Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sohrab Kolsoumi"'
Publikováno v:
International Journal of Biometeorology. 63:861-872
Clustering algorithms are critical data mining techniques used to analyze a wide range of data. This study compares the utility of ant colony optimization (ACO), genetic algorithm (GA), and K-means methods to cluster climatic variables affecting the
Autor:
Sohrab Kolsoumi, Azar Zarrin, Ali Khazaee Farid, Majid Hasheminia, Fateme Hosseini, Nasrin Salehnia
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences. 55:737-749
Precise evaluations of climate model precipitation outputs are valuable for making decisions regarding agriculture, water resource, and ecosystem management. Many downscaling techniques have been developed in the past few years for projection of weat
Publikováno v:
Climate Research. 77:99-114
Publikováno v:
Ecological Indicators. 90:569-576
Climate change involves long term changes in climate including increase in temperature, elevated CO2 and uneven distribution of rainfall quantity and periodicity. Though daily mean temperature (Tmean) is considered a widely useful index of assessment
Publikováno v:
Theoretical and Applied Climatology. 134:1005-1014
Meteorological drought indices associated with soil moisture status have potential for varying applications including predictive power for crop yields estimation. The Keetch-Byram Drought Index (KBDI) was initially developed to estimate forest flamma
Publikováno v:
Ecological Indicators. 111:105991
Agriculture productions play significant roles in economic development. Extreme weather events, especially drought under climate change conditions, can affect future crop production. Nowadays, researchers are trying to apply modeling approaches for e