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Now showing items 1-16 of 16
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
Abstract In this study, we aim to better understand the current and future projections of precipitation extremes in Europe in the context of climatic variability over a long-term period from the last millennium to the end ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
Global gridded precipitations have been extensively considered as the input of hydrological models for runoff simulations around the world. However, the limitations of hydrologic models and the inaccuracies of the precipitation ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal gaps of in-situ gauging networks, but estimation biases can limit their reliable applications in hydrological monitoring and ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
The multi-model combination is a technique to improve the performances of hydrological streamflow simulations. An area that has not been investigated much is the performance dependence of combination techniques on the ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
The quantification of climate change impacts on hydrology is subjected to multiple uncertainty sources. Large ensembles of hydrological simulations based on multimodel ensembles (MMEs) have been commonly applied to represent ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Abstract
Large-scale hydrological models are important tools for simulating the hydrological effect of climate change. As an indispensable part of the application of distributed hydrological models, large-scale ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Ensemble weather forecasting generally suffers from bias and under‐dispersion, which limit its predictive power. Several post‐processing methods have been developed to overcome these limitations, and an intercomparison is ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Bias correction techniques are widely used to bridge the gap between climate model outputs and input requirements of hydrological models to assess the climate change impacts on hydrology. In addition to univariate bias ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Abstract
Bias correction methods are based on the assumption of bias stationarity of climate model outputs. However, this assumption may not be valid, because of the natural climate variability. This study ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
As a major weather-driven disaster, drought can be assessed from meteorological to hydrological aspects. Although the propagation from meteorological to hydrological droughts has received lots of attention in recent years, ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Bias correction methods are routinely used to correct climate model outputs for hydrological and agricultural impact studies. Even though superior bias correction methods can correct the distribution of daily precipitation ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
The Clausius‐Clapeyron relationship holds that the atmospheric water vapor content enhances with warming temperatures, suggesting intensifications of precipitable water and also altering runoff generation. Drought conditions ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
This study comprehensively evaluates eight satellite-based precipitation datasets in streamflow simulations on a monsoon-climate watershed in China. Two mutually independent datasets—one dense-gauge and one gauge-interpolated ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
The climate change and Land Use/Land Cover (LULC) change both have an important impact on the rainfall-runoff processes. How to quantitatively distinguish and predict the impacts of the above two factors has been a hot ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
Merging gauge observation with a single original satellite-based precipitation product (SPP) is a common approach to generate spatial precipitation estimates. For the generation of high-quality precipitation maps, however, ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
Changing conditions of the climate and underlying surface have altered the rainfall-runoff relationships in many basins, greatly increasing additional challenges in the applicability of hydrological models for studying the ...