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Optimization research on air quality numerical model forecasting effects based on deep learning methods 期刊论文
Atmospheric Research, 2022
作者:  Wei Wang, Xingqin An, Qingyong Li, Yangli-ao Geng, ... Xinyuan Zhou
收藏  |  浏览/下载:13/0  |  提交时间:2022/02/23
Inverse modelling of carbonyl sulfide: implementation, evaluation and implications for the global budget 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Jin Ma, Linda M. J. Kooijmans, Ara Cho, Stephen A. Montzka, Norbert Glatthor, John R. Worden, Le Kuai, Elliot L. Atlas, and Maarten C. Krol
收藏  |  浏览/下载:22/0  |  提交时间:2020/07/14
Development of advanced artificial intelligence models for daily rainfall prediction 期刊论文
ATMOSPHERIC RESEARCH, 2020, 237
作者:  Binh Thai Pham;  Lu Minh Le;  Tien-Thinh Le;  Kien-Trinh Thi Bui;  Vuong Minh Le;  Hai-Bang Ly;  Prakash, Indra
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/02
Rainfall  Artificial Neural Networks  Robustness analysis  Support Vector Machines  Adaptive Network based Fuzzy Inference System  Particle Swarm Optimization  
Model simulations of atmospheric methane (1997-2016) and their evaluation using NOAA and AGAGE surface and IAGOS-CARIBIC aircraft observations 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (9) : 5787-5809
作者:  Zimmermann, Peter H.;  Brenninkmeijer, Carl A. M.;  Pozzer, Andrea;  Joeckel, Patrick;  Winterstein, Franziska;  Zahn, Andreas;  Houweline, Sander;  Lelieyeld, Jos
收藏  |  浏览/下载:15/0  |  提交时间:2020/05/20
Design and evaluation of CO2 observation network to optimize surface CO2 fluxes in Asia using observation system simulation experiments 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (8) : 5175-5195
作者:  Park, Jun;  Kim, Hyun Mee
收藏  |  浏览/下载:6/0  |  提交时间:2020/05/13
Assessing the sensitivity of land-atmosphere coupling strength to boundary and surface layer parameters in the WRF model over Amazon 期刊论文
ATMOSPHERIC RESEARCH, 2020, 234
作者:  Wang, Chen;  Qian, Yun;  Duan, Qingyun;  Huang, Maoyi;  Berg, Larry K.;  Shin, Hyeyum H.;  Feng, Zhe;  Yang, Ben;  Quan, Jiping;  Hong, Songyou;  Yan, Junhua
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
L-A coupling strength  Amazon region  WRF model  Model uncertainties  Parameter sensitivity analysis  
Evaluating China's anthropogenic CO2 emissions inventories: a northern China case study using continuous surface observations from 2005 to 2009 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (6) : 3569-3588
作者:  Dayalu, Archana;  Munger, J. William;  Wang, Yuxuan;  Wofsy, Steven C.;  Zhao, Yu;  Nehrkorn, Thomas;  Nielsen, Chris;  McElroy, Michael B.;  Chang, Rachel
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
Virtual discovery of melatonin receptor ligands to modulate circadian rhythms 期刊论文
NATURE, 2020, 579 (7800) : 609-+
作者:  Huang, Weijiao;  Masureel, Matthieu;  Qu, Qianhui;  Janetzko, John;  Inoue, Asuka;  Kato, Hideaki E.;  Robertson, Michael J.;  Nguyen, Khanh C.;  Glenn, Jeffrey S.;  Skiniotis, Georgios;  Kobilka, Brian K.
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/03

The neuromodulator melatonin synchronizes circadian rhythms and related physiological functions through the actions of two G-protein-coupled receptors: MT1 and MT2. Circadian release of melatonin at night from the pineal gland activates melatonin receptors in the suprachiasmatic nucleus of the hypothalamus, synchronizing the physiology and behaviour of animals to the light-dark cycle(1-4). The two receptors are established drug targets for aligning circadian phase to this cycle in disorders of sleep(5,6) and depression(1-4,7-9). Despite their importance, few in vivo active MT1-selective ligands have been reported(2,8,10-12), hampering both the understanding of circadian biology and the development of targeted therapeutics. Here we docked more than 150 million virtual molecules to an MT1 crystal structure, prioritizing structural fit and chemical novelty. Of these compounds, 38 high-ranking molecules were synthesized and tested, revealing ligands with potencies ranging from 470 picomolar to 6 micromolar. Structure-based optimization led to two selective MT1 inverse agonists-which were topologically unrelated to previously explored chemotypes-that acted as inverse agonists in a mouse model of circadian re-entrainment. Notably, we found that these MT1-selective inverse agonists advanced the phase of the mouse circadian clock by 1.3-1.5 h when given at subjective dusk, an agonist-like effect that was eliminated in MT1- but not in MT2-knockout mice. This study illustrates the opportunities for modulating melatonin receptor biology through MT1-selective ligands and for the discovery of previously undescribed, in vivo active chemotypes from structure-based screens of diverse, ultralarge libraries. A computational screen of an ultra-large virtual library against the structure of the melatonin receptor found nanomolar ligands, and ultimately two selective MT1 inverse agonists that induced phase advancement of the mouse circadian clock when given at subjective dusk.


  
Technical note: Deep learning for creating surrogate models of precipitation in Earth system models 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (4) : 2303-2317
作者:  Weber, Theodore;  Corotan, Austin;  Hutchinson, Brian;  Krayitz, Ben;  Link, Robert
收藏  |  浏览/下载:4/0  |  提交时间:2020/07/02
Improving WRF model turbine-height wind-speed forecasting using a surrogate- based automatic optimization method 期刊论文
ATMOSPHERIC RESEARCH, 2019, 226: 1-16
作者:  Di, Zhenhua;  Ao, Juan;  Duan, Qingyun;  Wang, Jin;  Gong, Wei;  Shen, Chenwei;  Gan, Yanjun;  Liu, Zhao
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
WRF  Parameter optimization  Surrogate modeling-based optimization  Turbine-height wind-speed forecasting