Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-3897-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3897-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Louise J. Slater
CORRESPONDING AUTHOR
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
Bailey Anderson
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
Marcus Buechel
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
Simon Dadson
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
U.K. Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford OX10 8BB, UK
Shasha Han
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
Shaun Harrigan
Forecast Department, European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Timo Kelder
Geography and Environment, Loughborough University, Loughborough, UK
Katie Kowal
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
Thomas Lees
School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
Tom Matthews
Geography and Environment, Loughborough University, Loughborough, UK
Conor Murphy
Irish Climate Analysis and Research UnitS (ICARUS), Department of Geography, Maynooth University, Maynooth, Co. Kildare, Ireland
Robert L. Wilby
Geography and Environment, Loughborough University, Loughborough, UK
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- Compound Continental Risk of Multiple Extreme Floods in the United States N. Najibi et al. 10.1029/2023GL105297
- Nonstationary Changes in Annual Rainfall over Indonesia’s Maritime Continent G. Sudarman et al. 10.1155/2024/9392844
- Multi-distribution regula-falsi profile likelihood method for nonstationary hydrological frequency analysis C. Vidrio-Sahagún et al. 10.1007/s00477-023-02603-0
- Evaluating the Non-Stationarity, Seasonality and Temporal Risk to Water Resources in the Wei River Basin X. Yuan & F. O’Loughlin 10.3390/w16172513
- On the attribution of annual maximum discharge across the conterminous United States H. Kim & G. Villarini 10.1016/j.advwatres.2022.104360
- A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow A. Bennett et al. 10.1175/JHM-D-21-0174.1
- Investigation of the trend and cycles using the long-term records of annual precipitation in Shandong, China S. Cao et al. 10.2166/wcc.2022.128
- Assessing global drought conditions under climate change: A comparison of stationary and non-stationary approaches and identification of hotspot regions D. Wu et al. 10.1016/j.jhydrol.2024.131663
- Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States K. Hunt et al. 10.5194/hess-26-5449-2022
- A framework for the detection and attribution of biodiversity change A. Gonzalez et al. 10.1098/rstb.2022.0182
- Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
- Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory Z. Tian et al. 10.1038/s44221-022-00017-w
- Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
- Floods and droughts: a multivariate perspective M. Brunner 10.5194/hess-27-2479-2023
- Special Issue for UN HELP: ‘Water infrastructure planning, management and design under climate uncertainty’ E. Stakhiv & K. Hiroki 10.2166/wp.2021.268
- Statistical Attribution of the Influence of Urban and Tree Cover Change on Streamflow: A Comparison of Large Sample Statistical Approaches B. Anderson et al. 10.1029/2021WR030742
- Identification and evaluation of soil moisture flash drought by a nonstationary framework considering climate and land cover changes X. Zha et al. 10.1016/j.scitotenv.2022.158953
- Greedy copula segmentation of multivariate non-stationary time series for climate change adaptation T. Heo & L. Manuel 10.1016/j.pdisas.2022.100221
- Contribution of urbanisation to non-stationary river flow in the UK S. Han et al. 10.1016/j.jhydrol.2022.128417
- Changes in Mediterranean flood processes and seasonality Y. Tramblay et al. 10.5194/hess-27-2973-2023
- The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates M. Wang et al. 10.1007/s11269-022-03088-2
- Hydrological response to long-lasting dry spell at the southern edge of Siberian permafrost L. Han & L. Menzel 10.1016/j.scitotenv.2024.171330
- Historical changes of extreme temperature in relation to soil moisture over different climatic zones of Iran S. Anvari & M. Moghaddasi 10.1007/s00477-023-02558-2
- Urban Water Consumption Prediction Based on CPMBNIP J. Li & S. Song 10.1007/s11269-023-03601-1
- Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
- Assessing water storage variations in La Plata basin and sub-basins from GRACE, global models data and connection with ENSO events A. Pereira et al. 10.1080/02626667.2024.2349277
- Impacts of hydrometeorological regime shifts on drought Propagation: The meteorological to hydrological perspective J. Wu et al. 10.1016/j.jhydrol.2024.131476
- A RIC<sub>p</sub> criterion for periodicity analysis of hydrological time series L. Wu et al. 10.1360/TB-2021-1329
