Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …

Recent coordinated efforts, in which numerous climate models have been run for a common
set of experiments, have produced large datasets of projections of future climate for various …

Recent coordinated efforts, in which numerous general circulation climate models have
been run for a common set of experiments, have produced large datasets of projections of …

It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …

An “offline” approach to DA is used, where static ensemble samples are drawn from existing
CMIP climate‐model simulations to serve as the prior estimate of climate variables. We use …

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 …

This paper reviews the development of the ensemble Kalman filter (EnKF) for atmospheric
data assimilation. Particular attention is devoted to recent advances and current challenges …

Imagine you are hosting a garden party tomorrow and you are trying to decide whether or
not to put up a tent against the rain. You read the weather forecast in the newspaper and you …

With the rapid development of satellite remote sensing technology, carbon-cycle research,
as a key focus of global climate change, has also been widely developed in terms of carbon …

Recent studies have started to explore coupled data assimilation (CDA) in coupled ocean–
atmosphere models because of the great potential of CDA to improve climate analysis and …