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| <!DOCTYPE html> | ||
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| <!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags --> | ||
| <meta name="description" content="RainNet"> | ||
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| <title>RainNet</title> | ||
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| <!--[if lt IE 9]> | ||
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| <nav class="navbar navbar-inverse navbar-fixed-top"> | ||
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| <a class="navbar-brand" href="#">RainNet</a> | ||
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| <img src="./img/2.png" alt="RainNet" class="img-rounded" style="width: 100%;"> | ||
| </div> | ||
| </div> | ||
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| <div class="row text-center"> | ||
| <div class="col-md-* text-center" style="color:white;"> | ||
| <h2>RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling</h2> | ||
| </div> | ||
| </div> | ||
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| <div class="row"> | ||
| <div class="col-md-* text-center" style="color:white;"> | ||
| <h4>Xuanhong Chen<sup>*</sup>, Kairui Feng<sup>*</sup>, Naiyuan Liu<sup>**</sup>, Yifan Lu<sup>**</sup>, Zhengyan Tong, Bingbing Ni, Ziang Liu, Ning Lin</h4> | ||
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| <h4>Shanghai Jiao Tong University, Princeton University & University of Technology Sydney</h4> | ||
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| <h5><sup>*</sup>Equal contribution.</h5> | ||
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| <h5><sup>**</sup>Equal contribution.</h5> | ||
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| <p><a class="btn btn-primary btn-lg" href="https://github.com/neuralchen/RainNet" role="button" target="_blank"> <span class="glyphicon glyphicon-star" aria-hidden="true"></span> Code »</a></p> | ||
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| <p><a class="btn btn-primary btn-lg" href="https://arxiv.org/abs/2012.09700" role="button" target="_blank"><span class="glyphicon glyphicon-save-file" aria-hidden="true"></span> Paper »</a></p> | ||
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| <h2>Abstract</h2> | ||
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| <div class="col-md-* text-justify" style="line-height:150%; font-size: large;"> | ||
| <p> | ||
| Spatial Precipitation Downscaling is one of the most important problems in the geo-science community. However, it still remains an unaddressed issue. | ||
| Deep learning is a promising potential solution for downscaling. | ||
| In order to facilitate the research on precipitation downscaling for deep learning, | ||
| we present the first <strong>REAL</strong> (non-simulated) Large-Scale Spatial Precipitation Downscaling Dataset, | ||
| <strong>RainNet</strong>, which contains <strong>62,424</strong> pairs of low-resolution and high-resolution precipitation maps for 17 years. | ||
| Contrary to simulated data, this real dataset covers various types of real meteorological phenomena (<i>e.g.</i>, Hurricane, Squall, <i>etc</i>.), | ||
| and shows the physical characters -- <strong>Temporal Misalignment</strong>, <strong>Temporal Sparse</strong> and <strong>Fluid Properties</strong> -- that challenge the downscaling algorithms. | ||
| In order to fully explore potential downscaling solutions, we propose an implicit physical estimation framework to learn the above characteristics. | ||
| Eight metrics specifically considering the physical property of the data set are raised, while fourteen models are evaluated on the proposed dataset. | ||
| Finally, we analyze the effectiveness and feasibility of these models on precipitation downscaling task. | ||
| </p> | ||
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| <h2>Samples in RainNet</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <h3>High Resolution Precipitation Maps</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/HRGT_201009539_201009571.webp" style="width: 100%;"/> | ||
| </div> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/HRGT_201108607_201108655.webp" style="width: 100%;"/> | ||
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| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/HRGT_201109091_201109123.webp" style="width: 100%;"/> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <h3>Low Resolution Precipitation Maps</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/LRGT_201009539_201009571.webp" style="width: 100%;"/> | ||
