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# 1
Waldhoff, Guido • Herbrecht, Marina
Abstract: This data set contains the Enhanced land use classification of 2017 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 2
Hoffmeister, Dirk
Abstract: This data link summarizes all meteorological and soil measurements of the 15 permanent weather stations established by the Collaborative Research Center (CRC) 1211 in the Atacama desert in Chile. Basic stations are equipped with standard meteorologic instruments, radiation sensors and a leaf wetness sensor, as well as soil surface, soil temperature and soil humidity sensors. Master stations are additionally equipped with further soil and radiation sensors, as well as temperature, humidity and wind sensor in a height of 4 m. The measurement sites are located in three different transects from the coast to the hillslopes of the Andes each consisting of four to five stations. Recent data are available on the weather station website section (https://www.crc1211db.uni-koeln.de/wd/index.php). Additionaly, detailed information about the station configuration and mounted sensors is given at this website section. The data of these remote stations is mostly collected every hour by a GOES satellite uplink provided by National Oceanic and Atmospheric Administration (U.S. Department of Commerce). Further communication uses GSM-, radio- or Wifi-connections. In addition, data stored in the stations are acquired on a regular time basis, as documented in the section stated above. Please contact the contributor for all further details. Yearly datasets are additionally stored in this CRC1211-DB.
# 3
Reinhardt-Imjela, Christian • Schulte, Achim • Rasche, Daniel • Vormeier, Philipp • Isau, Oliver
Abstract: Davis Vantage Pro Rainfall Collectors are used in a wide range of projects worldwide even in remote and inaccessible regions (cf. Krois et al. 2013). However in remote areas or if a large number of collectors is used parallel, measurement errors for each device can hardly be quantified. To provide a dataset that allows an estimation of errors that occur in observations with Davis Vantage Pro collectors, comparative rainfall data were obtained at the hydro-meteorological monitoring station in Berlin-Lankwitz. The station is located at Geo Campus Lankwitz (Freie Universität Berlin, Department of Earth Sciences) at an elevation of 45 m a.s.l. and consists of a 7.5 x 7.5 m wide fenced measuring field covered by short grass which is cut in weekly intervals. The field is equipped with a range of rainfall measuring devices including a Hellmann rain gauge and a Vantage Pro collector. A comparison of both time series allows a general estimation of potential measuring errors of the Davis Vantage Pro data, assuming that the Hellmann data are less affected by random measuring errors. The data are intended to support the interpretation of rainfall records of Davis Vantage Pro stations in studies without control instruments and to enable users to apply their own statistical analysis to the data. However the dataset does not contain a continuous weather record. The detailed time series are published separately. The Hellmann gauge installed on the monitoring field has a standard diameter of 16 cm (area: 200 m²), is made of stainless steel and mounted 1 m above ground. Rain water is collected in a steel can, which is emptied manually every morning from Monday to Friday using a DIN58667 measuring glass. Between December and February accumulated snow and ice is thawed. Monday's observations representing a three day period (weekend) are excluded from the data set to avoid errors caused by evaporation and sublimation from the collector. The Davis VantagePro tipping bucket is part of a DAVIS Vantage Pro ISS (Integrated Sensor Suite, DAV-6323EU) with a collector diameter of 16.3 cm and a collecting area of 210 cm² respectively. The system was manufactured before 2007. The top of the plastic rain collector is mounted 2 m above ground. From December to February the collector is heated using the DAV-7720EU heating system. The measuring resolution of the tipping bucket is 0.25 mm (0.01 inch). Rainfall is logged in 15-minute intervals and for the error analysis data are aggregated according to the reading intervals of the Hellmann gauge. The dataset contains a total of 72 paired daily rainfall observations obtained in 2017. The difference between Hellmann gauge and Vantage Pro (referred to as measurement error) ranges from -1.6 (Vantage Pro underestimates) to 3 mm (Vantage Pro overestimates) with a mean absolute error of 0.6 mm (median: 0.4 mm). 75 % of the absolute error values are below 0.7 mm. If a linear regression model is applied the absolute error does not increase significantly with increasing daily precipitation (R²: 0.25). However, the low R² is caused by the fact that for the June 2017 extreme rainfall event (29/30 June: 95.7 mm in 24 hours) one of the lowest errors in the data set (-0.2 mm) was calculated. Removing of this outlier results in an increased R² of 0.75. However, it should be noted that as measurements continue after 2017 the sample size will increase year by year. The data are provided as a tab-separated TXT file with column names in the first line. The first and second column contain the beginning ("From_Date") and end ("Until_Date") of each reading interval (date format: DD.MM.YYYY hh:mm). In the third column (“DavisVantagePro”) rainfall of the Vantage Pro tipping bucket is listed and the last column (“Hellmann”) contains the rainfall measured with the Hellmann collector (in mm).
# 4
Cesca, Simone • Sobiesiak, Monika • Tassara, Arturo • Olcay, Manuel • Günther, Erwin • (et. al.)
