Fifty years of research on the Madden‐Julian Oscillation: Recent progress, challenges, and perspectives

X Jiang, ÁF Adames, D Kim… - Journal of …, 2020 - Wiley Online Library
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation
(MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate …

Future changes to the intensity and frequency of short‐duration extreme rainfall

S Westra, HJ Fowler, JP Evans… - Reviews of …, 2014 - Wiley Online Library
Evidence that extreme rainfall intensity is increasing at the global scale has strengthened
considerably in recent years. Research now indicates that the greatest increases are likely …

Enforcing analytic constraints in neural networks emulating physical systems

T Beucler, M Pritchard, S Rasp, J Ott, P Baldi… - Physical Review Letters, 2021 - APS
Neural networks can emulate nonlinear physical systems with high accuracy, yet they may
produce physically inconsistent results when violating fundamental constraints. Here, we …

Evaluation of climate models

G Flato, J Marotzke, B Abiodun, P Braconnot… - Climate change 2013 …, 2014 - pure.mpg.de
Climate models have continued to be developed and improved since the AR4, and many
models have been extended into Earth System models by including the representation of …

Could machine learning break the convection parameterization deadlock?

P Gentine, M Pritchard, S Rasp… - Geophysical …, 2018 - Wiley Online Library
Representing unresolved moist convection in coarse‐scale climate models remains one of
the main bottlenecks of current climate simulations. Many of the biases present with …

Earth system modeling 2.0: A blueprint for models that learn from observations and targeted high‐resolution simulations

T Schneider, S Lan, A Stuart… - Geophysical Research …, 2017 - Wiley Online Library
Climate projections continue to be marred by large uncertainties, which originate in
processes that need to be parameterized, such as clouds, convection, and ecosystems. But …

Global cloud-resolving models

M Satoh, B Stevens, F Judt, M Khairoutdinov… - Current Climate Change …, 2019 - Springer
Abstract Purpose of Review Global cloud-resolving models (GCRMs) are a new type of
atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale …

Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization

AP Khain, KD Beheng, A Heymsfield… - Reviews of …, 2015 - Wiley Online Library
Most atmospheric motions of different spatial scales and precipitation are closely related to
phase transitions in clouds. The continuously increasing resolution of large‐scale and …

[PDF][PDF] Climate models and their evaluation

DA Randall, RA Wood, S Bony, R Colman… - Climate change 2007 …, 2007 - pure.mpg.de
This chapter assesses the capacity of the global climate models used elsewhere in this
report for projecting future climate change. Confidence in model estimates of future climate …

Status and prospects for drought forecasting: Opportunities in artificial intelligence and hybrid physical–statistical forecasting

A AghaKouchak, B Pan… - … of the Royal …, 2022 - royalsocietypublishing.org
Despite major improvements in weather and climate modelling and substantial increases in
remotely sensed observations, drought prediction remains a major challenge. After a review …