421 documents found in 524ms
# 1
Addis Ababa University, Institute of Geophysics, Space Science and Astronomy (Ethiopia) • Altay-Sayan Branch of Geophysical Survey of Siberian Branch of Russian Academy of Sciences (Russia) • Bureau Central de Magnétisme Terrestre, BCMT (France) • Beijing Ming Tombs Geomagnetic Observatory Center, Institute of Geology and Geophysics, Chinese Academy of Sciences (China) • Bogaziçi University, Kandilli Observatory and Earthquake Research Institute (Turkey) • (et. al.)
Abstract: Definitive digital one-minute values of the Earth's mangetic field recorded during 2013 at INTERMAGNET observatories around the world. This is the 23rd annual publication in the series. Some national data institutions may have related DOIs that describe subsets of the data. These DOIs are shown under "Related DOIs to be quoted". For more information on the technical standards please refer to the INTERMAGNET Technical Manual and the Technical note TN6 "INTERMAGNET Definitive One-second Data Standard".
Geomagnetic data is recorded and quality controlled at the institutions responsible for each observatory. Before becoming a member of INTERMAGNET, institutes must make a detailed submission for each observatory that is to join. This submission is verified by a committee in INTERMAGNET before the observatory is admitted. Only data from INTERMAGNET members is published by INTERMAGNET. Each annual definitive data set is checked for quality by a team of data checkers in INTERMAGNET before the data is admitted to the series for that year.
# 2
Matzka, Jürgen • Stolle, Claudia • Kervalishvili, Guram • Rauberg, Jan • Yamazaki, Yosuke
Abstract: Purpose and design of the Hp indices, test dataset The geomagnetic Hp indices are developed as part of the SWAMI project (http://swami-h2020.eu) funded by the European Union’s H2020 research and innovation program. They are designed to resemble the geomagnetic Kp index, but have a higher temporal resolution of 90, 60 and 30 minutes. Whereas the Kp index is a measure of energy input from the solar wind during a 3-hour interval, the Hp indices aim at being a similar measure for the energy input, but over shorter intervals. The geomagnetic Hp indices can be provided back to 1995. Their derivation procedure is similar, but not identical, to the Kp index. Hp values range from 0 to 9 (like Kp), and have mean occurrence rates that are comparable to those of the Kp index. However, users have to appreciate that the Hp indices are not identical to the Kp index of the corresponding time interval. Therefore, it is to be expected that they represent the energy input from the solar wind slightly differently than when using the Kp index. Disclaimer to users of the Hp indices test data set Please carefully test and validate all your model output and services for which you use the Hp indices (including the ap90, ap60, ap30) as input parameter. This is especially true when these models and services were originally derived or parameterized with the Kp index. Which files to use? We provide a number of test data files with different time resolutions. By default, we recommend to use the 1-hourly Kp-like Hp60 index (e.g. data file Hp60_2003.dat) or ap-like ap60 index (e.g. ap60_2003.dat). Hp test dataset description The Hp test dataset consists of 24 files. It is accompanied by the presentation given on the index at the IUGG General Assembly 2019 in Montreal (Stolle et al., 2019). For each year 2003, 2004, 2005 and 2017, there exist annual files for 90, 60 and 30 minutes time resolution) in 2 different formats (Hp and ap). In the format 'Hp' the Hp values are given as 0, 0.7, 1, 1.3, 1.7, 2, 2.3, ... 8.7, 9. In the format 'ap', the Hp values are mapped onto ap values in the same fashion as Kp values are mapped to ap values. The index is provided with an hourly resolution (Hp60 and ap60), and also with a 30-minute (Hp30 and ap30) and 90-minute version (Hp90 and ap90). The years 2003 (Halloween storm in October and November), 2005 (frequent geomagnetic storms) and 2017 (geomagnetic storm in September) were chosen for the occurrence of strong geomagnetic activity. The files are ASCII and have 7 header lines. The data is blank separated and fixed length. The 7th header line indicates the start time (in UTC) of the index interval. For Hp90 there are 16 intervals per day, for Hp60 there are 24 intervals per day, for Hp30 there are 48 intervals per day. Every line with data contains the index values for one day and starts with the date (year-month-day) in the format YYYY-MM-DD. The index values for each interval are written below the start time of the 7th header line. Missing data is indicated by -1. For more information on the Kp and ap index, please refer to https://www.gfz-potsdam.de/en/kp-index/ and to Siebert and Meyer (1996). For more information on the Hp indices test dataset, please refer also to the presentation (Stolle et al., 2019) which can be downloaded from the FTP server.
