0000000000432793
AUTHOR
Vincent Badeau
Contribution of a new dynamic climate regionalization protocol for estimating the water balance of Douglas-fir forests
Quantifying the regionalized impacts of climate change on forests is a major ecologicaland socio-economic issue. The decline of Douglas-fir (Pseudotsuga menziesii) has been observed forabout 20 years and should be accelered. Recent work shows that regionalized estimation of waterbalance under forest canopy is hampered by the ability of regional climate models to correctlysimulate precipitation amount and seasonal cycle. Here we evaluate the ability of a new climateregionalization protocol to simulate a realistic precipitation regime required for the calculation offorest soil water balance.
Bias correction of dynamically downscaled precipitation to compute soil water deficit for explaining year-to-year variation of tree growth over northeastern France.
This paper documents the accuracy of a post-correction method applied to precipitation regionalized by the Weather Research and Forecasting (WRF) Regional Climate Model (RCM) for improving simulated rainfall and feeding impact studies. The WRF simulation covers Burgundy (northeastern France) at a 8-km resolution and over a 20-year long period (1989–2008). Previous results show a strong deficiency of the WRF model for simulating precipitation, especially when convective processes are involved. In order to reduce such biases, a Quantile Mapping (QM) method is applied to WRF-simulated precipitation using the mesoscale atmospheric analyses system SAFRAN («Système d'Analyse Fournissant des Rense…