Spatiotemporal Dynamics of Global Drought
| Autor: | Justin Sheffield, Julio E. Herrera-Estrada, Yusuke Satoh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Record locking
010504 meteorology & atmospheric sciences 0208 environmental biotechnology 02 engineering and technology 01 natural sciences Frame of reference 020801 environmental engineering Spatial heterogeneity symbols.namesake Geophysics Climatology Evapotranspiration Climate Forecast System symbols General Earth and Planetary Sciences Environmental science Precipitation Lagrangian 0105 earth and related environmental sciences |
| Popis: | Understanding the evolution and physical drivers of drought is critical to informing forecasting efforts. One aspect that has seldom been explored is the joint evolution of droughts in space and time. Most studies fix the reference area and focus on their temporal variability, or study their spatial heterogeneity over fixed durations. This work implements a Lagrangian approach by aggregating contiguous areas under drought into clusters. These clusters become the frame of reference and are tracked as they evolve through space and time. Clusters were identified from soil moisture data from the Climate Forecast System Reanalysis (1979-2009). Evapotranspiration, moisture fluxes, and precipitation were used to explore the relevance of possible mechanisms of drought propagation. While most droughts remain near their origin, the centroid of 10% of clusters traveled at least 1,400-3,100 km, depending on the continent. This approach also revealed that large-scale droughts often lock into further growth and intensification. |
| Databáze: | OpenAIRE |
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