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Water Cycle Extremes in the GRACE and GRACE-FO Data Record
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<p>A unique aspect of satellite gravimetry is its ability to quantify changes in all water stored at all depths on and beneath the land surface.&#160; Hence, GRACE and GRACE-FO are well suited for quantifying both hydrological droughts, when terrestrial water storage (TWS) is low, and pluvial events, when TWS is high.&#160; In this study we use GRACE and GRACE-FO data assimilation within a land surface model to fill the 1-year gap between the two missions and to replace other missing data.&#160; We apply a cluster analysis approach to identify the locations and extents of TWS extreme events in resulting data record.&#160; We then rank these events based on their intensity, i.e., the integral of the non-seasonal water mass anomaly over the period of the event. &#160;In this presentation we report on the largest wet and dry events over each continent.&#160; During the period of study, Africa, North America, and Australia each had a wet event with an intensity that exceeded 10,000 km<sup>3</sup> * month, although the 2010-2012 event in Australia can largely be attributed to a depressed baseline TWS during the period caused by the millennial drought.&#160; With 30 more years of data it is probable that the intensity of that drought would have been greater than the recovery and wet event during 2010-2012.&#160; As it stands, the biggest drought event was determined to be one occurred in South America during 2015-2016, with an intensity of over 10,000 km<sup>3</sup> * month.</p>
Title: Water Cycle Extremes in the GRACE and GRACE-FO Data Record
Description:
<p>A unique aspect of satellite gravimetry is its ability to quantify changes in all water stored at all depths on and beneath the land surface.
&#160; Hence, GRACE and GRACE-FO are well suited for quantifying both hydrological droughts, when terrestrial water storage (TWS) is low, and pluvial events, when TWS is high.
&#160; In this study we use GRACE and GRACE-FO data assimilation within a land surface model to fill the 1-year gap between the two missions and to replace other missing data.
&#160; We apply a cluster analysis approach to identify the locations and extents of TWS extreme events in resulting data record.
&#160; We then rank these events based on their intensity, i.
e.
, the integral of the non-seasonal water mass anomaly over the period of the event.
&#160;In this presentation we report on the largest wet and dry events over each continent.
&#160; During the period of study, Africa, North America, and Australia each had a wet event with an intensity that exceeded 10,000 km<sup>3</sup> * month, although the 2010-2012 event in Australia can largely be attributed to a depressed baseline TWS during the period caused by the millennial drought.
&#160; With 30 more years of data it is probable that the intensity of that drought would have been greater than the recovery and wet event during 2010-2012.
&#160; As it stands, the biggest drought event was determined to be one occurred in South America during 2015-2016, with an intensity of over 10,000 km<sup>3</sup> * month.
</p>.
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