| Issue |
E3S Web Conf.
Volume 149, 2020
Regional Problems of Earth Remote Sensing (RPERS 2019)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 6 | |
| Section | Monitoring of the Environment, Natural and Anthropogenic Objects and Phenomena | |
| DOI | https://doi.org/10.1051/e3sconf/202014903003 | |
| Published online | 05 February 2020 | |
Opportunities of short-term weather forecasts data in the environmental monitoring of the Kazakhstan
1 Institute of information and computing technologies MES, Almaty, 050010 Kazakhstan
2 RSE “Kazhydromet”, Almaty, 050022, Kazakhstan
3 al-Farabi Kazakh national University, Almaty, 050040, Kazakhstan
4 Almaty University of Power Engineering and Telecommunications, Almaty, 050013, Kazakhstan
* Corresponding author: aterekhov1@yandex.ru
This paper considers the possibilities of assimilation of FEWS NET (Famine early Warning System Network) products in natural resource monitoring of the territory of Kazakhstan in the cold period. With an area of 2.7 million km2, Kazakhstan is located in the center of Eurasia in the arid zone, and snow is one of the most important water sources in the first half of the vegetation season. The products “Snow Depth”, “Temperature” and “Precipitation” developed for Central Asia are based on model meteorological data, including short-term weather forecasts. This information, presented in the form of regular matrices, has several advantages in efficiency and spatial detailing over direct ground (remote) measurements of meteorological parameters. The use of FEWS NET products for the environmental monitoring of the entire territory of Kazakhstan or its separate parts is of benefit for assessing the current situation on snow reserves, weather regimes and prospects for spring snowmelt.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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