TY - JOUR
T1 - Development of a composite drought indicator for operational drought monitoring in the MENA region
AU - Bergaoui, Karim
AU - Fraj, Makram Belhaj
AU - Fragaszy, Stephen
AU - Ghanim, Ali
AU - Hamadin, Omar
AU - Al-Karablieh, Emad
AU - Al-Bakri, Jawad
AU - Fakih, Mona
AU - Fayad, Abbas
AU - Comair, Fadi
AU - Yessef, Mohamed
AU - Mansour, Hayat Ben
AU - Belgrissi, Haythem
AU - Arsenault, Kristi
AU - Peters-Lidard, Christa
AU - Kumar, Sujay
AU - Hazra, Abheera
AU - Nie, Wanshu
AU - Hayes, Michael
AU - Svoboda, Mark
AU - McDonnell, Rachael
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - This paper presents the composite drought indicator (CDI) that Jordanian, Lebanese, Moroccan, and Tunisian government agencies now produce monthly to support operational drought management decision making, and it describes their iterative co-development processes. The CDI is primarily intended to monitor agricultural and ecological drought on a seasonal time scale. It uses remote sensing and modelled data inputs, and it reflects anomalies in precipitation, vegetation, soil moisture, and evapotranspiration. Following quantitative and qualitative validation assessments, engagements with policymakers, and consideration of agencies’ technical and institutional capabilities and constraints, we made changes to CDI input data, modelling procedures, and integration to tailor the system for each national context. We summarize validation results, drought modelling challenges and how we overcame them through CDI improvements, and we describe the monthly CDI production process and outputs. Finally, we synthesize procedural and technical aspects of CDI development and reflect on the constraints we faced as well as trade-offs made to optimize the CDI for operational monitoring to support policy decision-making—including aspects of salience, credibility, and legitimacy—within each national context.
AB - This paper presents the composite drought indicator (CDI) that Jordanian, Lebanese, Moroccan, and Tunisian government agencies now produce monthly to support operational drought management decision making, and it describes their iterative co-development processes. The CDI is primarily intended to monitor agricultural and ecological drought on a seasonal time scale. It uses remote sensing and modelled data inputs, and it reflects anomalies in precipitation, vegetation, soil moisture, and evapotranspiration. Following quantitative and qualitative validation assessments, engagements with policymakers, and consideration of agencies’ technical and institutional capabilities and constraints, we made changes to CDI input data, modelling procedures, and integration to tailor the system for each national context. We summarize validation results, drought modelling challenges and how we overcame them through CDI improvements, and we describe the monthly CDI production process and outputs. Finally, we synthesize procedural and technical aspects of CDI development and reflect on the constraints we faced as well as trade-offs made to optimize the CDI for operational monitoring to support policy decision-making—including aspects of salience, credibility, and legitimacy—within each national context.
UR - http://www.scopus.com/inward/record.url?scp=85186948174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186948174&partnerID=8YFLogxK
U2 - 10.1038/s41598-024-55626-0
DO - 10.1038/s41598-024-55626-0
M3 - Article
C2 - 38443431
AN - SCOPUS:85186948174
SN - 2045-2322
VL - 14
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 5414
ER -