月別アーカイブ: 2019年1月

The 54th and 55th Data Assimilation Seminar

We held the 54th and 55th Data Assimilation Seminars at RIKEN Center for Computational Science (R-CCS) on January 28.

The first talk was given by Dr. Alison Fowler from the University of Reading (UK), who spoke about observation error correlations and how we might apply data compression techniques that retain maximum information content of the observations, allowing us to use more observations in our data assimilation.

The second talk was given by Jemima Tabeart, also from the University of Reading. She spoke about available reconditioning methods that can be used to improve the condition number of correlated matrices. She found that she could improve the convergence by introducing correlated observation error covariance matrices with only small changes to retrieved variables.

We would like to thank Alison and Jemima for visiting us here at RIKEN R-CCS and giving two very interesting talks on observation error covariance matrix estimation – a very important topic in this era of Big Data!  

For details, please see the following DA seminar page:

http://www.data-assimilation.riken.jp/en/events/da_seminar/index.html

53rd DA Seminar – Dr Eugenia Kalnay

We held the 53rd Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on January 18. The seminar talk was given by Dr Eugenia Kalnay from the University of Maryland.

Dr Kalnay spoke about how wind and solar farms may lead to unintended climate changes caused by changes to land surface properties. She showed using a climate model how a large scale installation of wind and solar farms across the Sahara would lead to a local temperature increase and precipitation increase, which could have a positive impact on vegetation.

We would like to thank Dr Kalnay very much for visiting us again in Kobe and for the many great discussions we had with her during her stay. We look forward to welcoming her again to R-CCS soon!