The U.S. witnessed major flash droughts in 2012 and in 2017. Wang cites how the 2012 drought resulted in a record rise in food prices in the United States. Existing monitoring technology is not able to predict these swiftly arriving droughts, so to better understand them, the researchers focused on the 2012 and 2017 data.
"We looked at evapotranspiration, temperature, soil moisture, vapor pressure deficit, and remote sensing data on vegetation to see how the drought progresses and how plants respond. One signal really stood out," says Wang.
When photosynthesis occurs, the pigment chlorophyll emits a small amount of light. This fluorescence, called solar-induced chlorophyll fluorescence (SIF), is monitored via satellite and serves as a useful proxy for measuring the level of photosynthesis happening. SIF is a more accurate reflection of photosynthesis than other satellite signals such as the Normalized Difference Vegetation Index (NDVI), says Wang. Photosynthetic output fluctuates with seasons and other conditions, and the researchers noticed interesting trends in SIF ranging from two weeks to two months prior to the onset of a flash drought.
"We could see a strong signal that preceded the droughts, indicating a slower-than-usual increase of SIF at a time when plant photosynthesis is expected to rapidly increase. We were expecting to see a response that lagged the drought. Instead, we saw the signal weeks to months before the signal of the drought was captured by the U.S. Drought Monitor (USDM). We then realized this is no longer just about the response to drought, but more importantly, how we forecast it," Wang says.
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