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) …

Future climate risk from compound events

J Zscheischler, S Westra, BJJM Van Den Hurk… - Nature climate …, 2018 - nature.com
Floods, wildfires, heatwaves and droughts often result from a combination of interacting
physical processes across multiple spatial and temporal scales. The combination of …

Framing, Context, and Methods (Chapter 1)

D Chen, M Rojas, BH Samset, K Cobb… - 2021 - pure.iiasa.ac.at
Working Group I (WGI) of the Intergovernmental Panel on Climate Change (IPCC) assesses
the current evidence on the physical science of climate change, evaluating knowledge …

Storylines: an alternative approach to representing uncertainty in physical aspects of climate change

TG Shepherd, E Boyd, RA Calel, SC Chapman… - Climatic change, 2018 - Springer
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 …

Flood hazard potential reveals global floodplain settlement patterns

L Devitt, J Neal, G Coxon, J Savage… - Nature …, 2023 - nature.com
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 …

Climate change and the hydropower sector: A global review

A Wasti, P Ray, S Wi, C Folch… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
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 …

[图书][B] Statistical downscaling and bias correction for climate research

D Maraun, M Widmann - 2018 - books.google.com
Statistical downscaling and bias correction are becoming standard tools in climate impact
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

F Pianosi, K Beven, J Freer, JW Hall, J Rougier… - … Modelling & Software, 2016 - Elsevier
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 …

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 …

Models with higher effective dimensions tend to produce more uncertain estimates

A Puy, P Beneventano, SA Levin, S Lo Piano… - Science …, 2022 - science.org
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 …