Convection‐permitting modeling with regional climate models: Latest developments and next steps
P Lucas‐Picher, D Argüeso, E Brisson… - Wiley …, 2021 - Wiley Online Library
Approximately 10 years ago, convection‐permitting regional climate models (CPRCMs)
emerged as a promising computationally affordable tool to produce fine resolution (1–4 km) …
emerged as a promising computationally affordable tool to produce fine resolution (1–4 km) …
Future climate risk from compound events
Floods, wildfires, heatwaves and droughts often result from a combination of interacting
physical processes across multiple spatial and temporal scales. The combination of …
physical processes across multiple spatial and temporal scales. The combination of …
Storylines: an alternative approach to representing uncertainty in physical aspects of climate change
As climate change research becomes increasingly applied, the need for actionable
information is growing rapidly. A key aspect of this requirement is the representation of …
information is growing rapidly. A key aspect of this requirement is the representation of …
Flood hazard potential reveals global floodplain settlement patterns
Flooding is one of the most common natural hazards, causing disastrous impacts worldwide.
Stress-testing the global human-Earth system to understand the sensitivity of floodplains and …
Stress-testing the global human-Earth system to understand the sensitivity of floodplains and …
Climate change and the hydropower sector: A global review
Renewable sources of electricity, such as solar and wind, need to be paired with sources of
reliable baseload. Hydropower is a renewable, low‐emission source of electricity baseload …
reliable baseload. Hydropower is a renewable, low‐emission source of electricity baseload …
[图书][B] Statistical downscaling and bias correction for climate research
Statistical downscaling and bias correction are becoming standard tools in climate impact
studies. This book provides a comprehensive reference to widely-used approaches, and …
studies. This book provides a comprehensive reference to widely-used approaches, and …
[HTML][HTML] Sensitivity analysis of environmental models: A systematic review with practical workflow
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …
can be attributed to variations of its input factors. SA is increasingly being used in …
Uncertainty in climate change impacts on water resources
ZW Kundzewicz, V Krysanova, RE Benestad… - … Science & Policy, 2018 - Elsevier
The uncertainty concepts play a prominent role in global environmental change research,
including climate change science and climate change impact science, with hydrology and …
including climate change science and climate change impact science, with hydrology and …
Models with higher effective dimensions tend to produce more uncertain estimates
Mathematical models are getting increasingly detailed to better predict phenomena or gain
more accurate insights into the dynamics of a system of interest, even when there are no …
more accurate insights into the dynamics of a system of interest, even when there are no …