@incollection{ElmerBiemeltGerwinetal., author = {Elmer, Michael and Biemelt, Detlef and Gerwin, Werner and Hoberg, Karin and Kleeberg, Andreas and Lessmann, Dieter and Schaaf, Wolfgang and Schneider, Anna and Zaplata, Markus K. and H{\"u}ttl, Reinhard F.}, title = {Conclusions}, series = {The artificial catchment Chicken Creek - initial ecosystem development 2005-2010}, booktitle = {The artificial catchment Chicken Creek - initial ecosystem development 2005-2010}, editor = {Elmer, Michael and Schaaf, Wolfgang and Biemelt, Detlef and Gerwin, Werner and H{\"u}ttl, Reinhard F.}, publisher = {FZLB}, address = {Cottbus}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus-23730}, pages = {145 -- 153}, language = {en} } @article{HuettlGerwin, author = {H{\"u}ttl, Reinhard F. and Gerwin, Werner}, title = {Landscape and ecosystem development after disturbance by mining}, series = {Ecological Engineering}, volume = {24}, journal = {Ecological Engineering}, number = {1-2}, issn = {0925-8574}, pages = {1 -- 3}, language = {en} } @article{HuettlGerwin, author = {H{\"u}ttl, Reinhard F. and Gerwin, Werner}, title = {Gest{\"o}rte Kulturlandschaften - Neue Landschaften - Ideen f{\"u}r Neue Nutzungen}, language = {de} } @article{HuettlBensGerwin, author = {H{\"u}ttl, Reinhard F. and Bens, Oliver and Gerwin, Werner}, title = {Wiederherstellung von Kulturlandschaften nach St{\"o}rung - Eine Zukunftsaufgabe}, language = {de} } @misc{MoghadasSchaafGerwinetal., author = {Moghadas, Davood and Schaaf, Wolfgang and Gerwin, Werner and Badorreck, Annika and H{\"u}ttl, Reinhard F.}, title = {Chicken Creek data portal: a web-based R-Shiny platform for terrestrial data repository}, series = {Geophysical Research Abstracts}, volume = {21}, journal = {Geophysical Research Abstracts}, pages = {1}, abstract = {Exploring hydrological and ecological processes plays a key role in understanding ecosystem development. In this respect, the constructed catchment, Chicken Creek (H{\"u}hnerwasser), has been established to promote fundamental and interdisciplinary scientific research. Since 2005, an on-going monitoring program has been established in this catchment to measure hydrological, biological, meteorological, and pedological parameters during the ecological development of the site. This comprehensive and multidisciplinary monitoring program has produced a large and diverse data set. Managing and exploring such a complex data set for research purposes can be a cumbersome task. As a consequence, we developed an online data portal https://www.b-tu.de/chicken-creek/apps/datenportal/ to efficiently handle the data from Chicken Creek catchment. The portal was constructed using R programming language, Shiny package, and the accompanying local Linux server. This platform allows for efficient data discovery, download, visualization, and analysis. Data visualizations are freely available, while data storage is limited to the authorized users. In comparison with the commonly used data base tools, R-Shiny offers several advantages. As an open source package, this platform allows for constructing a web data platform in an interactive way taking into account the complexity and diversity of the data. The flexibility of this routine enables to make an efficient user-demand data portal rather than relying on predetermined outputs. It also offers flexibility in data handling by using many different R packages, rendering versatile and extensive functionalities. R-Shiny is particularly powerful in terms of statistical analyses. Although the Chicken Creek online data portal is complete and available, new features, and extended capabilities are under active development. The Chicken Creek data portal provides a comprehensive and reliable database to give scientists a fast and easy access to all collected data. Consequently, R-Shiny offers a great potential for future development of the web-based data portals to efficiently handle scientific data collected at different scales.}, language = {en} } @inproceedings{HuettlGerwin, author = {H{\"u}ttl, Reinhard F. and Gerwin, Werner}, title = {Investigating point zero: The artificial catchment "Chicken Creek" as an observatory to study critical zone structures and processes of the critical zone in an initial ecosystem}, series = {EGU General Assembly 2010, held in Vienna, Austria, 02 - 07 May 2010}, booktitle = {EGU General Assembly 2010, held in Vienna, Austria, 02 - 07 May 2010}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, language = {en} } @misc{BoehmKueckenHauffeetal., author = {B{\"o}hm, Uwe and K{\"u}cken, Martin and Hauffe, Detlef and Gerstengarbe, F.-W. and Werner, P. C. and Flechsig, Michael and Keuler, Klaus and Block, Alexander and Ahrens, Wilfried and Nocke, Th.}, title = {Reliability of regional climate model simulations of extremes and of long-term climate}, series = {Natural Hazards and Earth System Sciences}, volume = {4}, journal = {Natural Hazards and Earth System Sciences}, number = {3}, doi = {10.5194/nhess-4-417-2004}, pages = {417 -- 431}, abstract = {We present two case studies that demonstrate how a common evaluation methodology can be used to assess the reliability of regional climate model simulations from different fields of research. In Case I, we focused on the agricultural yield loss risk for maize in Northeastern Brazil during a drought linked to an El-Ni{\~n}o event. In Case II, the present-day regional climatic conditions in Europe for a 10-year period are simulated. To comprehensively evaluate the model results for both kinds of investigations, we developed a general methodology. On its basis, we elaborated and implemented modules to assess the quality of model results using both advanced visualization techniques and statistical algorithms. Besides univariate approaches for individual near-surface parameters, we used multivariate statistics to investigate multiple near-surface parameters of interest together. For the latter case, we defined generalized quality measures to quantify the model's accuracy. Furthermore, we elaborated a diagnosis tool applicable for atmospheric variables to assess the model's accuracy in representing the physical processes above the surface under various aspects. By means of this evaluation approach, it could be demonstrated in Case Study I that the accuracy of the applied regional climate model resides at the same level as that we found for another regional model and a global model. Excessive precipitation during the rainy season in coastal regions could be identified as a major contribution leading to this result. In Case Study II, we also identified the accuracy of the investigated mean characteristics for near-surface temperature and precipitation to be comparable to another regional model. In this case, an artificial modulation of the used initial and boundary data during preprocessing could be identified as the major source of error in the simulation. Altogether, the achieved results for the presented investigations indicate the potential of our methodology to be applied as a common test bed to different fields of research in regional climate modeling.}, language = {en} }