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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J.P. Gastellu-Etchegorry Y. Wang O. Regaieg T. Yin Z. Malenovsky Z. Zhen X. Yang Z. Tao L. Landier A. Al Bitar Deschamps N. Lauret J. Guilleux E. Chavanon B. Cao J. Qi A. Kallel Z. Mitraka N. Chrysoulakis B. Cook D. Morton Université de Toulouse CESBIO - UPS CNES CNRS IRD Toulouse France Earth System Science Interdisciplinary Center University of Maryland College Park MD USA School of Technology Environments and Design University of Tasmania Hobart Australia College of Geo-Exploration Science and Technology Jilin University Changchun China Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing China Key Laboratory of Geographical Information Science East China Normal University Shanghai China CNES Toulouse France Beijing Forestry University Beijing China CRNS ATMS Sfax Tunisia Foundation for Research and Technology Hellas (FORTH) Heraklion Greece NASA Goddard Space Flight Center Greenbelt MD USA

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

Physical models simulating the radiative budget (RB) and remote sensing (RS) observation of three-dimensional (3D) landscapes are critical to better understand human and natural components of the Earth system and further develop RS technology. DART is one of the most comprehensive 3D models of Earth-atmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3D RB and solar induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (https://***). Here, five recent advances are presented. 1) Atmosphere RT. 2) RT in non repetitive topography. 3) Monte Carlo modelling for fast RS image simulation of large landscapes. 4) SIF modelling for vegetation simulated as facets and turbid cells. 5) RS image inversion for mapping the optical properties of urban material and the urban radiative budget.

关键词： Atmospheric modeling Three-dimensional displays Terrestrial atmosphere Earth Satellites Computational modeling Surface topography

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High Elevation Energy and Water Balance:the Roles of Surface Albedo and Temperature

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Journal of Geodesy and Geoinformation science 2020年第4期3卷 70-78页

作者： Massimo MENENTI Li JIA Marco MANCINI Xin LI Francesca PELLICCIOTTI Kun YANG Jiancheng SHI Maria Jose ESCORIHUELA Chiara CORBARI Shaoting REN Chunfeng MA Chaolei ZHENG Lian LIU Thomas SHAW Baohong DING Wei YANG Delft University of Technology Delft 2600 AAThe Netherlands State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China Politecnico di Milano MilaNO20133Italy Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China Northumbria University Newcastle upon Tyne NE18STUnited Kingdom Department of Earth System Science Tsinghua UniversityBeijing 100084China National Space Science Center Chinese Academy of SciencesBeijing 100190China IsardSAT Barcelona 08001Spain Northwest Institute of Eco-Environment and Resources Chinese Academy of SciencesLanzhou 730000China University of Chile Santiago 8330180Chile

Observation and modeling of the coupled energy and water balance is the key to understand hydrospheric and cryospheric processes at high *** paper summarizes the progress to address this aspect in relation with different earth system elements,from glaciers to *** energy budget of two glaciers,*** Dongkemadi and Parlung No.4,was studied by means of extended field measurements and a distributed model of the coupled energy and mass balance was developed and *** need for accurate characterization of surface albedo was further documented for the entire Qinghai Tibet Plateau by numerical experiments with Weather Research and Forecast(WRF)on the sensitivity of the atmospheric boundary layer to the parameterization of land surface processes.A new approach to the calibration of a coupled distributed watershed model of the energy and water balance was demonstrated by a case study on the Heihe River Basin in northwestern *** assimilation of land surface temperature did lead to the retrieval of critical soil and vegetation properties as the soil permeability and the canopy resistance to the exchange of vapour and carbon *** retrievals of actual Evapo-Transpiration(ET)were generated by the ETMonitor system and evaluated against eddy covariance measurements at sites spread throughout *** regards glacier response to climate variability,the combined findings based on satellite data and model experiments showed that the spatial variability of surface albedo and temperature is significant and controls both glacier mass balance and *** with both atmospheric and hydrosphere-cryosphere models documented the need and advantages of using accurate retrievals of land surface albedo to capture lan-atmosphere interactions at high elevation.

关键词： ice snow albedo energy water balance

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Design of ELF/VLF Chirp-BOK communication based on modulated heating low ionosphere

Design of ELF/VLF Chirp-BOK communication based on modulated...