- Spatial-temporal estimation of maximum temperature high returns periods for annual time series considering stationary/nonstationary approaches in Iran urban area M. Salarijazi et al. 10.1016/j.uclim.2023.101504
- Higher emissions scenarios lead to more extreme flooding in the United States H. Kim & G. Villarini 10.1038/s41467-023-44415-4
- Trends in reconstructed monthly, seasonal and annual flows for Irish catchments (1900–2016) P. O'Connor et al. 10.1002/wea.4288
- Incorporating extreme event attribution into climate change adaptation for civil infrastructure: Methods, benefits, and research needs Y. Zhang et al. 10.1016/j.rcns.2024.03.002
- Quantifying the Geomorphic Effect of Floods Using Satellite Observations of River Mobility A. Leenman et al. 10.1029/2023GL103875
- Two Decades of Integrated Flood Management: Status, Barriers, and Strategies N. Grigg 10.3390/cli12050067
- Estimating flood recurrence uncertainty for non-stationary regimes Y. Gomes et al. 10.1590/2318-0331.282320230031
- Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
- Identifying potential systemic changes in a regulated river: a diagnostic methodology based on whiteness property of innovation sequences S. Vanda & M. Abedini 10.1080/02626667.2022.2115913
- Climate warming accelerates surface soil moisture drying in the Yellow River Basin, China K. Fan et al. 10.1016/j.jhydrol.2022.128735
- Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins E. Nkiaka et al. 10.5194/hess-26-5899-2022
- Research on the Degree of Non-Stationarity in Extreme Precipitation in the Continental United States J. Shao et al. 10.1007/s11269-023-03683-x
- Non-steady state fluctuations in water levels exacerbate long-term and seasonal degradation of water quality in river-connected lakes Y. Yin et al. 10.1016/j.watres.2023.120247
- Assessment of upbasin dam impacts on streamflow at Chiang Saen gauging station during the period 1960–2020 in the context of statistical studies T. Nguyen et al. 10.1002/rra.4011
- Spatial patterns and indices for heat waves and droughts over Europe using a decomposition of extremal dependency S. Szemkus & P. Friederichs 10.5194/ascmo-10-29-2024
- Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
- Hydroclimatic time series features at multiple time scales G. Papacharalampous et al. 10.1016/j.jhydrol.2023.129160
- Enhanced profile likelihood method for the nonstationary hydrological frequency analysis C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104151
- An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. 10.1002/met.2065
- The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records D. de Oliveira & J. Vrugt 10.1029/2022WR032263
- Long‐term trends in extreme precipitation indices in Ireland C. Ryan et al. 10.1002/joc.7475
- Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
- On method of regional non-stationary flood frequency analysis under the influence of large reservoir group and climate change H. Cui et al. 10.1016/j.jhydrol.2023.129255
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- Proof of concept for Bayesian inference of dynamic rating curve uncertainty in a sparsely gauged watershed R. Cornelio et al. 10.1080/02626667.2024.2401094
- Analysis of the responses of surface water resources to climate change in arid and semi-arid area J. Wang et al. 10.1016/j.agwat.2024.108751
- Expected reliability over a planning horizon of a hydraulic infrastructure and its uncertainty under hydroclimatic future projections A. de la Fuente et al. 10.1016/j.jhydrol.2023.129700
- Identifying the shift in global wildfire weather conditions over the past four decades: an analysis based on change-points and long-term trends K. Shi & Y. Touge 10.1186/s40562-022-00255-6
- Historical archives reveal record rainfall and severe flooding in December 1867 resulting from an atmospheric river and snowmelt, western Washington, USA D. Gavin et al. 10.1371/journal.pclm.0000324
- Resilience of UK crop yields to compound climate change L. Slater et al. 10.5194/esd-13-1377-2022
- Hydrological characteristics of extreme floods in the Klaserie River, a headwater stream in southern Africa S. Marr & A. Swemmer 10.4081/jlimnol.2023.2102
- Multi-Hazard Extreme Scenario Quantification Using Intensity, Duration, and Return Period Characteristics A. Sfetsos et al. 10.3390/cli11120242
- Estimation of return levels with long return periods for extreme sea levels in a time-varying framework J. Rydén 10.1007/s10669-024-09974-x
- Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves K. Schlef et al. 10.1016/j.jhydrol.2022.128757
- Non-Stationary Flood Discharge Frequency Analysis in West Africa A. Bossa et al. 10.3390/geohazards4030018
- Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework M. Rahman et al. 10.1016/j.asr.2024.03.033
