Forecasting dryland vegetation condition months in advance through satellite data assimilation
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Tian, Siyuan; Van Dijk, Albert; Tregoning, Paul; Renzullo, Luigi
Description
Dryland ecosystems are characterised by rainfall variability and strong vegetation response to changes in water availability over a range of timescales. Forecasting dryland vegetation condition can be of great value in planning agricultural decisions, drought relief, land management and fire preparedness. At monthly to seasonal time scales, knowledge of water stored in the system contributes more to predictability than knowledge of the climate system state. However, realising forecast skill...[Show more]
Collections | ANU Research Publications |
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Date published: | 2019 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/201781 |
Source: | Nature Communications |
DOI: | 10.1038/s41467-019-08403-x |
Access Rights: | Open Access |
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File | Description | Size | Format | Image |
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01_Tian_Forecasting_dryland_vegetation_2019.pdf | 3 MB | Adobe PDF |
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