[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] 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 …
Climate adaptation as a control problem: Review and perspectives on dynamic water resources planning under uncertainty
Climate change introduces substantial uncertainty to water resources planning and raises
the key question: when, or under what conditions, should adaptation occur? A number of …
the key question: when, or under what conditions, should adaptation occur? A number of …
[PDF][PDF] Selecting representative climate models for climate change impact studies: an advanced envelope-based selection approach
Climate change impact studies depend on projections of future climate provided by climate
models. The number of climate models is large and increasing, yet limitations in …
models. The number of climate models is large and increasing, yet limitations in …
Caveats for correlative species distribution modeling
Correlative species distribution models are becoming commonplace in the scientific
literature and public outreach products, displaying locations, abundance, or suitable …
literature and public outreach products, displaying locations, abundance, or suitable …
Improving the contribution of climate model information to decision making: the value and demands of robust decision frameworks
In this paper, we review the need for, use of, and demands on climate modeling to support
so‐called 'robust'decision frameworks, in the context of improving the contribution of climate …
so‐called 'robust'decision frameworks, in the context of improving the contribution of climate …
The Statistical Downscaling Model: insights from one decade of application.
Abstract ABSTRACT The Statistical DownScaling Model (SDSM) is a freely available tool
that produces high resolution climate change scenarios. The first public version of the …
that produces high resolution climate change scenarios. The first public version of the …
[HTML][HTML] How will the progressive global increase of arid areas affect population and land-use in the 21st century?
J Spinoni, P Barbosa, M Cherlet, G Forzieri… - Global and Planetary …, 2021 - Elsevier
One of the possible consequences of projected global warming is the progressive
enlargement of drylands. This study investigates to what extent population and land-use …
enlargement of drylands. This study investigates to what extent population and land-use …
Dynamical downscaling of regional climate: A review of methods and limitations
The traditional dynamical downscaling (TDD) method employs continuous integration of
regional climate models (RCM) with the general circulation model (GCM) providing the initial …
regional climate models (RCM) with the general circulation model (GCM) providing the initial …
A review on regional dynamical downscaling in intraseasonal to seasonal simulation/prediction and major factors that affect downscaling ability
Regional climate models (RCMs) have been developed and extensively applied for
dynamically downscaling coarse resolution information from different sources, such as …
dynamically downscaling coarse resolution information from different sources, such as …