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Featured researches published by Mariana Vertenstein.


Journal of Climate | 2004

The Community Climate System Model Version 4

Peter R. Gent; Gokhan Danabasoglu; Leo J. Donner; Marika M. Holland; Elizabeth C. Hunke; Steven R. Jayne; David M. Lawrence; Richard Neale; Philip J. Rasch; Mariana Vertenstein; Patrick H. Worley; Zong-Liang Yang; Minghua Zhang

AbstractThe fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all CCSM components, and documents fully coupled preindustrial control runs compared to the previous version, CCSM3. Using the standard atmosphere and land resolution of 1° results in the sea surface temperature biases in the major upwelling regions being comparable to the 1.4°-resolution CCSM3. Two changes to the deep convection scheme in the atmosphere component result in CCSM4 producing El Nino–Southern Oscillation variability with a much more realistic frequency distribution than in CCSM3, although the amplitude is too large compared to observations. These changes also improve the Madden–Julian oscillation and the frequency distribution of tropical precipitation. A new overflow parameterization in the ocean component leads to an improved simulation of the Gulf Stream path and the North Atlantic Ocean meridional overturning circulati...


Bulletin of the American Meteorological Society | 2013

The Community Earth System Model: A Framework for Collaborative Research

James W. Hurrell; Marika M. Holland; Peter R. Gent; Steven J. Ghan; Jennifer E. Kay; Paul J. Kushner; Jean-Francois Lamarque; William G. Large; David M. Lawrence; Keith Lindsay; William H. Lipscomb; Matthew C. Long; Natalie M. Mahowald; Daniel R. Marsh; Richard Neale; Philip J. Rasch; Steven J. Vavrus; Mariana Vertenstein; David C. Bader; William D. Collins; James J. Hack; Jeffrey T. Kiehl; Shawn J. Marshall

The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of Earth system interactions across multiple time and space scales. This global coupled model significantly extends its predecessor, the Community Climate System Model, by incorporating new Earth system simulation capabilities. These comprise the ability to simulate biogeochemical cycles, including those of carbon and nitrogen, a variety of atmospheric chemistry options, the Greenland Ice Sheet, and an atmosphere that extends to the lower thermosphere. These and other new model capabilities are enabling investigations into a wide range of pressing scientific questions, providing new foresight into possible future climates and increasing our collective knowledge about the behavior and interactions of the Earth system. Simulations with numerous configurations of the CESM have been provided to phase 5 of the Coupled Model Intercomparison Project (CMIP5) and are being analyzed by the broad com...


Journal of Climate | 2002

The Land Surface Climatology of the Community Land Model Coupled to the NCAR Community Climate Model

Gordon B. Bonan; Keith W. Oleson; Mariana Vertenstein; Samuel Levis; Xubin Zeng; Yongjiu Dai; Robert E. Dickinson; Zong-Liang Yang

The land surface parameterization used with the community climate model (CCM3) and the climate system model (CSM1), the National Center for Atmospheric Research land surface model (NCAR LSM1), has been modified as part of the development of the next version of these climate models. This new model is known as the community land model (CLM2). In CLM2, the surface is represented by five primary subgrid land cover types (glacier, lake, wetland, urban, vegetated) in each grid cell. The vegetated portion of a grid cell is further divided into patches of up to 4 of 16 plant functional types, each with its own leaf and stem area index and canopy height. The relative area of each subgrid unit, the plant functional type, and leaf area index are obtained from 1-km satellite data. The soil texture dataset allows vertical profiles of sand and clay. Most of the physical parameterizations in the model were also updated. Major model differences include: 10 layers for soil temperature and soil water with explicit treatment of liquid water and ice; a multilayer snowpack; runoff based on the TOPMODEL concept; new formulation of ground and vegetation fluxes; and vertical root profiles from a global synthesis of ecological studies. Simulations with CCM3 show significant improvements in surface air temperature, snow cover, and runoff for CLM2 compared to LSM1. CLM2 generally warms surface air temperature in all seasons compared to LSM1, reducing or eliminating many cold biases. Annual precipitation over land is reduced from 2.35 mm day21 in LSM1 to 2.14 mm day21 in CLM2. The hydrologic cycle is also different. Transpiration and ground evaporation are reduced. Leaves and stems evaporate more intercepted water annually in CLM2 than LSM1. Global runoff from land increases from 0.75 mm day21 in LSM1 to 0.84 mm day21 in CLM2. The annual cycle of runoff is greatly improved in CLM2, especially in arctic and boreal regions where the model has low runoff in cold seasons when the soil is frozen and high runoff during the snowmelt season. Most of the differences between CLM2 and LSM1 are attributed to particular parameterizations rather than to different surface datasets. Important processes include: multilayer snow, frozen water, interception, soil water limitation to latent heat, and higher aerodynamic resistances to heat exchange from ground.


