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) …
A review of environmental droughts: Increased risk under global warming?
SM Vicente-Serrano, SM Quiring, M Peña-Gallardo… - Earth-Science …, 2020 - Elsevier
This article reviews current drought effects on environmental systems. It stresses the need
for considering environmental drought as a relevant type to be included in drought …
for considering environmental drought as a relevant type to be included in drought …
Climate change and drought: a perspective on drought indices
Droughts occur naturally, but climate change has generally accelerated the hydrological
processes to make them set in quicker and become more intense, with many consequences …
processes to make them set in quicker and become more intense, with many consequences …
Climatologies at high resolution for the earth's land surface areas
High-resolution information on climatic conditions is essential to many applications in
environmental and ecological sciences. Here we present the CHELSA (Climatologies at …
environmental and ecological sciences. Here we present the CHELSA (Climatologies at …
[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …
storms have devastating effects each year. One of the key challenges for society is …
[HTML][HTML] CHELSA-TraCE21k–high-resolution (1 km) downscaled transient temperature and precipitation data since the Last Glacial Maximum
High-resolution, downscaled climate model data are used in a wide variety of applications
across environmental sciences. Here we introduce a new, high-resolution dataset, CHELSA …
across environmental sciences. Here we introduce a new, high-resolution dataset, CHELSA …
Seasonal drought prediction: Advances, challenges, and future prospects
Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
Bias correcting climate change simulations-a critical review
D Maraun - Current Climate Change Reports, 2016 - Springer
Climate models are our major source of knowledge about climate change. The impacts of
climate change are often quantified by impact models. Whereas impact models typically …
climate change are often quantified by impact models. Whereas impact models typically …
Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes?
AJ Cannon, SR Sobie, TQ Murdock - Journal of Climate, 2015 - journals.ametsoc.org
Quantile mapping bias correction algorithms are commonly used to correct systematic
distributional biases in precipitation outputs from climate models. Although they are effective …
distributional biases in precipitation outputs from climate models. Although they are effective …
[HTML][HTML] Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables
AJ Cannon - Climate dynamics, 2018 - Springer
Most bias correction algorithms used in climatology, for example quantile mapping, are
applied to univariate time series. They neglect the dependence between different variables …
applied to univariate time series. They neglect the dependence between different variables …