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Technology","award":["2022YFS0541"],"award-info":[{"award-number":["2022YFS0541"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Nowcasting of severe convective precipitation is of great importance in meteorological disaster prevention. Radar echo extrapolation is an effective method for short-term precipitation nowcasting. The traditional radar echo extrapolation methods lack the utilization of radar historical data as well as overlooking the nonlinear motion of small- to medium-sized convective systems in radar echoes. To solve this, we propose a deep-learning model combining CNN and RNN. The model T-UNet proposed in this paper uses an efficient convolutional neural network of UNet architecture with a residual network, where the encoder and decoder networks are connected by nested dense skip paths, while a TrajGRU recurrent neural network is added at each layer, to achieve the perceptual capability of time series. The quantitative statistical evaluation showed that the use of T-UNet could improve the nowcasting skill (CSI score, HSS score) by a maximum of 10.57% and 7.80% over a 60 min prediction cycle. Further evaluation showed that T-UNet also improved the prediction accuracy and prediction performance in the strong echo region.<\/jats:p>","DOI":"10.3390\/rs14195042","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T03:07:28Z","timestamp":1665371248000},"page":"5042","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Prediction of Radar Echo Space-Time Sequence Based on Improving TrajGRU Deep-Learning Model"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1123-2790","authenticated-orcid":false,"given":"Qiangyu","family":"Zeng","sequence":"first","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5894-371X","authenticated-orcid":false,"given":"Haoran","family":"Li","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Yunnan Atmospheric Sounding Technology Support Center, Kunming 650034, China"}]},{"given":"Jianxin","family":"He","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"given":"Fugui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0090-2840","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8295-506X","authenticated-orcid":false,"given":"Zhipeng","family":"Qing","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"given":"Qiu","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]},{"given":"Bangyue","family":"Shen","sequence":"additional","affiliation":[{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"},{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1175\/1520-0450(2003)042<0381:ADASSA>2.0.CO;2","article-title":"A dynamic and spatial scaling approach to advection forecasting","volume":"42","author":"Seed","year":"2003","journal-title":"J. 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