| </div> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/LRGT_201108607_201108655.webp" style="width: 100%;"/> | ||
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| <img src="./img/LRGT_201109091_201109123.webp" style="width: 100%;"/> | ||
| </div> | ||
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| <div class="row"> | ||
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| <h3>High Resolution Precipitation Maps</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/HRGT_201010607_201010639.webp" style="width: 100%;"/> | ||
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| <img src="./img/HRGT_201011587_201011619.webp" style="width: 100%;"/> | ||
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| <img src="./img/HRGT_201110059_201110091.webp" style="width: 100%;"/> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <h3>Low Resolution Precipitation Maps</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/LRGT_201010607_201010639.webp" style="width: 100%;"/> | ||
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| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/LRGT_201011587_201011619.webp" style="width: 100%;"/> | ||
| </div> | ||
| <div class="col-md-4 col-sm-4"> | ||
| <img src="./img/LRGT_201110059_201110091.webp" style="width: 100%;"/> | ||
| </div> | ||
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| <div class="row"> | ||
| <h5 class="page-header"></h5> | ||
| </div> | ||
| <div class="row"> | ||
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| <h2>Downloads</h2> | ||
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| <div id="downloads" class="row"> | ||
| <div class="col-md-6 col-sm-6 text-center"> | ||
| <p><a class="btn btn-success btn-lg" href="https://github.com/neuralchen/RainNet" role="button" target="_blank"> <span class="glyphicon glyphicon-hdd" aria-hidden="true"></span> Donwnload via Google Drive »</a></p> | ||
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| <p><a class="btn btn-success btn-lg" href="#downloads" role="button" target="_blank"><span class="glyphicon glyphicon-cloud-download" aria-hidden="true"></span> Download via Baidu Drive »</a></p> | ||
| <span class="label label-info">password: xxxx</span> | ||
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| <div class="row"> | ||
| <h5 class="page-header"></h5> | ||
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| <h2>Citation</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <div class="well"> | ||
| @misc{chen2020rainnet,<br/> | ||
|   title={RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling},<br/> | ||
|   author={Xuanhong Chen and Kairui Feng and Naiyuan Liu and Yifan Lu and Zhengyan Tong and Bingbing Ni and Ziang Liu and Ning Lin},<br/> | ||
|   year={2020},<br/> | ||
|   eprint={2012.09700},<br/> | ||
|   archivePrefix={arXiv},<br/> | ||
|   primaryClass={cs.CV}<br/> | ||
| } | ||
| </div> | ||
| </div> | ||
| </div> | ||
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| <div class="row"> | ||
| <h5 class="page-header"></h5> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <h2>Contact</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <p>Please concat Kairui Feng <span class="label label-primary">kairuif@princeton.com</span>, | ||
| Xuanhong Chen <span class="label label-primary">xuanhongchenzju@outlook.com</span>, | ||
| Naiyuan Liu <span class="label label-primary">naiyuan.liu@student.uts.edu.au</span> and | ||
| Yifan Lu <span class="label label-primary">yifan_lu@sjtu.edu.cn</span> | ||
| for questions about the dataset. </p> | ||
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| <!-- <div class="row"> | ||
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| <div class="row"> | ||
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| <h3>High Resolution Precipitation Maps</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-6 col-sm-6"> | ||
| <img src="./img/HRGT_201109091_201109123.gif" style="width: 100%;"/> | ||
| </div> | ||
| <div class="col-md-6 col-sm-6"> | ||
| <img src="./img/HRGT_201108607_201108655.gif" style="width: 100%;"/> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-*"> | ||
| <h3>Low Resolution Precipitation Maps</h2> | ||
| </div> | ||
| </div> | ||
| <div class="row"> | ||
| <div class="col-md-6 col-sm-6"> | ||
| <img src="./img/LRGT_201109091_201109123.gif" style="width: 100%;"/> | ||
| </div> | ||
| <div class="col-md-6 col-sm-6"> | ||
| <img src="./img/LRGT_201108607_201108655.gif" style="width: 100%;"/> | ||
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