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OCO-2 Publications

Graph illustrating OCO-2 Science Publications between 2014 - September 15, 2026 based on postings from https://ocov2.jpl.nasa.gov/science/publications/ website

OCO-2 Publications between 2014 - September 15, 2026. See More >>

The following list compiles publications resulting from the OCO-2 mission, covering a wide range of topics, including spectroscopy, calibration, retrieval algorithm development, uncertainty quantification, top-down atmospheric inversion methodologies, solar-induced chlorophyll fluorescence, carbon-climate interactions, point source and urban emission quantification, and various scientific and real-world applications. These publications either describe or utilize data products derived from the OCO-2 mission. Those data products include Level 1B (radiance) to Level 4 produced by both the project team and the broader scientific community. If you have any questions, please contact our Science Team Lead, Junjie Liu.


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2025
Pan, M., X. Lin, Z. Xiao, F. Wang, L. Guo, C. Wang, J. Xie, and J. Fang
Improving terrestrial solar-induced chlorophyll fluorescence (SIF) reconstruction through multi-satellite-derived SIF integration: a comparative study in regional scale International Journal of Remote Sensing, 46, 19, 7147-7172
Zhang, Q., J. Dong, Z. Xu, W. Nam, J. Yang, Y. Zhang, Y. Qin, S. Gao, S. Huang, H. Tian, Q. Yu, and Q. Ge
Energy shortages undermine agricultural drought resistance in the Democratic People’s Republic of Korea Nature Food, 6, 10, 936-941
Chen, R., M. Zou, C. Chen, H. Xie, C. Zhou, H. Mao, and Z. Wang
A Multigranularity Spatiotemporal Attention Model Based on Multisource Satellite Data for Monthly XCO 2 Reconstruction Over China IEEE Trans. Geosci. Remote Sensing, 63, 1-15
Zhou, M., Y. Wang, M. Duan, X. Tian, J. Ding, J. Bi, Y. Ma, W. Ma, and Z. Xi
Greenhouse gas measurement campaign of the Earth Summit Mission-2022: ground-based in situ and FTIR observations and contribution to satellite validation in the Qomolangma region Atmos. Meas. Tech., 18, 17, 4311-4324
Gadhavi, H., A. Arora, C. Jain, M. K. Sha, F. Hase, M. Frey, S. Ramachandran, and A. Jayaraman
Validation and assessment of satellite-based columnar CO 2 and CH 4 mixing ratios from GOSAT and OCO-2 satellites over India Atmos. Meas. Tech., 18, 17, 4497-4514
Zhang, Y., and A. Rigden
Cascading Spatial Scales in the Hydrological Cycle Over Africa Geophys. Res. Lett., 52, 16
Friedlingstein, P., M. O'Sullivan, M. Jones, R. Andrew, D. Bakker, J. Hauck, P. Landschützer, C. Le Quéré, H. Li, I. Luijkx, G. Peters, W. Peters, J. Pongratz, C. Schwingshackl, S. Sitch, J. Canadell, P. Ciais, K. Aas, S. Alin, P. Anthoni, L. Barbero, N. Bates, N. Bellouin, A. Benoit-Cattin, C. Berghoff, R. Bernardello, L. Bopp, I. Brasika, M. Chamberlain, N. Chandra, F. Chevallier, L. Chini, N. Collier, T. Colligan, M. Cronin, L. Djeutchouang, X. Dou, M. Enright, K. Enyo, M. Erb, W. Evans, R. Feely, L. Feng, D. Ford, A. Foster, F. Fransner, T. Gasser, M. Gehlen, T. Gkritzalis, J. Goncalves De Souza, G. Grassi, L. Gregor, N. Gruber, B. Guenet, Ö. Gürses, K. Harrington, I. Harris, J. Heinke, G. Hurtt, Y. Iida, T. Ilyina, A. Ito, A. R. Jacobson, A. Jain, T. Jarníková, A. Jersild, F. Jiang, S. Jones, E. Kato, R. Keeling, K. Klein Goldewijk, J. Knauer, Y. Kong, J. Korsbakken, C. Koven, T. Kunimitsu, X. Lan, J. Liu, Z. Liu, Z. Liu, C. Lo Monaco, L. Ma, G. Marland, P. C. McGuire, G. McKinley, J. R. Melton, N. Monacci, E. Monier, E. Morgan, D. Munro, J. Müller, S. Nakaoka, L. Nayagam, Y. Niwa, T. Nutzel, A. Olsen, A. Omar, N. Pan, S. Pandey, D. Pierrot, Z. Qin, P. Regnier, G. Rehder, L. Resplandy, A. Roobaert, T. Rosan, C. Rödenbeck, J. Schwinger, I. Skjelvan, T. Luke Smallman, V. Spada, M. G. Sreeush, Q. Sun, A. Sutton, C. Sweeney, D. Swingedouw, R. Séférian, S. Takao, H. Tatebe, H. Tian, X. Tian, B. Tilbrook, H. Tsujino, F. Tubiello, E. van Ooijen, G. van der Werf, S. van de Velde, A. Walker, R. Wanninkhof, X. Yang, W. Yuan, X. Yue, and J. Zeng
