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Data Assimilation Seminar – Professor Serge Guillas [UCL]

We held the 59th Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on 31 May.

The talk was given by Professor Serge Guillas who was visiting us from University College London (UCL). Professor Guillas spoke about current solutions to investigating uncertainties in tsunami impacts, including investigating the potential for landslides as a source of tsunamis in the Western Indian Ocean and the risk of tsunamis from the Makran subduction zone. Part of his research was using very high resolution models to simulate potential tsunamis in these regions and predict seabed deformations and landslide velocities. We wish Professor Guillas well in the future with his research on this very important topic and hope that he will return again soon to R-CCS to update us on his progress. Thank you!

For more information about this and all our DA seminars at RIKEN R-CCS, please see the DA seminar page:

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

Data Assimilation Seminar – Prof. Ming-Cheng Shiue

We held the 58th Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on 7 May.

The seminar was given by Professor Ming-Cheng Shiue from the National Chiao Tung University, Taiwan. He spoke about his research on hybrid, nonlinear continuous data assimilation algorithms for Lorenz systems. He presented his work showing that approximate solutions converge to reference solutions over time provided that only first and second variables of Lorenz systems are synchronized. He also presented research on two continuous and discrete DA algorithms for 2D Navier-Stokes equations, showing how present and past observations at each time step provide a way that new methods could outperform old ones.

We are very grateful to Professor Shiue for visiting us at RIKEN and hope to see him again soon.

For more information about this and all our DA seminars at RIKEN R-CCS, please see the DA seminar page:

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

Data Assimilation Seminar – Dr Atsushi Okazaki [R-CCS]

We held the 57th Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on 25 April.

The talk was given by our very own Dr. Atsushi Okazaki from the Data Assimilation team at RIKEN R-CCS. Dr Okazaki presented his research on testing the feasibility of a a new type of geostationary satellite that would be able to provide continuous space borne precipitation radar observations, similar to those of Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM). Dr. Okazaki has been testing the impact of such observation on numerical weather prediction for a tropical cyclone case. His results showed promising impact on track and intensity forecasts with the assimilation of such observations.

Dr Okazaki has been member of the Data Assimilation team for 3 years but will leave next month to start a new position in the United States . We are very sad to see him leave but wish him all the best in the future and hopefully see him again very soon. Good luck Atsushi!

For more information about this and all our DA seminars at RIKEN R-CCS, please see the DA seminar page:

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

The 56th Data Assimilation Seminar

We held the 56th Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on 1 February.

The talk was given by Dr. Tie Dai from State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics at the Chinese Academy of Sciences.

Dr Dai talked about his work developing an aerosol data assimilation system based on the NICAM model and LETKF. He showed how he has been able to successfully assimilate observations from both the MODIS satellite and Himawari 8 satellite to produce an aerosol analysis for the improvement of short-range aerosol forecasting over Eastern Asia.

We would like to thank Dr Dai very much for visiting us here in Kobe and for the lively discussion about his work! We wish him well with his research in the future.

For more information about this and all our DA seminars at RIKEN R-CCS, please see the DA seminar page:

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

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!

52nd Data Assimilation Seminar – Dr. Tetsuo Nakazawa

We held the 52nd Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on December 19. The seminar talk was given by Dr Tetsuo Nakazawa from Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA).

Dr Nakazawa spoke about his research on tropical cyclone frequency under a warmer climate scenario and why it may be expected that the annual number of tropical cyclones may decrease in the future.

We would like to thank Dr Nakazawa very much for visiting us at RIKEN. We look forward to his next visit!

51st Data Assimilation Seminar – Prof. Roland Potthast

We held the 51st Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on November 13. The seminar talk was given by Professor Roland Potthast from Deutscher Wetterdienst (DWD), the German National Meteorological Service, and University of Reading.

Prof. Potthast spoke about the ICON global and mesoscale model under development at DWD and alongside COSMO partners.

We would like to thank Prof. Potthast very much for visiting us at RIKEN and providing us with a good overview of all the interesting research happening at DWD. We look forward to his next visit to RIKEN.

For details on upcoming DA seminars, please see the following DA seminar page:
http://www.data-assimilation.riken.jp/en/events/da_seminar/index.html.

The 50th Data Assimilation Seminar 25th October

We held the 50th Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on October 25. The seminar talk was given by Dr. Jing-Shan Hong from the Central Weather Bureau (CWB) in Taiwan.

In this seminar Dr. Hong's talked about his research applying a multi-scale blending scheme on continuous cycling radar data assimilation. He showed how using a multi-scale blending scheme he can take advantage of analysis from both a global and regional model to improve the prediction of accumulated rainfall and typhoon track forecasts. He also showed how the blending scheme can be used to remove accumulated bias from continuous cyclic data assimilation.


We would like to thank Dr. Hong very much for visiting us at RIKEN and we look forward to seeing him again in the near future!

For details on upcoming DA seminars, please see the following DA seminar page:
http://www.data-assimilation.riken.jp/en/events/da_seminar/index.html

The 48th and 49th Data Assimilation Seminar 27 July

We held the 48th and 49th Data Assimilation Seminars at RIKEN Center for Computational Science (R-CCS) on July 27.

The first talk was given by Dr. Hironori Arai from the Institute of Industrial Science, University of Tokyo. He has been a visiting scientist with the Data Assimilation team here at RIKEN since May. He discussed his work in developing monitoring systems of greenhouse gas emissions in tropical rice cropping systems based on satellite remote sensing data.

The second talk was given by Professor Pierre Tandeo from IMT Atlantique in France. He presented his work on a review paper he is currently writing about the different methods in data assimilation to estimate the observation error covariance matrix (R) and model error (Q). He also discussed various applications on data-driven methods in geophysics, including a future project where he will be trying to predict the development of rogue ocean waves.

DA seminar group photo

For details, please see the following DA seminar page:

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