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作者： Zhou, Kaijie Wang, Huali Cao, Peipei Luo, Zhangkai Institute of Communications Engineering PLA Army Engineering University Nanjing210007 China College of Physics and Electrical Engineering Huaiyin Normal University Huai'an223300 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101400 China

Excitation of Extremely Low Frequency (ELF)/Very Low Frequency (VLF) from ionosphere,which is artificial modulated by High Frequency (HF) waves can provide a way of antenna generation for deep submarine communication. In this paper, based on plasma energy conservation equation, the theoretical model of amplitude modulation HF pump heating low ionosphere for ELF/VLF generation is established. The linear frequency modulation technique of up-chirp and down-chirp have good self-correlation and cross-correlation, by which information can be transmitted by up-chirp and down-chirp. Thus, the linear frequency modulation technique can be applied to the ionosphere ELF/VLF communication. Based on this, a Chirp-BOK (Binary Orthogonal Keying) communication scheme is proposed. Indeed the Chirp-BOK amplitude and power modulation function are designed by combining the linear frequency modulation technique with the square wave amplitude modulation technique. The simulation results show in the condition that the ionosphere is heated by the Chirp-BOK power modulation HF waves, the temperature of ionospheric electronic and the variations of conductivity have obvious frequency modulation characteristics which are the same as that of power modulation, so does the variation of ionospheric current. Thus, when the ionosphere is heated by Chirp-BOK power modulation HF waves, the up-chirp (symbol '0') and down-chirp (symbol '1') ELF/VLF signals can be generated. Copyright © 2018 The Institute of Electronics, Information and Communication Engineers.

关键词： Ionosphere

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Why To Model Remote Sensing Measurements In 3d? Recent Advances In Dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion

Why To Model Remote Sensing Measurements In 3d? Recent Advan...

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International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

作者： J.P. Gastellu-Etchegorry Y. Wang O. Regaieg T. Yin Z. Malenovsky Z. Zhen X. Yang Z. Tao L. Landier A. Al Bitar Deschamps N. Lauret J. Guilleux E. Chavanon B. Cao J. Qi A. Kallel Z. Mitraka N. Chrysoulakis B. Cook D. Morton Université de Toulouse CESBIO - UPS CNES CNRS IRD Toulouse France Earth System Science Interdisciplinary Center University of Maryland College Park MD 20740-3823 USA School of Technology Environments and Design University of Tasmania Hobart Australia College of Geo-Exploration Science and Technology Jilin University Changchun China Chinese Academy of Sciences Institute of Remote Sensing and Digital Earth Beijing China Key Laboratory of Geographical Information Science East China Normal University Shanghai China CNES 18 Av. Belin Toulouse France Beijing Forestry University Beijing China CRNS ATMS Sfax Tunisia Foundation for Research and Technology Hellas (FORTH) Heraklion Greece NASA Goddard Space Flight Center Greenbelt USA

ISBN: (数字)9781728175133

ISBN: (纸本)9781728175140

Remote sensing (RS) dedicated to the study of land surfaces benefits from more and more advanced sensors. However, the interpretation of RS data is often is often inaccurate due to the complexity of the observed land surfaces. Therefore, RS models, in particular physical models, that simulate RS observations of the three-dimensional (3D) landscapes are critical to correctly interpret RS data. DART is one of the most comprehensive 3D models of Earthatmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3D RB and solar-induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (***). After illustrating three significant sources of inaccuracy in RS interpretation, five recent DART advances are presented: RT in the atmosphere and topography, fast RS image simulation of large landscapes, SIF modelling, and satellite image inversion.

关键词： Atmospheric modeling Three-dimensional displays Reflectivity Surface topography Sun Forestry Solid modeling

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Low latency global carbon budget reveals a continuous decline of the land carbon sink during the 2023/24 El Niño event