- Forest disturbance thresholds on summer low flows in the interior of British Columbia, Canada Y. Hou et al. 10.1016/j.catena.2024.108173
- Rainfall Patterns From Multiscale Sample Entropy Analysis X. Zhou et al. 10.3389/frwa.2022.885456
- GC Insights: Communicating long-term changes in local climate risk using a physically plausible causal chain E. Hawkins et al. 10.5194/gc-7-161-2024
- The Robustness of the Derived Design Life Levels of Heavy Precipitation Events in the Pre-Alpine Oberland Region of Southern Germany P. Laux et al. 10.3390/atmos14091384
- A Vine Copula‐Based Ensemble Projection of Precipitation Intensity–Duration–Frequency Curves at Sub‐Daily to Multi‐Day Time Scales B. Zhang et al. 10.1029/2022WR032658
- Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
- Observed trends in timing and severity of streamflow droughts across global tropics A. Raut & P. Ganguli 10.1088/1748-9326/ad25a1
- Hydrological frequency analysis under nonstationarity using the Metastatistical approach and its simplified version C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104244
- Impact of Policy Intensity on Carbon Emission Reductions: Based on the Perspective of China’s Low-Carbon Policy H. Chen et al. 10.3390/su16188265
- Nonlinear Seasonal and Long-Term Trends in a Twentieth-Century Meteorological Drought Index across the Continental United States K. Sung & J. Stagge 10.1175/JCLI-D-22-0045.1
- A practice-oriented framework for stationary and nonstationary flood frequency analysis C. Vidrio-Sahagún et al. 10.1016/j.envsoft.2024.105940
- Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring A. Khoshnazar et al. 10.2166/nh.2022.062
- Non-stationary modeling of seasonal precipitation series in Turkey: estimating the plausible range of seasonal extremes F. Tosunoglu et al. 10.1007/s00704-023-04807-4
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Decreasing flood hazard evaluated in Turkey using nonstationary models F. Tosunoglu & L. Slater 10.1002/rra.3998
- Robust Local Likelihood Estimation for Non-stationary Flood Frequency Analysis J. Grego & P. Yates 10.1007/s13253-024-00614-0
- Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. 10.1088/1748-9326/ad4bf6
- Detection Time for Nonstationary Reservoir System Performance Driven by Climate and Land-Use Change M. Chen & J. Herman 10.1061/JWRMD5.WRENG-6184
- A spatio-temporal analysis of the role of climatic drivers influencing extreme precipitation events in a Costa Rican basin C. Huguenin et al. 10.1016/j.wace.2023.100602
- A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines K. Naseri & M. Hummel 10.1016/j.jhydrol.2022.128005
- A Nonstationary Standardized Precipitation Index (NSPI) Using Bayesian Splines J. Stagge & K. Sung 10.1175/JAMC-D-21-0244.1
- Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments J. White et al. 10.1002/eco.2422
- Science of forests and floods: The quantum leap forward needed, literally and metaphorically H. Pham & Y. Alila 10.1016/j.scitotenv.2023.169646
- A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China J. Fang et al. 10.2166/nh.2024.124
- A structured framework to interpret hydro-climatic and water quality trends in Mediterranean climate zones H. Alilou et al. 10.1016/j.jhydrol.2022.128512
- A long-term view of tropical cyclone risk in Australia T. Mortlock et al. 10.1007/s11069-023-06019-5
9 citations as recorded by crossref.
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. 10.2166/nh.2021.156
- Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States J. Hecht et al. 10.1016/j.hydroa.2021.100115
- Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. 10.5194/hess-25-1347-2021
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction B. Renard et al. 10.1029/2022JD037908
- Global Changes in 20‐Year, 50‐Year, and 100‐Year River Floods L. Slater et al. 10.1029/2020GL091824
- Simulation-based assessment of inundation risk potential considering the nonstationarity of extreme flood events under climate change K. Taniguchi et al. 10.1016/j.jhydrol.2022.128434
- Drought- and heatwave-associated compound extremes: A review of hotspots, variables, parameters, drivers, impacts, and analysis frameworks M. Afroz et al. 10.3389/feart.2022.914437
Latest update: 13 Oct 2024
Short summary
Weather and water extremes have devastating effects each year. One of the principal challenges for society is understanding how extremes are likely to evolve under the influence of changes in climate, land cover, and other human impacts. This paper provides a review of the methods and challenges associated with the detection, attribution, management, and projection of nonstationary weather and water extremes.
Weather and water extremes have devastating effects each year. One of the principal challenges...