Global Carbon Budget 2025 Earth System Science Data, 18, 3211-3288
Singha Roy, E., S. Philip, M. C. Johnson, D. Baker, J. Liu, S. Basu, F. Chevallier, F. Jiang, X. Li, Z. Liu, S. M. Miller, J. Xiao, and N. Zeng
Gross primary production variations dominate the response of Indian terrestrial carbon fluxes to global climatic phenomena Nature Communications Earth and Environment
Parazoo, N., and B. Fuchs
Solar Induced Fluorescence as an Application Ready Early Warning Indicator of Flash Drought Geophys. Res. Lett., 52, 23
Wang, X., Z. Guo, K. Zhang, Z. Fu, C. Lee, D. Yang, M. Detto, Y. Zhang, and J. Wu
Can Large‐Scale Satellite Products Track the Effects of Atmospheric Dryness and Soil Water Deficit on Ecosystem Productivity Under Droughts? J. Geophys. Res., 52, 8
Lee, J., S. Jeong, Y. Kim, S. Roh, J. Kim, and H. Jin
Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Geophys. Res. Atmos., 130, 16
Li, D., J. Chen, G. Duveiller, C. Frankenberg, P. Köhler, and K. Yu
A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks Remote Sensing of Environment, 330, 114987
Yadav, B., L. Sharma, and B. Bijarniya
Predicting Forest Evapotranspiration using Remote Sensing and Machine Learning The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-G-2025, 1611-1619
Liu, Z., H. Lin, H. Li, M. Li, P. Zhou, Z. Wang, and J. Niu
Response Mechanisms of Vegetation Productivity to Water Variability in Arid and Semi-Arid Areas of China: A Decoupling Analysis of Soil Moisture and Precipitation Atmosphere, 16, 8, 933
B. Konovalov, I., N. A. Golovushkin, and E. A. Mareev
Characterization of the Regional Carbon Balance Based on Satellite Observations of Carbon Dioxide Atmosphere and Hydrosphere Physics, 523, 2
Mo, H., P. Wang, G. He, H. Tao, L. Tang, and G. Cai
Real-time monitoring of daily carbon emissions and electricity generation from fossil fuel power plants using geostationary satellite band data and deep learning techniques Energy, 334, 137570
Mustafa, F., and M. Xu
Estimating global anthropogenic carbon dioxide emissions using satellite observations and machine learning methods Atmospheric Environment, 360, 121423
Kukkurainen, A., A. Lipponen, N. Sabater, A. Arola, and V. Kolehmainen
Simulation Study on Improving Spectrally Resolved Solar-Induced Fluorescence Satellite Retrievals Under Uncertain Atmospheric States IEEE Trans. Geosci. Remote Sensing, 63, 1-9
Xiang, C., R. Li, A. Liang, and J. Wang
Analysis of air pollutants concentration variations and human impact by remote sensing: Implications for sustainable urban air quality management Sustainable Futures, 10, 101019
Liu, J., X. Zhang, X. Deng, and H. Wang
Enhancing CYGNSS Soil Moisture Retrieval Accuracy by Considering the Lag Effect of Sun-Induced Fluorescence IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 18, 19840-19852
Mastrogiacomo, J., M. Crippa, C. MacDonald, C. Roehl, and D. Wunch
Estimating Urban CH4 ${\text{CH}}_{4}$ Emissions From Satellite‐Derived Enhancement Ratios of CH4 ${\text{CH}}_{4}$, CO2 ${\text{CO}}_{2}$, and CO JGR: Atmospheres, 130, 13
Jin, J., Y. Huang, C. Wei, X. Wang, X. Xu, Q. Gu, and M. Wang
Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem Atmosphere, 16, 7, 847
Li, T., B. Fu, Y. Lü, Y. Ran, C. Du, Z. Zhao, C. Sun, H. Wang, B. Huang, and X. Wu
The thickening of the active layer will negate the promoting effect on vegetation productivity in permafrost regions Environmental Research Letters, 20, 5, 054042
Shao, W., C. Wu, T. Yue, N. Zhao, and Y. Hu
Prediction of Gross Primary Productivity Change in Central Asia Under Climate Change Using Deep Learning IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 18, 11031-11046
Jiang, B., W. Chen, S. Li, B. Hua, T. Sakai, R. Singh, and C. Wu
Complex interactions of 'water-light-heat' climatic conditions on spring phenology in the mid-high latitudes of the Northern Hemisphere Agricultural and Forest Meteorology, 367, 110520
Xu, X., X. Wang, J. Xiao, S. Zhang, Y. Yang, X. Li, T. Sha, and Z. Li
Inconsistencies in global soil moisture products and discrepancies in their relationship with vegetation productivity Journal of Hydrology, 659, 133298
Gao, S., P. Nagler, W. Woodgate, A. Huete, and T. Doody
Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements Journal of Hydrology, 660, 133404
Han, D., P. Wang, Y. Li, Y. Zhang, and J. Guo
Mapping the Main Phenological Spatiotemporal Changes of Summer Maize in the Huang-Huai-Hai Region Based on Multiple Remote Sensing Indices Agronomy, 15, 5, 1182
Kashyap, R., J. Kuttippurath, and V. Patel
Agriculture intensification and moisture-induced Thar desert greening: implications for energy balance, socio-economy, and biodiversity GIScience & Remote Sensing, 62, 1
Zhang, M., X. Yuan, Z. Zeng, M. Pan, P. Wu, J. Xiao, and T. F. Keenan
A pronounced decline in northern vegetation resistance to flash droughts from 2001 to 2022 Nat Commun, 16, 1
Huang, X., H. Yang, S. Qiao, Y. Yao, L. Cui, H. Fan, Q. Lv, Y. Qiao, and G. Feng
Spatiotemporal estimation of near-surface CO 2 concentrations over the global continent based on hybrid machine learning model Annals of GIS, 31, 2, 191-206
Zhou, S., and J. Guo
Mixed evergreen and deciduous forests boost local climate resilience, nutrient dynamics, and photosynthetic performance assessed by remote sensing Forest Ecology and Management, 586, 122677
Bao, D., Z. Ma, L. Zhong, J. Yan, Y. Li, and L. Sun
Graph attention network-based multi-source data fusion for atmospheric CO 2 concentrations estimation International Journal of Digital Earth, 18, 1
Fan, L., T. Kato, T. Miyauchi, K. Buareal, T. Morozumi, and K. Ono
Data Assimilation of Solar‐Induced Chlorophyll Fluorescence Improves Gross Primary Production Simulation by a Process‐Based VISIT‐SIF Model in a Rice Paddy JGR Biogeosciences, 130, 5
Alagade, A., and M. Sahu
Satellite-based assessment and forecasting of greenhouse gas (GHG) concentrations in Indian megacities using advanced statistical methods Environmental Science and Pollution Research, 32, 24, 15006-15024
Chevallier, F., A. Martinez, Z. Lloret, S. Takache, and A. Cozic
Offline Atmospheric Transport on a Global Mesh of Hexagons J. Geophys. Res. Atmos., 130, 11
Lian, X., Y. Li, J. Liu, K. Kornhuber, and P. Gentine
Northern ecosystem productivity reduced by Rossby-wave-driven hot–dry conditions Nature Geosci, 18, 7, 615-623
Hu, Z., I. Wright, P. Reich, A. Knapp, G. Ye, H. Wang, J. Chave, X. Zeng, G. Yang, L. Dai, and G. Yu
Towards unifying precipitation-vegetation productivity relationships in terrestrial ecosystems Fundamental Research
Svoboda, M., O. Kira, Y. Sun, W. K. Smith, T. Magney, J. D. Wood, and N. Parazoo
Monitoring the Pulse of America's Natural Resources From the Orbiting Carbon Observatory Missions AGU Advances, 6, 5
Pandey, S.
