首页> 外文期刊>Arid Ecosystems >Implementation of Markov Chains for Probabilistic Forecast of Different Conditions of Moistening in Vegetation Period Based on Example of Voronezh
【24h】

Implementation of Markov Chains for Probabilistic Forecast of Different Conditions of Moistening in Vegetation Period Based on Example of Voronezh

机译:基于沃罗涅日实例的马尔可夫链在植被不同湿度条件下概率预报的实现

获取原文
获取原文并翻译 | 示例
           

摘要

A methodological approach to assessing the probability of the occurrence of different moisture conditions during certain months of the vegetation period for the territory of Voronezh using Markov chains based on long-term observations of air temperature and precipitation is proposed.
机译:提出了一种方法方法,该方法基于对气温和降水的长期观测,利用马尔可夫链评估沃罗涅日地区植被时期某些月份内不同湿度条件发生的可能性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号