Arid
DOI10.1007/s11069-021-04721-w
Seasonal meteorological drought projections over Iran using the NMME data
Moradian, Sogol; Yazdandoost, Farhad
通讯作者Yazdandoost, F (corresponding author), KN Toosi Univ Technol, Dept Civil Engn, 1346 Mirdamad Intersect,Valiasr Ave, Tehran 19697, Iran.
来源期刊NATURAL HAZARDS
ISSN0921-030X
EISSN1573-0840
出版年2021
英文摘要Accurate and well-planned forecasts provide critical information for preparedness and mitigation strategies as well as the sustainable practice of water resources conservation. In this paper, an experimental seasonal drought forecasting system has been developed based on meteorological hindcasts, generated by the North American Multi-Model Ensemble (NMME) models. The proposed toolbox comprises (1) NMME data as well as observations, (2) post-processing methods, namely GrandNMME and bias correction methods to statistically post-process precipitation predictions, (3) evaluation metrics of a multi-criteria decision-making method (namely the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)) to choose the best post-processed improved data, and (4) the Standardized Precipitation Index (SPI) calculator as the central engine, where distribution maps of seasonal drought forecasts are generated. The toolbox has been utilized for the case of Iran. The country is located in semiarid and arid regions of the world, facing considerable water crisis including droughts. Results indicated that the proposed NMME-based drought forecasting toolbox has a significant skill in forecasting droughts over the study area and provides critical information for early warnings, medium-term response planning and taking preventive measures.
英文关键词Iran NMME predictions Seasonal drought forecasting SPI
类型Article ; Early Access
语种英语
收录类别SCI-E
WOS记录号WOS:000636916500001
WOS类目Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/352403
作者单位[Moradian, Sogol; Yazdandoost, Farhad] KN Toosi Univ Technol, Dept Civil Engn, 1346 Mirdamad Intersect,Valiasr Ave, Tehran 19697, Iran
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Moradian, Sogol,Yazdandoost, Farhad. Seasonal meteorological drought projections over Iran using the NMME data[J],2021.
APA Moradian, Sogol,&Yazdandoost, Farhad.(2021).Seasonal meteorological drought projections over Iran using the NMME data.NATURAL HAZARDS.
MLA Moradian, Sogol,et al."Seasonal meteorological drought projections over Iran using the NMME data".NATURAL HAZARDS (2021).
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