Tip** points characterize the situation when a system experiences abrupt, rapid, and
sometimes irreversible changes in response to only a gradual change in environmental …

Global climate change projections are subject to substantial modelling uncertainties. A
variety of emergent constraints, as well as several other statistical model evaluation …

In climatological research, the evaluation of climate models is one of the central research
subjects. As an expression of large-scale dynamical processes, global teleconnections play …

African and South American (ASA) wildfires account for more than 70% of global burned
areas and have strong connection to local climate for sub-seasonal to seasonal wildfire …

Lacking the understanding of the first principles leads to the apparent black box attributes of
complex industrial processes. How to understand complex industrial processes from data …

Low-cost air pollution sensors often fail to attain sufficient performance compared with state-
of-the-art measurement stations, and they typically require expensive laboratory-based …

The seasonal and longer-term dynamics of fuel accumulation affect fire seasonality and the
occurrence of extreme wildfires. Failure to account for their influence may help to explain …

Systematic, routine, and comprehensive evaluation of Earth system models (ESMs)
facilitates benchmarking improvement across model generations and identifying the …

El-Niño southern oscillation (ENSO) and Indian Ocean Dipole (IOD) are two well-know
temporal oscillations in the sea surface temperature (SST), which both are thought to …

There is growing use of machine learning algorithms to replicate subgrid parameterization
schemes in global climate models. Parameterizations rely on approximations; thus, there is …