacts on the simulated MJO. The improvement in MJO simulation comes at the cost of increased biases in the mean state, consistent in structure and amplitude with those found in other GCMs when tuned to have a stronger MJO. By reinitializing a relatively poor-MJO version with restart files from a relatively better-MJO version, a series of 30-day integrations is constructed to examine the impacts of the parameterization changes on the organization of tropical convection. The poor-MJO version with smaller entrainment rate has a tendency to allow convection to be activated over a broader area and to reduce the contrast between dry and wet regimes so that tropical convection becomes less organized. Besides the MJO, the number of tropical-cyclone-like vortices simulated by the model is also affected by changes in the convectionscheme.Themodelsimulatesasmallernumberof suchstormsgloballywithalargerentrainmentrate, while the number increases significantly with a greater rain reevaporation rate.
Journal of Advances in Modeling Earth Systems | 2014
Ron L. Miller; Gavin A. Schmidt; Larissa Nazarenko; Nick Tausnev; Susanne E. Bauer; Anthony D. DelGenio; Max Kelley; Ken K. Lo; Reto Ruedy; Drew T. Shindell; Igor Aleinov; Mike Bauer; Rainer Bleck; V. M. Canuto; Yonghua Chen; Y. Cheng; Thomas L. Clune; Greg Faluvegi; James E. Hansen; Richard J. Healy; Nancy Y. Kiang; D. Koch; A. Lacis; Allegra N. LeGrande; Jean Lerner; Surabi Menon; Valdar Oinas; Carlos Pérez García-Pando; Jan Perlwitz; Michael J. Puma
Observations of climate change during the CMIP5 extended historical period (1850-2012) are compared to trends simulated by six versions of the NASA Goddard Institute for Space Studies ModelE2 Earth System Model. The six models are constructed from three versions of the ModelE2 atmospheric general circulation model, distinguished by their treatment of atmospheric composition and the aerosol indirect effect, combined with two ocean general circulation models, HYCOM and Russell. Forcings that perturb the model climate during the historical period are described. Five-member ensemble averages from each of the six versions of ModelE2 simulate trends of surface air temperature, atmospheric temperature, sea ice and ocean heat content that are in general agreement with observed trends, although simulated warming is slightly excessive within the past decade. Only simulations that include increasing concentrations of long-lived greenhouse gases match the warming observed during the twentieth century. Differences in twentieth-century warming among the six model versions can be attributed to differences in climate sensitivity, aerosol and ozone forcing, and heat uptake by the deep ocean. Coupled models with HYCOM export less heat to the deep ocean, associated with reduced surface warming in regions of deepwater formation, but greater warming elsewhere at high latitudes along with reduced sea ice. All ensembles show twentieth-century annular trends toward reduced surface pressure at southern high latitudes and a poleward shift of the midlatitude westerlies, consistent with observations.
Journal of Geophysical Research | 1998
Larissa Nazarenko; Greg Holloway; Nickolay Tausnev
Understanding the circulation of the Arctic is the basis for considering questions relating to transport of contaminants from all sources. In this study a numerical ice-ocean model has been used to address problems of the dispersion and transport pathways of contaminants in the water column. We investigate sensitivity of the contaminant distribution to parameterization of sub-grid-scale eddies and to numerical representation of tracer advection. An implementation of flux-corrected transport helps preserve tracer properties along their advective paths. Eddy parameterization is found to be important insofar as eddy-topography interactions contribute to propelling and sustaining narrow boundary currents. These boundary currents, cyclonic around the Arctic and each of its subbasins, are the main vehicle that transports Atlantic water properties. Consideration of ice and ocean models together does not lead to significant alterations in distribution of Atlantic properties. Although inclusion of sea ice affects circulation of the upper (halocline) layers, the main transport of Atlantic properties occurs in deeper layers, which are much less affected by ice processes.
