{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Science Tech Brief By HackerNoon","title":"Deep Neural Network for Sea Surface Temperature Prediction: Experimental Results and Analysis","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c76a753b\"></iframe>","width":"100%","height":180,"duration":912,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/deep-neural-network-for-sea-surface-temperature-prediction-experimental-results-and-analysis.\nIn this paper, researchers enhance SST prediction by transferring physical knowledge from historical observations to numerical models.\nCheck more stories related to science at: https://hackernoon.com/c/science.\n            You can also check exclusive content about #oceanography-studies, #numerical-models, #sea-surface-temperature, #physical-knowledge-transfer, #earth-observation-technologies, #generative-adversarial-network, #historical-observational-data, #prediction-performance,  and more.\nThis story was written by: @oceanography. Learn more about this writer by checking @oceanography's about page,\n            and for more stories, please visit hackernoon.com.\nIn this paper, researchers enhance SST prediction by transferring physical knowledge from historical observations to numerical models.","thumbnail_url":"https://img.transistorcdn.com/S66fL9skYMhlajDauLWqBH_bXds_u8JsPbvAZlh45OA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjczLzE2ODM1/ODI0MjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}