We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …

There has been great progress in data assimilation within atmospheric and oceanographic
sciences during the last couple of decades. In data assimilation, one aims at merging the …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

The recent emergence of low-cost microsensors measuring various air pollutants has
significant potential for carrying out high-resolution mapping of air quality in the urban …

地理学中的许多分支学科均涉及到在时空中变化的变量的处理, 因此, 传统的地统计方法需要
拓展出能对时空变化进行估计和定量的方法, 并将其应用于时空插值和随机模拟 …

In the last decade, ensemble-based methods have been widely investigated and applied for
data assimilation of flow problems associated with atmospheric physics and petroleum …

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 …

Parameter identification is an essential step in constructing a groundwater model. The
process of recognizing model parameter values by conditioning on observed data of the …

We explore and review the value of soil moisture measurements in vadose zone hydrology
with a focus on the field and catchment scales. This review is motivated by the increasing …

This book contains a up-to-date overview of nonlinear time series models and their
application to modelling economic relationships. It considers nonlinear models in stationary …