Model based weather analysis

Graphical analysis of meteorological parameters and 4C model output variables

The parameters are measured by the long-term meteorological station Potsdam Telegraphenberg or simulated using these data by the forest growth model 4C. The model 4C delivers key parameters of the water and carbon budget of a 70-80 years old pine stand on a sandy soil (Cambisol) and a forest fire danger index.

In addition to the 1961-1990 comparison period, we have plotted the 30-year average 1991-2020, which shows a warmer and thus drier trend in soil water, especially in early summer.

From 01.01.2020, the DWD series of measurements was converted to fully automatic recordings. The measured values are available approximately two days later, so that our images are never from the current day.

Weather analysis

based on the forest growth model 4C (Lasch-Born, P. et al. 2019) see https://gitlab.pik-potsdam.de/foresee/4C

Mean daily temperature - annual variability

tmean

Mean daily temperature - cumulative annual variability

tmean cum

Precipitation - cumulative annual variability

prec

Soil water - annual variability

soil water

Water balance - cumulative annual variability

water balance

Fire risk index - cumulative annual variability

Fire Index cum

Fire risk index - frequency annual variability

fire Index

Evapotraspiration - cumulative annual variability

AET

Net primary production - cumulative annual variability

NPP

Global radiation - cumulative annual variability

radiation

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