Abstract
In this study, we propose an approach based on the residual-based bootstrap method to obtain valid prediction intervals using monthly, short-term (three-months) and mid-term (six-months) drought observations. The effects of North Atlantic and Arctic Oscillation indexes on the constructed prediction intervals are also examined. Performance of the proposed approach is evaluated for the Palmer Drought Severity Index (PDSI) obtained from Konya closed basin located in Central Anatolia, Turkey. The finite sample properties of the proposed method are further illustrated by an extensive simulation study. Our results revealed that the proposed approach is capable of producing valid prediction intervals for future PDSI values.
| Original language | English |
|---|---|
| Pages (from-to) | 461-470 |
| Number of pages | 10 |
| Journal | Journal of Hydrology |
| Volume | 559 |
| DOIs | |
| Publication status | Published - Apr 2018 |
Bibliographical note
Publisher Copyright:© 2018 Elsevier B.V.
Funding
We thank two anonymous referees for valuable suggestions and comments, which helped us improve the manuscrip significantly. We would like to acknowledge the support of TUBITAK (Scientific and Technological Research Council of Turkey) for financial support. The authors wish to thank to MGM (Turkish State Meteorological Service) authorities for providing data.
| Funders |
|---|
| TUBITAK |
| Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |
Keywords
- Bootstrap
- Drought
- Konya basin
- PDSI
- Prediction