Comparative Evaluation of CHIRPSv2 and CHIRPSv3 over Northern Cyprus
EMCEI-26 8th Euro-Mediterranean Conference for Environmental Integration, Aveiro, Portekiz, 15 - 18 Temmuz 2026, (Yayınlanmadı)
- Yayın Türü: Bildiri / Yayınlanmadı
- Basıldığı Şehir: Aveiro
- Basıldığı Ülke: Portekiz
- TED Üniversitesi Adresli: Evet
Özet
Flood risk assessment, climate, and hydrological
analyses require information about ungauged or poorly gauged regions. While
datasets derived from remote sensing methods are useful for estimating
rainfall, their regional validation is crucial. The Climate Hazards Group
Infrared Precipitation with Station data (CHIRPS), which is a combined
high-resolution gridded dataset of in-situ gauge and satellite observations,
has recently released CHIRPSv3. There is very limited research in the
literature comparing the performance of different versions. To the authors’
knowledge, no study has been conducted for the Mediterranean basin,
particularly over Northern Cyprus. Therefore, in this study, the performances
of CHIRPSv2 and CHIRPSv3 are evaluated for the period 1981-2010 on monthly and
seasonal scales by comparing them with 33 in-situ gauge measurements, using
statistical metrics including mean bias (MB), mean absolute error (MAE), root
mean square error (RMSE), modified index of agreement (MIA), Kling-Gupta
efficiency (KGE), and Taylor diagrams. The results show that although both
versions tend to overestimate the monthly total precipitation and seasonal
precipitation in December-January-February (DJF) and March-April-May (MAM),
overestimation in CHIRPSv2 is higher in terms of median MB, which may be
attributed to both the increased number of stations underestimating
observations and the magnitude of underestimation in CHIRPSv3. On the other
hand, CHIRPSv2 shows slightly better performance than CHIRPSv3 in the remaining
metrics for monthly total precipitation. While MAE, RMSE, MIA, and KGE results,
as well as the Taylor diagram, do not exhibit significant differences between
the versions in DJF, the most notable differences are observed in MAM, where
CHIRPSv2 performs better. In September-October-November (SON), CHIRPSv3
performs slightly better only in terms of KGE, while neither version is
adequately successful in representing precipitation in June-July-August (JJA),
as indicated by low correlation and near-zero or negative KGE values. These
findings indicate that CHIRPSv3 does not provide a consistent improvement over
CHIRPSv2 in estimating monthly total and seasonal precipitation in Northern
Cyprus. While CHIRPSv3 reduces biases at most stations, increased biases at
certain stations limit improvements in other metrics. Overall, CHIRPSv2
generally demonstrates better performance in Northern Cyprus, and is
recommended for use in climate and hydrological analyses.