Taking Earth's Carbon Pulse From Space AGU Advances, 6, 5
Hu, C., H. Liu, Y. Zhang, Y. Cui, F. Sun, X. Shi, J. Zhang, Y. Yang, L. Zhang, B. Qi, Q. Xiao, N. Hu, T. J. Griffis, and W. Xiao
Observed CO2 concentration reveals steep decrease of anthropogenic emissions in winters of 2021 and 2022 in Hangzhou and Yangtze River Delta region, China Science of The Total Environment, 974, 178884
Zhang, Y., W. Ma, N. Wang, L. Zhao, Q. Hu, S. Lei, and H. Li
Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach GIScience & Remote Sensing, 62, 1
Chalmers, C., Y. Zhang, J. Xiao, X. Li, and A. Rigden
Defining the agricultural wet season over Africa using satellite soil moisture Geophys. Res. Lett., 52, 18, e2025GL118236
Teng, Y., H. Zhang, Y. Zhan, X. Liu, Z. Chang, Y. Chen, and H. Liu
Dynamic correlation analysis of sectoral electricity consumption and urban carbon concentration using machine learning models Scientific Reports, 15, 1
Manzoor, A., N. Habib, and S. Abbas
Performance of NDVI and GOSIF in monitoring vegetation responses to rainfall in a desert ecosystem Remote Sensing Applications: Society and Environment, 39, 101621
Han, L., Y. Chen, C. Wu, L. Yao, Y. Wang, C. Su, X. Li, A. da Rosa Ferraz Jardim, T. Freire da Silva, and X. Tang
Divergent drought-induced suppression on vegetation and associated feedbacks: Satellite-based observations in 2022 across the Yangtze River basin, China Journal of Hydrology, 661, 133673
Zhang, J., X. Hao, Y. Liu, X. Li, Q. Liang, F. Sun, M. Ci, and Y. Li
Vegetation greening does not significantly enhance ecosystem resilience in the Northern Hemisphere Ecological Indicators, 177, 113762
Zhang, W., Q. Guo, G. Wu, K. Manevski, and S. Li
Long-Term Impact of Extreme Weather Events on Grassland Growing Season Length on the Mongolian Plateau Remote Sensing, 17, 9, 1560
Ding, J., H. Liu, K. Zhang, and L. Li
A Method to Weaken Cloud Interference in Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction by Using Satellite VOD Observations IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 18, 14535-14544
Miao, L., Z. Yu, X. Zhu, E. Agathokleous, G. Bao, P. Iqbal, and Q. Liu
Grassland growth response to drought in dryland Inner Mongolia: insights from a two-decade analysis Environmental Research Letters, 20, 7, 074038
Zhao, D., Z. Zhang, and Y. Zhang
Large-scale diurnal responses of solar-induced chlorophyll fluorescence (SIF) to varying heat and water stresses: Implications for monitoring SIF variations from satellite observations Remote Sensing of Environment, 324, 114748
Marchetti, C., J. Hobbs, P. Somkuti, and J. Laughner
A Study on Inferring Daytime Variations of XCO2 ${\text{XCO}}_{2}$ From Current and Future Space‐Based Missions Earth and Space Science, 12, 8
He, S., Y. Yuan, H. Dong, Y. Geng, T. Xiong, and F. Guo
Tracking drought in dryland vegetation through the photosynthetic afternoon depression index of Sun-induced chlorophyll fluorescence Agricultural and Forest Meteorology, 374, 110799
Zhang, L., X. Cao, H. Yan, L. Chen, P. Zhang, X. Zhang, P. Gao, and G. Liu
Does the Satellite Sensing Column-Averaged Dry-Air Mole Fraction CO2 (XCO2) Require Oxygen Concentration From O2–A Band for Normalizing? IEEE Trans. Geosci. Remote Sensing, 63, 1-13
Liu, X., K. Zhou, and Q. Zhang
Using solar-induced chlorophyll fluorescence to estimate forest evapotranspiration Journal of Hydrology, 661, 133595
Fontellas Laurito, H., T. Gomes da Silva, N. La Scala, and G. de Souza Rolim
Extracting XCO2-NASA data with XCODEX: a Python package designed for data extraction and structuration Environmental Monitoring and Assessment, 197, 7
