Spatial characterization of drought through CHIRPS and a station-based dataset in the Eastern Mediterranean
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Copernicus Publications
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Drought is a natural hazard which occurs in all climatic zones and affects different sectors, such as irrigation, energy, water supply, and ecology. Monitoring 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. However, 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. In this situation, remote sensing datasets such as Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) can offer valuable insights into long-term developments and the spatial characteristics of droughts. Nonetheless, 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. In this analysis, we aim to evaluate spatial drought conditions over the Seyhan River basin in Turkey in the Eastern Mediterranean. Using the Standardized Precipitation Index (SPI) as a drought index, the applicability of CHIRPS as a long-term satellite precipitation product for drought monitoring is investigated. We 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). Our results offer insights into the relative accuracy of CHIRPS data and avenues towards optimizing the quality of spatial drought characterization. Copyright: © 2024 Christina Orieschnig.
Açıklama
IAHS Scientific Assembly 2022 - Hydrological Sciences in the Anthropocene, IAHS 2022 -- 29 May 2022 through 3 June 2022 -- Montpellier -- 199967
Anahtar Kelimeler
CHIRPS, Drought monitoring, Remote sensing, SDG13, Seyhan River Basin (Turkey)
Kaynak
Proceedings of the International Association of Hydrological Sciences
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
385