# 3
Gaucher1, Emmanuel • Maurer, Vincent • Grunberg, Marc
Abstract: This report describes the passive seismic data acquired by the TOPASE network deployed over Rittershoffen geothermal field (Alsace, France). The monitoring period extends from March 2013 to November 2014, which includes the stimulation of the first well of the doublet, the drilling of the second well and well tests. These data were acquired using 31 Earth Data Loggers PR6-24 and MARK-SERCEL L-4C-3D 1 Hz seismometers of the Geophysical Instrument Pool Potsdam (GIPP), which were provided to the KIT-AGW-Geothermal research division.
# 4
Uhlig, David • von Blanckenburg, Friedhelm
Abstract: The data herein were used to assess the importance of geogenic-derived nutrients on long-term forest ecosystem nutrition in two mountainous temperate forest ecosystems in southern Germany (Conventwald/Black Forest and Mitterfels/Bavarian Forest). Presented are element concentrations of various forest ecosystem compartments along with the soil pH, chemical depletion fractions (CDF), mass transfer coefficients (τ_(X_i)^X), radiogenic Sr isotope ratio (87Sr/86Sr) of soil and saprolite as well as in situ 10Be concentrations of bedload sediment. Element concentrations measured by X-ray fluorescence (XRF) are provided for drilling core samples (depth: 20 m, site Conventwald (CON), and 30 m, site Mitterfels (MIT)) including unweathered parent bedrock (paragneiss) and regolith comprising soil, saprolite and weathered bedrock but also for bedload sediment. Element concentrations were also measured by ICP-OES to determine the element composition of the soil´s and saprolite´s water-soluble, easily exchangeable, carbonate and organic-bound fraction. In addition, ICP-OES derived element concentrations are reported for plant tissues such as needles, leaves, and stem wood comprising heartwood (dead part of wood) and sapwood (living part of wood) of the two tree species European beech (Fagus sylvatica) and Norway spruce (Picea abies). Along with the chemical composition of soil and saprolite calculated weathering indices such as the chemical depletion fraction (CDF) and the mass transfer coefficient (τ_(X_i)^X) are reported for regolith and bedrock. Further, the dataset contains phosphorus (P) concentrations measured by ICP-OES and UV spectrometry from various P fractions obtained by sequential extractions following the Hedley fractionation method. Additionally, the pH of soil and saprolite measured by a pH meter as well as the radiogenic Sr isotope ratio, namely 87Sr/86Sr measured by MC-ICP-MS for bulk bedrock and regolith are reported in the dataset. Finally, to estimate the landscapes lowering rate (total denudation) in situ 10Be concentrations were measured by accelerator mass spectrometry (AMS) on bedload sediment at the outlet of the catchment. The data presented here stem from sampling campaigns described in Uhlig et al. (2019) to which they are supplementary material to. Samples were mainly processed in the Helmholtz Laboratory for the Geochemistry of the Earth Surface (HELGES) and the GFZ section of Inorganic and Isotope Geochemistry (XRF analyses), the University of Bonn (P Hedley fractionation), and the University of Cologne - Centre for Accelerator Mass Spectrometry (AMS) (10Be measurements). This dataset represents the supplementary material to Uhlig et al. (2019). Tables (including data quality control) supplementary to the article are provided in pdf and xls formats. In addition, data measured in the course of the study is given in machine readable ASCII files. All samples are indexed with an International Geo Sample Number (IGSN). Sample metadata can be viewed by adding the IGSN to the “http://igsn.org/” URL (e.g. igsn.org/GFDUH00LT).
