Spatial and Temporal Variability in Drought: Exploring Regional Drought Indicators and Indices
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 297
Special Issue Editors
Interests: spatial drought analysis; machine learning; SPI; drought forecasting; climate change and drought; remote sensing of drought; regional drought indicators
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; water management; climate change; erosion and sediment transport
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Drought is a complex and multifaceted natural phenomenon with profound implications for ecosystems, agriculture, water resources, and society. This Special Issue aims to advance the understanding of drought variability by examining regional perspectives using various assessment, monitoring, and forecasting techniques. Advanced methodologies such as remote sensing, climate modeling, machine learning, and statistical approaches enhance the accuracy and applicability of drought analysis. The key areas of focus will include the development and application of drought indices such as the Standardized Precipitation Index (SPI), Palmer Drought Severity Index (PDSI), and Soil Moisture Index (SMI). Additionally, this Special Issue will highlight regional case studies illustrating localized drought dynamics, explore the role of climate variability in drought shifts, and showcase advancements in data-driven drought risk assessment. Furthermore, research on developing robust drought early warning systems and adaptive management strategies is essential for effective drought preparedness and response. This Special Issue will contribute to evidence-based decision-making for sustainable water resource management, particularly in regions affected by drought due to climate change.
Dr. Muhammad Jehanzaib
Prof. Dr. Mohammed Achite
Guest Editors
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Keywords
- drought variability
- spatial drought analysis
- regional drought indicators
- drought indices
- hydrological drought
- meteorological drought
- agricultural drought
- climate variability
- drought risk assessment
- water scarcity
- soil moisture deficit
- evapotranspiration
- drought forecasting
- machine learning
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