Results 111 to 120 of about 21,404,104 (365)

Non‐Respiratory Extracellular Electron Transfer Competes with Nitrogenase for Electrons in Rhodopseudomonas Palustris

Advanced Science, EarlyView.
This study develops a photosynthetic bioelectrochemical nitrogen fixation system for simultaneous nitrogen fixation and current generation using Rhodopseudomonas palustris. Notably, extracellular electron transfer (EET) serves as a redox balancing strategy, suppressing nitrogen fixation by competing with nitrogenase for electrons.
Xuewen Liu, Panqing Qi, Weipeng Fan, Wuyang Liu, Xingjiang Li, Yong Nie, Xiao‐Lei Wu   +6 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

Unveiling Energy Conversions of the Venus Atmosphere by the Bred Vectors

Geophysical Research Letters
The Lorenz energy cycle was often used to analyze energy conversions related to instabilities in planetary atmospheres using zonal means as basic states.
Jianyu Liang, Norihiko Sugimoto, Takemasa Miyoshi   +2 more
doaj   +1 more source

Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]

, 2011
Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin, Jardak, Mohamed, Lee, Meemong, Sandu, Adrian, Singh, Kumaresh   +4 more
core   +1 more source

Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean

Frontiers in Marine Science, 2019
Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational demands of analysis, forecasting ...
A. Moore, Matthew J. Martin, S. Akella, H. Arango, M. Balmaseda, Laurent Bertino, S. Ciavatta, B. Cornuelle, Jim Cummings, S. Frolov, Pierre FJ Lermusiaux, P. Oddo, P. Oke, A. Storto, A. Teruzzi, A. Vidard, A. Weaver   +16 more
semanticscholar   +1 more source

Development of a data assimilation algorithm

Computers & Mathematics with Applications, 2008
AbstractIt is important to incorporate all available observations when large-scale mathematical models arising in different fields of science and engineering are used to study various physical and chemical processes. Variational data assimilation techniques can be used in the attempts to utilize efficiently observations in a large-scale model (for ...
Thomsen, Per Grove, Zlatev, Zahari
openaire   +3 more sources

Antagonistic Ghd7‐OsNAC42 Complexes Modulate Carbon and Nitrogen Metabolism to Achieves Superior Quality and High Yield in Rice

Advanced Science, EarlyView.
The complex centered on Ghd7 binds to numerous carbon and nitrogen metabolism genes on the genome through the corresponding motifs and transactivates the transcriptional expression of these carbon and nitrogen metabolism genes. With the assistance of OsNAC42 and other unknown Ghd7‐interacting proteins, this complex can regulate different metabolic ...
Guangming Lou, Pingli Chen, Pingbo Li, Haozhou Gao, Jiawang Xiong, Shanshan Wan, Yuanyuan Zheng, Yufu Wang, Mufid Alam, Yingnanjun Chen, Lei Wang, Jingjing Bai, Xuan Tan, Wenting Rao, Bian Wu, Hao Zhou, Yanhua Li, Guanjun Gao, Qinglu Zhang, Jinghua Xiao, Xianghua Li, Xuelei lai, Qifa Zhang, Yuqing He   +23 more
wiley   +1 more source

Variational data assimilation using targetted random walks [PDF]

, 2010
The variational approach to data assimilation is a widely used methodology for both online prediction and for reanalysis (offline hindcasting). In either of these scenarios it can be important to assess uncertainties in the assimilated state.
Cotter, S. L., Dashti, M., Robinson, J. C., Stuart, A. M.   +3 more
core  

On the representation error in data assimilation

, 2018
Representation, representativity, representativeness error, forward interpolation error, forward model error, observation‐operator error, aggregation error and sampling error are all terms used to refer to components of observation error in the context ...
T. Janjić, Niels Bormann, Marc Bocquet, James A. Carton, Stephen E. Cohn, S. Dance, S. Losa, Nancy Nichols, Roland Potthast, Joanne A. Waller, P. Weston   +10 more
semanticscholar   +1 more source

The operational global four‐dimensional variational data assimilation system at the China Meteorological Administration

Quarterly Journal of the Royal Meteorological Society, 2019
Since 1 July 2018, the GRAPES (Global/Regional Assimilation and PrEdiction System) global 4‐dimensional variational (4D‐Var) data assimilation system has been in operation at the China Meteorological Administration (CMA). In this study, the GRAPES global
Lin Zhang, Liu Yongzhu, Y. Liu, Gong Jian-dong, Huijuan Lu, Jin Zhi-yan, Weihong Tian, Gui-li Liu, Bing Zhou, Bingxin Zhao   +9 more
semanticscholar   +1 more source