Hydrometeorological data from a Remotely Operated Multi-Parameter Station network in Central Asia

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 c...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Earth system science data 2021-03, Vol.13 (3), p.1289-1306
Hauptverfasser: Zech, Cornelia, Schöne, Tilo, Illigner, Julia, Stolarczuk, Nico, Queißer, Torsten, Köppl, Matthias, Thoss, Heiko, Zubovich, Alexander, Sharshebaev, Azamat, Zakhidov, Kakhramon, Toshpulatov, Khurshid, Tillayev, Yusufjon, Olimov, Sukhrob, Paiman, Zabihullah, Unger-Shayesteh, Katy, Gafurov, Abror, Moldobekov, Bolot
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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).
ISSN:1866-3516
1866-3508
1866-3516
DOI:10.5194/essd-13-1289-2021