138 documents found in 237ms
# 131
Rawald, Tobias • Sips, Mike • Dransch, Doris
Abstract: PyRQA is a tool to conduct recurrence quantification analysis (RQA) and to create recurrence plots in a massively parallel manner using the OpenCL framework. It is designed to process very long time series consisting of hundreds of thousands of data points efficiently.
# 132
Albrecht, Torsten
Abstract: This dataset contains PISM simulation results (http://www.pism-docs.org) of the Antarctic Ice Sheet based on code release pik-holocene-gl-rebound: http://doi.org/10.5281/zenodo.1199066 . With the help of added python scripts, Fig. 3 and other model related extended data figures can be reproduced as in the journal publication: *Kingslake, Scherer, Albrecht et al.* **Nature**, forthcoming.
PISM is the open-source Parallel Ice Sheet Model developed mainly at UAF, USA and PIK, Germany.Plottings scripts for figures in 'plot_scripts' access the uploaded PISM results (netCDF data) and save them to 'final_figures'. The bash script 'preprocessing.sh' downloads and converts forcing input data for the plots based on https://github.com/pism/pism-ais. See README.md for information on experiment (ensemble numbers) and information on access of input data.
# 133
Schröter, Kai • Redweik, Richard • Lüdtke, Stefan • Meier, Jessica • Bochow, Mathias • (et. al.)
Abstract: Climate change manifests in terms of changing frequency and magnitude of extreme hydro-meteorological events and thus drives changes in urban flood hazard. Flood risk oriented urban planning is key to derive smart adaptation strategies, strengthen resilience and achieve sustainable development. 3D city models offer detailed spatial information which is useful to describe the exposure and to characterize the susceptibility of buildings at risk. This web-based application presents the 3d-city flood damage module (3DCFD) prototype which has been developed and implemented within a pathfinder projected funded by Climate-KIC during 2015-2016. The presentation illustrates the results of the 3DCFD-module exemplarily for the demonstration case in the City of Dresden. Relative damage to residential buildings which results from various flooding scenarios is shown for the focus area Pieschen in Dresden. The application allows the user to browse through the virtual city model and to colour the residential buildings regarding their relative damage values caused by different flooding scenarios. To do so click on 'Content', then on the brush-icon next to 'Buildings' and select a certain style from the drop-down menu. A style represents a specific combination of loss model and flooding scenario. Flooding scenarios provide spatially detailed inundation depth information according to different water stages at the gauge Dresden. Currently two flood loss models are implemented: a simple stage-damage-function (sdf) which related inundation depth to relative loss and the 3DCFD-module which uses additional information about building characteristics available from the virtual city model. A click on a coloured building will display additional information. The loss estimation module has been developed by the German Research Centre for Geosciences (GFZ), Section Hydrology. The web-application has been developed by virtualcitySYSTEMS GmbH. The data consisting of flood scenarios, a virtual 3D city model, and a terrain model were provided by the City of Dresden.
# 134
Hempel, Sabrina • Frieler, Katja • Warszawski, Lila • Schewe, Jacob • Piontek, Franziska
Abstract: The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) is a community-driven modelling effort bringing together impact models across sectors and scales to create consistent and comprehensive projections of the impacts of different levels of global warming. This entry holds the input data of the ISIMIP Fast Track Initiative consisting of bias corrected daily data for from the following five CMIP5 Global Climate Models (GCMs): GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM and NorESM1-M. Bias corrections has been processed by Sabrina Hempel at PIK and is described in "A trend-preserving bias correction -- the ISIMIP approach" by Hempel et al. (2013)The input data section of the ESGF project referenced in this entry holds the initial version of the bias-corrected GCM input data and was used to force impact models in the ISIMIP Fast Track phase. It should only be used for the ISIMIP2 catch-up experiments for sectors that were already part of the Fast Track phase. For all other purposes, i.e. future runs for new ISIMIP 2 sectors and modeling exercises with no relation to ISIMIP, the corrected and extended version published under the ISIMIP 2 ESGF project should be used. It overcomes several limitations in adjusting the daily variability (denoted as ISIe in Hempel et al., 2013). Data access links are provided to the PIK node of the Earth System Grid Federation (ESGF, https://esg.pik-potsdam.de/). There is currently no directly linked data available, please take a look at the input data of the ISIMIP Fast Track Initiative via https://esg.pik-potsdam.de/search/isimip-ft/. For technical support please have a look at the ESGF FAQ (http://esgf.github.io/esgf-swt/index.html) and the tutorials (https://www.earthsystemcog.org/projects/cog/tutorials_web).
Statistical bias correction is commonly applied within climate impact modeling to correct climate model data for systematic deviations of the simulated historical data from observations. Methods are based on transfer functions generated to map the distribution of the simulated historical data to that of the observations. Those are subsequently applied to correct the future projections. Thereby the climate signal is modified in a way not necessarily preserving the trend of the original climate model data. Here, we present the bias correction method that was developed within ISIMIP, the first Inter-Sectoral Impact Model Intercomparison Project. ISIMIP is designed to synthesize impact projections in the agriculture, water, biome, health, and infrastructure sectors at different levels of global warming. However, bias-corrected climate data that are used as input for the impact simulations could be only provided over land areas. To ensure consistency with the global (land + ocean) temperature information the bias correction method has to preserve the warming signal. Here we present the applied bias correction method that preserves the absolute changes in monthly temperature, and relative changes in monthly values of precipitation and the other variables needed for ISIMIP. The proposed methodology represents a modification of the transfer function approach applied in the Water Model Intercomparison Project (WaterMIP). Correction of the monthly mean is followed by correction of the daily variability about the monthly mean.