Abstract: The Iquique Local Network (ILN), a temporal network of broadband and short period seismic stations has been operating in Northern Chile since 2009. The aim of this installation was to locally densify the permanent seismic installation of the Integrated Plate Boundary Observatory in Chile (IPOC), with the main goal to decrease the magnitude of detected earthquake, to improve the hypocentral location accuracy, to allow a more accurate investigation of seismic source parameters, and to analyse proposed seismogenic structures of the Northern Chile seismic gap. The network setup evolved with time, with different geometries at different installation phases, aiming to study different seismicity features. In the first phase, started in 2009 and operational since 2010 until autumn 2013, the network had a sparse configuration, targeting a broad region extending from 19.5° S in the North to approximately 21.3° S South of Iquique. In the following stage, operational until fall 2017, most broadband stations were rearranged into a small aperture seismic array (PicArray) close to the village of Pica, to monitor with array techniques the shallow seismicity at the plate interfacer, intermediate and deep focus seismicity. Waveform data are available from the GEOFON data centre, under network code IQ, and arefully open.
# 5
Eggert, Daniel • Sips, Mike • Dransch, Doris
Abstract: gms-vis is a web-based implementation of our visual-analytics approach for assessing remote-sensing data. It is implemented based on the GWT framework. Once deployed through a webserver it acts as the user interface for the GeoMultiSens (GMS) platform. Within the interface users can intuitively define spatial, temporal as well as quality constraints, for remote sensing scenes. A heatmap enables the user to assess the spatial distribution of selected scenes, while a time histogram allows the user to assess their temporal distribution. Finally, users can specify a workflow which will be executed by the GeoMultiSens platform. Though gms-vis is part of the GeoMultiSens platform, it is relatively self-contained and can be attached to different analysis frameworks and platforms with reasonable effort.
# 6
Urbani, Stefano • Acocella, Valerio • Rivalta, Eleonora
Abstract: The dataset includes movies of 29 analogue experiments performed to investigate the effects on dike propagation by the following imposed parameters: density ratio between host-rock and magma analogues, rigidity layering and density layering of the host medium, flow rate and topography. The purpose of the experiments is to define a hierarchy of all the parameters considered, by varying systematically each of them, comparing semi-quantitatively the variations on dike geometry and velocity. Experimental setup The experimental set-up consists of a 33 × 58 × 38.5 cm3 Plexiglas box and a peristaltic pump that injects water (magma analogue) into pig-skin gelatin (crustal analogue) alternatively from the bottom (Set 1) and the side of the box (Set 2). The gelatin rheological properties are varied by mixing different concentrations of gelatin powder and NaCl. We refer to “rigidity layering” when the rigidity ratio (i.e. Young’s Modulus) between the upper and lower layer (Eu/El) is < or > 1, and to “density layering” when Eu/El ~ 1, but the two layers show different densities (i.e. the ratio between the density of the upper and lower layer, ρU/ρL). The experiments with topography are prepared by imposing a mold with gently inward dipping flanks (2.4° and 3.7°) on the opposite sides of the box separated by a 8 cm wide horizontal plain on the gelatin surface. This configuration simulates the 2-D along-strike topography of the 2014 Bardarbunga intrusion (Iceland) and allows investigating the role of two opposite slopes on dike propagation. The topography profile dips parallel to the long side of the Plexiglas box (x axis in Figure 1 of Urbani et al. 2018). The flow rate has been changed between 0.079 and 0.435 ml/s. For the details about the model set-up, experimental results and interpretation refer to Urbani et al. (2018). The time-lapse movies show the time evolution of the dike shape, in side and map view, of 29 out of 33 models presented in Urbani et al. (2018). It is recommended to open the films with the VLC media player. The time-lapse of each experiment is indicated in the bottom left corner. A full list of files is given in “Experiments_Summary_2018-012.pdf” in which Set 1 (bottom injection) and Set 2 (lateral injection) experiments are indicated in red and blue color respectively. The same file also provides a summary of the boundary conditions imposed in each experiment. Tu and Tl indicate the thickness of the upper and lower layer respectively.
# 7
Waldhoff, Guido
Abstract: This data set contains the land use classification of 2016 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 8
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.
# 9
Hoffmeister, Dirk
Abstract: This data link summarizes all meteorological and soil measurements of the permanent master weather station "13- Cerros de Calate" in the Atacama desert in Chile. Master stations are equipped with further soil and radiations sensors, as well as temperature, humidity and wind sensors in a height of 4 m. The measurement site is located in the central transect of the research regions at the Rio Loa Canyon and the Cerros de Calate. Recent data are available on the weather station website section (https://www.crc1211db.uni-koeln.de/wd/index.php). Additionaly, detailed information about the station configuration and mounted sensors is given at this website section. The data of this station is collected every hour by a GOES satellite uplink provided by National Oceanic and Atmospheric Administration (U.S. Department of Commerce) and this station also collects data of station 12 by radio-based communication. In addition, data stored in the station is acquired on a regular time basis, as documented in the section stated above. Please contact the contributor for all further details. Yearly datasets are additionally stored in this CRC1211-DB.
# 10
Hoffmeister, Dirk
Abstract: This data link summarizes all meteorological and soil measurements of the permanent weather station "15- Quebrada de Mani" in the Atacama desert in Chile. The measurement site is located in the central transect of the research regions at the Quebrada de Mani. Recent data are available on the weather station website section (https://www.crc1211db.uni-koeln.de/wd/index.php). Additionaly, detailed information about the station configuration and mounted sensors is given at this website section. The data of this station is collected every hour by a GOES satellite uplink provided by National Oceanic and Atmospheric Administration (U.S. Department of Commerce). In addition, data stored in the station is acquired on a regular time basis, as documented in the section stated above. Please contact the contributor for all further details. Yearly datasets are additionally stored in this CRC1211-DB.
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