Bulletin of the American Meteorological Society | 2015

The Community Earth System Model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability

Jennifer E. Kay; Clara Deser; Adam S. Phillips; A Mai; Cecile Hannay; Gary Strand; Julie M. Arblaster; Susan C. Bates; Gokhan Danabasoglu; James Edwards; Marika M. Holland; Paul J. Kushner; Jean-Francois Lamarque; David M. Lawrence; Keith Lindsay; A Middleton; Ernesto Munoz; Richard Neale; Keith W. Oleson; Lorenzo M. Polvani; Mariana Vertenstein

AbstractWhile internal climate variability is known to affect climate projections, its influence is often underappreciated and confused with model error. Why? In general, modeling centers contribute a small number of realizations to international climate model assessments [e.g., phase 5 of the Coupled Model Intercomparison Project (CMIP5)]. As a result, model error and internal climate variability are difficult, and at times impossible, to disentangle. In response, the Community Earth System Model (CESM) community designed the CESM Large Ensemble (CESM-LE) with the explicit goal of enabling assessment of climate change in the presence of internal climate variability. All CESM-LE simulations use a single CMIP5 model (CESM with the Community Atmosphere Model, version 5). The core simulations replay the twenty to twenty-first century (1920–2100) 30 times under historical and representative concentration pathway 8.5 external forcing with small initial condition differences. Two companion 1000+-yr-long preindu...


Journal of Climate | 2006

The Community Land Model and Its Climate Statistics as a Component of the Community Climate System Model

Robert E. Dickinson; Keith W. Oleson; Gordon B. Bonan; Forrest M. Hoffman; Peter E. Thornton; Mariana Vertenstein; Zong-Liang Yang; Xubin Zeng

Abstract Several multidecadal simulations have been carried out with the new version of the Community Climate System Model (CCSM). This paper reports an analysis of the land component of these simulations. Global annual averages over land appear to be within the uncertainty of observational datasets, but the seasonal cycle over land of temperature and precipitation appears to be too weak. These departures from observations appear to be primarily a consequence of deficiencies in the simulation of the atmospheric model rather than of the land processes. High latitudes of northern winter are biased sufficiently warm to have a significant impact on the simulated value of global land temperature. The precipitation is approximately doubled from what it should be at some locations, and the snowpack and spring runoff are also excessive. The winter precipitation over Tibet is larger than observed. About two-thirds of this precipitation is sublimated during the winter, but what remains still produces a snowpack tha...


Journal of Applied Meteorology and Climatology | 2008

An Urban Parameterization for a Global Climate Model. Part I: Formulation and Evaluation for Two Cities

Keith W. Oleson; Gordon B. Bonan; Johannes J. Feddema; Mariana Vertenstein; C. S. B. Grimmond

Abstract Urbanization, the expansion of built-up areas, is an important yet less-studied aspect of land use/land cover change in climate science. To date, most global climate models used to evaluate effects of land use/land cover change on climate do not include an urban parameterization. Here, the authors describe the formulation and evaluation of a parameterization of urban areas that is incorporated into the Community Land Model, the land surface component of the Community Climate System Model. The model is designed to be simple enough to be compatible with structural and computational constraints of a land surface model coupled to a global climate model yet complex enough to explore physically based processes known to be important in determining urban climatology. The city representation is based upon the “urban canyon” concept, which consists of roofs, sunlit and shaded walls, and canyon floor. The canyon floor is divided into pervious (e.g., residential lawns, parks) and impervious (e.g., roads, par...


Archive | 2004

The Community Land Model's Dynamic Global Vegetation Model (CLM-DGVM): Technical description and user's guide

Samuel Levis; B. Bonan; Mariana Vertenstein; Keith W. Oleson

The Technical Note series provides an outlet for a variety of NCAR Manuscripts that contribute in specialized ways to the body of scientific knowledge but that are not suitable for journal, monograph, or book publication. Reports in this series are issued by the NCAR scientific divisions. Designation symbols for the series include: EDD – Engineering, Design or Development Reports Equipment descriptions, test results, instrumentation, and operating and maintenance manuals. PPR – Program Progress Reports Field program reports, interim and working reports, survey reports, and plans for experiments. STR – Scientific and Technical Reports Data compilations, theoretical and numerical investigations, and experimental results. The National Center for Atmospheric Research (NCAR) is operated by the non-profit University Corporation for Atmospheric Research (UCAR) under the sponsorship of the National Science Foundation. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


ieee international conference on high performance computing data and analytics | 2012

