TY - CHAP A1 - Elmer, Michael A1 - Biemelt, Detlef A1 - Gerwin, Werner A1 - Hoberg, Karin A1 - Kleeberg, Andreas A1 - Lessmann, Dieter A1 - Schaaf, Wolfgang A1 - Schneider, Anna A1 - Zaplata, Markus K. A1 - Hüttl, Reinhard F. ED - Elmer, Michael ED - Schaaf, Wolfgang ED - Biemelt, Detlef ED - Gerwin, Werner ED - Hüttl, Reinhard F. T1 - Conclusions T2 - The artificial catchment Chicken Creek - initial ecosystem development 2005-2010 KW - Hühnerwasser KW - Künstliches Wassereinzugsgebiet Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus-23730 SP - 145 EP - 153 PB - FZLB CY - Cottbus ER - TY - JOUR A1 - Hüttl, Reinhard F. A1 - Gerwin, Werner T1 - Landscape and ecosystem development after disturbance by mining JF - Ecological Engineering Y1 - 2005 SN - 0925-8574 VL - 24 IS - 1-2 SP - 1 EP - 3 ER - TY - JOUR A1 - Hüttl, Reinhard F. A1 - Gerwin, Werner T1 - Gestörte Kulturlandschaften - Neue Landschaften - Ideen für Neue Nutzungen Y1 - 2004 ER - TY - JOUR A1 - Hüttl, Reinhard F. A1 - Bens, Oliver A1 - Gerwin, Werner T1 - Wiederherstellung von Kulturlandschaften nach Störung - Eine Zukunftsaufgabe Y1 - 2004 ER - TY - GEN A1 - Moghadas, Davood A1 - Schaaf, Wolfgang A1 - Gerwin, Werner A1 - Badorreck, Annika A1 - Hüttl, Reinhard F. T1 - Chicken Creek data portal: a web-based R-Shiny platform for terrestrial data repository T2 - Geophysical Research Abstracts N2 - Exploring hydrological and ecological processes plays a key role in understanding ecosystem development. In this respect, the constructed catchment, Chicken Creek (Hühnerwasser), 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. Y1 - 2019 UR - https://meetingorganizer.copernicus.org/EGU2019/EGU2019-3270.pdf VL - 21 ER - TY - CHAP A1 - Hüttl, Reinhard F. A1 - Gerwin, Werner T1 - 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 T2 - EGU General Assembly 2010, held in Vienna, Austria, 02 – 07 May 2010 Y1 - 2010 N1 - EGU2010-6950 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - GEN A1 - Böhm, Uwe A1 - Kücken, Martin A1 - Hauffe, Detlef A1 - Gerstengarbe, F.-W. A1 - Werner, P. C. A1 - Flechsig, Michael A1 - Keuler, Klaus A1 - Block, Alexander A1 - Ahrens, Wilfried A1 - Nocke, Th. T1 - Reliability of regional climate model simulations of extremes and of long-term climate T2 - Natural Hazards and Earth System Sciences N2 - 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-Niño 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. Y1 - 2004 U6 - https://doi.org/10.5194/nhess-4-417-2004 VL - 4 IS - 3 SP - 417 EP - 431 ER -