A. R. Langenhorst

发表

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3

Ramaswamy, Naik, S. Klein, 2011 .

GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics

S. Klein, K. Findell, P. Kushner, 2006 .

The GFDL Global Ocean and Sea Ice Model OM4.0: Model Description and Simulation Features

Chris Blanton, V. Balaji, Andrew T. Wittenberg, 2019, Journal of Advances in Modeling Earth Systems.

The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies

J. R. Wilson, S. Malyshev, V. Ramaswamy, 2018 .

The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs

J. R. Wilson, S. Malyshev, V. Ramaswamy, 2018 .

Seismic properties of the Eltanin Transform System, South Pacific

E. Okal, A. R. Langenhorst, 2000 .

The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations

S. Klein, P. Kushner, S. Malyshev, 2004 .

Correlation of β‐Value with Spreading Rate for Strike‐Slip Earthquakes of the Mid‐Oceanic Ridge System

E. Okal, A. R. Langenhorst, 2013 .

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component of the GFDL global coupled model CM3

S. Griffies, E. Shevliakova, T. Delworth, 2010 .

Supporting Information for 1 “ The GFDL Global Atmosphere and Land Model AM 4 . 0 / LM 4 . 0 2 – Part II : Model Description , Sensitivity Studies , and Tuning ”

J. R. Wilson, S. Malyshev, V. Ramaswamy, 2018 .

Exchanges Exchanges Newsletter of the Climate Variability and Predictability Programme (clivar) Newsletter of the Climate Variability and Predictability Programme (clivar) Furthering the Science of Ocean Climate Modelling Global Ocean Modeling in the Eddying Regime Using Pop

K. Findell, G. Danabasoglu, B. Fox‐Kemper, 2022 .