Global drought impacts in near-real-time: a media-based database for drought impact reporting
Drought impact monitoring is often limited by data availability in terms of both access to impact information and the effectiveness of data acquisition. These challenges have been partially addressed by employing the drought impact information accessed via text data (newspaper articles or online soc...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Environmental Research Letters |
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| Online Access: | https://doi.org/10.1088/1748-9326/ade819 |
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| author | M Hlavsová M Poděbradská M Fischer Z Žalud M Trnka |
| author_facet | M Hlavsová M Poděbradská M Fischer Z Žalud M Trnka |
| author_sort | M Hlavsová |
| collection | DOAJ |
| description | Drought impact monitoring is often limited by data availability in terms of both access to impact information and the effectiveness of data acquisition. These challenges have been partially addressed by employing the drought impact information accessed via text data (newspaper articles or online social network content). While this approach provides valuable insights, it remains constrained by temporal relevance, as data preparation is often retrospective and time-consuming. In this study, we introduce the Global Drought Impact Report Database, a system for the weekly collection and classification of drought impact data from online media sources, designed to support near-real-time monitoring. The database includes over 9400 drought impact reports from 152 countries. The database is updated weekly, and the results are publicly available at a pilot database content viewer. The database can serve as a complementary source for drought monitoring, early impact detection, and global impact analysis, and may support further assessment of drought monitoring systems. |
| format | Article |
| id | doaj-art-8de63c0ecefe47f8898d87c2024f5c66 |
| institution | Matheson Library |
| issn | 1748-9326 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj-art-8de63c0ecefe47f8898d87c2024f5c662025-07-04T08:50:26ZengIOP PublishingEnvironmental Research Letters1748-93262025-01-0120808402710.1088/1748-9326/ade819Global drought impacts in near-real-time: a media-based database for drought impact reportingM Hlavsová0https://orcid.org/0000-0003-1951-4290M Poděbradská1https://orcid.org/0000-0002-3121-4904M Fischer2https://orcid.org/0000-0002-7841-9317Z Žalud3https://orcid.org/0000-0003-1882-9901M Trnka4https://orcid.org/0000-0003-4727-8379Department of Climate Change Impacts on Agroecosystems, Global Change Research Institute CAS , Bělidla 986/4a, 60200 Brno, Czech Republic; Department of Agrosystems and Bioclimatology, Mendel University in Brno , Zemědělská 1665/1, 61300 Brno, Czech RepublicDepartment of Climate Change Impacts on Agroecosystems, Global Change Research Institute CAS , Bělidla 986/4a, 60200 Brno, Czech Republic; Department of Agrosystems and Bioclimatology, Mendel University in Brno , Zemědělská 1665/1, 61300 Brno, Czech RepublicDepartment of Climate Change Impacts on Agroecosystems, Global Change Research Institute CAS , Bělidla 986/4a, 60200 Brno, Czech Republic; Department of Agrosystems and Bioclimatology, Mendel University in Brno , Zemědělská 1665/1, 61300 Brno, Czech RepublicDepartment of Climate Change Impacts on Agroecosystems, Global Change Research Institute CAS , Bělidla 986/4a, 60200 Brno, Czech Republic; Department of Agrosystems and Bioclimatology, Mendel University in Brno , Zemědělská 1665/1, 61300 Brno, Czech RepublicDepartment of Climate Change Impacts on Agroecosystems, Global Change Research Institute CAS , Bělidla 986/4a, 60200 Brno, Czech Republic; Department of Agrosystems and Bioclimatology, Mendel University in Brno , Zemědělská 1665/1, 61300 Brno, Czech RepublicDrought impact monitoring is often limited by data availability in terms of both access to impact information and the effectiveness of data acquisition. These challenges have been partially addressed by employing the drought impact information accessed via text data (newspaper articles or online social network content). While this approach provides valuable insights, it remains constrained by temporal relevance, as data preparation is often retrospective and time-consuming. In this study, we introduce the Global Drought Impact Report Database, a system for the weekly collection and classification of drought impact data from online media sources, designed to support near-real-time monitoring. The database includes over 9400 drought impact reports from 152 countries. The database is updated weekly, and the results are publicly available at a pilot database content viewer. The database can serve as a complementary source for drought monitoring, early impact detection, and global impact analysis, and may support further assessment of drought monitoring systems.https://doi.org/10.1088/1748-9326/ade819natural language processingtext miningonline mediadrought impactslarge language models |
| spellingShingle | M Hlavsová M Poděbradská M Fischer Z Žalud M Trnka Global drought impacts in near-real-time: a media-based database for drought impact reporting Environmental Research Letters natural language processing text mining online media drought impacts large language models |
| title | Global drought impacts in near-real-time: a media-based database for drought impact reporting |
| title_full | Global drought impacts in near-real-time: a media-based database for drought impact reporting |
| title_fullStr | Global drought impacts in near-real-time: a media-based database for drought impact reporting |
| title_full_unstemmed | Global drought impacts in near-real-time: a media-based database for drought impact reporting |
| title_short | Global drought impacts in near-real-time: a media-based database for drought impact reporting |
| title_sort | global drought impacts in near real time a media based database for drought impact reporting |
| topic | natural language processing text mining online media drought impacts large language models |
| url | https://doi.org/10.1088/1748-9326/ade819 |
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