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BIMoS Days

Each BIMoS Day is devoted to introducing a broad scientific audience to a novel methodology with a wide range of applications.

The BIMoS Members may download the presentation slides and recordings from the BIMoS Days here.

Monday, June 26, 2017

BIMoS Day "Dynamical Downscaling of Global Atmospheric Data" by Prof. Dr. Dieter Scherer (Chair of Climatology, TU Berlin)

16:15 Prof. Dr. Dieter Scherer: Reconstruction of weather and climate in data-sparse regions

Despite the technological improvements that haven taken place particularly since 2000, there are still many regions in the world where data on weather and climate are very sparse or even completely missing. Existing global observational data sets are still too coarse to be suitable for geo-scientific research and applications. Therefore, we have developed a new methodology for reconstruction of weather and climate data for any region of the world, which is based on utilising a model for numerical weather prediction for dynamical downscaling of global atmospheric (re-)analysis data sets. The methodology will be presented and discussed, and a number of research projects for which we have produced gridded weather and climate data at high temporal and spatial resolution will be briefly introduced in this talk. Two of the projects will be presented in the following talks. Some challenges remain to be solved in the future, especially with respect to validation of downscaling results by independent observational data. Nevertheless, the methodology offers high potential for future research and development in geo-sciences.

17:15 Dr. Marco Otto: The High Asia Refined analysis (HAR) data set

High Asia covers the Tibetan Plateau and its surrounding high mountain ranges of the Himalayas, the Karakoram, the Pamir and Tien Shan, amongst others. Due to its mean elevation of about 4500 m above sea level, only few climate stations have been installed and operated, thus High Asia is one of the most prominent regions of the world where observational atmospheric data is very sparse. Gridded atmospheric data, the so- called High Asia Refined analysis (HAR) data set, have been produced by dynamical downscaling of global data from the FNL data set. So far, the HAR data set covers the period from 2001 to 2015 at 30 km grid spacing for South and Central Asia, and at 10 km grid spacing for the core region of High Asia. For the drainage basin of Lake Nam Co (central Tibetan Plateau) HAR data also comprises gridded data at 2 km grid spacing. A number of research projects have contributed to and utilised the HAR data set. New research projects will further extend and improve the HAR data set, which is freely available at www.klima.tu-berlin.de/HAR and used by many national and international researchers.

17:35 Achim Holtmann: The Central Europe Refined analysis (CER) data set

Central Europe is one of the regions in the world where the density of weather and climate stations is comparably high. Nevertheless, long-term observational data from cities are highly limited even in Germany. For instance, there are only a few long-term weather stations within Berlin which do not allow for a detailed analysis of intra-urban climate variability. We have therefore utilised dynamical downscaling of global ERA Interim data to generate gridded atmospheric data, the so-called Central Europe Refined analysis (CER) data set, covering entire Europe (30 km grid spacing), Central Europe (10 km grid spacing), and Berlin-Brandenburg (2 km grid spacing) for the period of 2001 up to 2015. CER data has been thoroughly compared with observational data, and is used for urban climatological research. In the future, we will continuously update the CER data set, perform in-depth validation studies, and apply the data for a multitude of research and development activities.





Previous BIMoS Days:

Summer term 2017

BIMoS Day "Low-dimension geometry and effective dynamics of complex systems" by Prof. Dr. Christof Schütte

BIMoS Day "Shallow Water Flow Simulations" by Prof. Dr.-Ing. Reinhard Hinkelmann


Winter term 2016/17

"Mixture Models as Tools for Complex Classification Problems" by Prof. Dr. Stefan Weinzierl and Prof. Dr. Axel Werwatz

"From Fluids to Models - and back" by Prof. Dr. Jörn Sesterhenn

"Numerical experiments on turbulence" by Prof. Dr. Wolf-Christian Müller


Summer term 2016

"Fluid Simulation by Schrödinger's Equation" by Prof. Dr. Ulrich Pinkall

"Probabilistic and Bayesian Data Modeling" by Prof. Dr. Manfred Opper


Winter term 2015/16

"Multiscale Modeling" by Prof. Dr. Barbara Wagner

"Hierarchical Tensor for High-Dimensional Problems" by Prof. Dr. Reinhold Schneider (TU Berlin) and Prof. Dr. André Uschmajew (U Bonn)

"Combinatorial Optimization and Efficient Algorithms" by Prof. Dr. Martin Skutella


Summer term 2015

"Model Reduction" by Prof. Dr. Volker Mehrmann

"Machine Learning" by Prof. Dr. Klaus-Robert Müller

"Compressed Sensing" by Prof. Dr. Gitta Kutyniok

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Technische Universität Berlin
Berlin International Graduate School for Model and Simulation based Research (BIMoS)
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