Analysis of climate variability and droughts in East Africa using high-resolution climate data products

Gebrechorkos, Solomon H., Hülsmann, Stephan and Bernhofer, Christian, (2020). Analysis of climate variability and droughts in East Africa using high-resolution climate data products. Global and Planetary Change, 186 1-11

Document type:
Article
Collection:
UNU-FLORES Articles

Metadata
Links
Versions
Statistics
  • Sub-type Journal article
    Author Gebrechorkos, Solomon H.
    Hülsmann, Stephan
    Bernhofer, Christian
    Title Analysis of climate variability and droughts in East Africa using high-resolution climate data products
    Appearing in Global and Planetary Change
    Volume 186
    Publication Date 2020-01-23
    Place of Publication Amsterdam, Netherlands
    Publisher Elsevier B.V.
    Start page 1
    End page 11
    Language eng
    Abstract Analysis of climate variability and change as a basis for adaptation and mitigation strategies requires long-term observations. However, the limited availability of ground station data constrains studies focusing on detecting variability and changes in climate and drought monitoring, particularly in developing countries of East Africa. Here, we use high-resolution precipitation (1981–2016) and maximum and minimum temperature (T-max and T-min) (1979–2012) datasets from international databases like the Climate Hazard Group (CHG), representing the most accurate data sources for the region. We assessed seasonal, annual, and decadal variability in rainfall, T-max and T-min and drought conditions using the Standardized Precipitation Index (SPI). The impact of changes in Sea Surface Temperature on rainfall variability and droughts is assessed using the Nino3.4 and Indian Ocean Dipole (IOD) indices. The results show maximum variability in rainfall during October–December (OND, short rainy season) followed by March–May (MAM, long rainy season). Rainfall variability during OND showed a significant correlation with IOD in Ethiopia (69%), Kenya (80%), and Tanzania (63%). In Ethiopia, the period June–September (JJAS) showed a significant negative correlation (−56%) with the Nino3.4. Based on the 12-month SPI, the eastern and western parts of the region are getting drier and wetter, respectively with an average of mild, moderate, and severe droughts of more than 37%, 6%, and 2% of the study period, respectively. The observed severe droughts (e.g., 1999/2000) and extreme floods (e.g., 1997/1998) were found to be linked to respective negative and positive anomalies of the Nino3.4. In general, climate data products with high spatial resolution and accuracy help detect changes and variability in climate at local scale where adaptation is required.
    UNBIS Thesaurus EAST AFRICA
    Keyword Climate variability
    High-resolution climate datasets
    Droughts
    Nino3.4
    Copyright Holder Elsevier B.V.
    Copyright Year 2020
    Copyright type All rights reserved
    DOI 10.1016/j.gloplacha.2020.103130
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 644 Abstract Views  -  Detailed Statistics
    Created: Thu, 06 Feb 2020, 20:54:16 JST by Eric Siegmund on behalf of UNU FLORES