TY  - JOUR
AU  - Tootoonchi, Faranak
AU  - Todorović, Andrijana
AU  - Grabs, Thomas
AU  - Teutschbein, Claudia
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3141
AB  - Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared to the observations. In the past decade, several methods of different complexity and dimensionality for adjustment of such biases were introduced, but their benefits for impact studies and accurate streamflow projections are still debated. In this paper, we evaluated the ability of two state-of-the-art, advanced multivariate bias-adjustment methods to accurately reproduce 16 hydrological signatures, and compared their performance against two parsimonious univariate bias-adjustment methods based on a multi-criteria performance evaluation. The results indicated that all bias-adjustment methods considerably reduced biases and increased the consistency of simulated hydrological signatures. The added value of multivariate methods in maintaining dependence structures between precipitation and temperature was not systematically reflected in the resulting hydrological signatures, as they were generally outperformed by univariate methods. The benefits of multivariate methods only emerged for low-flow signatures in snowmelt-driven catchments. Based on these findings, we identified the most suitable bias-adjustment methods for water-resources management in Nordic regions under a changing climate, and provided practical guidelines for the selection of bias-adjustment methods given specific research targets and hydroclimatic regimes.
PB  - Elsevier
T2  - Journal of Hydrology
T1  - Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate
VL  - 623
DO  - 10.1016/j.jhydrol.2023.129807
ER  - 

@article{
author = "Tootoonchi, Faranak and Todorović, Andrijana and Grabs, Thomas and Teutschbein, Claudia",
year = "2023",
abstract = "Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared to the observations. In the past decade, several methods of different complexity and dimensionality for adjustment of such biases were introduced, but their benefits for impact studies and accurate streamflow projections are still debated. In this paper, we evaluated the ability of two state-of-the-art, advanced multivariate bias-adjustment methods to accurately reproduce 16 hydrological signatures, and compared their performance against two parsimonious univariate bias-adjustment methods based on a multi-criteria performance evaluation. The results indicated that all bias-adjustment methods considerably reduced biases and increased the consistency of simulated hydrological signatures. The added value of multivariate methods in maintaining dependence structures between precipitation and temperature was not systematically reflected in the resulting hydrological signatures, as they were generally outperformed by univariate methods. The benefits of multivariate methods only emerged for low-flow signatures in snowmelt-driven catchments. Based on these findings, we identified the most suitable bias-adjustment methods for water-resources management in Nordic regions under a changing climate, and provided practical guidelines for the selection of bias-adjustment methods given specific research targets and hydroclimatic regimes.",
publisher = "Elsevier",
journal = "Journal of Hydrology",
title = "Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate",
volume = "623",
doi = "10.1016/j.jhydrol.2023.129807"
}

Tootoonchi, F., Todorović, A., Grabs, T.,& Teutschbein, C.. (2023). Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate. in Journal of Hydrology
Elsevier., 623.
https://doi.org/10.1016/j.jhydrol.2023.129807

Tootoonchi F, Todorović A, Grabs T, Teutschbein C. Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate. in Journal of Hydrology. 2023;623.
doi:10.1016/j.jhydrol.2023.129807 .

Tootoonchi, Faranak, Todorović, Andrijana, Grabs, Thomas, Teutschbein, Claudia, "Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate" in Journal of Hydrology, 623 (2023),
https://doi.org/10.1016/j.jhydrol.2023.129807 . .

TY  - JOUR
AU  - Teutschbein, Claudia
AU  - Jonsson, Elise
AU  - Todorović, Andrijana
AU  - Tootoonchi, Faranak
AU  - Stenfors, Elin
AU  - Grabs, Thomas
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2900
AB  - Droughts can affect a multitude of public and private sectors, with impacts developing slowly over time. While droughts are traditionally quantified in relation to the hydrological components of the water cycle that they affect, this manuscript demonstrates a novel approach to assess future drought conditions through the lens of the water-energy-food-ecosystem (WEFE) nexus concept. To this end, a set of standardized drought indices specifically designed to represent different nexus sectors across 50 catchments in Sweden was computed based on an ensemble of past and future climate model simulations. Different patterns in the response of the four nexus sectors water, energy, food and ecosystem services to future climate change emerged, with different response times and drought durations across the sectors. These results offer new insights into the propagation of drought through the WEFE nexus in cold climates. They further suggest that future drought projections can be better geared towards decision makers by basing them on standardized drought indices that were specifically tailored to represent particular nexus sectors.
PB  - Elsevier
T2  - Journal of Hydrology
T1  - Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective
IS  - 128963
DO  - 10.1016/j.jhydrol.2022.128963
ER  - 

@article{
author = "Teutschbein, Claudia and Jonsson, Elise and Todorović, Andrijana and Tootoonchi, Faranak and Stenfors, Elin and Grabs, Thomas",
year = "2022",
abstract = "Droughts can affect a multitude of public and private sectors, with impacts developing slowly over time. While droughts are traditionally quantified in relation to the hydrological components of the water cycle that they affect, this manuscript demonstrates a novel approach to assess future drought conditions through the lens of the water-energy-food-ecosystem (WEFE) nexus concept. To this end, a set of standardized drought indices specifically designed to represent different nexus sectors across 50 catchments in Sweden was computed based on an ensemble of past and future climate model simulations. Different patterns in the response of the four nexus sectors water, energy, food and ecosystem services to future climate change emerged, with different response times and drought durations across the sectors. These results offer new insights into the propagation of drought through the WEFE nexus in cold climates. They further suggest that future drought projections can be better geared towards decision makers by basing them on standardized drought indices that were specifically tailored to represent particular nexus sectors.",
publisher = "Elsevier",
journal = "Journal of Hydrology",
title = "Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective",
number = "128963",
doi = "10.1016/j.jhydrol.2022.128963"
}

Teutschbein, C., Jonsson, E., Todorović, A., Tootoonchi, F., Stenfors, E.,& Grabs, T.. (2022). Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective. in Journal of Hydrology
Elsevier.(128963).
https://doi.org/10.1016/j.jhydrol.2022.128963

Teutschbein C, Jonsson E, Todorović A, Tootoonchi F, Stenfors E, Grabs T. Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective. in Journal of Hydrology. 2022;(128963).
doi:10.1016/j.jhydrol.2022.128963 .