A new flexible coupler for earth system modeling developed for CCSM4 and CESM1

Anthony P. Craig; Mariana Vertenstein; Robert L. Jacob

The Community Climate System Model (CCSM) has been developed over the last decade, and it is used to understand past, present, and future climates. The latest versions of the model, CCSM4 and CESM1, contain totally new coupling capabilities in the CPL7 coupler that permit additional flexibility and extensibility to address the challenges involved in earth system modeling. The CPL7 coupling architecture takes a completely new approach with respect to the high-level design of the system. CCSM4 now contains a top-level driver that calls model component initialize, run, and finalize methods through specified interfaces. The top-level driver allows the model components to be placed on relatively arbitrary hardware processor layouts and run sequentially, concurrently, or mixed. Improvements have been made to the memory and performance scaling of the coupler to support much higher resolution configurations. CCSM4 scales better to higher processor counts, and has the ability to handle global resolutions up to one-tenth of a degree.


Journal of Applied Meteorology and Climatology | 2008

An Urban Parameterization for a Global Climate Model. Part II: Sensitivity to Input Parameters and the Simulated Urban Heat Island in Offline Simulations

Keith W. Oleson; Gordon B. Bonan; Johannes J. Feddema; Mariana Vertenstein

In a companion paper, the authors presented a formulation and evaluation of an urban parameterization designed to represent the urban energy balance in the Community Land Model. Here the robustness of the model is tested through sensitivity studies and the model’s ability to simulate urban heat islands in different environments is evaluated. Findings show that heat storage and sensible heat flux are most sensitive to uncertainties in the input parameters within the atmospheric and surface conditions considered here. The sensitivity studies suggest that attention should be paid not only to characterizing accurately the structure of the urban area (e.g., height-to-width ratio) but also to ensuring that the input data reflect the thermal admittance properties of each of the city surfaces. Simulations of the urban heat island show that the urban model is able to capture typical observed characteristics of urban climates qualitatively. In particular, the model produces a significant heat island that increases with height-to-width ratio. In urban areas, daily minimum temperatures increase more than daily maximum temperatures, resulting in a reduced diurnal temperature range relative to equivalent rural environments. The magnitude and timing of the heat island vary tremendously depending on the prevailing meteorological conditions and the characteristics of surrounding rural environments. The model also correctly increases the Bowen ratio and canopy air temperatures of urban systems as impervious fraction increases. In general, these findings are in agreement with those observed for real urban ecosystems. Thus, the model appears to be a useful tool for examining the nature of the urban climate within the framework of global climate models.


Journal of Climate | 2013

Implementation and Initial Evaluation of the Glimmer Community Ice Sheet Model in the Community Earth System Model

William H. Lipscomb; Jeremy G. Fyke; Miren Vizcaino; William J. Sacks; Jon Wolfe; Mariana Vertenstein; Anthony P. Craig; Erik Kluzek; David M. Lawrence

AbstractThe Glimmer Community Ice Sheet Model (Glimmer-CISM) has been implemented in the Community Earth System Model (CESM). Glimmer-CISM is forced by a surface mass balance (SMB) computed in multiple elevation classes in the CESM land model and downscaled to the ice sheet grid. Ice sheet evolution is governed by the shallow-ice approximation with thermomechanical coupling and basal sliding. This paper describes and evaluates the initial model implementation for the Greenland Ice Sheet (GIS). The ice sheet model was spun up using the SMB from a coupled CESM simulation with preindustrial forcing. The models sensitivity to three key ice sheet parameters was explored by running an ensemble of 100 GIS simulations to quasi equilibrium and ranking each simulation based on multiple diagnostics. With reasonable parameter choices, the steady-state GIS geometry is broadly consistent with observations. The simulated ice sheet is too thick and extensive, however, in some marginal regions where the SMB is anomalousl...

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Anthony P. Craig

National Center for Atmospheric Research

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John M. Dennis

National Center for Atmospheric Research

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Keith W. Oleson

National Center for Atmospheric Research

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Gokhan Danabasoglu

National Center for Atmospheric Research

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Robert L. Jacob

Argonne National Laboratory

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Jim Edwards

National Center for Atmospheric Research

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Patrick H. Worley

Oak Ridge National Laboratory

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Richard Neale

National Center for Atmospheric Research

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Samuel Levis

National Center for Atmospheric Research

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David M. Lawrence

National Center for Atmospheric Research

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