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Dive into the research topics where Erik Kluzek is active.

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Featured researches published by Erik Kluzek.


Journal of Climate | 2012

Simulating the Biogeochemical and Biogeophysical Impacts of Transient Land Cover Change and Wood Harvest in the Community Climate System Model (CCSM4) from 1850 to 2100

Peter J. Lawrence; Johannes J. Feddema; Gordon B. Bonan; Gerald A. Meehl; Brian C. O’Neill; Keith W. Oleson; Samuel Levis; David M. Lawrence; Erik Kluzek; Keith Lindsay; Peter E. Thornton

AbstractTo assess the climate impacts of historical and projected land cover change in the Community Climate System Model, version 4 (CCSM4), new time series of transient Community Land Model, version 4 (CLM4) plant functional type (PFT) and wood harvest parameters have been developed. The new parameters capture the dynamics of the Coupled Model Intercomparison Project phase 5 (CMIP5) land cover change and wood harvest trajectories for the historical period from 1850 to 2005 and for the four representative concentration pathway (RCP) scenarios from 2006 to 2100. Analysis of the biogeochemical impacts of land cover change in CCSM4 reveals that the model produced a historical cumulative land use flux of 127.7 PgC from 1850 to 2005, which is in general agreement with other global estimates of 156 PgC for the same period. The biogeophysical impacts of the transient land cover change parameters were cooling of the near-surface atmosphere over land by −0.1°C, through increased surface albedo and reduced shortwa...


Journal of Climate | 2012

Interactive Crop Management in the Community Earth System Model (CESM1): Seasonal Influences on Land–Atmosphere Fluxes

Samuel Levis; Gordon B. Bonan; Erik Kluzek; Peter E. Thornton; Andrew D. Jones; William J. Sacks; Christopher J. Kucharik

AbstractThe Community Earth System Model, version 1 (CESM1) is evaluated with two coupled atmosphere–land simulations. The CTRL (control) simulation represents crops as unmanaged grasses, while CROP represents a crop managed simulation that includes special algorithms for midlatitude corn, soybean, and cereal phenology and carbon allocation. CROP has a more realistic leaf area index (LAI) for crops than CTRL. CROP reduces winter LAI and represents the spring planting and fall harvest explicitly. At the peak of the growing season, CROP simulates higher crop LAI. These changes generally reduce the latent heat flux but not around peak LAI (late spring/early summer). In midwestern North America, where corn, soybean, and cereal abundance is high, simulated peak summer precipitation declines and agrees better with observations, particularly when crops emerge late as is found from a late planting sensitivity simulation (LateP). Differences between the CROP and LateP simulations underscore the importance of simul...


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...


Archive | 2010

Technical Description of an Urban Parameterization for the Community Land Model (CLMU)

W. Oleson; B. Bonan; Johannes J. Feddema; Mariana Vertenstein; Erik Kluzek

The Technical Notes 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: recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


parallel computing | 2004

Implementing applications with the earth system modeling framework

Chris Hill; Cecelia DeLuca; Venkatramani Balaji; Max J. Suarez; Arlindo da Silva; William Sawyer; Carlos A. Cruz; Atanas Trayanov; Leonid Zaslavsky; Robert Hallberg; B. A. Boville; Anthony P. Craig; Nancy Collins; Erik Kluzek; John Michalakes; David Neckels; Earl Schwab; Shepard Smithline; Jon Wolfe; Mark Iredell; Weiyu Yang; Robert L. Jacob; Jay Walter Larson

The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard defines a component architecture superstructure and a support infrastructure. The superstructure allows earth scientists to develop complex software models with numerous components in a coordinated fashion. The infrastructure allows models to run efficiently on high performance computers. It offers capabilities that are commonly needed in Earth Science applications, for example, support for a broad range of discrete grids, regridding functions, and a distributed grid class which represents the data decomposition. We illustrate these features through a simplified finite-volume atmospheric model, and report the parallel performance of the underlying ESMF components.


Concurrency and Computation: Practice and Experience | 2007

Cross‐organization interoperability experiments of weather and climate models with the Earth System Modeling Framework

Shujia Zhou; V. Balaji; Carlos A. Cruz; Arlindo da Silva; Chris Hill; Erik Kluzek; Shepard Smithline; Atanas Trayanov; Weiyu Yang

Typical weather and climate models need a software tool to couple sub‐scale model components. The high‐performance computing requirements and a variety of model interfaces make the development of such a coupling tool very challenging. In this paper, we describe the approach of the Earth System Modeling Framework, in particular its component and coupling mechanism, and present the results of three cross‐organization model interoperability experiments. Copyright


Archive | 2010

Technical Description of version 4.0 of the Community Land Model (CLM)

W. Oleson; M. G. Lawrence; B. Bonan; G. Flanner; Erik Kluzek; J. Lawrence; Samuel Levis; C. Swenson; E. Thornton; Aiguo Dai; Mark Decker; Robert E. Dickinson; Johannes J. Feddema; L. Heald; Forrest M. Hoffman; Jean-Francois Lamarque; Natalie M. Mahowald; Guo Yue Niu; Taotao Qian; James T. Randerson; Steve Running; Koichi Sakaguchi; Andrew G. Slater; Reto Stöckli; Aihui Wang; Zong-Liang Yang; Xiaodong Zeng; Xubin Zeng


Global Change Biology | 2018

Matrix approach to land carbon cycle modeling: A case study with the Community Land Model

Yuanyuan Huang; Xingjie Lu; Zheng Shi; David M. Lawrence; Charles D. Koven; Jianyang Xia; Zhenggang Du; Erik Kluzek; Yiqi Luo


Supplement to: Huang, Y et al. (2018): Matrix approach to land carbon cycle modeling: A case study with the Community Land Model. Global Change Biology, 24(3), 1394-1404, https://doi.org/10.1111/gcb.13948 | 2017

Matrix approach to land carbon cycle modeling: A case study with Community Land Model, link to input data in NetCDF format

Yuanyuan Huang; Xingjie Lu; Zheng Shi; David M. Lawrence; Charles D. Koven; Jianyang Xia; Zhenggang Du; Erik Kluzek; Yiqi Luo


Concurrency and Computation: Practice and Experience | 2007

Cross-organization interoperability experiments of weather and climate models with the Earth System Modeling Framework: Research Articles

Shujia Zhou; V. Balaji; Carlos A. Cruz; Arlindo da Silva; Chris Hill; Erik Kluzek; Shep Smithline; Atanas Trayanov; Weiyu Yang

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David M. Lawrence

National Center for Atmospheric Research

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Arlindo da Silva

Goddard Space Flight Center

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Atanas Trayanov

Goddard Space Flight Center

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Carlos A. Cruz

Goddard Space Flight Center

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Chris Hill

Massachusetts Institute of Technology

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Samuel Levis

National Center for Atmospheric Research

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Anthony P. Craig

National Center for Atmospheric Research

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Gordon B. Bonan

National Center for Atmospheric Research

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