Adaptation of urban drainage networks to climate change: A review
IM Kourtis, VA Tsihrintzis - Science of the Total Environment, 2021 - Elsevier
The present work reviews the main challenges regarding adaptation of urban drainage
networks to climate change by comparing 32 case studies from 29 articles, published …
networks to climate change by comparing 32 case studies from 29 articles, published …
Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects
Lake thermal dynamics have been considerably impacted by climate change, with potential
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …
Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community
D Jacob, C Teichmann, S Sobolowski… - Regional environmental …, 2020 - Springer
Abstract The European CORDEX (EURO-CORDEX) initiative is a large voluntary effort that
seeks to advance regional climate and Earth system science in Europe. As part of the World …
seeks to advance regional climate and Earth system science in Europe. As part of the World …
[HTML][HTML] High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand
The gap in resolution between existing global climate model output and that sought by
decision-makers drives an ongoing need for climate downscaling. Here we test the extent to …
decision-makers drives an ongoing need for climate downscaling. Here we test the extent to …
Configuration and intercomparison of deep learning neural models for statistical downscaling
J Baño-Medina, R Manzanas… - Geoscientific Model …, 2020 - gmd.copernicus.org
Deep learning techniques (in particular convolutional neural networks, CNNs) have recently
emerged as a promising approach for statistical downscaling due to their ability to learn …
emerged as a promising approach for statistical downscaling due to their ability to learn …
Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves
Abstract Intensity-duration-frequency (IDF) curves–sometimes also called precipitation
frequency estimates–are used to design urban drainage systems for stormwater control and …
frequency estimates–are used to design urban drainage systems for stormwater control and …
Future changes in water resources, floods and droughts under the joint impact of climate and land-use changes in the Chao Phraya basin, Thailand
Global Climate change and local human activities have profoundly affected the regional
hydrological cycle and water resources. It is imperative to explore the potential changes in …
hydrological cycle and water resources. It is imperative to explore the potential changes in …
[HTML][HTML] ESD reviews: Model dependence in multi-model climate ensembles: Weighting, sub-selection and out-of-sample testing
The rationale for using multi-model ensembles in climate change projections and impacts
research is often based on the expectation that different models constitute independent …
research is often based on the expectation that different models constitute independent …
Machine learning as a downscaling approach for prediction of wind characteristics under future climate change scenarios
Assessment of climate change impacts on wind characteristics is crucial for the design,
operation, and maintenance of coastal and offshore infrastructures. In the present study, the …
operation, and maintenance of coastal and offshore infrastructures. In the present study, the …
Design considerations for riverine floods in a changing climate–a review
Conventional methods for designing infrastructure that is subject to flood risk, such as dams
and levees, assume a stationary design flood. However, observed and potential non …
and levees, assume a stationary design flood. However, observed and potential non …