データ同化研究チーム Data Assimilation Research Team 2018年の新着情報

11/13のデータ同化セミナーについてのご案内です。 今回のセミナーでは、Prof. Roland Potthast (DWD/U of Reading)よりご講演頂きます。
※どなたでもご参加いただけますが、入館に手続きが必要なため、事前に下記までご連絡をお願い致します。
da-seminar(please remove here)@riken.jp
以下URLに随時情報を更新しています。 https://www.data-assimilation.riken.jp/en/events/da_seminar/
以下、詳細です。

• Date： Tuesday 13 November 2018, 10:30-12:00
• Place： Room - R104-2 at R-CCS
• Language: English
• Speaker： Prof. Roland Potthast (DWD/U of Reading)
• Title: New Observations and Algorithmic Developments for Convective Scale Ensemble Data Assimilation
• Abstract: We first present the setup of the ensemble data assimilation (EDA) and forecasting systems (EPS) which have been developed and are under development at the German Weather Service DWD and its COSMO partners. This is first the ICON global+mesoscale model (two-way nested), 13km/6.5km resolution, with its hybrid ensemble variational data assimilation (LETKF+EnVAR) run on a 3h cycle,and the ensemble prediction system ICON EPS. Second, this system drives the high-resolution ensemble data assimilation system COSMO-KENDA (Kilometer Scale Ensemble Data Assimilation) with 2.2km operational resolution at DWD and up to 1km resolution at further members of the COSMO consortium (Germany, Switzerland, Italy, Russia, Poland, Romania, Greece and Israel) to provide initial conditions for the high-resolution ensemble forecasting systems, e.g. the operational COSMO-D2-EPS or experimental ICON-LAM EPS. The system is also successfully run on GPU based supercomputers. The core task of the talk is to discuss recent and current developments on new observations and on new algorithmic developments on the convective scale, but many of them relevant for global NWP as well. We discuss recent insight into the importance of quality control, report on the large success and positive impact of Mode-S data assimilation, discuss the assimilation of RADAR radial winds and reflectivity with an ensemble Kalman filter and finally report on some initial tests on the assimilation of visible channels SEVIRI VIS on the convective scale. Second, we will discuss new algorithmical developments, in particular aspects of 4D-LETKF versus 3D-LETKF and initial tests on the ICON-LAM data assimilation with the KENDA system. Then, we present the particle filter for global or convective scale EDA as well as ultra-rapid data assimilation (URDA) on a scale of minutes imbedded into an operational rapid update cycle (RUC) of a convection resolving model.