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Summer School on Uncertainty Quantification for Applied Problems

This July I took part in the "BCAM-IMUVA Summer School on Uncertainty Quantification for Applied Problems". The Summer School was held form July 4th to July 7th in Bilbao, on behalf of the Basque Center for Applied Mathematics (BCAM).

Altogether there were about 40 participants from various countries. Our group, predominantly mathematicians, consisted of both PhD students and PostDocs.

Throughout the four days we had four different lectures, given by Prof. Olivier Talagrand (Laboratoire de Météorologie Dynamique, Paris), Prof. Peter Jan van Leeuwen (University of Reading), Prof. Max Gunzburger (Florida State University) and Dr. Michael Betancourt (University of Warwick). Together they gave a very coherent account of the numerical and theoretical aspects of Uncertainty Quantification.

Prof PA Ty Ferre

Prof. P.A. Ty Ferré
Copyright: Christian von Hebel

Prof. P.A. Ty Ferré visited the Forschunsgzentrum Jülich in May 2016

Prof. P.A. Ty Ferré is a full professor in the department of Hydrology and Water Resources at the University of Arizona. He was elected as the Darcy lecturer of the National Groundwater Association for the year 2016. Within this lecture series, I invited Ty Ferré to present his work on ‘Seeing things differently: Rethinking the relationship between data, models, and decision-making’. More information about the Darcy lecture series can be found on the following website: http://www.ngwa.org/foundation/darcy/pages/current-darcy-lecturer.aspx. Ty Ferré gave presentations at the Institute of Bio- & Geosciences, Agrosphere, IBG-3 of the Forschungszentrum Jülich (May, 19th) and at the Institute of Geophysics and Meteorology of Cologne University (May, 20th).




Dr Yakov Pachepsky

Dr. Yakov Pachepsky
Copyright: Yakov Pachepsky

Dr. Yakov Pachepsky visited the Forschunsgzentrum Jülich between May 22 and June 11, 2016

From May 22 to June 11, 2016, Dr. Yakov Pachepsky worked at the Forschungszentrum Jülich as a visiting researcher. Dr. Yakov Pachepsky received his M.Sci. in Mechanics, his Ph.D. in Physics and Mathematics, and his Dr. Sci. in Soil Science, all of which were obtained at the Moscow State University, Russia. Since 1999 he has been working as a research physical scientist at the Hydrology and Remote Sensing Laboratory and as a soil scientist at the Environmental Microbial and Food Safety Lab of the United States Department of Agriculture (USDA) in Beltsville, Maryland.




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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.



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

Precipitation radar Uni Bonn

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