<div class="csl-bib-body">
<div class="csl-entry">Harris, B., Taylor, C. M., Weedon, G., Talib, J., Dorigo, W., & Van Der Schalie, R. (2022). Satellite‐Observed Vegetation Responses to Intraseasonal Precipitation Variability. <i>Geophysical Research Letters</i>, <i>49</i>(15). https://doi.org/10.1029/2022GL099635</div>
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dc.identifier.issn
0094-8276
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/80344
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dc.description.abstract
There is limited understanding of how vegetation responds to intraseasonal modes of rainfall variability despite their importance in many tropical regions. We use observations of precipitation and X-band Vegetation Optical Depth (VOD) from 2000 to 2018 to assess the relationships between rainfall and vegetation water content on 25–60-day timescales. Cross-spectral analysis identifies coherent intraseasonal relationships between precipitation and VOD, mostly in arid or semi-arid regions where vegetation is water-limited. Changes in VOD tend to lag anomalous rainfall, usually within 7 days. The fastest vegetation response is observed in sparsely vegetated areas (median 3 days). Following strong intraseasonal wet events, anomalously high VOD can persist for 2 months after the rainfall peak. This vegetation response can feed back onto the atmosphere, so improved representation of vegetation responses in models has the potential to improve subseasonal-to-seasonal forecasts.
en
dc.language.iso
en
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dc.publisher
American Geophysical Union
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dc.relation.ispartof
Geophysical Research Letters
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Precipitation variability
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dc.subject
Satellite observation of vegetation
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dc.title
Satellite‐Observed Vegetation Responses to Intraseasonal Precipitation Variability