arXiv

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arXiv 2025年

作者： Ke, Piyu Ciais, Philippe Yao, Yitong Sitch, Stephen Li, Wei Xu, Yidi Du, Xiaomeng Gui, Xiaofan Bastos, Ana Zaehle, Sönke Poulter, Ben Colligan, Thomas van der Woude, Auke M. Peters, Wouter Liu, Zhu Jin, Zhe Tian, Xiangjun Wang, Yilong Liu, Junjie Pandey, Sudhanshu O’Dell, Chris Bian, Jiang Zhou, Chuanlong Miller, John Lan, Xin O’Sullivan, Michael Friedlingstein, Pierre van der Werf, Guido R. Peters, Glen P. Piao, Shilong Chevallier, Frédéric Department of Earth System Science Tsinghua University Beijing100084 China Faculty of Environment Science and Economy University of Exeter ExeterEX4 4QF United Kingdom Laboratoire des Sciences du Climat et de l'Environnement University Paris Saclay CEA CNRS Gif sur Yvette91191 France Department of Earth and Environmental Engineering Columbia University New York10027 United States Machine learning group Microsoft research Beijing100080 China Institute for Earth System Science and Remote Sensing Leipzig University Leipzig04103 Germany Department of Biogeochemical Integration Max Planck Institute for Biogeochemistry Jena07745 Germany Earth Sciences Division NASA Goddard Space Flight Center GreenbeltMD20771 United States Earth System Science Interdisciplinary Center University of Maryland College ParkMD20740 United States Environmental Sciences Group Dept of Meteorology and Air Quality Wageningen University Wageningen6708 PB Netherlands Institute of Carbon Neutrality Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing100871 China Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing100101 China Jet Propulsion Laboratory California Institute of Technology PasadenaCA91011 United States Cooperative Institute for Research in the Atmosphere Colorado State University Fort CollinsCO80523 United States National Oceanic and Atmospheric Administration Global Monitoring Laboratory CO80303 United States Cooperative Institute for Research in Environmental Sciences University of Colorado BoulderCO80303 United States Laboratoire de Météorologie Dynamique IPSL CNRS ENS Université PSL Sorbonne Université École Polytechnique Paris75005 France CICERO Center for International Climate Research Oslo0349 Norway

The high growth rate of atmospheric CO2 in 2023 was found to be caused by a severe reduction of the global net land carbon sink. Here we update the global CO2 budget from January 1st to July 1st 2024, during which El Niño drought conditions continued to prevail in the Tropics but ceased by March 2024. We used three dynamic global vegetation models (DGVMs), machine learning emulators of ocean models, three atmospheric inversions driven by observations from the second Orbiting Carbon Observatory (OCO-2) satellite, and near-real-time fossil CO2 emissions estimates. In a one-year period from July 2023 to July 2024 covering the El Niño 2023/24 event, we found a record-high CO2 growth rate of 3.66 ± 0.09 ppm yr-1 (± 1 standard deviation) since 1979. Yet, the CO2 growth rate anomaly obtained after removing the long term trend is 1.1 ppm yr-1, which is marginally smaller than the July-July growth rate anomalies of the two major previous El Niño events in 1997/98 and 2015/16. The atmospheric CO2 growth rate anomaly was primarily driven by a 2.24 GtC yr-1 reduction in the net land sink including 0.3 GtC yr-1 of fire emissions, partly offset by a 0.38 GtC yr-1 increase in the ocean sink relative to the 2015–2022 July-July mean. The tropics accounted for 97.5% of the land CO2 flux anomaly, led by the Amazon (50.6%), central Africa (34%), and Southeast Asia (8.2%), with extra-tropical sources in South Africa and southern Brazil during April–July 2024. Our three DGVMs suggest greater tropical CO2 losses in 2023/2024 than during the two previous large El Niño in 1997/98 and 2015/16, whereas inversions indicate losses more comparable to 2015/16. Overall, this update of the low latency budget highlights the impact of recent El Niño droughts in explaining the high CO2 growth rate until July 2024. © 2025, CC BY.

关键词： Budget control

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Research of multi-Agent cognition and decision 17

Research of multi-Agent cognition and decision

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2017 International Conference on E-Commerce, E-Business and E-Government, ICEEG 2017

作者： Liu, Dong Yan, Xuefei Li, Xinming Wang, Shoubiao Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Beijing China

ISBN: (纸本)9781450352482

Reinforcement Learning(RL) is the main cognition and decision method of Agent since its adaptation and exploration ability to the unknown environment, but it cannot ensure the convergence for the multi-Agent situation since the transition of the state space is not only influenced by the Agent itself but also influenced by the other Agent's action, so the other Agent's action has to be taken into account. In consideration of the deep theory foundation and advantages to deal with the other player's policy, this paper think that combination of the games theory and multi-Agent is a breakthrough for the cognition and decision in the status of the multi-Agent Learning. Based on the introduction of the traditional decision technology, the learning technology and the typical algorithm framework of the multi-Agent reinforcement learning with the games theory, some related algorithms such as MinMax-Q, nash-Q, FF-Q, CE-Q and Nego-Q were presented and analyzed. © 2017 Association for Computing Machinery.

