Data assimilation: Mathematical and statistical perspectives

By Amit Apte, Christopher Jones, Andrew M. Stuart, Jochen Voss. 2008

96 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/51b2903a76bb1e22f319ec08048d958d9b83cb2b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Andrew M. Stuart
2. Konstantinos C. Zygalakis
3. Kody J. H. Law
4. Simon L. Cotter
5. Heng Xiao

In Global and Planetary Change

1. Andrew M. Stuart
2. Kody J. H. Law
3. Konstantinos C. Zygalakis
4. Simon L. Cotter

In Ocean Engineering

1. Andrew M. Stuart
2. Kody J. H. Law
3. Konstantinos C. Zygalakis
4. Masoumeh Dashti
5. Simon L. Cotter
6. Sari Lasanen
7. Heng Xiao

Citations in the corpus

• Bayesian inverse problems for functions and applications to fluid mechanics (2009, background): “Recent mathematical overviews of the subject of data assimilation in fluid mechanics include [3, 53].”
• Data Assimilation: A Mathematical Introduction (2015, background): “The article [60] is a useful one to read because it establishes a notation which is now widely used in the applied communities and the articles [90, 6] provide simple introductions to various aspects of the subject from a mathematical perspective.”