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  SPI-based drought characteristics using CHIRPS over Zambia: 1981–2024

Chisanga, C. B., Nkonde, E., Mubanga, K. H., Phiri, D., Chemura, A., Kipkulei, H. K. (2025): SPI-based drought characteristics using CHIRPS over Zambia: 1981–2024. - All Earth, 37, 1, 1-19.
https://doi.org/10.1080/27669645.2025.2472574

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SPI-based drought characteristics using CHIRPS over Zambia 1981 2024.pdf (???ENUM_CONTENTCATEGORY_publisher-version???), 12???ViewItemMedium_lblFileSizeMB???
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SPI-based drought characteristics using CHIRPS over Zambia 1981 2024.pdf
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application/pdf / [MD5]
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http://creativecommons.org/licenses/by/4.0/

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 ???ViewItemFull_lblCreators???:
Chisanga, Charles Bwalya1, ???ENUM_CREATORROLE_AUTHOR???
Nkonde, Edson1, ???ENUM_CREATORROLE_AUTHOR???
Mubanga, Kabwe H.1, ???ENUM_CREATORROLE_AUTHOR???
Phiri, Darius1, ???ENUM_CREATORROLE_AUTHOR???
Chemura, Abel2, ???ENUM_CREATORROLE_AUTHOR???                 
Kipkulei, Harison K.1, ???ENUM_CREATORROLE_AUTHOR???
???ViewItemFull_lblAffiliations???:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 ???ViewItemFull_lblAbstract???: 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 <0.05). However, drought events, magnitude and duration at SPI-6 exhibits significant decreasing trends. The combined drought categories increases from SPI-6 (19,392) followed by SPI-3 (19,619) and SPI-1 (20,260). The detected drought conditions from 1981–2024 was moderately dry. It is therefore, short-term water deficits of up to 6 months are increasing in Zambia and thus they have to be considered in agricultural management, drought assessment and in informing policy, National Development Plan and National Adaptation Plans.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2024-08-092025-02-222025-03-072025-03-07
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1080/27669645.2025.2472574
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD2 - Climate Resilience
???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD2 - Climate Resilience
???ENUM_IDENTIFIERTYPE_WORKINGGROUP???: Adaptation in Agricultural Systems
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Adaptation
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Food & Agriculture
???ENUM_IDENTIFIERTYPE_REGIONALK???: Africa
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Open Source Software
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Quantitative Methods
???ENUM_IDENTIFIERTYPE_MDB_ID???: No data to archive
???ENUM_IDENTIFIERTYPE_OATYPE???: Gold Open Access
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???ViewItemFull_lblSourceTitle???: All Earth
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, oa
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Taylor & Francis