Article
Geosciences, Multidisciplinary
Kum-Ryong Jo, Ki-Song Pak
Summary: This study tests the nonlinear bias-correction method of RCM outputs and finds that it significantly improves the accuracy and probability distribution of the model. The bias-corrected forecast shows significant improvement in precipitation and temperature, and also improves the correlation coefficient, skill score, and MAE skill.
JOURNAL OF EARTH SYSTEM SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Youngil Kim, Jason P. Evans, Ashish Sharma
Summary: Global climate models have limitations in simulating the diurnal cycle, but improvements can be achieved through bias-corrected regional climate models. By correcting the boundary conditions, particularly in regions with significant diurnal rainfall, the diurnal pattern of rainfall can be more accurately simulated. Correcting systematic sub-daily multivariate biases in the boundary conditions is particularly important for short-term intense precipitation events in regional climate models.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Youngil Kim, Jason P. Evans, Ashish Sharma
Summary: To improve modeling capacities, a better understanding of physical relationships and higher skill climate models are needed. Regional Climate Models (RCMs) are commonly used to resolve finer scales, but their application is restricted by systematic biases within Global Climate Models (GCMs) datasets. Hence, it is advisable to remove these biases in GCM simulations prior to downscaling. Various techniques have been formulated to correct the biases, but most correct each variable independently, leading to physical inconsistencies. This study investigates bias corrections ranging from simple to complex techniques and shows that applying bias correction to RCM boundaries significantly improves model performance, with multivariate bias correction better representing extreme events.
Article
Engineering, Civil
David E. Robertson, Francis H. S. Chiew, Nicholas Potter
Summary: Global circulation models (GCMs) provide important insights into future climate change. Bias-correction of downscaled GCM output is integral to any hydrological investigations of climate change due to discrepancies between the statistics of downscaled GCM simulations and observations.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Kue Bum Kim, Hyun-Han Kwon, Dawei Han
Summary: The study proposed an integrated framework combining bias correction of regional climate model precipitation and simulated flow from rainfall-runoff model, considering the uncertainty in distribution function parameters. Four different bias correction approaches were explored to reduce systematic biases in flow simulated by hydrological models using RCM precipitation as input. The Case-4 model, which corrects RCM precipitation and flow by preserving their natural variabilities, showed the best performance in terms of bias correction and spread of flow ensemble from a hydrological perspective.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Yi Wu, Chiyuan Miao, Xuewei Fan, Jiaojiao Gou, Qi Zhang, Haiyan Zheng
Summary: Decomposing the uncertainty of global climate models is crucial for understanding climate change. The study compares sources of uncertainty in temperature and precipitation projections from different phases of the Coupled Model Intercomparison Project and investigates the effectiveness of bias correction methods. The findings provide insights into model characteristics and offer decision-makers more accurate information for climate mitigation and adaptation measures.
Article
Meteorology & Atmospheric Sciences
Lianhuan Zhu, Weizhen Kang, Wei Li, Jing-Jia Luo, Yingqi Zhu
Summary: This study introduces four statistical bias correction methods to correct the simulated daily precipitation in the Yangtze-Huaihe River Basin in China. The performance of these methods in reproducing the probability distribution of observed precipitation and extremes is evaluated. Results show that quantile mapping (QM) has the most significant improvement in simulating the probability distributions of daily precipitation, while linear scaling (LS), distribution mapping (DM), and cumulative distribution function transform (CDFt) perform well in total precipitation and moderate rainy days. Only QM can reduce the biases of rainfall days, precipitation intensity, and 95% quantile precipitation simultaneously. However, DM is less effective in characterizing the probability distribution of model-simulated precipitation, especially for heavy precipitation.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Tamer A. Gado, Mahmoud B. Mohameden, Ibrahim M. H. Rashwan
Summary: This study projected the future temperature change for Egypt, finding that all temperature indices are expected to significantly increase, with the largest temperature rise occurring in the summer. The regions most affected by climate change are the Western Desert and Upper Egypt, while the northern region is the least affected.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Civil
Amulya Chevuturi, Maliko Tanguy, Katie Facer-Childs, Alberto Martinez-de la Torre, Sunita Sarkar, Stephan Thober, Luis Samaniego, Oldrich Rakovec, Matthias Kelbling, Edwin H. Sutanudjaja, Niko Wanders, Eleanor Blyth
Summary: There is an immediate need to develop accurate and reliable global hydrological forecasts in light of the future vulnerability to hydrological hazards and water scarcity under a changing climate. This study investigated different approaches to blending multi-model simulations for developing operational global forecasts, using the ULYSSES dataset. The results showed that weighted blending in conjunction with bias-correction provided the best improvement in performance for the catchments investigated, indicating the potential to implement this approach globally.
