In this work, the representation of methane in the atmospheric chemistry model AM4.1 is improved by optimizing total methane emissions (to an annual mean of 576 卤 32 Tg yr-1) to match surface observations over 1980-2017. The simulations with optimized global emissions are i...
git clone --recursive https://github.com/NOAA-GFDL/AM4.git The--recursiveoption togit cloneinstructs git to recursively clone all submodules. In the event the repository was not cloned using the--recursiveoption, the following step must be taken to obtain all sources: ...
The FMScoupler project has a dependency on missing land_model_mod.mod. See NOAA-GFDL/FMScoupler#15. So I am trying to build land_model_mod.mod so that I can get the autotools build for FMScoupler working. However, when I build AM4 accord...
In this two-part paper, a description is provided of a version of the AM4.0/LM4.0 atmosphere/land model that will serve as a base for a new set of climate and Earth system models (CM4 and ESM4) under development at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL). This version, ...
50-km-resolution GFDL AM4 well captures many aspects of observed atmospheric river (AR) characteristics including the probability density functions of AR length, width, length-width ratio, geographical location, and the magnitude and direction of AR mean vertically integrated v...
In Part 2 of this two鈥恜art paper, documentation is provided of key aspects of a version of the AM4.0/LM4.0 atmosphere/land model that will serve as a base for a new set of climate and Earth system models (CM4 and ESM4) under development at NOAA's Geophysical Fluid Dynamics ...
SPEAR (Seamless System for Prediction and EArth System Research) is built from component models recently developed at GFDL-the AM4 atmosphere model, MOM6 ocean code, LM4 land model, and SIS2 sea ice model. The SPEAR models are specifically designed with attributes needed for a prediction model...
The results are used to evaluate nine CMIP6 models and a series of GFDL-AM4.0 model simulations, with the goal of examining the impact of SST diurnal cycle, varying horizontal resolutions, and different microphysics schemes on these two precipitation features. It is found...
We refer to this configuration as AM4㎝G2. This paper describes the configuration of AM4㎝G2, evaluates its performance, and compares it with AM4.0. It is shown that the global simulations with AM4㎝G2 compare favorably with observations and reanalyses. The model skill scores are close to...
Key Points: Two‐moment microphysics with prognostic precipitation and ice nucleation schemes have been implemented in Atmosphere Model version 4.0 (AM4.0), referred to as AM4‐MG2The overall skill scores of AM4‐MG2 are close to AM4.0Improvements include better coastal stratocumulus,...