Articles | Volume 17
https://doi.org/10.5194/asr-17-23-2020
https://doi.org/10.5194/asr-17-23-2020
16 Apr 2020
 | 16 Apr 2020

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

Otto Hyvärinen, Ari Venäläinen, and Andrea Vajda

Viewed

Total article views: 1,495 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,082 340 73 1,495 61 72
  • HTML: 1,082
  • PDF: 340
  • XML: 73
  • Total: 1,495
  • BibTeX: 61
  • EndNote: 72
Views and downloads (calculated since 16 Apr 2020)
Cumulative views and downloads (calculated since 16 Apr 2020)

Viewed (geographical distribution)

Total article views: 1,363 (including HTML, PDF, and XML) Thereof 1,362 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
The monthly mean soil moisture forecasts for forestry are been developed in the Finnish Meteorological Institute in cooperation with Finnish end-users. Such forecasts help in timber harvesting planning, and forecasts could large economic value. Therefore the skillfulness of forecasts was measured. Throughout the year the first month was skillful, and after that it can be hard to say if the forecasts are better than the normal conditions. Winter forecasts are a bit better than summer forecasts.