Forest climatology: estimation and use of daily climatological data for Bavaria, Germany

Youlong Xia, Peter Fabian, Martin Winterhalter, Mei Zhao

    Research output: Contribution to journalArticlepeer-review

    40 Citations (Scopus)

    Abstract

    Long-term daily climatological data are important to study forest damage and simulate tree growth, but they are scarce in forested areas because observational records are often scarce. At the eight Bavarian forest sites, we examined six interpolation methods and established empirical transfer functions relating observed forest climate data to the climate data of German weather stations. Based on our comparisons, a technique is developed and used to reconstruct 31-year daily forest climatological data at six forest sites. The reconstructed climate data were then used to calculate four meteorological stress factors which are of importance to forest studies. Finally, the uncertainties, temporal and spatial variation of these stress factors were discussed.
    Original languageEnglish
    Pages (from-to)87-103
    Number of pages17
    JournalAgricultural and Forest Meteorology
    Volume106
    Issue number2
    DOIs
    Publication statusPublished - 2001

    Keywords

    • Comparison
    • Empirical transfer functions
    • Forest climate stations
    • Interpolation
    • Meteorological stress factors
    • Reconstruction
    • Weather stations

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