JOURNAL OF HYDROLOGY
(2023)
Article
Astronomy & Astrophysics
Chandra Rupa Rajulapati, Simon Michael Papalexiou
Summary: Bias correction methods are used to adjust simulations from climate models and make them suitable for decision-making. In this study, a semi-parametric quantile mapping (SPQM) method is introduced to correct bias in daily precipitation. The SPQM method corrects simulations based on observations and assumes that the detrended simulations have the same distribution as the observations. The results show that the SPQM method performs well in reproducing observed statistics and wet and dry spells.
EARTH AND SPACE SCIENCE
(2023)
Article
Engineering, Civil
Faranak Tootoonchi, Andrijana Todorovic, Thomas Grabs, Claudia Teutschbein
Summary: Hydrological climate-change-impact studies depend on climate models, but the outputs of these models often have systematic biases compared to observations. Various bias-adjustment methods have been introduced, but their benefits for impact studies and accurate streamflow projections are still debated.
JOURNAL OF HYDROLOGY
(2023)
Article
Astronomy & Astrophysics
Rohit Jaiswal, R. K. Mall, Nidhi Singh, T. V. Lakshmi Kumar, Dev Niyogi
Summary: Regional climate models (RCMs) are commonly used for regional climate assessments, but they often overpredict light rainfall events. This study employed three bias-correction methods to improve the accuracy of monsoon rainfall simulations in India. The corrected rainfall data were compared to observations, and the performance of the methods was evaluated using various metrics. The results showed that the SCL method was the most effective, followed by EQM, while LOCI was less effective. Spatial analysis revealed notable improvements in the Western Himalayan Region. The findings provide region-specific techniques for bias correction in impact assessment studies in the Indian monsoon region.
EARTH AND SPACE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Ya Huang, Weihua Xiao, Baodeng Hou, Yuyan Zhou, Guibing Hou, Ling Yi, Hao Cui
Summary: Understanding the impacts of climate change on runoff in the upper reaches of the Yangtze River, including changes in precipitation, temperature, and river flows, reveals a tendency towards warmer and drier conditions in the eastern UYRB and warmer and more humid conditions in the western UYBR. Decreased precipitation and increased temperatures are forecasted, leading to reduced snowmelt runoff contribution to annual runoff. Areas of reduced runoff depth are mainly concentrated in the southeast, driven by decreased precipitation, while decreased runoff depth in the northwest is mainly driven by increased evaporation.
SCIENTIFIC REPORTS
(2021)
Article
Geochemistry & Geophysics
Shirin Mokhtari, Ahmad Sharafati, Tayeb Raziei
Summary: The study compared the daily and monthly precipitation estimates of CHIRPS satellite data with in situ measurements at four stations in southwestern Iran, calculating the uncertainty of satellite precipitation estimates through simulation with Copula functions. Statistical comparisons were made using different methods to assess the discrepancies between satellite estimates and observed data at different time scales.
Article
Geosciences, Multidisciplinary
Youngil Kim, Jason P. Evans, Ashish Sharma, Eytan Rocheta
Summary: The study investigates the ability of regional climate models to reproduce the dependence of observed variables in terms of temporal, spatial, and multivariate aspects. While RCM simulations with univariate bias-corrected GCM boundary conditions perform well in capturing temporal and spatial dependence, there is still room for improvement in representing dependence between variables.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Georgia Lazoglou, Christina Angnostopoulou, Konstantia Tolika, Graeler Benedikt
Article
Green & Sustainable Science & Technology
Charalampos Skoulikaris, Yannis Krestenitis
Article
Environmental Sciences
Charalampos Skoulikaris, Christos Makris, Margarita Katirtzidou, Vasilios Baltikas, Yannis Krestenitis
Summary: This paper investigates the future variations in surface and coastal water resources in a Mediterranean deltaic environment for the twenty-first century, proposing an Integrated Deltaic Risk Index (IDRI) as a tool to assess vulnerability to climate change impact (CCI). Results show increased vulnerability under the RCP8.5 scenario, especially in the long-term future period. Integrated water resources management is crucial for addressing the changing dynamics in the study area.
