M
Michael A. Brunke
Researcher at University of Arizona
Publications - 38
Citations - 2329
Michael A. Brunke is an academic researcher from University of Arizona. The author has contributed to research in topics: Climate model & Sea surface temperature. The author has an hindex of 16, co-authored 31 publications receiving 1438 citations. Previous affiliations of Michael A. Brunke include University of Colorado Boulder.
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Journal ArticleDOI
The Community Land Model version 5 : description of new features, benchmarking, and impact of forcing uncertainty
David M. Lawrence,Rosie A. Fisher,Charles D. Koven,Keith W. Oleson,Sean Swenson,Gordon B. Bonan,Nathan Collier,Bardan Ghimire,Leo van Kampenhout,Daniel Kennedy,Erik Kluzek,Peter Lawrence,Fang Li,Hongyi Li,Danica Lombardozzi,William J. Riley,William J. Sacks,Mingjie Shi,Mingjie Shi,Mariana Vertenstein,William R. Wieder,William R. Wieder,Chonggang Xu,Ashehad A. Ali,Andrew M. Badger,Gautam Bisht,Michiel R. van den Broeke,Michael A. Brunke,Sean P. Burns,Sean P. Burns,J. R. Buzan,Martyn P. Clark,Anthony Craig,Kyla M. Dahlin,Beth Drewniak,Joshua B. Fisher,Joshua B. Fisher,Mark Flanner,Andrew M. Fox,Pierre Gentine,Forrest M. Hoffman,Gretchen Keppel-Aleks,Ryan G. Knox,Sanjiv Kumar,Jan T. M. Lenaerts,L. Ruby Leung,William H. Lipscomb,Yaqiong Lu,Ashutosh Pandey,Jon D. Pelletier,J. Perket,J. Perket,James T. Randerson,Daniel M. Ricciuto,Benjamin M. Sanderson,Andrew G. Slater,Z. M. Subin,Jinyun Tang,R. Quinn Thomas,Maria Val Martin,Xubin Zeng +60 more
TL;DR: The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems.
Journal ArticleDOI
The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
Jean-Christophe Golaz,Peter M. Caldwell,Luke Van Roekel,Mark R. Petersen,Qi Tang,Jonathan Wolfe,G. W. Abeshu,Valentine G. Anantharaj,Xylar Asay-Davis,David C. Bader,Sterling Baldwin,Gautam Bisht,Peter A. Bogenschutz,Marcia L. Branstetter,Michael A. Brunke,Steven R. Brus,Susannah M. Burrows,Philip Cameron-Smith,Aaron S. Donahue,Michael Deakin,Michael Deakin,Richard C. Easter,Katherine J. Evans,Yan Feng,Mark Flanner,James G. Foucar,Jeremy Fyke,Brian M. Griffin,Cecile Hannay,Bryce E. Harrop,Mattthew J. Hoffman,Elizabeth Hunke,Robert Jacob,Douglas W. Jacobsen,Nicole Jeffery,Philip W. Jones,Noel Keen,Stephen A. Klein,Vincent E. Larson,L. Ruby Leung,Hongyi Li,Wuyin Lin,William H. Lipscomb,William H. Lipscomb,Po-Lun Ma,Salil Mahajan,Mathew Maltrud,Azamat Mametjanov,Julie L. McClean,Renata B. McCoy,Richard Neale,Stephen Price,Yun Qian,Philip J. Rasch,J. E. Jack Reeves Eyre,William J. Riley,Todd D. Ringler,Todd D. Ringler,Andrew Roberts,Erika Louise Roesler,Andrew G. Salinger,Zeshawn Shaheen,Xiaoying Shi,Balwinder Singh,Jinyun Tang,Mark A. Taylor,Peter E. Thornton,Adrian K. Turner,Milena Veneziani,Hui Wan,Hailong Wang,Shanlin Wang,Dean N. Williams,Phillip J. Wolfram,Patrick H. Worley,Shaocheng Xie,Yang Yang,Jin-Ho Yoon,Mark D. Zelinka,Charles S. Zender,Xubin Zeng,Chengzhu Zhang,Kai Zhang,Yuying Zhang,X. Zheng,Tian Zhou,Qing Zhu +86 more
TL;DR: Energy Exascale Earth System Model (E3SM) project as mentioned in this paper is a project of the U.S. Department of Energy that aims to develop and validate the E3SM model.
Journal ArticleDOI
Evaluation of the Reanalysis Products from GSFC, NCEP, and ECMWF Using Flux Tower Observations
TL;DR: In this article, flux tower observations of temperature, wind speed, precipitation, downward shortwave radiation, net surface radiation, and latent and sensible heat fluxes are used to evaluate the performance of various reanalysis products.
Journal ArticleDOI
Which Bulk Aerodynamic Algorithms are Least Problematic in Computing Ocean Surface Turbulent Fluxes
TL;DR: In this article, the authors evaluated and ranked 12 aerodynamic algorithms using direct turbulent flux measurements determined from covariance and inertial-dissipation methods from 12 ship cruises over the tropical and midlatitude oceans (from about 58 St o 608N).
Journal ArticleDOI
An Assessment of the Uncertainties in Ocean Surface Turbulent Fluxes in 11 Reanalysis, Satellite-Derived, and Combined Global Datasets
TL;DR: In this article, the authors evaluated the effect of different flux products on the energy and water cycles of the atmosphere-ocean coupled system and found that the bulk variable-caused uncertainty dominates many products' SH flux and wind stress biases.