March 30-31, 2023: National Earth System Modeling (
natESM) Strategy workshop (natESM) at Berlin, Germany, see
https://nat-esm.de/. The ICON model is chosen as core component of the national ESM strategy.
March 21-24, 2023: Leadership meeting of Research and Development Department Heads at the Meteorological Observatory Lindenberg, Germany
March 17, 2023: DWD ITMS Workshop, Offenbach, Germany (International Greenhouse Gas Monitoring System)
Web.
March 15, 2023: Coordination Group Numerical Weather Prediction (KG-NWV) at DWD
March 9-11, 2023:
Village AI at Global Industrie 2023 a Lyon, France, with Podium Discussion on AI Innovation and with a Presentation of our CONTRAILS AI Project
Web
March 6-9, 2023:
ICCARUS Workshop (=ICON COSMO CLM ART User Seminar) at DWD, Offenbach, Germany with a survey presentation on the NWP development at DWD
Web. ICCARUS is our main research focussed development workshop for the ICON model.
Feb 15-16, 2023: DWD Department Heads Retreat in Braunschweig, Germany
Feb 13-14, 2023: ICON Licence Working Group Meeting Munich
Feb 13, 2023: ICON Board Meeting
Previous News News RP 2022, News RP 2021, News RP 2020, News RP 2019, News RP 2018, News RP 2017, News RP 2016.
Our department FE1 for Numerical Weather Prediction (NWP) of the German Weather Service (DWD) consists of about 120 scientists at DWD headquarters in Offenbach close to Frankfurt/Main and in Potsdam close to Berlin, about 60 of them on funded R&D projects. The department consists of four sections, with 20-25 scientists each:
Data Assimilation and Predictability (FE11),
Observations Modeling and Verification (FE12),
Numerical Modeling (FE13),
Physical Processes and Dispersion (FE14).
DWD is a part of the German Ministery of Transport and Digital Infrastructure (BMVI), but our work is carried out in intensive cooperation with
the
Max-Planck-Institute for Meteorology MPI-M, see also
ICON,
the
German Climate Computing Center DKRZ,
the
Karlsruhe Institute of Technology KIT, in particular with
ICON-ART,
ETH Zurich, in particular
C2SM,
the weather services of the
COSMO Consortium (Italy, Switzerland, Russia, Poland, Romania, Greece and Israel),
the Meteorological Service of the German Armee
Geo BW, see also
PDF,
the
Hans-Ertel Center HErZ research branches at the Universities of Munich, Bonn, Frankfurt, Hamburg, Berlin
and further international partners such as the
European Centre for Medium Range Weather Forecasting ECMWF located in Reading, Bologna and Bonn.
EUMETSAT, in particular the
NWP-SAF Consortium with the Partners MetOffice (UK), Meteo-France, ECMWF and DWD.
We are working on modeling and data assimilation for numerical weather prediction (NWP) and earth system simulation (ESM).
Our main task is to provide operational data assimilation and forecasting with
ICON-global, i.e. a global NWP-model with 13km resolution, 120 layers 75km height, run every 3 hours 24/7,
ICON-EU, i.e. its mesoscale two-way-nesting area over Europe with 6.5km resolution and the
ICON-D2, i.e. high-resolution convection-permitting analysis and forecasts over central Europe with 2km resolution, 24km height analysis every hour 24/7, forecasts every three hours.
We prepare a rapid update cycle (RUC) with forecasts every hour in integration with Nowcasting techniques. This system is called
Our development and services include ensemble data assimilation for the ensemble prediction systems
ICON-EPS global with 26 km resolution and 40 members and
ICON-EU-EPS with 13km resolution over Europe with 40 members as well as
ICON-D2-EPS with 2km resolution over central Europe, 40 members.
ICON-D1 and ICON-D05 with 1km resolution and 500m resolution is under development.
We run a
hybrid ensemble-variational data assimilation scheme (EnVar) globally, i.e. a variational data assimilation scheme, coupled with an Localized Ensemble Transform Kalman Filter (LETKF).
For ICON-D2 we employ the four-dimensional version of the Localized Ensemble Transform Kalman Filter (4D-LETKF).
Further,
Particle filters, in particular the Localized Adaptive Particle Filter LAPF and Localized Mixture Coefficients Particle Filter LMCPF are available for global and regional scale and are being used for research within the operational framework.
EnVar for convective-scale ICON-D2 is under development,
4D-EnVAR for both global and regional systems
an ultra-rapid data assimilation scheme (URDA) based on our ensemble and also
a coarse EnVar (cEnVar) using our global ensemble for regional ensemble data assimilation world-wide are being developed and tested.
Data Assimilation includes the use of a broad varity of both direct and remote sensing measurements
from
Ground Stations and Ships (SYNOP),
Radio Sondes (TEMP) and dropsondes,
Buoys,
Air Planes (AMDAR, AIREP, ACAR, …),
Atmospheric Motion Vectors (AMV),
Scatterometers (SCAT),
Infrared Sounders (IR),
Microwave Sounders (MW) and Microwave Radiometers (MWR),
LIDAR including Clound Bottom Height (CBH), Cloud Top Height (CTH), Backscatter Profiles, Line-of-Sight Winds (AEOLUS), Ceilometers,
RADAR including RADAR Radial Winds, RADAR Reflectivity and RADAR Dual Polarization,
GPS/GNSS including Radio Occultations (RO), Zenith Total Delay (ZTD), Slant Total Delay (STD),
Cameras,
Cars.
Geostationary satellites and polar orbiting satellites
are used operationally, while a lot of research is going into the better use of
hyperspectral observations (many thousand frequencies per observed atmospheric column) in particular over land and in cloudy situations. The observation and reconstruction
of snow, ice, sea surface temperature, land surface temperature, coverage, emissivity and soil moisture is a very active area of research. Also, the observation and data assimilation of
clouds and convective processes with high-impact phenomena
such as thunderstorms, heavy rain and wind gusts with lead times from minutes to days is a special
focus of our research.
The research of our group at the University of Reading, UK, is concerned with
inverse problems and data assimilation in three areas:
numerical weather prediction (NWP),
cognitive neuroscience / neural field theory (NFT),
inverse scattering problems / remote sensing.
These are extremely exciting areas scientifically and very important for society,
for example for air traffic control, severe weather warnings and
national energy supply,
in medicine by medical imaging and for many
industrial and environmental questions.