Editorial: Understanding Hydrological Extremes and Their Impact in a Changing Climate: Observations, Modeling and Attribution

Climate extremes: observations, modeling, and impacts.

One of the major concerns with a potential change in climate is that an increase in extreme events will occur. Results of observational studies suggest that in many areas that have been analyzed, changes in total precipitation are amplified at the tails, and changes in some temperature extremes have been observed. Model output has been analyzed that shows changes in extreme events for future cl...

Mekong River flow and hydrological extremes under climate change

Climate change poses critical threats to waterrelated safety and sustainability in the Mekong River basin. Hydrological impact signals from earlier Coupled Model Intercomparison Project phase 3 (CMIP3)-based assessments, however, are highly uncertain and largely ignore hydrological extremes. This paper provides one of the first hydrological impact assessments using the CMIP5 climate projections...

Drought, Deluge and Declines: The Impact of Precipitation Extremes on Amphibians in a Changing Climate

The Class Amphibia is one of the most severely impacted taxa in an on-going global biodiversity crisis. Because amphibian reproduction is tightly associated with the presence of water, climatic changes that affect water availability pose a particularly menacing threat to both aquatic and terrestrial-breeding amphibians. We explore the impacts that one facet of climate change-that of extreme var...

Compound extremes in a changing climate - a Markov Chain approach

There is no clear justification for the choice of the 6 box-regions and their size (6x6 14 grid points). Why they are representative of the PRUDENCE regions? Some min15 imal study about the spatial robustness of the Markov diagnostics should be pre16 sented. For example, does the results keep similar or change substantially when 17 contiguous boxes are considered? The ideal should be to present...

Nonlinear Time Series Models and Their Extremes, with Hydrological Applications