关键词： Reinforcement learning

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GLOBAL CLIMATE

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Bulletin of the American Meteorological Society 2024年第8期105卷 S12-S155页

作者： Dunn, R.J.H. Blannin, J. Gobron, N. Miller, J.B. Willett, K.M. Met Office Hadley Centre Exeter United Kingdom European Commission Joint Research Centre Ispra Italy NOAA Global Monitoring Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland European Centre for Medium-Range Weather Forecasts Bonn Germany Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Hampton University Hampton Virginia National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Laboratoire des Sciences du Climat et de l’Environnement (LSCE) LSCE/IPSL CEA-CNRS-UVSQ Gif-sur-Yvette France Instituto de Geografía Pontificia Universidad Católica de Valparaíso Valparaíso Chile Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia University of Reading Reading United Kingdom Institute Pierre Simon Laplace (IPSL) Guyancourt France School of Engineering Newcastle University Newcastle-upon-Tyne United Kingdom Université Paris Cité Institut de physique du globe de Paris CNRS IGN F-75005 Paris France Univ Gustave Eiffel ENSG IGN F-77455 Marne-la-Vallée France Laboratoire EDYTEM CNRS/Université Savoie Mont-Blanc Le Bourget-du-Lac France Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt Maryland Universität Hamburg Hamburg Germany Climate Dynamics Lab University of St Andrews St Andrews United Kingdom Ea

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Formation Control for High-Order Multi-agent systems with Unknown Dynamics

Formation Control for High-Order Multi-agent Systems with Un...

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IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)

作者： Qing Wang Yu’ang Liu Chaoyang Dong Min Zhou Kewei Zhong School of Automation Science and Electrical Engineering Beihang University Beijing People’s Republic of China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing People’s Republic of China Shanghai Aerospace Control Technology Institute Shanghai People’s Republic of China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

A novel formation control approach is provided for a class of high-order multi-agent systems (MASs) subject to unknown dynamics via active disturbance rejection control (ADRC). First, the formation control problem is converted into the stability problem under the connected topology structure assumption. Then, the unknown dynamics is observed by the designed extended state observer (ESO) and compensated realtime. It is shown that the predefined time-varying formation function is achieved rapidly and stably under the distributed controller using only local neighbor information for each agent. Finally, numerical examples are presented to demonstrate the effectiveness of the theoretical results.

关键词： Aerodynamics Protocols Uncertainty Observers Nonlinear dynamical systems Multi-agent systems

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Sub-Rayleigh imaging via undersampling scanning based on sparsity constraints

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Chinese Physics B 2017年第2期26卷 218-222页

作者： Chang-Bin Xue Xu-Ri Yao Wen-Kai Yu Xiao-Yong Guo Long-Zhen Li Xue-Feng Liu Guang-Jie Zhai Qing Zhao School of Physics Beijing Institute of Technology Beijing 100081 China Key Laboratory of Electronics and Information Technology for Space System National Space Science Center Chinese Academy of Sciences Beijing 100190 China

We demonstrate that, by undersampling scanning object with a reconstruction algorithm related to compressed sensing, an image with the resolution exceeding the finest resolution defined by the numerical aperture of the system can be obtained. Experimental results show that the measurements needed to achieve sub-Rayleigh resolution enhancement can be less than 10% of the pixels of the object. This method offers a general approach applicable to point-by-point illumination super-resolution techniques.

关键词： super-resolution image reconstruction techniques

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Anti-windup smooth switching controller design of morphing aircraft

Anti-windup smooth switching controller design of morphing a...

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IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)

作者： Chaoyang Dong Wenqiang Zhang Qing Wang Chen Liu Min Zhou Kewei Zhong School of Aeronautic Science and Engineering Beihang University Beijing China School of Automatic Science and Electrical Engineering Beihang University Beijing China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing People's Republic of China Shanghai Aerospace Control Technology Institute Shanghai People's Republic of China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

Considering the attitude-stabilization during the transformation process of morphing aircraft with the effect of large scale change of system dynamic and constrained actuator output amplitude, based on mode-dependent average dwell time approach, a design methodology of anti-windup smooth switching controller is proposed. First, a class of chained smooth switching system model is established, which can reflect aerodynamic coefficient transition of morphing aircraft in the transformation process more precisely and reduce conservatism of controller design. Based on the model, the sufficient condition to ensure the finite-time boundedness and robustness of chained smooth switching system can be obtained via the mode-dependent average dwell time approach. Finally, design of anti-windup compensation is proposed. Also, the problem of anti-windup controller design is translated to problem of optimization with linear matrix inequalities constraint. Finally, simulation results are given to demonstrate the efficiency of the proposed controller design approach.

关键词： Aircraft Switches Aerodynamics Aerospace control Atmospheric modeling Switching systems

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