ENVIRONMENTAL MODELING & ASSESSMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Georgia Lazoglou, George Zittis, Panos Hadjinicolaou, Jos Lelieveld
Summary: The study aimed to minimize biases in maximum temperature between global and regional climate models using the TIN-Copula method, showing that the HadGEM3 model had the highest discrepancies in certain subregions and seasons. The results indicate that the method effectively reduces model prediction biases.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Review
Engineering, Civil
Charalampos Skoulikaris, Jacques Ganoulis, Alice Aureli
Summary: The study conducted an advanced review and comparative analysis of international programmes and initiatives on the management of Transboundary Aquifers in South-Eastern Europe over the last two decades. The final outputs revealed a solid conceptual follow-up of these programmes and initiatives, with a gradual enrichment of information related to the status of transboundary aquifers over the years, validated by groundwater bodies' data analysis.
WATER INTERNATIONAL
(2021)
Article
Engineering, Civil
Charalampos Skoulikaris
Summary: This study investigates the progress in the management of transboundary surface waters and groundwaters shared between Bulgaria and Greece before and after the implementation of the EU's common water policies. It found significant improvement in the quality of surface waters, but identified issues with transboundary floods. The groundwater bodies were in good status, but there is still room for further improvement.
WATER RESOURCES MANAGEMENT
(2021)
Article
Environmental Sciences
Charalampos Skoulikaris, Panagiota Venetsanou, Georgia Lazoglou, Christina Anagnostopoulou, Konstantinos Voudouris
Summary: This study investigates the dilemma of using climate datasets for hydrological simulations and explores the impact of the order of bias correction and spatio-temporal interpolation on simulation accuracy. By comparing different datasets and conducting statistical analyses and hydrological simulations, the study finds that bias correction followed by spatio-temporal interpolation results in high correlation with reference data. This research provides a useful roadmap for preparing gridded climate change data for hydrological modeling.
Article
Environmental Sciences
Kondylia Velikou, Georgia Lazoglou, Konstantia Tolika, Christina Anagnostopoulou
Summary: ERA5 is widely considered as a valid proxy of observation at region scales. It performs well in climate investigation over Europe, capturing the annual cycle and mean and extreme temperatures effectively. However, it underestimates temperatures in certain European sub-regions, possibly due to altitude differences between grid points and stations. Compared to other datasets, ERA5 exhibits more extreme temperatures in some regions.
Article
Green & Sustainable Science & Technology
Charalampos Skoulikaris
Summary: The study simulates the future power production of two small run-of-river hydropower plants in Greece under climate change conditions. Findings suggest that a significant decrease in river discharges may lead to a substantial reduction in future power generation, while smaller declines in discharge are more influenced by intermonthly variations in river runoff, particularly in dry months.
Article
Green & Sustainable Science & Technology
Mohammad Kazem Ghorbani, Hossein Hamidifar, Charalampos Skoulikaris, Michael Nones
Summary: This study integrates project management standards and processes with strategic management to analyze and evaluate the factors of rubber dam projects in Iran. It proposes the main strategy and priorities for the organization, aiming to produce operational benefits.
Article
Geochemistry & Geophysics
Charalampos Skoulikaris
Summary: Proxy data and qualitative information play important roles in water resources and floods management. This research evaluates river water bodies in Greece with characteristic toponyms, comparing them to the implementation of the European Union's Water Framework and Flood Directives. It finds a high degree of correlation between toponyms and water quality and floods, with almost 90% of the water bodies with characteristic names being intermittent and ephemeral ones.
Article
Environmental Sciences
Konstantia Tolika, Charalampos Skoulikaris
Summary: Floods have significant impacts on society and the environment, causing human losses and damaging infrastructure. This study aims to identify the atmospheric circulation patterns associated with catastrophic flood events in Greece. A classification scheme consisting of 12 circulation types is used to detect flood-dominant circulation patterns. The study reveals that cyclonic type C is the dominant circulation type during severe floods, and the depth of cyclonic types during these floods is greater than the average. The proposed methodology can be applied to predict floods in other EU member states and improve flood management at the river basin scale.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Georgia Lazoglou, George Zittis, Christina Anagnostopoulou, Panos Hadjinicolaou, Jos Lelieveld
Article
Meteorology & Atmospheric Sciences
Charalampos Skoulikaris, Christina Anagnostopoulou, Georgia Lazoglou