Articles | Volume 18, issue 7
https://doi.org/10.5194/hess-18-2657-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-18-2657-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Jul 2014
Research article |
| 24 Jul 2014
Global meteorological drought – Part 1: Probabilistic monitoring
European Centre for Medium-Range Weather Forecasts, Reading, UK
F. Wetterhall
European Centre for Medium-Range Weather Forecasts, Reading, UK
F. Di Giuseppe
European Centre for Medium-Range Weather Forecasts, Reading, UK
G. Naumann
European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
P. Barbosa
European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
Group on Earth Observations, Geneva, Switzerland
F. Pappenberger
European Centre for Medium-Range Weather Forecasts, Reading, UK
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31 citations as recorded by crossref.
- Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. https://doi.org/10.5194/hess-20-1947-2016
- Seasonal Drought Forecasting for Latin America Using the ECMWF S4 Forecast System H. Carrão et al. https://doi.org/10.3390/cli6020048
- Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries M. Shahzaman et al. https://doi.org/10.3390/rs13163294
- Drought indicators revisited: the need for a wider consideration of environment and society S. Bachmair et al. https://doi.org/10.1002/wat2.1154
- ERA5–Drought: Global drought indices based on ECMWF reanalysis J. Keune et al. https://doi.org/10.1038/s41597-025-04896-y
- SeFo: A Package for Generating Probabilistic Forecasts from NMME Predictive Ensembles N. Krakauer https://doi.org/10.5334/jors.112
- Assessment of Seasonal Soil Moisture Forecasts over Southern South America with Emphasis on Dry and Wet Events P. Spennemann et al. https://doi.org/10.1175/JHM-D-17-0015.1
- Ensemble flood forecasting: Current status and future opportunities W. Wu et al. https://doi.org/10.1002/wat2.1432
- Flash drought monitoring using diurnal-provided evaporative demand drought index H. Li et al. https://doi.org/10.1016/j.jhydrol.2024.130961
- Hydrological drought forecasts outperform meteorological drought forecasts S. Sutanto et al. https://doi.org/10.1088/1748-9326/ab8b13
- Long-term spatio-temporal drought variability in Turkey İ. Dabanlı et al. https://doi.org/10.1016/j.jhydrol.2017.07.038
- Evaluation of TRMM 3B43 Precipitation Data for Drought Monitoring in Jiangsu Province, China H. Tao et al. https://doi.org/10.3390/w8060221
- Do CFSv2 Seasonal Forecasts Help Improve the Forecast of Meteorological Drought over Mainland China? Y. Lang et al. https://doi.org/10.3390/w12072010
- Self-similar characteristics of drought duration, total deficit, and intensity curves E. Şişman https://doi.org/10.1007/s12517-019-4977-9
- Interdecadal variability and future persistence of meteorological drought in Yunnan, Southwest China (1961–2021) W. Sun et al. https://doi.org/10.1016/j.ejrh.2025.103071
- Daily drought prediction in the Huaihe River Basin using VMD-informer-LSTM M. Li et al. https://doi.org/10.5194/hess-30-3925-2026
- Assessing multi-satellite remote sensing, reanalysis, and land surface models' products in characterizing agricultural drought in East Africa N. Agutu et al. https://doi.org/10.1016/j.rse.2017.03.041
- Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model E. Forootan et al. https://doi.org/10.1016/j.scitotenv.2023.169476
- Global Drought-Wetness Conditions Monitoring Based on Multi-Source Remote Sensing Data W. Wei et al. https://doi.org/10.3390/land13010095
- A Climate Change Impact: Variation In Precipitation Patterns, And Increased Drought Risk In Turkey İ. DABANLI https://doi.org/10.16984/saufenbilder.467119
- Efficiency of monsoon mission climate forecast system (CFSv2-T382) to predict the large-scale and regional short-term drought over India during boreal summer and its possible controlling factors G. Lekshmi et al. https://doi.org/10.1007/s00382-024-07284-1
- Multidecadal changes in hydrological droughts across Sub-Saharan Africa D. Peña-Angulo et al. https://doi.org/10.1016/j.ejrh.2025.102595
- Apprehensive Drought Characteristics over Iraq: Results of a Multidecadal Spatiotemporal Assessment M. Hameed et al. https://doi.org/10.3390/geosciences8020058
- Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China W. Wei et al. https://doi.org/10.1007/s11356-021-14122-y
- Drought hazard, vulnerability, and risk assessment in Turkey I. Dabanli https://doi.org/10.1007/s12517-018-3867-x
- Changes in precipitation and discharge in a Mediterranean catchment as a response to climate change and human activities Y. Hrour et al. https://doi.org/10.2166/wcc.2022.074
- Global meteorological drought – Part 2: Seasonal forecasts E. Dutra et al. https://doi.org/10.5194/hess-18-2669-2014
- Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982–2013): Topographical, gauge density, and model forcing influence. N. Agutu et al. https://doi.org/10.1016/j.scitotenv.2019.135149
- A Hybrid Model Evaluation Based on PCA Regression Schemes Applied to Seasonal Precipitation Forecast P. González-Jardines et al. https://doi.org/10.4236/acs.2024.143021
- Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts L. Crochemore et al. https://doi.org/10.5194/hess-20-3601-2016
- Potential of Pan-European Seasonal Hydrometeorological Drought Forecasts Obtained from a Multihazard Early Warning System S. Sutanto et al. https://doi.org/10.1175/BAMS-D-18-0196.1
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