4-9 September 2022, Bonn, Germany
EMS Annual Meeting Abstracts
Vol. 19, EMS2022-476, 2022, updated on 24 Oct 2023
https://doi.org/10.5194/ems2022-476
EMS Annual Meeting 2022
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A low-cost approach to develop Weather, Water and Climate Services (WWCS) in rural areas of Tajikistan

Omar Bellprat1, Christoph Spirig1, Moritz Flubacher1, Jacques Grandjean1, Yves-Alain Roulet1, Lionel Moret1, Mathias Bavay2, Joel Fiddes2, Boris Orlowsky3, Shinan Kassam3, Hafiz Kalandarov3, Safarali Yatimov3, Akramkhanov Akmal4, Stefan Martin Strohmeier4, Ram Sharma4, Mira Haddad4, Ajit Govind4, Kaya Fatih5, and Dominique Berod5
Omar Bellprat et al.
  • 1Federal Office of Meteorology and Climatology (MeteoSwiss), Switzerland
  • 2Swiss Federal Institute for Snow and Avalanche Research (SLF), Switzerland
  • 3CARITAS, Switzerland
  • 4International Center for Agricultural Research in the Dry Areas (ICARDA)
  • 5World Meteorological Organization, WMO, Switzerland

Severe weather and climate change take a high toll on the most vulnerable population of Tajikistan. Every year, droughts, flooding or avalanches and non-optimal management practices cause food insecurity and affect the lives of exposed rural communities. Weather, Water and Climate Services (WWCS) that support agronomic decisions and early warning systems can greatly reduce socio-economic and environmental impacts on vulnerability and well-being. However, a lack of resources and local capacities have so far inhibited their development. In response to this urgent need, a consortium of Swiss federal institutions, the WMO and ICARDA, led by CARITAS Switzerland and with co-funding from the Swiss Agency for Development and Cooperation, support governmental and private sector partners in Tajikistan to develop WWCS. The project improves the observational database by deploying a large number of low-cost automated weather stations complemented by citizen observations in remote areas. These stations enable post-processing of forecasts and thereby the development of reliable services tailored to local user-needs.  The underlying hardware and software developments follow a strict open-source policy and combine technical expertise in sensor development and statistical post-processing. The approach enables therefore replicability and scaling of the services at minimal costs. Comparative measurement studies show promising accuracy and stability of the data retrieval in comparison to more standard approaches. Post-processing of ECMWF ensemble predictions, which are now publicly available at a resolution of 0.4° (~40km), proved efficient to develop reliable air temperature forecasts. Pilot WWCS based on citizen observations have already helped to increase agricultural yield at a test site.

How to cite: Bellprat, O., Spirig, C., Flubacher, M., Grandjean, J., Roulet, Y.-A., Moret, L., Bavay, M., Fiddes, J., Orlowsky, B., Kassam, S., Kalandarov, H., Yatimov, S., Akmal, A., Strohmeier, S. M., Sharma, R., Haddad, M., Govind, A., Fatih, K., and Berod, D.: A low-cost approach to develop Weather, Water and Climate Services (WWCS) in rural areas of Tajikistan, EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-476, https://doi.org/10.5194/ems2022-476, 2022.

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