MODIS imagery based water content forecasting methodology for mountain rivers in Central Asia

J.B. Niyazov¹*, O.Yu. Kalashnikova², A.A. Gafurov³

¹ Institute of Water Problems, Hydropower and Ecology of National Academy of Sciences of the Republic of  Tajikistan

² Central-Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyz Republic

³ GFZ German Research Centre for Geosciences, Potsdam, Germany

* Corresponding author: niyazovjafar@mail.ru

O.Yu. Kalashnikova: o.kalashnikova@caiag.kg; A.A. Gafurov: gafurov@gfz-potsdam.de

December 20, 2020

Research paper

Abstract

The article investigates the possibility of using snow cover satellite data for short-term hydrological forecasting for Central Asian rivers with high-altitude catchments.  The research aimed to elaborate a methodology for forecasting mean 10-day (decadal) river discharge (MDD) of the Varzob and Tar Rivers based on MODSNOW-processed MODIS satellite imagery.  The objectives of the study were to calculate the snow cover index (SCI) for high-altitude zones in 200 m increments for selected river basins, and to analyze the closeness of dependency between the corresponding SCIs and MDDs.  The research resulted in equations applicable for producing operational river water content forecasts.  Timely and reliable information on expected river water content during the forthcoming 10-day period allows decision makers (water management and hydropower agencies, emergency authorities) plan water supply for various economic sectors, as well as take measures to prevent hazardous hydrological phenomena on the rivers of Tajikistan and Kyrgyzstan.

For citation:  Niyazov, J. B., Kalashnikova, O. Y. and Gafurov, A. A. (2020) ‘MODIS Imagery Based Water Content for Mountain Rivers in Central Asia Forecasting Methodology’, Central Asian Journal of Water Research, 6(2), pp. 66–78. doi: 10.29258/CAJWR/2020-R1.v6-2/66-78.eng.

