Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-map** method: Advantages of a linear correction for extremes
High-resolution, daily precipitation climate products that realistically represent extremes are
critical for evaluating local-scale climate impacts. A popular bias-correction method …
critical for evaluating local-scale climate impacts. A popular bias-correction method …
The importance of weather and climate to energy systems: a workshop on next generation challenges in energy–climate modeling
Next Generation Challenges in Energy-Climate Modeling What: Over 80 international
participants, representing weather, climate, and energy systems research, joined two 4-h …
participants, representing weather, climate, and energy systems research, joined two 4-h …
An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions
Low‐likelihood weather events can cause dramatic impacts, especially when they are
unprecedented. In 2020, amongst other high‐impact weather events, UK floods caused …
unprecedented. In 2020, amongst other high‐impact weather events, UK floods caused …
Hydrological droughts in the southern Andes (40–45 S) from an ensemble experiment using CMIP5 and CMIP6 models
The decrease in freshwater input to the coastal system of the Southern Andes (40–45° S)
during the last decades has altered the physicochemical characteristics of the coastal water …
during the last decades has altered the physicochemical characteristics of the coastal water …
Assessing the impact on crop modelling of multi-and uni-variate climate model bias adjustments
CONTEXT Crop models are essential tools for assessing the impact of climate change on
national or regional agricultural production. Starting from meteorology, soil and crop …
national or regional agricultural production. Starting from meteorology, soil and crop …
[HTML][HTML] Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia
Simulations of seven regional climate models (RCMs) from CORDEX-SEA were bias-
corrected using the quantile map** (QM) method to examine the possible ranges of future …
corrected using the quantile map** (QM) method to examine the possible ranges of future …
Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran)
Climate change is expected to change the frequency, duration, intensity, and pattern of
precipitation, underscoring the need for accurate predictive tools. Earth system models …
precipitation, underscoring the need for accurate predictive tools. Earth system models …
Improved estimation of extreme floods with data pooling and mixed probability distribution
The accurate estimation of flood probability is crucial for designing water storage and flood
retention structures. However, the assumption of identical distribution in flood samples is …
retention structures. However, the assumption of identical distribution in flood samples is …
Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts
Global climate models (GCMs) are important tools for understanding the climate system and
how it is projected to evolve under scenario-driven emissions pathways. Their output is …
how it is projected to evolve under scenario-driven emissions pathways. Their output is …
[HTML][HTML] Decline of sea-ice in the Greenland Sea intensifies extreme precipitation over Svalbard
Extreme precipitation over the Svalbard Archipelago in the Arctic can have severe
consequences for the ecosystem and society. In recent years several extreme precipitation …
consequences for the ecosystem and society. In recent years several extreme precipitation …