The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) that measures the environment temperature SIMBA-ET and temperature change (SIMBA-HT) after an identical heating element is applied to each sensor. This SIMBA (FMI02) was deployed in the high Arctic during the Polarstern Arctic cruise (ARK-XXVII/3) on 22, September 2012. The SIMBA thermistor chain is 4.8 m long and equipped with 240 thermistors at 0.02 m spacing. Snow depth and ice thickness were derived manually by investigating the SIMBA_ET vertical temperature profiles. This SIMBA was deployed on 22 Sep 2012 at 15:15 UTC. The initial position was Latitude: 88.81287 N Longitude: 57.53883 E. The initial ice thickness was 1.44 m; Freeboard was 0.21 m and the snow depth was 0.03 m. The submitted data package includes 3 data files, i.e., SIMBA GPS position; SIMBA snow depth and ice thickness and SIMBA environmental temperature (SIMBA_ET).
This dataset presents a set of geographical, geochemical and isotopic data, microphotos of thin sections and geochemical binary variation diagrams of sixteen samples of volcanic rocks collected in The Pleiades Volcanic Field, Northern Victoria Land, Antarctica (≈ 72° 42’ S; 165° 43’ E), made up of some 20 monogenetic, partly overlapping scoria and spatter cones, erupted in the last 900 ka, cropping out from the ice close to the head of Mariner Glacier.
First two files of dataset (kmz files) contain locations of volcanic centres of The Pleaides Volcanic Fiels and the locations of the collected samples.
File #3 contains analytical results of full major element, trace element and radiogenic (Sr, Nd, Pb) isotopic data of collected samples.
File #4 contains analytical details of Ar-Ar geochronological data.
File #5A and 5B contains modelling results, respectively, of major elements and trace elements-Sr isotope ratios of Assimilation plus Crystal Fractionation (AFC) applied to selected samples of The Pleiades Volcanic Field.
Other files are images containing high-resolution pictures collected through optical microscopy of thin sections of collected samples showing their most important petrographic features and binary geochemical diagrams of variation of major elements and selected trace elements against SiO2 (wt%).
This data are supplement to a manuscript currently submitted to G3 – Geochemistry, Geophysics, Geosystems, and are used to describe the main petrographic and geochemical features of the volcanic products outcropping at the Pleiades, define the characters of their mantle source, to define their evolutionary patterns. Through these data, we observed an unusual fractionation trend for this kind of volcanic fields, with a large assimilation rate of crustal material, ane we hypothesize a role of the thick-ice cap able to suppress the eruption potential and to increase the residence times of magma in crustal chambers.
We merged various digital elevation models (DEMs) published in the recent years and created an up-to-date composite and global solution for Earth’s topography and bathymetry. Compared to the original geographically limited data sets, the final product is a seamless merged grid which additionally provides high resolution and accuracy topography and depth globally.
We provide Earth relief grids w.r.t EIGEN-6C4 global geoid in terms of surface and bedrock elevation, ice thickness, and land-type masks which have been substantially improved w.r.t the global grids found in literature. We assessed the quality of the merged surface elevations w.r.t the heights given for about globally distributed 5000 ITRF stations. The merged surface model shows improvement of a factor of three w.r.t the other commonly used DEMs in terms of standard deviation. In addition to the four grids, GDEMM2024_SUR, GDEMM2024_BED, GDEMM2024_ICE, and GDEMM2024_LTM, we provide two additional files, the surface elevation without water (GDEMM2024_TBI) and the GDEMM2024_GEO file to transform the heights above EIGEN_6C4 geoid to ellipsoidal heights. The final grids are provided both in 30 arcsec and 1arcmin resolution and in GeoTIFF format which is one of the standards that is available in GMT (Generic Mapping Tools), GDAL (Geospatial Data Abstraction Library) and in almost all GIS software systems.
In order to place recent climate change in a longer term context the reconstruction of climatic variations on annual, interannual, and decadal time scales of the last 1000 years is a priority target in current climate research. In its recent report the IPCC recommends that in order to reduce uncertainty associated with present palaeoclimate estimates of Northern Hemispheric temperatures, further work is necessary to produce many more, especially early, palaeoclimate series with much wider geographical coverage. This project aims to reconstruct different climate parameters from a very continental site with low data coverage, the Altai mountain range in Central Asia. For this purpose, an ice core will be recovered from a high-mountain glacier in the Mongolian Altai, suitable for palaeo climate reconstruction. To achieve this goal as a first step, a reconnaissance study will be conducted in order to find the best glacier site. Ideally, a survey helicopter flight to two or three potential glacier sites will be performed. Ground Penetrating Radar will be applied to determine the ice thickness. Based on the results of the radar survey at the most promising sites, shallow firn cores will be collected. The firn cores will be analysed for chemical composition and stable isotope ratios. All parameters together will allow evaluating the quality of the preservation of the climate and atmospheric signals. A first estimation of the annual accumulation and the approximate age will be made. Based on these data the site for deep drilling will be selected and in a second step the deep ice core will be recovered. This project will be conducted in collaboration between the Analytical Chemistry Group of the Laboratory of Radiochemistry and Environmental Chemistry, Paul Scherrer Institut, the Glaciology Group of the Department of Geography at the University of Zurich, Switzerland, the Institut for Water and Environmental Problems SB RAS, Barnaul, Russia, and the Institute of Meteorology and Hydrology, Ulaanbaatar, Mongolia. Methods used are field measurements and ice core chemical analysis in the laboratory. Existing instrumental climate data and other available palaeo data are collected, especially meteorological data from four climate stations operated in the Mongolian Altai for the last 60 years.