Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1289-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1289-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data review article
| 
26 Mar 2021
Data review article |
| 26 Mar 2021
| 26 Mar 2021
Hydrometeorological data from a Remotely Operated Multi-Parameter Station network in Central Asia
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Julia Illigner
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Nico Stolarczuk
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Torsten Queißer
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Matthias Köppl
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Heiko Thoss
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Alexander Zubovich
Central-Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan
Azamat Sharshebaev
Central-Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan
Kakhramon Zakhidov
Centre of Hydrometeorological Service (Uzhydromet), Tashkent, Uzbekistan
Khurshid Toshpulatov
Centre of Hydrometeorological Service (Uzhydromet), Tashkent, Uzbekistan
Yusufjon Tillayev
Ulugh Beg Astronomical Institute (UBAI) of the Uzbek Academy of Sciences,
Tashkent, Uzbekistan
Sukhrob Olimov
Agency for Hydrometeorology, Committee of Environmental Protection under the
Government of the Republic of Tajikistan, Dushanbe, Tajikistan
Zabihullah Paiman
Kabul Polytechnic University, Kabul, Afghanistan
Katy Unger-Shayesteh
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Abror Gafurov
Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences,
Potsdam, Germany
Bolot Moldobekov
Central-Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan
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Cited
11 citations as recorded by crossref.
- Ionospheric precursors of strong earthquakes observed using six GNSS stations data during continuous five years (2011–2015) H. Eshkuvatov et al. https://doi.org/10.1016/j.geog.2022.04.002
- Imputation of Multi-Dimensional High-Frequency Climate Data to Predict Air and Surface Temperatures in Kuwait S. Khan & R. Al-Hajj https://doi.org/10.3390/info17030221
- Quantifying permafrost ground ice contents in the Tien Shan and Pamir (Central Asia): a petrophysical joint inversion approach using a geometric mean model T. Mathys et al. https://doi.org/10.5194/tc-19-6591-2025
- Long-term Statistics of Meteorological Data at the Maidanak Astronomical Observatory A. Azimov et al. https://doi.org/10.1088/1674-4527/ae1ec6
- Astronomical Seeing and Meteorological Parameters at Maidanak Observatory Y. Tillayev et al. https://doi.org/10.3390/atmos14020199
- Cyclic Fault Slip Under the Magnifier: Co‐ and Postseismic Response of the Pamir Front to the 2015 Mw7.2 Sarez, Central Pamir, Earthquake A. Zubovich et al. https://doi.org/10.1029/2022TC007213
- Long-term firn and mass balance modelling for Abramov Glacier in the data-scarce Pamir Alay M. Kronenberg et al. https://doi.org/10.5194/tc-16-5001-2022
- 第三极地区高分辨率近地面气象驱动数据研制 尧. 姜 et al. https://doi.org/10.1360/N072024-0170
- Assessing the fidelity of gridded datasets for characterizing precipitation over the Tibetan plateau using multi-source observations and water balance D. Li et al. https://doi.org/10.1007/s44394-025-00012-1
- Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region Y. Jiang et al. https://doi.org/10.1007/s11430-024-1507-6
- Multi-Parameter Observation System for Glacial Seismicity at High-Altitude Tien Shan Region N. Mikhailova et al. https://doi.org/10.3390/geosciences16020060
11 citations as recorded by crossref.
- Ionospheric precursors of strong earthquakes observed using six GNSS stations data during continuous five years (2011–2015) H. Eshkuvatov et al. https://doi.org/10.1016/j.geog.2022.04.002
- Imputation of Multi-Dimensional High-Frequency Climate Data to Predict Air and Surface Temperatures in Kuwait S. Khan & R. Al-Hajj https://doi.org/10.3390/info17030221
- Quantifying permafrost ground ice contents in the Tien Shan and Pamir (Central Asia): a petrophysical joint inversion approach using a geometric mean model T. Mathys et al. https://doi.org/10.5194/tc-19-6591-2025
- Long-term Statistics of Meteorological Data at the Maidanak Astronomical Observatory A. Azimov et al. https://doi.org/10.1088/1674-4527/ae1ec6
- Astronomical Seeing and Meteorological Parameters at Maidanak Observatory Y. Tillayev et al. https://doi.org/10.3390/atmos14020199
- Cyclic Fault Slip Under the Magnifier: Co‐ and Postseismic Response of the Pamir Front to the 2015 Mw7.2 Sarez, Central Pamir, Earthquake A. Zubovich et al. https://doi.org/10.1029/2022TC007213
- Long-term firn and mass balance modelling for Abramov Glacier in the data-scarce Pamir Alay M. Kronenberg et al. https://doi.org/10.5194/tc-16-5001-2022
- 第三极地区高分辨率近地面气象驱动数据研制 尧. 姜 et al. https://doi.org/10.1360/N072024-0170
- Assessing the fidelity of gridded datasets for characterizing precipitation over the Tibetan plateau using multi-source observations and water balance D. Li et al. https://doi.org/10.1007/s44394-025-00012-1
- Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region Y. Jiang et al. https://doi.org/10.1007/s11430-024-1507-6
- Multi-Parameter Observation System for Glacial Seismicity at High-Altitude Tien Shan Region N. Mikhailova et al. https://doi.org/10.3390/geosciences16020060
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
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, and they are operated by German and Central Asian institutes and national hydrometeorological services. They provide up to 10 years of raw meteorological and hydrological data, especially in remote areas with extreme climate conditions, for applications in climate and water monitoring in Central Asia.
The regional research network Water in Central Asia (CAWa) funded by the German Federal Foreign...
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