Chang, W., D. Yang, X. Tang, and L. Kong
Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown Adv. Atmos. Sci., 42, 8, 1566-1579
Cai, S., H. Dong, B. Zhang, and H. Huang
Estimation of High Spatial Resolution CO2 Concentration in China from 2010 to 2022 Based on Multi-Source Carbon Satellite Data Atmosphere, 16, 5, 621
Li, M., R. Chu, X. Sha, and A. Islam
Response of Solar-Induced Chlorophyll Fluorescence to Gross Primary Productivity, Evapotranspiration, and Transpiration Under Aridity Gradients of China IEEE Explore, 18, 13583-13601
Chen, J., H. Yang, C. Zhong, T. Jin, Z. Zhang, Z. Hu, and K. Wu
Characterizing seasonal lag relationship between leaf area index and solar-induced chlorophyll fluorescence in China Agricultural and Forest Meteorology, 371, 110630
Zhang, Y., J. Gao, D. Zhang, T. Liang, Z. Wang, X. Zhang, Z. Ma, and J. Yang
Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data Plant Methods, 21, 1
R. Nelson, R., S. S. Kulawik, C. W. O’Dell, J. McDuffie, and A. Eldering
Improving OCO‐2 XCO2 Retrievals Through the Scaling of Singular Value Decomposition‐Based Temperature and Water Vapor Profiles Earth and Space Science, 12, 5
Das, S., M. Kiel, J. Laughner, G. Osterman, C. O’Dell, T. Taylor, B. Fisher, F. Chevallier, N. Deutscher, M. Dubey, D. G. Feist, O. Garcia, D. Griffith, F. Hase, L. Iraci, R. Kivi, I. Morino, J. Notholt, H. Ohyama, D. Pollard, S. Roche, C. Roehl, C. Rousogenous, M. K. Sha, K. Shiomi, K. Strong, R. Sussmann, Y. Té, G. Toon, M. Vrekoussis, P. Wang, T. Warneke, P. Wennberg, A. Chatterjee, V. H. Payne, and D. Wunch
Comparisons of the v11.1 Orbiting Carbon Observatory‐2 (OCO‐2) XCO2 Measurements With GGG2020 TCCON Earth and Space Science, 12, 7
Umuhoza, J., G. Jiapaer, Y. Tao, J. Bai, E. Hakorimana, L. Zhang, H. Liang, K. Lin, and T. Ju
Impacts of climate extremes on vegetation health in the tropical savannas of Africa Global Ecology and Conservation, 61, e03649
Liao, J., Y. Xu, J. Pi, Y. Li, C. Ke, W. Zhan, and J. Chen
Widespread Sensitivity of Vegetation to the Transition From Normal Droughts to Flash Droughts Geophys. Res. Lett., 52, 6
Zhang, Y., Z. Yu, J. Luan, Y. Wang, X. Ye, and S. Liu
Hot temperature extremes and vapor pressure deficits co-explain changes in the timing of peak photosynthetic activity in the forest belt of northeast China Journal of Forestry Research, 36, 1
Gu, X., L. Zhou, Q. Liang, E. Xu, and Y. Chi
Biome‐Specific Responses of GOSIF Gross Primary Productivity to Wildfires in South America JGR Biogeosciences, 130, 7, e2025JG008986
Jacobson, J., M. Bertolacci, A. Zammit-Mangion, A. Schuh, and N. Cressie
WOMBAT v2.S: A Bayesian inversion framework for attributing global CO2 flux components from multiprocess data Environmetrics, 36, 8, e70052
Dai, L., M. Liang, A. Chen, G. Yang, C. Jin, W. Yuan, and Z. Hu
Increased Asymmetry of Ecosystem Productivity Responses to Precipitation in Recent Two Decades Geophys. Res. Lett., 52, 6
Bai, W., H. Wang, J. Xiao, X. Li, and Q. Ge
Impacts of meteorological drought on peak vegetation productivity of grasslands from perspectives of canopy structure and leaf physiology International Journal of Biometeorology, 69, 5, 1085-1100
Fang, J., X. Lian, Y. Ryu, S. Jeong, C. Jiang, and P. Gentine
A long-term reconstruction of a global photosynthesis proxy over 1982–2023 Scientific Data, 12, 1
Luo, Z., T. He, Z. Lv, J. Zhao, Z. Zhang, Y. Wang, W. Yi, S. Lu, K. He, and H. Liu