# 5
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that represent the sum of the ATM (or GAA) and OCN (or GAB) coefficients during the specified timespan. These coefficients represent anomalous contributions of the non-tidal dynamic ocean to ocean bottom pressure, the non-tidal atmospheric surface pressure over the continents, the static contribution of atmospheric pressure to ocean bottom pressure, and the upper-air density anomalies above both the continents and the oceans. The anomalous signals are relative to the mean field from 2003-2014.
# 6
Dahle, Christoph • Flechtner, Frank • Murböck, Michael • Michalak, Grzegorz • Neumayer, Karl Hans • (et. al.)
Abstract: Spherical harmonic coefficients representing an estimate of Earth's mean gravity field during the specified timespan derived from GRACE-FO mission measurements. These coefficients represent the full magnitude of land hydrology, ice, and solid Earth processes. Further, they represent atmospheric and oceanic processes not captured in the accompanying GAC product.
# 7
Dahle, Christoph • Flechtner, Frank • Murböck, Michael • Michalak, Grzegorz • Neumayer, Hans • (et. al.)
Abstract: Spherical harmonic coefficients representing an estimate of Earth's mean gravity field during the specified timespan derived from GRACE mission measurements. These coefficients represent the full magnitude of land hydrology, ice, and solid Earth processes. Further, they represent atmospheric and oceanic processes not captured in the accompanying GAC product.
# 8
Raab, Tobias • Reinsch, Thomas • Aldaz Cifuentes, Santiago • Henninges, Jan
Abstract: The data set is a supplement to the publication Raab, T., Reinsch, T., Aldaz Cifuentes, S. R., and Henninges, J. (2019). Real-Time Well Integrity Monitoring using Fiber-Optic Distributed Acoustic Sensing. SPE Journal. http://doi.org/10.2118/195678-PA. The data set contains fiber-optic and conventional logging data recorded for integrity investigations during different drilling stages of Well RN-34, Iceland.
AcknowledgementData was acquired within the framework of project IMAGE (Integrated Methods for Advanced Geothermal Exploration), funded by the EC Seventh Framework Programme under grant agreement No. 608553. This study has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 654497 (GeoWell project), 676564 (EPOS IP), and 691728 (DESTRESS). We would like to thank our partners from the GeoWell project for the excellent collaboration, constant support during data acquisition and analysis as well as the fruitful discussions over the past years. We are especially grateful to Árni Ragnarsson, Ingólfur Örn Þorbjornsson and Gunnar Skúlason Kaldal and their colleagues from ÍSOR as well as Guðmundur Ómar Friðleifsson and Ómar Sigurðsson and their colleagues from HS ORKA.We would like to thank Andi Clarke and his colleagues from Silixa Ltd. for their effort during data acquisition and analysis. At GFZ, we would like to thank David Bruhn, Ernst Huenges, Philippe Jousset, Christian Cunow, Jörg Schrötter, and Ronny Giese as well as all colleagues in section 4.8 Geoenergy who contributed to this project in one form or the other.
# 9
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that represent the sum of the ATM (or GAA) and OCN (or GAB) coefficients during the specified timespan. These coefficients represent anomalous contributions of the non-tidal dynamic ocean to ocean bottom pressure, the non-tidal atmospheric surface pressure over the continents, the static contribution of atmospheric pressure to ocean bottom pressure, and the upper-air density anomalies above both the continents and the oceans. The anomalous signals are relative to the mean field from 2003-2014.
# 10
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that are zero over the continents, and provide the anomalous simulated ocean bottom pressure that includes non-tidal air and water contributions elsewhere during the specified timespan. These coefficients differ from GLO (or GAC) coefficients over the ocean domain by disregarding upper air density anomalies. The anomalous signals are relative to the mean field from 2003-2014.
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