The current research analyses the climate change datasets from the Global Circular Models (GCM), data from official meteostations and Remote Sensing information as advanced technology and methods, aimed at improving research analyses in the context of climate change. Water is very important resource and its proper distribution and management in the agricultural areas is a challenge in conditions of the climate change. The method introduced in this paper represents an advanced methodology to compute climatic variables and their dynamic changes as well as remote sensing-based approaches for future equitable water distribution and its balance in small or large scale areas. Therefore, this research will give an overview of how to analyze the climate change and evapotranspiration (ET) rates using Global Circular Model (GCM) and Remote Sensing information for water management purposes. As evapotranspiration is part of water balance and is a key element for water management and irrigation scheduling, the achievements of this study can be used as a base data for more efficient water management in the region.
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Gafurov, Z A. and Kattakulov, F S.
"CLIMATE CHANGE ANALYSIS AND EVAPOTRANSPIRATION
CALCULATION FOR IRRIGATION SCHEDULING ON THE
EXAMPLE OF KARSHI STEPPE,"
Irrigation and Melioration: Vol. 2016
, Article 9.
Available at: https://uzjournals.edu.uz/tiiame/vol2016/iss2/9