Insights into transportation CO2 emissions with big data and artificial intelligence Patterns, 6, 4, 101186
Jiang, B., W. Chen, S. Chen, X. Wang, and S. Li
Comparison of the capability and performance of “photosynthesis” and “structure” indices in retrieving vegetation phenology in the Northern Hemisphere GIScience & Remote Sensing, 62, 1
Afrianto, F., A. Salsabillah, and A. Hariyanto
Big Data and Satellite Imagery for Energy Efficiency Mapping in Indonesia: Indonesian Journal of Energy, 8, 1, 37-61
Ren, J., J. Xiao, J. Ma, and P. He
Quantitative assessment of the potential benefits of global afforestation on ecosystem productivity Environmental Research Letters, 20, 3, 034055
Liu, Z., Y. Fu, D. Chen, T. Crowther, R. Ding, F. Hao, Y. Vitasse, X. Zhang, S. Zhou, and C. Zohner
Increased early-season productivity drives earlier peak of vegetation photosynthesis across the Northern Hemisphere Communications Earth & Environment, 6, 1
Yun, J., J. Liu, D. Baker, S. Basu, F. Chevallier, F. Jiang, M. C. Johnson, X. Li, Z. Liu, S. M. Miller, S. Philip, S. Vardag, J. Xiao, and N. Zeng
Interannual variability in African regional ecosystem carbon fluxes and their drivers revealed by satellite observations Global Biogeochem. Cycles, 39, 7, e2025GB008597
Zhao, F., W. Shi, J. Xiao, M. Zhao, X. Li, and Y. Wu
Recent weakening of carbon-water coupling in northern ecosystems npj Climate and Atmospheric Science, 8, 1
Chen, Y., K. Sebastian Schmidt, H. Chen, S. T. Massie, S. Kulawik, and H. Iwabuchi
Mitigation of satellite OCO-2 CO2 biases in the vicinity of clouds with 3D calculations using the Education and Research 3D Radiative Transfer Toolbox (EaR3T) Atmos. Meas. Tech., 18, 8, 1859-1884
Fan, D., T. Cheng, H. Zhu, X. Ye, T. Tang, H. Tong, X. Li, and L. Zhang
Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space Environmental Science & Technology, 59, 22, 10919-10928
Gandham, H., H. Dasari, R. Kunchala, R. Karumuri, A. Karumuri, A. G. Prajeesh, M. Venkatraman, M. Saharwardi, and I. Hoteit
Atmospheric carbon dioxide over the Arabian Peninsula: Variability and associated sources Atmospheric Environment, 358, 121316
Qu, W., L. Hu, J. Peñuelas, X. Liang, Y. Li, W. He, and C. Wu
Non-uniform climatic responses of land surface phenology derived from optical-, fluorescence-, and microwave-based satellite observations Remote Sensing of Environment, 325, 114793
Wang, R., X. Qin, Z. P. Du, Y. Liu, Q. Zhao, Z. Jin, and D. Qiang
Improving terrestrial evapotranspiration estimation using physics-guided machine learning model driven by solar-induced chlorophyll fluorescence Journal of Hydrology, 661, 133468
Hakkarainen, J., I. Ialongo, T. Oda, and D. Crisp
A Robust Method for Calculating Carbon Dioxide Emissions From Cities and Power Stations Using OCO‐2 and S5P/TROPOMI Observations JGR: Atmospheres, 130, 9
Feng, L., P. Palmer, L. Smallman, J. Xiao, P. Cristofanelli, O. Hermansen, J. Lee, C. Labuschagne, S. Montaguti, S. M. Noe, S. Platt, X. Ren, M. Steinbacher, and I. Xueref-Remy
The role of the tropical carbon balance in determining the large atmospheric CO2 growth rate in 2023 Atmos. Chem. Phys., 25, 20, 13053-13076
A, Y., Z. Bao, S. Tong, Y. Bao, S. Dalantai, B. Natsagdorj, and X. Fan
Spatiotemporal Characteristic of XCO2 and Its Changing Contribution Rate from Different Influencing Indicators in Mongolian Plateau of Central Asia Atmosphere, 16, 5, 560
Roten, D., and A. Chatterjee
Coverage‐Limiting Factors Affecting the Monitoring of Urban Emissions With the Orbiting Carbon Observatory Missions AGU Advances, 6, 3
Xu, Y., M. Li, Z. Jia, Y. Gong, X. Li, and Y. Fu