Teutschbein, Claudia, Jonsson, Elise, Todorović, Andrijana, Tootoonchi, Faranak, Stenfors, Elin, Grabs, Thomas, "Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective" in Journal of Hydrology, no. 128963 (2022),
https://doi.org/10.1016/j.jhydrol.2022.128963 . .

TY  - JOUR
AU  - Tootoonchi, Faranak
AU  - Haerter, Jan O.
AU  - Todorović, Andrijana
AU  - Räty, Olle
AU  - Grabs, Thomas
AU  - Teutschbein, Claudia
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2842
AB  - For climate-change impact studies at the catchment scale, meteorological variables are typically extracted from ensemble simulations provided by global and regional climate models, which are then downscaled and bias-adjusted for each study site. For bias adjustment, different statistical methods that re-scale climate model outputs have been suggested in the scientific literature. They range from simple univariate methods that adjust each meteorological variable individually, to more complex and more demanding multivariate methods that take existing relationships between meteorological variables into consideration. Over the past decade, several attempts have been made to evaluate such methods in various regions. There is, however, still no guidance for choosing appropriate bias adjustment methods for a study at hand. In particular, the question whether the benefits of potentially improved adjustments outweigh the cost of increased complexity, remains unanswered.

This paper presents a comprehensive evaluation of the performance of two commonly used univariate and two multivariate bias adjustment methods in reproducing numerous univariate, multivariate and temporal features of precipitation and temperature series in different catchments in Sweden. The paper culminates in a discussion on trade-offs between the potential benefits (i.e., skills and added value) and disadvantages (complexity and computational demand) of each method to offer plausible, defensible and actionable insights from the standpoint of climate-change impact studies in high latitudes.

We concluded that all selected bias adjustment methods generally improved the raw climate model simulations, but that not a single method consistently outperformed the other methods. There were, however, differences in the methods' performance for particular statistical features, indicating that other practical aspects such as computational time and heavy theoretical requirements should also be taken into consideration when choosing an appropriate bias adjustment method.
PB  - Elsevier
T2  - Science of the Total Environment
T1  - Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate
IS  - 158615
VL  - 853
DO  - 10.1016/j.scitotenv.2022.158615
ER  - 

@article{
author = "Tootoonchi, Faranak and Haerter, Jan O. and Todorović, Andrijana and Räty, Olle and Grabs, Thomas and Teutschbein, Claudia",
year = "2022",
abstract = "For climate-change impact studies at the catchment scale, meteorological variables are typically extracted from ensemble simulations provided by global and regional climate models, which are then downscaled and bias-adjusted for each study site. For bias adjustment, different statistical methods that re-scale climate model outputs have been suggested in the scientific literature. They range from simple univariate methods that adjust each meteorological variable individually, to more complex and more demanding multivariate methods that take existing relationships between meteorological variables into consideration. Over the past decade, several attempts have been made to evaluate such methods in various regions. There is, however, still no guidance for choosing appropriate bias adjustment methods for a study at hand. In particular, the question whether the benefits of potentially improved adjustments outweigh the cost of increased complexity, remains unanswered.

This paper presents a comprehensive evaluation of the performance of two commonly used univariate and two multivariate bias adjustment methods in reproducing numerous univariate, multivariate and temporal features of precipitation and temperature series in different catchments in Sweden. The paper culminates in a discussion on trade-offs between the potential benefits (i.e., skills and added value) and disadvantages (complexity and computational demand) of each method to offer plausible, defensible and actionable insights from the standpoint of climate-change impact studies in high latitudes.

We concluded that all selected bias adjustment methods generally improved the raw climate model simulations, but that not a single method consistently outperformed the other methods. There were, however, differences in the methods' performance for particular statistical features, indicating that other practical aspects such as computational time and heavy theoretical requirements should also be taken into consideration when choosing an appropriate bias adjustment method.",
publisher = "Elsevier",
journal = "Science of the Total Environment",
title = "Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate",
number = "158615",
volume = "853",
doi = "10.1016/j.scitotenv.2022.158615"
}

Tootoonchi, F., Haerter, J. O., Todorović, A., Räty, O., Grabs, T.,& Teutschbein, C.. (2022). Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate. in Science of the Total Environment
Elsevier., 853(158615).
https://doi.org/10.1016/j.scitotenv.2022.158615

Tootoonchi F, Haerter JO, Todorović A, Räty O, Grabs T, Teutschbein C. Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate. in Science of the Total Environment. 2022;853(158615).
doi:10.1016/j.scitotenv.2022.158615 .

Tootoonchi, Faranak, Haerter, Jan O., Todorović, Andrijana, Räty, Olle, Grabs, Thomas, Teutschbein, Claudia, "Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate" in Science of the Total Environment, 853, no. 158615 (2022),
https://doi.org/10.1016/j.scitotenv.2022.158615 . .