References

1. Apel, H., Abdykerimova, Z., Agalkhanova, M. et al. (2018).  Statistical forecast of seasonal discharge in Central Asia using observational records: development of a generic linear modelling tool for operational water resource management.  Hydrology Earth System Sciences, 2018, №2, pp. 2225-2254 (doi: 10.5194/hess-22-2225-2018);
2. Baumgartner, M., Spreafico, M., Weiss, H. (2000).  Operational snowmelt runoff forecasting in the Central Asian mountains.  Remote Sensing and Hydrology 2000 (Proceedings of a symposium held at Santa Fe, New Mexico, USA, April 2000).  IAHS-AISH Publication, No. 267, pp. 66-71;
3. Catalogue of glaciers of the USSR [Katalog lednikov SSSR] (Ed.-in-chief O.N. Vinogradov), vol. 14.  L.: Gidrometeoizdat, 1980, p. 44 [in Russian];
4. Gafurov, A., Bárdossy, A. (2009).  Cloud removal methodology from MODIS snow cover products.  Hydrology and Earth System Sciences, 2009, № 3(7), pp. 1361-1373 (doi: 10.5194/hess-13-1361-2009);
5. Gafurov, A.,Kalashnikova, O., Apel, H. (2019).  Hydrological forecast based on the snow cover index, derived from basin-wide and elevation specific remote sensing snow cover data in mountainous basins.  Geophysical Research Abstracts.  Vienna: EGU2019, 2019, vol. 21, EGU2019-12817;
6. Gafurov, A., Lüdtke, S., Unger-Shayesteh, K., Vorogushyn, S., Schöne, T., Schmidt, S., Kalashnikova, O., Merz, B. (2016).  MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data.  Environmental Earth Science, 2016, №75(14), p. 1078 (doi: 10.1007/s12665-016-5869-x);
7. Gafurov, A., Nurbatsina, A., Kalashnikova, O. (2018).  Assessment of water resources in Central Asia by remote sensing methods [Ocenka vodnyh resursov v Central’noj Azii metodami distancionnogo zondirovanija].  New methods and results of landscape research in Europe, Central Asia and Siberia [Novye metody i rezul’taty issledovanij landshaftov v Evrope, Central’noj Azii i Sibiri], edited by Sycheva, V. and Muller, L.) in 5 volumes, 2018, vol. 2, pp. 405-409 [in Russian];
8. Gerlitz, L., Vorogushyn, S., Gafurov, A. (2020).  Climate informed seasonal forecast of water availability in Central Asia: State-of-the-art and decision making context.  Water Security, 2020, vol. 10, 100061 (doi: 10.1016/j.wasec.2020.100061);
9. Guided Tutorial for Forecasting Services [Nastavlenie po sluzhbe prognozov].  Section 3, part 1. L.: Gidrometeoizdat, 1962, p. 196 [in Russian];
10. Kalashnikova, O., Gafurov, A. (2017).  Using ground and satellite data on snow cover to predict the Naryn River runoff [Ispol’zovanie nazemnyh i sputnikovyh dannyh o snezhnom pokrove dlja prognoza stoka reki Naryn].  Ice and Snow [Led i sneg], 2017, vol. 57, №4, pp. 507-517 [in Russian];
11. Kalashnikova, O.Yu. (2015).  On the issue of developing methods for long-term forecasting of mountain river runoff and water inflow to reservoir: Naryn River case study [K razrabotke metodov dolgosrochnogo prognoza stoka gornyh rek i pritoka vody v vodohranilishhe na primere reki Naryn].  Science, new technologies and innovations of Kyrgyzstan [Nauka i novye tehnologii i innovacii Kyrgyzstana], 2015, №5, pp. 100-103 [in Russian];
12. Kalashnikova, O.Yu., Gafurov, A.A., Omorova, E.A. (2020).  Forecasting the water content of the Naryn River for the growing season months based on MODIS imagery [Prognoz vodnosti reki Naryn na mesjacy vegetacionnogo perioda na osnove snimkov MODIS].  Science, new technologies and innovations of Kyrgyzstan [Nauka i novye tehnologii i innovacii Kyrgyzstana], 2020, №3, pp. 14-18 [in Russian];
13. Niyazov, J.B., Kalashnikova, O.Yu., Gafurov, A.A. (2020).  Water resource assessment of the Pamir-Alai rivers by remote sensing methods (Kafirnigan and Gunt Rivers case studies) [Ocenka vodnyh resursov rek Pamiro-Alaja metodami distancionnogo zondirovanija (na primere rek Kafirnigan i Gunt)].  KRSU Bulletin [Vestnik KRSU], 2020, vol. 20, №4, pp. 152-157 [in Russian];
14. Pertzinger, F., Baumgartner, M., Kobilov, T., Schulz, A., Vaselina, L. (2002).  Model of snow cover formation and methodics of long-term prediction of inflow into water reservoir during flood season.  Proceedings, International Conference on Flood Estimation, Bern, Switzerland;
15. Podrezov, O.A. (2019).  Methods of statistical processing and analysis of hydrometeorological observations: textbook for bachelor hydrometeorologists [Metody statisticheskoj obrabotki i analiza gidrometeorologicheskih nabljudenij: ucheb. dlja bakalavrov-gidrometeorologov].  Bishkek: KRSU.  2019, p. 170 [in Russian];
16. Rango, A., Salomonson, V., Foster, J. (1977).  Seasonal streamflow estimation in the Hymalayan region employing meteorological satellite snow cover observations.  Water Resources Research, 1977, vol. 13, No. 1, pp. 109-112;
17. Shabunin, A.G. (2018).  Catalogue of glaciers of Kyrgyzstan [Katalog lednikov Kyrgyzstana].  Central Asian Institute for Applied Geosciences (CAIAG).  Bishkek, 2018, p. 709 [in Russian];
18. Shults, V.L. (1965).  Rivers of Central Asia [Reki Srednej Azii].  L.: Izd-vo GIMIZ, 1965, p. 680 [in Russian].