月別アーカイブ: 2018年11月

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.

第51回データ同化セミナー (11月13日)のご案内

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。
http://data-assimilation.riken.jp/en/events/da_seminar/

以下、詳細です。

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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.

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