Comparison of DKRZ Database and LARS-WG Model in Three Parameters of Minimum Temperature, Maximum Temperature and Precipitation (Case study: Qazvin plain)
Improving agriculture, water resources management, flood management, and preventing environmental damage in future periods requires predicting climate data and adapting management and macro decisions to these changes. Today, it is possible to predict this data by using models and web databases. For...
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| Main Authors: | Fatemeh Borzoo, Hadi Ramezani Etedali, Abbas Kaviani |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
I.R. of Iran Meteorological Organization
2022-03-01
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| Series: | Nīvār |
| Subjects: | |
| Online Access: | https://nivar.irimo.ir/article_157601_04849655c7b75b9a84f39f4c9b15447a.pdf |
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