Cloud computing has become increasingly popular in recent years, evolving into a
computing paradigm that is both cost-effective and efficient. It has the potential to be one of …

It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

The rapid pace of innovation in biological imaging and the diversity of its applications have
prevented the establishment of a community-agreed standardized data format. We propose …

The response of severe convective storms to a warming climate is poorly understood outside
of a few well studied regions. Here, projections from seven global climate models from the …

Coupled climate simulations that span several hundred years cannot be run at a high‐
enough spatial resolution to resolve mesoscale ocean dynamics. Recently, several studies …

Global ocean oxygen loss is projected to persist in the future, but Earth system models
(ESMs) have not yet provided a consistent picture of how it will influence the largest oxygen …

It has been hypothesized that submesoscale flows play an important role in the vertical
transport of climatically important tracers, due to their strong associated vertical velocities …

We describe a new way to apply a spatial filter to gridded data from models or observations,
focusing on low‐pass filters. The new method is analogous to smoothing via diffusion, and …

Recent advances in cloud-based remote sensing platforms have revoluted the routines for
remote sensing big data (RSBD) analysis. However, it is challenging to make user-defined …

While most models agree that the Atlantic meridional overturning circulation (AMOC)
becomes weaker under greenhouse gas emission and is likely to weaken over the twenty …