Incorporating Drought Thresholds Improves Model Predictions of Autumn Phenology in Tropical and Subtropical Forests Glob Change Biol, 31, 4
Wang, M., Y. Wang, X. Liu, W. Hou, J. Wang, S. Li, L. Zhao, and Z. Hu
Vapor pressure deficit dominates vegetation productivity during compound drought and heatwave events in China's arid and semi-arid regions: Evidence from multiple vegetation parameters Ecological Informatics, 88, 103144
Yang, Y., J. Yin, L. Slater, P. Liu, L. Zhang, and Y. Zhang
Global vegetation dynamics under decreased terrestrial water storage: Insights into water stress response Agricultural and Forest Meteorology, 368, 110549
Li, Y., J. Yan, L. Zhong, D. Bao, L. Sun, and G. Li
Full-Coverage Mapping of Daily High-Resolution XCO2 across China from 2015 to 2020 by Deep Learning-Based Spatio-Temporal Fusion IEEE Trans. Geosci. Remote Sensing, 1-1
Wenyu, Y., and B. Qiang
Global-scale improvement of terrestrial gross primary productivity estimation by integrating optical remote sensing with meteorological data Ecological Indicators, 173, 113429
Poulter, B., G. Murray‐Tortarolo, D. J. Hayes, P. Ciais, R. Andrew, A. Bastos, B. Byrne, D. Butman, J. Canadell, A. Chatterjee, G. Domke, A. Feldman, K. Foster, N. Hunka, R. Jackson, W. Kurz, A. Lindquist, M. Liu, I. Luijkx, A. Mialon, A. M. Michalak, J. Miller, W. Obermeier, N. Pan, J. Randerson, P. Raymond, P. Regnier, L. Resplandy, G. Rocher‐Ros, N. Rodriquez‐Fernandez, J. Rosentreter, J. Salazar‐Neira, S. Tank, H. Tian, R. Vargas, Y. Villalobos, J. Wang, X. Wei, K. Wickland, C. Williams, L. Windham‐Myers, C. Woodall, Q. Ying, and Z. Zhang
The North American Greenhouse Gas Budget: Emissions, Removals, and Integration for CO2, CH4, and N2O (2010–2019): Results From the Second REgional Carbon Cycle Assessment and Processes Study (RECCAP2) Global Biogeochem. Cycles, 39, 4
Longo, M., M. Keller, L. Kueppers, K. Bowman, O. Csillik, A. Ferraz, P. Moorcroft, J. Ometto, B. Soares-Filho, X. Xu, M. de Assis, E. Görgens, E. Larson, J. Needham, E. Ordway, F. Pereira, E. Rangel Pinagé, L. Sato, L. Xu, and S. Saatchi
Degradation and deforestation increase the sensitivity of the Amazon Forest to climate extremes Environmental Research Letters, 20, 5, 054024
Kurniawan, R., S. Kautsar, R. Wahyuni, P. Gio, S. Wongsonadi, M. Zubaidi, and F. Andayani
Assessing economic and social determinants of carbon emissions towards sustainable development in West Java, Indonesia Carbon Research, 4, 1
Mustafa, F., and M. Xu
Improving Model-Based Carbon Dioxide Datasets Using Deep Learning and Satellite Observations IEEE Trans. Geosci. Remote Sensing, 63, 1-14
Tan, X., Q. Zhao, Y. Liu, and X. Zhang
DroughtSet: Understanding Drought Through Spatial-Temporal Learning Proceedings of the AAAI Conference on Artificial Intelligence, 39, 27, 28440-28448
Zhu, L., P. Ciais, Y. Yao, D. S. Goll, S. Luyssaert, I. Martínez Cano, A. Fendrich, L. Li, H. Yang, S. Saatchi, and W. Li
Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest with ORCHIDEE r8849 Geosci. Model Dev., 18, 15, 4915-4933
Kashyap, R., and J. Kuttippurath
Tropical cyclones enhance photosynthesis in moisture-stressed regions of India npj Climate and Atmospheric Science, 8, 1
Zhu, H., T. Cheng, X. Li, X. Ye, D. Fan, T. Tang, H. Tong, and L. Zhang
Improving XCO2 retrieval under high aerosol loads with fused satellite aerosol Data: Advancing understanding of anthropogenic emissions ISPRS Journal of Photogrammetry and Remote Sensing, 223, 146-158
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