Fifty years of research on the Madden‐Julian Oscillation: Recent progress, challenges, and perspectives
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 …
(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
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 …
considerably in recent years. Research now indicates that the greatest increases are likely …
Enforcing analytic constraints in neural networks emulating physical systems
Neural networks can emulate nonlinear physical systems with high accuracy, yet they may
produce physically inconsistent results when violating fundamental constraints. Here, we …
produce physically inconsistent results when violating fundamental constraints. Here, we …
Evaluation of climate models
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 …
models have been extended into Earth System models by including the representation of …
Could machine learning break the convection parameterization deadlock?
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 …
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
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 …
processes that need to be parameterized, such as clouds, convection, and ecosystems. But …
Global cloud-resolving models
Abstract Purpose of Review Global cloud-resolving models (GCRMs) are a new type of
atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale …
atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale …
Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization
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 …
phase transitions in clouds. The continuously increasing resolution of large‐scale and …
[PDF][PDF] Climate models and their evaluation
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 …
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
Despite major improvements in weather and climate modelling and substantial increases in
remotely sensed observations, drought prediction remains a major challenge. After a review …
remotely sensed observations, drought prediction remains a major challenge. After a review …