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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
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				<h1><a href="index.html">Di Chen</a></h1>
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			<h3><p><strong>Description</strong>: Precipitation frequency (F) and intensity (I) are are highly sensitive to the spatial and temporal resolutions of the input data and this complicates the comparison between models and observations. Here, we analyze 3-hourly precipitation data on 0.25 degree from two satellite-derived datasets, namely TRMM 3B42 and CMORPH_V1.0, to quantify the dependence of the estimated precipitation F and I on data resolution. We then develop a probability-based relationship to explain this dependence, and examine the spatial and seasonal variations in the estimated F and I fields.</p></h3>
			<h3><p><strong>Publication</strong>: Chen D, Dai A (2017) Dependence of estimated precipitation frequency and intensity on data resolution. Clim Dyn. doi:10.1007/s00382-017-3830-7. <a href="https://link.springer.com/article/10.1007%2Fs00382-017-3830-7" target="_blank" rel="nofollow">Online version</a></p></h3>
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			<h8><p>First time attending AGU Fall Meeting in 2016, I was awarded the Outstanding Student Paper Award (OSPA) for this work!</h8></p>
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			<h4><p>Links</h4></p>
			<h7><p><a href="https://pmm.nasa.gov/data-access/downloads/trmm" target="_blank" rel="nofollow">TRMM 3-hourly Precip</a></h7></p>
			<h7><p><a href="ftp://ftp.cpc.ncep.noaa.gov/precip/CMORPH_V1.0/CRT/0.25deg-3HLY/" target="_blank" rel="nofollow">CMORPH 3-hourly Precip</a>      </h7></p>
			<h7><p><a href="https://www.esrl.noaa.gov/psd/data/gridded/data.gpcp.html" target="_blank" rel="nofollow">GPCP Monthly Global Precip</a>      </h7></p>
			<h7><p><a href="https://www.esrl.noaa.gov/psd/data/gridded/data.cpc_hour.html" target="_blank" rel="nofollow">CPC Hourly US Precip</a>
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