Articles | Volume 13, issue 7
https://doi.org/10.5194/nhess-13-1773-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-1773-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
| 
11 Jul 2013
Brief communication |
| 11 Jul 2013
Brief Communication: Likelihood of societal preparedness for global change: trend detection
R. M. Vogel
Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
A. Rosner
US Geological Survey, Conte Anadromous Fish Research Laboratory, One Migratory Way, P.O. Box 796, Turners Falls, MA 01376-0796, USA
P. H. Kirshen
Environmental Research Group, Civil Engineering Department & Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, NH, USA
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Cited
34 citations as recorded by crossref.
- Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series F. Wang et al. https://doi.org/10.3389/feart.2020.00014
- Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy) M. Alfio et al. https://doi.org/10.3390/w12071927
- Assessment of trends in hydrological extremes using regional magnification factors T. Kjeldsen & I. Prosdocimi https://doi.org/10.1016/j.advwatres.2021.103852
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. https://doi.org/10.3390/hydrology8040150
- Hazard function theory for nonstationary natural hazards L. Read & R. Vogel https://doi.org/10.5194/nhess-16-915-2016
- Comparison of Two Nonstationary Flood Frequency Analysis Methods within the Context of the Variable Regime in the Representative Polish Rivers W. Strupczewski et al. https://doi.org/10.1515/acgeo-2015-0070
- Continuous measures of confidence in direction of environmental trends at site and other spatial scales T. Snelder et al. https://doi.org/10.1016/j.envc.2022.100601
- Spatial assessment of flood vulnerability and waterlogging extent in agricultural lands using RS-GIS and AHP technique—a case study of Patan district Gujarat, India N. Gahalod et al. https://doi.org/10.1007/s10661-024-12482-9
- On the Role of Serial Correlation and Field Significance in Detecting Changes in Extreme Precipitation Frequency S. Farris et al. https://doi.org/10.1029/2021WR030172
- Detecção de Tendências Monotônicas Temporais e Relação com Erros dos Tipos I e II: Estudo de Caso em Séries de Precipitações Diárias Máximas Anuais do Estado do Acre J. Moreira & M. Naghettini https://doi.org/10.1590/0102-778631231420140155
- Low-Flow Trends at Southeast United States Streamflow Gauges T. Stephens & B. Bledsoe https://doi.org/10.1061/(ASCE)WR.1943-5452.0001212
- Non-stationarity in annual and seasonal series of peak flow and precipitation in the UK I. Prosdocimi et al. https://doi.org/10.5194/nhess-14-1125-2014
- Assessment and significance of the frequency domain for trends in annual peak streamflow C. Konrad & D. Restivo https://doi.org/10.1111/jfr3.12761
- Time‐varying copula‐based compound flood risk assessment of extreme rainfall and high water level under a non‐stationary environment M. Song et al. https://doi.org/10.1111/jfr3.13032
- A bootstrap method for estimating uncertainty of water quality trends R. Hirsch et al. https://doi.org/10.1016/j.envsoft.2015.07.017
- Parametric Assessment of Trend Test Power in a Changing Environment A. Gioia et al. https://doi.org/10.3390/su12093889
- On the power of popular two-sample tests applied to precipitation and discharge series G. Mascaro https://doi.org/10.1007/s00477-024-02709-z
- Areal Models for Spatially Coherent Trend Detection: The Case of British Peak River Flows I. Prosdocimi et al. https://doi.org/10.1029/2019GL085142
- Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel https://doi.org/10.1016/j.advwatres.2017.11.026
- Statistical bridge damage detection using girder distribution factors A. Reiff et al. https://doi.org/10.1016/j.engstruct.2015.11.006
- Impacts of climate change on agricultural water management: a review X. Cai et al. https://doi.org/10.1002/wat2.1089
- Nonstationarity of Hydrological Records and Recent Trends in Trend Analysis: A State-of-the-art Review M. Bayazit https://doi.org/10.1007/s40710-015-0081-7
- Evaluation of climate change impact on extreme temperature variability in the Blue Nile Basin, Ethiopia M. Mohamed & M. El-Mahdy https://doi.org/10.5194/gi-10-45-2021
- Flood hazards under changing climate: applying an analytical hierarchy process in the Mazam-Watrak River Basin, India P. Makhasana & G. Joshi https://doi.org/10.2166/h2oj.2023.042
- A process‐based insight into nonstationarity of the probability distribution of annual runoff C. Jiang et al. https://doi.org/10.1002/2016WR019863
- Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series V. Totaro et al. https://doi.org/10.5194/hess-24-473-2020
- Streamflow generation, hydroclimatic changes, and flood mechanisms in the Sheep River basin on the eastern slopes of the Canadian Rockies C. Vidrio-Sahagún et al. https://doi.org/10.1016/j.ejrh.2025.102562
- Continuous Measures of Confidence in Direction of Environmental Trends at Site and Other Spatial Scales T. Snelder et al. https://doi.org/10.2139/ssrn.4160474
- Trend Detection in Annual Streamflow Extremes in Brazil S. Souza & D. Reis, Jr. https://doi.org/10.3390/w14111805
- A simulation study of trend detection methods for integrated ecosystem assessment S. Hardison et al. https://doi.org/10.1093/icesjms/fsz097
- A comparison of estimators of the conditional mean under non-stationary conditions R. Vogel & C. Kroll https://doi.org/10.1016/j.advwatres.2020.103672
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. https://doi.org/10.5194/hess-25-3897-2021
- The potential contribution of citizen science data in the study of coastal microplastic and mesoplastic distributions D. Jones et al. https://doi.org/10.1007/s10661-025-14354-2
- Tropical Convection in the Caribbean and Surrounding Region during a Regional, Warming Sea-Surface Temperature Period, 1982–2020 E. Glenn et al. https://doi.org/10.3390/hydrology8020056
34 citations as recorded by crossref.
- Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series F. Wang et al. https://doi.org/10.3389/feart.2020.00014
- Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy) M. Alfio et al. https://doi.org/10.3390/w12071927
- Assessment of trends in hydrological extremes using regional magnification factors T. Kjeldsen & I. Prosdocimi https://doi.org/10.1016/j.advwatres.2021.103852
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. https://doi.org/10.3390/hydrology8040150
- Hazard function theory for nonstationary natural hazards L. Read & R. Vogel https://doi.org/10.5194/nhess-16-915-2016
- Comparison of Two Nonstationary Flood Frequency Analysis Methods within the Context of the Variable Regime in the Representative Polish Rivers W. Strupczewski et al. https://doi.org/10.1515/acgeo-2015-0070
- Continuous measures of confidence in direction of environmental trends at site and other spatial scales T. Snelder et al. https://doi.org/10.1016/j.envc.2022.100601
- Spatial assessment of flood vulnerability and waterlogging extent in agricultural lands using RS-GIS and AHP technique—a case study of Patan district Gujarat, India N. Gahalod et al. https://doi.org/10.1007/s10661-024-12482-9
- On the Role of Serial Correlation and Field Significance in Detecting Changes in Extreme Precipitation Frequency S. Farris et al. https://doi.org/10.1029/2021WR030172
- Detecção de Tendências Monotônicas Temporais e Relação com Erros dos Tipos I e II: Estudo de Caso em Séries de Precipitações Diárias Máximas Anuais do Estado do Acre J. Moreira & M. Naghettini https://doi.org/10.1590/0102-778631231420140155
- Low-Flow Trends at Southeast United States Streamflow Gauges T. Stephens & B. Bledsoe https://doi.org/10.1061/(ASCE)WR.1943-5452.0001212
- Non-stationarity in annual and seasonal series of peak flow and precipitation in the UK I. Prosdocimi et al. https://doi.org/10.5194/nhess-14-1125-2014
- Assessment and significance of the frequency domain for trends in annual peak streamflow C. Konrad & D. Restivo https://doi.org/10.1111/jfr3.12761
- Time‐varying copula‐based compound flood risk assessment of extreme rainfall and high water level under a non‐stationary environment M. Song et al. https://doi.org/10.1111/jfr3.13032
- A bootstrap method for estimating uncertainty of water quality trends R. Hirsch et al. https://doi.org/10.1016/j.envsoft.2015.07.017
- Parametric Assessment of Trend Test Power in a Changing Environment A. Gioia et al. https://doi.org/10.3390/su12093889
- On the power of popular two-sample tests applied to precipitation and discharge series G. Mascaro https://doi.org/10.1007/s00477-024-02709-z
- Areal Models for Spatially Coherent Trend Detection: The Case of British Peak River Flows I. Prosdocimi et al. https://doi.org/10.1029/2019GL085142
- Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel https://doi.org/10.1016/j.advwatres.2017.11.026
- Statistical bridge damage detection using girder distribution factors A. Reiff et al. https://doi.org/10.1016/j.engstruct.2015.11.006
- Impacts of climate change on agricultural water management: a review X. Cai et al. https://doi.org/10.1002/wat2.1089
- Nonstationarity of Hydrological Records and Recent Trends in Trend Analysis: A State-of-the-art Review M. Bayazit https://doi.org/10.1007/s40710-015-0081-7
- Evaluation of climate change impact on extreme temperature variability in the Blue Nile Basin, Ethiopia M. Mohamed & M. El-Mahdy https://doi.org/10.5194/gi-10-45-2021
- Flood hazards under changing climate: applying an analytical hierarchy process in the Mazam-Watrak River Basin, India P. Makhasana & G. Joshi https://doi.org/10.2166/h2oj.2023.042
- A process‐based insight into nonstationarity of the probability distribution of annual runoff C. Jiang et al. https://doi.org/10.1002/2016WR019863
- Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series V. Totaro et al. https://doi.org/10.5194/hess-24-473-2020
- Streamflow generation, hydroclimatic changes, and flood mechanisms in the Sheep River basin on the eastern slopes of the Canadian Rockies C. Vidrio-Sahagún et al. https://doi.org/10.1016/j.ejrh.2025.102562
- Continuous Measures of Confidence in Direction of Environmental Trends at Site and Other Spatial Scales T. Snelder et al. https://doi.org/10.2139/ssrn.4160474
- Trend Detection in Annual Streamflow Extremes in Brazil S. Souza & D. Reis, Jr. https://doi.org/10.3390/w14111805
- A simulation study of trend detection methods for integrated ecosystem assessment S. Hardison et al. https://doi.org/10.1093/icesjms/fsz097
- A comparison of estimators of the conditional mean under non-stationary conditions R. Vogel & C. Kroll https://doi.org/10.1016/j.advwatres.2020.103672
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. https://doi.org/10.5194/hess-25-3897-2021
- The potential contribution of citizen science data in the study of coastal microplastic and mesoplastic distributions D. Jones et al. https://doi.org/10.1007/s10661-025-14354-2
- Tropical Convection in the Caribbean and Surrounding Region during a Regional, Warming Sea-Surface Temperature Period, 1982–2020 E. Glenn et al. https://doi.org/10.3390/hydrology8020056
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