[HTML][HTML] Machine learning for numerical weather and climate modelling: a review

CO de Burgh-Day… - Geoscientific Model …, 2023 - gmd.copernicus.org
Abstract Machine learning (ML) is increasing in popularity in the field of weather and climate
modelling. Applications range from improved solvers and preconditioners, to …

[HTML][HTML] Attributing historical and future evolution of radiative feedbacks to regional warming patterns using a Green's function approach: The preeminence of the …

Y Dong, C Proistosescu, KC Armour… - Journal of …, 2019 - journals.ametsoc.org
Attributing Historical and Future Evolution of Radiative Feedbacks to Regional Warming
Patterns using a Green’s Function Approach: The Preeminence of the Western Pacific in …

Understanding cloud and convective characteristics in version 1 of the E3SM atmosphere model

S Xie, W Lin, PJ Rasch, PL Ma, R Neale… - Journal of Advances …, 2018 - Wiley Online Library
This study provides comprehensive insight into the notable differences in clouds and
precipitation simulated by the Energy Exascale Earth System Model Atmosphere Model …

Community integrated earth system model (CIESM): description and evaluation

Y Lin, X Huang, Y Liang, Y Qin, S Xu… - Journal of Advances …, 2020 - Wiley Online Library
A team effort to develop a Community Integrated Earth System Model (CIESM) was initiated
in China in 2012. The model was based on NCAR Community Earth System Model (Version …

Improved diurnal cycle of precipitation in E3SM with a revised convective triggering function

S Xie, YC Wang, W Lin, HY Ma, Q Tang… - Journal of Advances …, 2019 - Wiley Online Library
We revise the convective triggering function in Department of Energy's Energy Exascale
Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1) by introducing a …

Anthropogenic combustion iron as a complex climate forcer

H Matsui, NM Mahowald, N Moteki, DS Hamilton… - Nature …, 2018 - nature.com
Atmospheric iron affects the global carbon cycle by modulating ocean biogeochemistry
through the deposition of soluble iron to the ocean. Iron emitted by anthropogenic (fossil …

Sensitivity of remote aerosol distributions to representation of cloud–aerosol interactions in a global climate model

H Wang, RC Easter, PJ Rasch, M Wang… - Geoscientific Model …, 2013 - gmd.copernicus.org
Many global aerosol and climate models, including the widely used Community Atmosphere
Model version 5 (CAM5), have large biases in predicting aerosols in remote regions such as …

Adapting observationally based metrics of biogeophysical feedbacks from land cover/land use change to climate modeling

L Chen, PA Dirmeyer - Environmental Research Letters, 2016 - iopscience.iop.org
To assess the biogeophysical impacts of land cover/land use change (LCLUC) on surface
temperature, two observation-based metrics and their applicability in climate modeling were …

A numerical study of the effect of different aerosol types on East Asian summer clouds and precipitation

Y Jiang, X Liu, XQ Yang, M Wang - Atmospheric Environment, 2013 - Elsevier
In this study, the anthropogenic aerosol impact on the summer monsoon clouds and
precipitation in East Asia is investigated using the NCAR Community Atmospheric Model …

Detecting climate signals using explainable AI with single‐forcing large ensembles

ZM Labe, EA Barnes - Journal of Advances in Modeling Earth …, 2021 - Wiley Online Library
It remains difficult to disentangle the relative influences of aerosols and greenhouse gases
on regional surface temperature trends in the context of global climate change. To address …