Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-473-2020
© Author(s) 2020. 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-24-473-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2020
Research article |
| 29 Jan 2020
| 29 Jan 2020
Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series
Vincenzo Totaro
CORRESPONDING AUTHOR
Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, Bari, 70125, Italy
Andrea Gioia
Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, Bari, 70125, Italy
Vito Iacobellis
Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, Bari, 70125, Italy
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19 citations as recorded by crossref.
- Regional Trends and Spatiotemporal Analysis of Rainfall and Groundwater in the West Coast Basins of India C. Krishnan & A. Mahesha 10.1061/(ASCE)HE.1943-5584.0002177
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- Degradation Detection in a Redundant Sensor Architecture A. Kajmakovic et al. 10.3390/s22124649
- An Improved Peaks-Over-Threshold Method and its Application in the Time-Varying Design Flood J. Li et al. 10.1007/s11269-020-02758-3
- Impact of Rainfall Variability and Land Use Change on River Discharge in South Cameroon V. Ebodé et al. 10.3390/w14060941
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- Meteorological Drought Characterization in the Calabria Region (Southern Italy) R. Coscarelli et al. 10.3390/cli11080160
- Tropical Convection in the Caribbean and Surrounding Region during a Regional, Warming Sea-Surface Temperature Period, 1982–2020 E. Glenn et al. 10.3390/hydrology8020056
- Comparison of trend detection methods in GEV models L. Németh et al. 10.1080/03610918.2020.1804580
- Meteorological trend analysis for Najd and Hejaz regions, Saudi Arabia . Ateeq-ur-Rauf et al. 10.1007/s00703-022-00873-x
- Changes in Precipitation Extremes across Vietnam and Its Relationships with Teleconnection Patterns of the Northern Hemisphere Q. Do et al. 10.3390/w12061646
- A Spatiotemporal Approach in Detecting and Analyzing Hydro-climatic Change in Northwest Algeria S. Bouraoui & A. Medjerab 10.48084/etasr.5332
- Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy) M. Alfio et al. 10.3390/w12071927
- On the power of popular two-sample tests applied to precipitation and discharge series G. Mascaro 10.1007/s00477-024-02709-z
- Changes in global carbon use efficiency in the 21st century and the potential controlling factors G. Chen et al. 10.1088/1748-9326/ad3e90
- Evaluation of climate change impact on extreme temperature variability in the Blue Nile Basin, Ethiopia M. Mohamed & M. El-Mahdy 10.5194/gi-10-45-2021
- Trend and nonstationary relation of extreme rainfall: Central Anatolia, Turkey S. Oruc 10.1007/s11600-020-00518-w
18 citations as recorded by crossref.
- Regional Trends and Spatiotemporal Analysis of Rainfall and Groundwater in the West Coast Basins of India C. Krishnan & A. Mahesha 10.1061/(ASCE)HE.1943-5584.0002177
- Parametric Assessment of Trend Test Power in a Changing Environment A. Gioia et al. 10.3390/su12093889
- Degradation Detection in a Redundant Sensor Architecture A. Kajmakovic et al. 10.3390/s22124649
- An Improved Peaks-Over-Threshold Method and its Application in the Time-Varying Design Flood J. Li et al. 10.1007/s11269-020-02758-3
- Impact of Rainfall Variability and Land Use Change on River Discharge in South Cameroon V. Ebodé et al. 10.3390/w14060941
- Maximum Extreme Flow Estimations in Historical Hydrological Series under the Influence of Decadal Variations M. Jacomazzi et al. 10.3390/hydrology9080130
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
- Assessing improvement in the fifth‐generation ECMWF atmospheric reanalysis precipitation over East Africa A. Assamnew & G. Mengistu Tsidu 10.1002/joc.7697
- Meteorological Drought Characterization in the Calabria Region (Southern Italy) R. Coscarelli et al. 10.3390/cli11080160
- Tropical Convection in the Caribbean and Surrounding Region during a Regional, Warming Sea-Surface Temperature Period, 1982–2020 E. Glenn et al. 10.3390/hydrology8020056
- Comparison of trend detection methods in GEV models L. Németh et al. 10.1080/03610918.2020.1804580
- Meteorological trend analysis for Najd and Hejaz regions, Saudi Arabia . Ateeq-ur-Rauf et al. 10.1007/s00703-022-00873-x
- Changes in Precipitation Extremes across Vietnam and Its Relationships with Teleconnection Patterns of the Northern Hemisphere Q. Do et al. 10.3390/w12061646
- A Spatiotemporal Approach in Detecting and Analyzing Hydro-climatic Change in Northwest Algeria S. Bouraoui & A. Medjerab 10.48084/etasr.5332
- Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy) M. Alfio et al. 10.3390/w12071927
- On the power of popular two-sample tests applied to precipitation and discharge series G. Mascaro 10.1007/s00477-024-02709-z
- Changes in global carbon use efficiency in the 21st century and the potential controlling factors G. Chen et al. 10.1088/1748-9326/ad3e90
- Evaluation of climate change impact on extreme temperature variability in the Blue Nile Basin, Ethiopia M. Mohamed & M. El-Mahdy 10.5194/gi-10-45-2021
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
We highlight the need for power evaluation in the application of null hypothesis significance tests for trend detection in extreme event analysis. In a wide range of conditions, depending on the underlying distribution of data, the test power may reach unacceptably low values. We propose the use of a parametric approach, based on model selection criteria, that allows one to choose the null hypothesis, to select the level of significance, and to check the test power using Monte Carlo experiments.
We highlight the need for power evaluation in the application of null hypothesis significance...