# 135
Brunke, Heinz-Peter
Abstract: This data publication includes a matlab software package as described in Brunke (2017). In addition to the Matlab software, we provide three test dataset from the Niemegk magnetic observatories (NGK). We present a numerical method, allowing for the evaluation of an arbitrary number (minimum 5 as there are 5 independent parameters) of telescope orientations. The traditional measuring schema uses a fixed number of eight orientations (Jankowski et al, 1996). Our method provides D, I and Z base values and calculated uncertitudes of them. A general approach has significant advantages. Additional measurements may by seamlessly incorporate for higher accuracy. Individual erroneous readings are identified and can be discarded without invalidating the entire data set, a-priory information can be incorporated. We expect the general method to ease requirements also for automated DI-flux measurements. The method can reveal certain properties of the DI-theodolite, which are not captured by the conventional method. Based on the alternative evaluation method, a new faster and less error prone measuring schema is presented. It avoids the need to calculate the magnetic meridian prior to the inclination measurements. Measurements in the vicinity of the magnetic equator become possible with theodolites without zenith ocular.
# 136
Mills, Steven • Williams, Jack
Abstract: This code (nwrap.ijm) can be used to generate an 'unrolled' circumferential image of a tomographic drill-core scan, such as an X-ray Computed Tomography (CT) scan. The resulting image is analogous to those produced by a DMT CoreScan system®. By comparing such images to geographically references borehole televiewer data, it may be used to reorientate drill-core back into geographic space (Williams et al. submitted). This code should be installed and run as a plugin on ImageJ/Fiji. Full instructions are given in the code and in the Appendix A of Williams et al. (submitted). Examples of unrolled CT scans can be found at Williams et al (2017, http://doi.org/10.5880/ICDP.5052.004).
# 137
Klotz, Jürgen • Deng, Zhiguo • Moreno, Marcos • Asch, Günter • Bartsch, Mitja • (et. al.)
Abstract: The observation of the present-day deformation of the Earth's surface with high spatial and temporal resolution makes up a major part of the Integrated Plate Boundary Observatory Chile (IPOC, www.ipoc-network.org). For this purpose, continuously recording GPS stations were installed in Northern Chile since end of 2002. Eleven of IPOC stations (PB01 – PB11) are equipped with permanent recording GPS receivers (TOPCON GB-1000). They continuously measure at sampling rates of both, 1 second and 30 second. The GPS data are archived and processed in GFZ Potsdam. Detailed information about data availability, metadata and site descriptions can be found at: https://kg3-dmz.gfz-potsdam.de/gnss/GFZPBOCGPS. More description about the Integrated Plate Boundary Observatory Chile (IPOC) can be found at the IPOC Website (http:/ipoc-network.org/observatory/gps/gps-at-ipoc). The Survey Mode GPS data in the IPOC Region was published by Moreno et al. (2017).
# 138
Deng, Zhiguo • Fritsche, Mathias • Nischan, Thomas • Bradke, Markus
Abstract: The German Research Center for Geosciences (GFZ) is providing ultra rapid multi-GNSS orbit-, clock- and EOP-product series (EOP = Earth Orientation Parameters). The Orbit/Clock product covers the following Global Navaigation Satellite Systems (GNSS)- GAL (Galileo) / Europe- GPS (GPS) / USA- GLO (Glonass) / Russian Federation- BDS (Beidou) / PR China- QZS (QZSS) / Japan All products are estimated using the latest version of GFZ's automated EPOS-8 GNSS processing environment and using global hourly RINEX observation data of the International GNSS Service (IGS). The orbit/clock product is provided:- in the SP3-c data format,- every 3 hours with a nominal latency of 2 hours after the last observation,- with a 48 hour sliding window orbit duration (1) the first 24 hours are estimated based on real GNSS RINEX observation data, (2) the second 24 hours consist of an orbit/clock prediction,- the orbit positions epoch interval is of 15 minutes. The EOP product is provided:- in the IGS ERP data format,- every 3 hours with a nominal latency of 2 hours after last observation,- with one estimated 24 hour EOP record based on real GNSS RINEX observation data,- with one predicted 24 hour EOP record. For recent (latest) products used for routine applications a registration via mgnss@gfz-potsdam.de is needed to get special access. Products with an age older than 2 days are available without restrictions. For the used data formats see Kouba and Mierault (2010, https://igscb.jpl.nasa.gov/igscb/data/format/erp.txt) for the description of the EOP Product Series and Hilla (2010, https://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) for the description of the Orbit-/ Clock format SP3-c). The time series are provided in weekly folders, beginning with 27 May 2015 (GPS Week 1846).
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