Bias-adjusted seasonal forecasts of soil moisture for forestry applications in Finland

Q2 Earth and Planetary Sciences Advances in Science and Research Pub Date : 2020-04-16 DOI:10.5194/asr-17-23-2020
Otto Hyvärinen, A. Venäläinen, A. Vajda
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引用次数: 3

Abstract

Abstract. Seasonal forecasts for forestry have been developed in the Finnish Meteorological Institute in cooperation with Finnish end-users. Such forecasts could help forest companies in preparing for adverse conditions of timber harvesting operations. Bearing capacity for harvesting operations is dependent on soil moisture, and skillful forecasts have potentially large economic value. Using the ECMWF seasonal forecasts, we evaluated the monthly mean soil moisture forecasts for four different start months, with lead times from 0 to 2 months. Forecasts were bias adjusted, and showed skill in the first month for all four months. After the first lead month, winter months fared a bit better than summer months.
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芬兰林业应用土壤湿度的偏差调整季节性预报
摘要芬兰气象研究所同芬兰的最终用户合作,编制了林业的季节预报。这种预报可以帮助森林公司为木材采伐作业的不利条件做好准备。收获作业的承载能力取决于土壤湿度,熟练的预报具有潜在的巨大经济价值。利用ECMWF的季节预报,我们评估了4个不同开始月份的月平均土壤湿度预报,预估时间从0到2个月不等。预测经过了偏差调整,在所有四个月的第一个月都显示出了技巧。在第一个先导月之后,冬季几个月的表现略好于夏季几个月。
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来源期刊
Advances in Science and Research
Advances in Science and Research Earth and Planetary Sciences-Geophysics
CiteScore
4.10
自引率
0.00%
发文量
13
审稿时长
22 weeks
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