Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-4989-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4989-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Effects of different reference periods on drought index (SPEI) estimations from 1901 to 2014
Myoung-Jin Um
Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
Daeryong Park
Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea
Jeongbin Kim
Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
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- A global drought-aridity index: The spatiotemporal standardized precipitation evapotranspiration index H. Yu et al. 10.1016/j.ecolind.2023.110484
- A robust ensemble drought index: construction and assessment Q. Mi et al. 10.1007/s11069-022-05715-y
- Assessing the likelihood of drought impact occurrence with extreme gradient boosting: a case study on the public water supply in South Korea J. Seo & Y. Kim 10.2166/hydro.2023.064
34 citations as recorded by crossref.
- Standardized Precipitation Index (SPI) evolution over the Iberian Peninsula during the 21st century M. Lorenzo et al. 10.1016/j.atmosres.2023.107132
- Future drought changes and associated uncertainty over the homogenous regions of India: A multimodel approach M. Saharwardi & P. Kumar 10.1002/joc.7265
- Climatology and Trend of Severe Drought Events in the State of Sao Paulo, Brazil, during the 20th Century L. Gozzo et al. 10.3390/atmos10040190
- Contrasting drought impacts on the start of phenological growing season in Northern China during 1982–2015 H. Deng et al. 10.1002/joc.6400
- Assessment of Artificial Neural Network through Drought Indices S. Doshi et al. 10.3390/eng4010003
- Historical meteorological droughts over the CORDEX‐CAM (Central America, Caribbean and Mexico) domain: Evaluating the simulation of dry hot spots with RegCM4 L. Andrade‐Gómez & T. Cavazos 10.1002/joc.8374
- Hydrometeorological Drought Characteristics and Their Relationship With SST and Climate Indexes in the Yunnan-Guizhou Plateau, China—Based on the Improved SPERI H. Yu & L. Wang 10.1109/TGRS.2024.3432828
- Drought Assessment in a Semi-Arid River Basin in China and its Sensitivity to Different Evapotranspiration Models D. Zhang et al. 10.3390/w11051061
- Future exposure of forest ecosystems to multi‐year drought in the United States J. Costanza et al. 10.1002/ecs2.4525
- Enhanced hydrological drought prediction in the Gediz Basin: integrating meteorological drought via hybrid wavelet-machine learning-random oversampling models using E. Taylan 10.2166/wcc.2024.324
- The counteracting effects of large-scale vegetation restoration and increased precipitation on drought in the Huang-Huai-Hai-Yangtze River basin M. Ma et al. 10.1016/j.jhydrol.2023.129733
- Historical droughts in Irish catchments 1767–2016 P. O'Connor et al. 10.1002/joc.7542
- Spatio-temporal analysis of dry and wet periods in Iran by using Global Precipitation Climatology Center-Drought Index (GPCC-DI) A. Hosseini et al. 10.1007/s00704-020-03463-2
- Asymmetric response of global drought and pluvial detection to the length of climate epoch B. Long et al. 10.1016/j.jhydrol.2023.130078
- Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady‐State Probabilities R. Niaz et al. 10.1155/2022/1172805
- Drought occurrences and its implications on the households in Yobe state, Nigeria J. Eze 10.1186/s40677-018-0111-7
- Assessing Future Drought Conditions over the Iberian Peninsula: The Impact of Using Different Periods to Compute the SPEI M. García-Valdecasas Ojeda et al. 10.3390/atmos12080980
- Impacts of potential evapotranspiration on drought phenomena in different regions and climate zones M. Um et al. 10.1016/j.scitotenv.2019.135590
- Sources and uncertainties of future global drought risk with ISIMIP2b climate scenarios and socioeconomic indicators H. Oh et al. 10.1016/j.scitotenv.2022.160371
- Application of Ceres-Millet model of DSSAT for simulating millet varieties under different sowing windows in Niger A. Mohamed et al. 10.1080/15427528.2022.2048764
- Is this land for sale? The effects of drought on land ownership in Uganda L. Murken et al. 10.1016/j.ecolecon.2023.108095
- A pan-African high-resolution drought index dataset J. Peng et al. 10.5194/essd-12-753-2020
- Remotely Sensed Comparative Spatiotemporal Analysis of Drought and Wet Periods in Distinct Mediterranean Agroecosystems S. Sakellariou et al. 10.3390/rs16193652
- +Dynamic identification and risk analysis of compound dry-hot events considering nonstationarity P. Xu et al. 10.1016/j.jhydrol.2022.128852
- Projected changes in the Iberian Peninsula drought characteristics M. García-Valdecasas Ojeda et al. 10.1016/j.scitotenv.2020.143702
- Evaluation of drought propagations with multiple indices in the Yangtze River basin M. Um et al. 10.1016/j.jenvman.2022.115494
- Evaluation of evapotranspiration estimates from observed and reanalysis data sets over Indian region G. Purnadurga et al. 10.1002/joc.6189
- Spatio-temporal analysis of drought and return periods over the East African region using Standardized Precipitation Index from 1920 to 2016 W. Kalisa et al. 10.1016/j.agwat.2020.106195
- Analysis of Severe Droughts in Taiwan and its Related Atmospheric and Oceanic Environments C. Hung & M. Shih 10.3390/atmos10030159
- Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy M. Jamei et al. 10.1016/j.compag.2023.108609
- Austral summer droughts and their driving mechanisms in observations and present‐day climate simulations over Malawi E. Likoya et al. 10.1002/joc.8137
- A global drought-aridity index: The spatiotemporal standardized precipitation evapotranspiration index H. Yu et al. 10.1016/j.ecolind.2023.110484
- A robust ensemble drought index: construction and assessment Q. Mi et al. 10.1007/s11069-022-05715-y
- Assessing the likelihood of drought impact occurrence with extreme gradient boosting: a case study on the public water supply in South Korea J. Seo & Y. Kim 10.2166/hydro.2023.064
Latest update: 20 Nov 2024
Short summary
This study aims to understand how different reference periods (i.e., calibration periods) of climate data for estimating the drought index influence regional drought assessments. Specifically, we investigate the influence of different reference periods on historical drought characteristics such as trends, frequency, intensity and spatial extents using the Standard Precipitation Evapotranspiration Index (SPEI) estimated from the two widely used global datasets.
This study aims to understand how different reference periods (i.e., calibration periods) of...