This paper documents the accuracy of a post-correction method applied to precipitation
regionalized by the Weather Research and Forecasting (WRF) Regional Climate Model …

This paper documents the capability of the ARW/WRF regional climate model to regionalize
near-surface atmospheric variables at high resolution (8 km) over Burgundy (northeastern …

This work presents a new bias-correction method for precipitation over complex terrain that
explicitly considers orographic characteristics. This consideration offers a good alternative to …

Modeling soil water availability for tropical trees is a prerequisite to predicting the future
impact of climate change on tropical forests. In this paper we develop a discrete-time …

Global and regional climate models (GCM and RCM) are generally biased and cannot be
used as forcing variables in ecological impact models without some form of prior bias …

Abstract The Weather Research and Forecasting (WRF) model, driven laterally by ERA-
Interim reanalyses, is used here to downscale rainfall, at relatively high resolution (~ 8 km) …

Regional climate modelling is used to simulate the hydrological cycle, which is fundamental
for climate impact investigations. However, the output of these models is affected by biases …

Soil moisture is an important driver of growth in boreal Alaska, but estimating soil hydraulic
parameters can be challenging in this data‐sparse region. Parameter estimation is further …

The study presents a daily water balance model with a focus on quantifying drought intensity
and duration in different forest stands within the Level II monitoring sites in Saxony. The …

This paper investigates the impacts of climatic variations on coniferous ecosystems using a
physiologically-based model. The investigation is based on the assumption that the overall …