Articles | Volume 385
https://doi.org/10.5194/piahs-385-79-2024
https://doi.org/10.5194/piahs-385-79-2024
Post-conference publication
 | 
18 Apr 2024
Post-conference publication |  | 18 Apr 2024

Spatial characterization of drought through CHIRPS and a station-based dataset in the Eastern Mediterranean

Christina Orieschnig and Yonca Cavus

Viewed

Total article views: 97 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
62 29 6 97 3 3
  • HTML: 62
  • PDF: 29
  • XML: 6
  • Total: 97
  • BibTeX: 3
  • EndNote: 3
Views and downloads (calculated since 18 Apr 2024)
Cumulative views and downloads (calculated since 18 Apr 2024)

Viewed (geographical distribution)

Total article views: 88 (including HTML, PDF, and XML) Thereof 88 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 May 2024
Download
Short summary
Drought is a serious natural hazard that needs to be understood well to minimize impacts on ecology, agriculture, energy supply, and other sectors. In this paper, we compare two different datasets scientists can use to monitor droughts by calculating an indicator called the Standardized Precipitation Index. One dataset is collected by nineteen meteorological stations in our study area, the Seyhan Basin in Turkey. The second is CHIRPS, which contains rainfall data estimated from satellite images.