Hydrometeorological data from a Remotely Operated Multi-Parameter Station network in Central Asia
| Autor: | Khurshid Toshpulatov, Nico Stolarczuk, Abror Gafurov, Kakhramon Zakhidov, Julia Illigner, Sukhrob Olimov, Zabihullah Paiman, Azamat Sharshebaev, Heiko Thoss, Katy Unger-Shayesteh, Matthias Köppl, Cornelia Zech, Yusufjon Tillayev, Bolot Moldobekov, Alexander Zubovich, Tilo Schöne, Torsten Queißer |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
lcsh:GE1-350
Extreme climate 010504 meteorology & atmospheric sciences Meteorology lcsh:QE1-996.5 Central asia 010502 geochemistry & geophysics Data storage system 01 natural sciences language.human_language lcsh:Geology German Geography Research centre language Digital Object Identifier General Earth and Planetary Sciences Hydrometeorology Multi parameter lcsh:Environmental sciences 0105 earth and related environmental sciences |
| Zdroj: | Earth System Science Data BASE-Bielefeld Academic Search Engine Earth System Science Data, Vol 13, Pp 1289-1306 (2021) |
| ISSN: | 1866-3516 |
| Popis: | The regional research network Water in Central Asia (CAWa) funded by the German Federal Foreign Office consists of 18 remotely operated multi-parameter stations (ROMPSs) in Central Asia. These stations were installed by the German Research Centre for Geosciences (GFZ) in Potsdam, Germany, in close cooperation with the Central-Asian Institute for Applied Geosciences (CAIAG) in Bishkek, Kyrgyzstan; the national hydrometeorological services in Tajikistan and Uzbekistan; the Ulugh Beg Astronomical Institute in Tashkent, Uzbekistan; and the Kabul Polytechnic University, Afghanistan. The primary objective of these stations is to support the establishment of a reliable data basis of meteorological and hydrological data especially in remote areas with extreme climate conditions for applications in climate and water monitoring in Central Asia. Up to now, 10 years of data have been provided for an area of scarce station distribution and with limited open-access data which can be used for a wide range of scientific or engineering applications. The data described in this paper are made publicly available with the digital object identifier (DOI) https://doi.org/10.5880/GFZ.1.2.2020.002 (Zech et al., 2020) or via the Sensor Data Storage System (SDSS) at http://sdss.caiag.kg (last access: 22 February 2021). |
| Databáze: | OpenAIRE |
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