J. Liebert

The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

Climate change impact on available water resources obtained using multiple global climate and hydrology models

A novel bias correction methodology for climate impact simulations

A trend-preserving bias correction – the ISI-MIP approach

Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics

Pollution exacerbates China’s water scarcity and its regional inequality

Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015

Global water resources affected by human interventions and climate change

Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison

Climate Change 2022 – Impacts, Adaptation and Vulnerability

Climate change and interconnected risks to sustainable development in the Mediterranean

The Influence of Climate Model Biases on Projections of Aridity and Drought

Anthropogenic stresses on the world’s big rivers

Ensemble flood risk assessment in Europe under high end climate scenarios

Global projections of river flood risk in a warmer world

Water scarcity assessments in the past, present, and future

Towards process-informed bias correction of climate change simulations

Design considerations for riverine floods in a changing climate – A review

A nonstationary bias‐correction technique to remove bias in GCM simulations

Future climate risk from compound events

Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables

Global warming increases the frequency of river floods in Europe

HESS Opinions "Should we apply bias correction to global and regional climate model data?"