Geophysical Research Letters | 2005
Larissa Nazarenko; Surabi Menon
The observed reduction in land surface radiation over the last several decades (1960-1990)---the so-called dimming effect --- and the more recent evidence of a reversal in dimming over some locations beyond 1990 suggest several consequences on climate, notably on the hydrological cycle. Such a reduction in radiation should imply reduced surface temperature (Ts) and precipitation, which have not occurred. We have investigated the possible causes for the above climate features using a climate model coupled to a dynamic ocean model under natural and anthropogenic conditions. To isolate the aerosol influence on surface radiation trends, we have analyzed transient climate simulations from 1960 to 2002 with and without anthropogenic aerosols. Based on a linear trend with aerosol effects included, the global mean change in the surface solar radiation absorbed over land is -0.021+-0.0033 Wm-2yr-1. Although the overall trend is negative, we do note a reversal in dimming after 1990, consistent with observations. Without aerosol effects, the surface solar radiation absorbed over land increases throughout 1960 to 2002, mainly due to the decrease in cloud cover associated with increased greenhouse warming. In spite of a simulated increase in Ts of 0.012 K yr-1 for 1960 to 2002, the global mean latent heat flux and associated intensity of the hydrological cycle decrease overall, however with increases over some land locations due mainly to moisture advection. Simulated changes correspond more closely to observed changes when accounting for aerosol effects on climate.
Climate Dynamics | 2015
Benjamin I. Cook; Sonali P. Shukla; Michael J. Puma; Larissa Nazarenko
Abstract Irrigation is the single largest anthropogenic water use, a modification of the land surface that significantly affects surface energy budgets, the water cycle, and climate. Irrigation, however, is typically not included in standard historical general circulation model (GCM) simulations along with other anthropogenic and natural forcings. To investigate the importance of irrigation as an anthropogenic climate forcing, we conduct two 5-member ensemble GCM experiments. Both are setup identical to the historical forced (anthropogenic plus natural) scenario used in version 5 of the Coupled Model Intercomparison Project, but in one experiment we also add water to the land surface using a dataset of historically estimated irrigation rates. Irrigation has a negligible effect on the global average radiative balance at the top of the atmosphere, but causes significant cooling of global average surface air temperatures over land and dampens regional warming trends. This cooling is regionally focused and is especially strong in Western North America, the Mediterranean, the Middle East, and Asia. Irrigation enhances cloud cover and precipitation in these same regions, except for summer in parts of Monsoon Asia, where irrigation causes a reduction in monsoon season precipitation. Irrigation cools the surface, reducing upward fluxes of longwave radiation (increasing net longwave), and increases cloud cover, enhancing shortwave reflection (reducing net shortwave). The relative magnitude of these two processes causes regional increases (northern India) or decreases (Central Asia, China) in energy availability at the surface and top of the atmosphere. Despite these changes in net radiation, however, climate responses are due primarily to larger magnitude shifts in the Bowen ratio from sensible to latent heating. Irrigation impacts on temperature, precipitation, and other climate variables are regionally significant, even while other anthropogenic forcings (anthropogenic aerosols, greenhouse gases, etc.) dominate the long term climate evolution in the simulations. To better constrain the magnitude and uncertainties of irrigation-forced climate anomalies, irrigation should therefore be considered as another important anthropogenic climate forcing in the next generation of historical climate simulations and multi-model assessments.
Journal of the Atmospheric Sciences | 2015
Jonathan H. Jiang; Hui Su; Chengxing Zhai; T. Janice Shen; Tongwen Wu; Jie Zhang; Jason N. S. Cole; Knut von Salzen; Leo J. Donner; Charles Seman; Anthony D. Del Genio; Larissa Nazarenko; Jean-Louis Dufresne; Masahiro Watanabe; Cyril J. Morcrette; Tsuyoshi Koshiro; Hideaki Kawai; Andrew Gettelman; Luis Millán; William G. Read; Nathaniel J. Livesey; Yasko Kasai; Masato Shiotani
AbstractUpper-tropospheric ice cloud measurements from the Superconducting Submillimeter Limb Emission Sounder (SMILES) on the International Space Station (ISS) are used to study the diurnal cycle of upper-tropospheric ice cloud in the tropics and midlatitudes (40°S–40°N) and to quantitatively evaluate ice cloud diurnal variability simulated by 10 climate models. Over land, the SMILES-observed diurnal cycle has a maximum around 1800 local solar time (LST), while the model-simulated diurnal cycles have phases differing from the observed cycle by −4 to 12 h. Over ocean, the observations show much smaller diurnal cycle amplitudes than over land with a peak at 1200 LST, while the modeled diurnal cycle phases are widely distributed throughout the 24-h period. Most models show smaller diurnal cycle amplitudes over ocean than over land, which is in agreement with the observations. However, there is a large spread of modeled diurnal cycle amplitudes ranging from 20% to more than 300% of the observed over both lan...