SPI-based drought characteristics using CHIRPS over Zambia: 1981–2024
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| Titel: | SPI-based drought characteristics using CHIRPS over Zambia: 1981–2024 |
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| Autoren: | Charles Bwalya Chisanga, Edson Nkonde, Kabwe H. Mubanga, Darius Phiri, Abel Chemura, Harison K. Kipkulei |
| Quelle: | All Earth, Vol 37, Iss 1, Pp 1-19 (2025) |
| Verlagsinformationen: | Taylor & Francis Group, 2025. |
| Publikationsjahr: | 2025 |
| Bestand: | LCC:Geology LCC:Physical geography |
| Schlagwörter: | CHIRPS, drought, SPI, run theory, southern Africa, Geology, QE1-996.5, Physical geography, GB3-5030 |
| Beschreibung: | Droughts are becoming more frequent, intense and severe. However, there is lack of information on the drought characteristics in developing countries like Zambia. Further, the spatio-temporal changes in drought characteristics have received little consideration in relation to meteorological and agricultural droughts. Therefore, the aim of this study was to assess Standardized Precipitation Index (SPI)-based drought characteristics (events, duration, inter-arrival time, magnitude and severity) across Agro-ecological Regions in Zambia. The climate_indices python package was applied in computing SPI based on Gamma distribution at 1-, 3- and 6-month/s timescales using CHIRPS v2 data from 1981–2024 for ONDJFM. Drought thresholds of SPI < −1.2 were computed using the theory of runs. Results show that inter-arrival time at SPI-1, SPI-3 and SPI-6 exhibited significant increasing trends (p-value |
| Publikationsart: | article |
| Dateibeschreibung: | electronic resource |
| Sprache: | English |
| ISSN: | 2766-9645 |
| Relation: | https://doaj.org/toc/2766-9645 |
| DOI: | 10.1080/27669645.2025.2472574 |
| Zugangs-URL: | https://doaj.org/article/ccd8aef099204a218e02a14775f7f9e3 |
| Dokumentencode: | edsdoj.8aef099204a218e02a14775f7f9e3 |
| Datenbank: | Directory of Open Access Journals |
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Nájsť tento článok vo Web of Science | Abstract: | Droughts are becoming more frequent, intense and severe. However, there is lack of information on the drought characteristics in developing countries like Zambia. Further, the spatio-temporal changes in drought characteristics have received little consideration in relation to meteorological and agricultural droughts. Therefore, the aim of this study was to assess Standardized Precipitation Index (SPI)-based drought characteristics (events, duration, inter-arrival time, magnitude and severity) across Agro-ecological Regions in Zambia. The climate_indices python package was applied in computing SPI based on Gamma distribution at 1-, 3- and 6-month/s timescales using CHIRPS v2 data from 1981–2024 for ONDJFM. Drought thresholds of SPI < −1.2 were computed using the theory of runs. Results show that inter-arrival time at SPI-1, SPI-3 and SPI-6 exhibited significant increasing trends (p-value |
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| ISSN: | 27669645 |
| DOI: | 10.1080/27669645.2025.2472574 |