The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Global integrated drought monitoring and prediction system
Open accessAbstract
Drought is by far the most costly natural disaster that can lead to widespread impacts, including water and food crises. Here we present data sets available from the Global Integrated Drought Monitoring and Prediction System (GIDMaPS), which provides drought information based on multiple drought indicators. The system provides meteorological and agricultural drought information based on multiple satellite-, and model-based precipitation and soil moisture data sets. GIDMaPS includes a near real-time monitoring component and a seasonal probabilistic prediction module. The data sets include historical drought severity data from the monitoring component, and probabilistic seasonal forecasts from the prediction module. The probabilistic forecasts provide essential information for early warning, taking preventive measures, and planning mitigation strategies. GIDMaPS data sets are a significant extension to current capabilities and data sets for global drought assessment and early warning. The presented data sets would be instrumental in reducing drought impacts especially in developing countries. Our results indicate that GIDMaPS data sets reliably captured several major droughts from across the globe.
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Cites
Food Security: The Challenge of Feeding 9 Billion People
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Climate Change Impacts on Global Food Security
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Mazdiyasni, O., & AghaKouchak, A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422945112 · Cited by 720
Self-citationA land data assimilation system for sub-Saharan Africa food and water security applications
McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C., Peters-Lidard, C. D., & Verdin, J. P. (2017) · Scientific Data · doi:10.1038/sdata.2017.12 · Cited by 632
Seasonal Drought Prediction: Advances, Challenges, and Future Prospects
Hao, Z., Singh, V. P., & Xia, Y. (2018) · Reviews of Geophysics · doi:10.1002/2016rg000549 · Cited by 607
Self-citationA generalized framework for deriving nonparametric standardized drought indicators
Farahmand, A., & AghaKouchak, A. (2015) · Advances in Water Resources · doi:10.1016/j.advwatres.2014.11.012 · Cited by 512
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Impacts of climate change on cropping patterns in a tropical, sub-humid watershed
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AghaKouchak, A., Pan, B., Mazdiyasni, O., Sadegh, M., Jiwa, S., Zhang, W., Love, C. A., Madadgar, S., Papalexiou, S. M., Davis, S. J., et al. (2022) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2021.0288 · Cited by 67
Self-citationThe GPCC Drought Index – a new, combined and gridded global drought index
Ziese, M., Schneider, U., Meyer-Christoffer, A., Schamm, K., Vido, J., Finger, P., Bissolli, P., Pietzsch, S., & Becker, A. (2014) · Earth System Science Data · doi:10.5194/essd-6-285-2014 · Cited by 66
“Also, the “Global Integrated Drought Monitoring and Prediction System” (GIDMaPS;Hao et al., 2014) produce global analyses of the SPI and other drought-related indices.”
BackgroundCodepori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology
Rasheed, Z., Malik, S., Kemell, K.-K., Muhammad, W., Saari, M., Systä, K., & Abrahamsson, P. (2024) · doi:10.2139/ssrn.4979510 · Cited by 27
Motion-driven adaptive frame selection strategy for video action recognition
Ding, H., Guo, C., Sun, J., Jiang, X., Shi, H., & Li, J. (2025) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-025-00675-2 · Cited by 9
Morphology–aware spatiotemporal prediction of cumulonimbus–related radar echoes using CSDP–Net
Wang, D., Wang, X., Cheng, Z., Chang, X., Yuan, H., Yang, J., Liang, Y., Hu, J., & Zhang, T. (2026) · Theoretical and Applied Climatology · doi:10.1007/s00704-026-06276-x
Metadata
- Authors
- Hao, Z., AghaKouchak, A., Nakhjiri, N., & Farahmand, A.
- Venue
- Scientific Data
- Published
- 2014-03-11
- Volume
- 1
- Issue
- 1
- Pages
- 140001-140001
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W2141984324
- Cited by
- 796
- References
- 4
- Type
- data paper
- Language
- en
- Open access
- gold
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