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Invited research scientist from Alfred-Wegener Institute (AWI) visits the Transregional Collaborative Research Centre 32 (TR32) to talk about the Parallel Data Assimilation Framework (PDAF)

14. + 15.04.2016

Data assimilation is one of the key research aspects within the TR32. Data assimilation allows for the improvement of model predictions by updating the given model state with measurements. Furthermore, data assimilation methods are necessary to produce a reanalysis, which is one goal of the last phase of the TR32. The reanalysis within the framework of TR32 will be run by project Z2 for the Rur catchment area. The aim is to provide a consistent long term data set with constant correction via soil moisture data and water level measurements to get insights about the effect of data assimilation on the water and energy balance in simulations with the terrestrial modeling platform TerrSysMP. Recently, the parallel data assimilation framework PDAF was applied to TerrSysMP by project C6.

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Fig. 1: Thirza van Laar , Poster at AGU 2015
Copyright: Thirza van Laar

AGU (American Geophysical Union) Fall Meeting 2015
14-18 Dec. 2015, San Francisco, United States

The AGU (American Geophyscial Union) Conference is a yearly meeting, held in San Francisco. This year there were approximately 24,000 participants, with this number it is the largest meeting on Earth and Space science in the world. With in total more than 1700 sessions there were a lot of interesting things to hear and to see.

In one of those sessions I presented a poster myself. The session was titled 'Large-Eddy and High-Resolution Simulations for Improved Understanding and Parameterization of Clouds and Boundary Layer Processes'. The focus of the session was on small (subgrid) scale processes (e.g. convection) in the atmosphere and how to represent them.



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Fig. 1: Discussing surprising exercise results.
In front: Johannes Keller (also from IBG-3) and Dorina Walther
Copyright: Hieu Mai

PhD Course “Spatial Uncertainty propagation”
Nov 10-13, 2015, Copenhagen, Denmark

The four-day PhD Course “Spatial Uncertainty Propagation” was organized by the HOBE Center for Hydrology (Denmark) and took place in Copenhagen. Gerard Heuvelink and Sytze de Bruin from Wageningen University taught statistical methods to estimate, propagate and reduce uncertainty to 16 curious PhD students from various countries and research fields. We started the week with an introduction to geostatistics and immediately applied our new knowledge by computing soil pollution risk maps. This efficient iteration between well-prepared lectures and computer exercises accompanied us the whole course.



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Fig. 1: Coffee break discussions, NCAR Green Center
Copyright: Sebastian Knist

The 16th Annual WRF Users' Workshop
15-19 June 2015, Boulder, Colorado, USA

The WRF Users' Workshop annually takes place at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. It brings together both a broad community of users and developers of the Weather Research and Forecasting (WRF) model. This year there were about 200 participants, from PhD Students to Senior Scientists coming from 30 countries, but mostly the USA. Since I'm using WRF for the regional climate simulations being part of my PhD thesis, this Workshop was a great opportunity to learn about new developments and best practices in the broad range of setups as well as to discuss my own model simulation results and research questions.

Jennifer Jefferson report1

Participating in field work at Kleinaltendorf.

3 May – 18 June 2015
Cologne, Germany

The goal of my visit to Germany was to learn more about vegetation measurements and how they relate to variables within land surface models.

Land surface models are commonly used to estimate evapotranspiration (ET) and its energy counterpart latent heat. In order to compute ET these models require several variables to describe vegetation characteristics and dynamics.

Currently, many of these model variables are set as constant values. As vegetation data becomes more readily available we need to think about how this information can be used within land surface models.


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Jennifer L. Jefferson,
TR32 Fellow 2015

We welcome Jennifer Jefferson as a TR32 Fellow from Hydrologic Science and Engineering PhD Program, Colorado School of Mines. She will stay in Cologne/Jülich from 4th May to 18th June 2015 and mainly collaborate with the project D2 in the collection of fluorescence data that will be used as a direct estimate of plant photosynthetic rates and thus can be included in mesoscale models to better constrain vegetation exchange.



For further information, please contact:


tn328 54d609d0981ab

Nadine Horst
(geb. Heinrichs)

IRTG Coordinator

University of Cologne
Institute for
Geophysics and Meteorology

D-50923 Cologne
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  +49 (0)221 470 1629
+49 (0)221 470 5161
icon mail   irtg@tr32.de

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