@article{fdi:010093234,
  title = {{S}patial characterization of drought through {CHIRPS} and a station-based dataset in the {E}astern {M}editerranean},
  author = {{O}rieschnig, {C}hristina and {C}avus, {Y}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}rought is a natural hazard which occurs in all climatic zones and affects different sectors, such as irrigation, energy, water supply, and ecology. {M}onitoring and predicting drought are pressing challenges, as drought is becoming more common and severe owing to the impacts of climate change and increased climatic variability. {H}owever, in many areas of the globe, the temporal and spatial characterization of droughts and drought severities are hindered by a lack of reliable, locally-measured long-term data and unevenly distributed, erratic meteorological stations. {I}n this situation, remote sensing datasets such as {C}limate {H}azards {G}roup {I}nfra{R}ed {P}recipitation with {S}tation {D}ata ({CHIRPS}) can offer valuable insights into long-term developments and the spatial characteristics of droughts. {N}onetheless, it is often uncertain to which extent data such as {CHIRPS} succeeds in representing local dynamics and how this varies between geographical regions and climate zones. {I}n this analysis, we aim to evaluate spatial drought conditions over the {S}eyhan {R}iver basin in {T}urkey in the {E}astern {M}editerranean. {U}sing the {S}tandardized {P}recipitation {I}ndex ({SPI}) as a drought index, the applicability of {CHIRPS} as a long-term satellite precipitation product for drought monitoring is investigated. {W}e compare two spatial representations of the {SPI}: one derived on a per-pixel basis from {CHIRPS} data since 1981, the other based on data from 19 meteorological stations scattered across the basin, which was spatialized using inverse distance weighted interpolation ({IDW}). {O}ur results offer insights into the relative accuracy of {CHIRPS} data and avenues towards optimizing the quality of spatial drought characterization.},
  keywords = {{MEDITERRANEE} ; {TURQUIE} ; {SEYHAN} {FLEUVE}},
  booktitle = {},
  journal = {{P}roceedings of {IAHS}},
  volume = {385},
  numero = {},
  pages = {79--84},
  ISSN = {2199-899{X}},
  year = {2024},
  DOI = {10.5194/piahs-385-79-2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093234},
}