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Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (24)
作者:  Schneider, Tapio;  Lan, Shiwei;  Stuart, Andrew;  Teixeira, Joao
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/09
Earth system models  parameterizations  data assimilation  machine learning  Kalman inversion  Markov chain Monte Carlo  
Venus's winds and temperatures during the MESSENGER's flyby: An approximation to a three-dimensional instantaneous state of the atmosphere 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (8)
作者:  Peralta, J.;  Lee, Y. J.;  Hueso, R.;  Clancy, R. T.;  Sandor, B. J.;  Sanchez-Lavega, A.;  Lellouch, E.;  Rengel, M.;  Machado, P.;  Omino, M.;  Piccialli, A.;  Imamura, T.;  Horinouchi, T.;  Murakami, S.;  Ogohara, K.;  Luz, D.;  Peach, D.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Venus  atmospheric dynamics  atmospheric temperature  
Assessing extratropical impact on the tropical bias in coupled climate model with regional coupled data assimilation 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (7)
作者:  Lu, F.;  Liu, Z.;  Zhang, S.;  Jacob, R.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
tropical bias  climate model  coupled data assimilation  extratropical-to-tropical teleconnection  
Modeling the ionospheric prereversal enhancement by using coupled thermosphere-ionosphere data assimilation 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (4)
作者:  Chen, Chia-Hung;  Lin, Charles;  Chen, Wei-Han;  Matsuo, Tomoko
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09