Global high-resolution simulations of CO<sub>2</sub> and CH<sub>4</sub> using a NIES transport model to produce a priori concentrations for use in satellite data retrievals

Saeki T.; Saito R.; Belikov D.; Maksyutov S.

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Global high-resolution simulations of CO₂ and CH₄ using a NIES transport model to produce a priori concentrations for use in satellite data retrievals

机译：使用NIES传输模型对CO _{2 和CH _{4 进行全球高分辨率模拟，以产生先验浓度以用于卫星数据检索}}

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The Greenhouse gases Observing SATellite (GOSAT) measures column-averaged dry air mole fractions of carbon dioxide and methane (XCO₂ and XCH₄, respectively). Since the launch of GOSAT, model-simulated three-dimensional conce

机译：温室气体观测卫星（GOSAT）测量了二氧化碳和甲烷的柱平均干燥空气摩尔分数（分别为XCO _{2 和XCH _{4 ）。自GOSAT推出以来，模型模拟的三维概念}}

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《Geoscientific Model Development Discussions》 |2012年第3期|共44页
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Saeki T.; Saito R.; Belikov D.; Maksyutov S.;
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中图分类天文学、地球科学;
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1. Global high-resolution simulations of COsub2/sub and CHsub4/sub using a NIES transport model to produce a priori concentrations for use in satellite data retrievals [J] . T.Saeki, R.Saito, D.Belikov, Geoscientific Model Development . 2013,第1期

机译：使用NIES传输模型对CO _{2 和CH _{4 进行全球高分辨率模拟，以产生先验浓度以用于卫星数据检索}}
2. Global high-resolution simulations of CO₂ and CH₄ using a NIES transport model to produce a priori concentrations for use in satellite data retrievals [J] . Saeki T., Saito R., Belikov D., Geoscientific Model Development Discussions . 2013,第1期

机译：使用NIES传输模型对CO _{2 和CH _{4 进行全球高分辨率模拟，以产生先验浓度以用于卫星数据检索}}
3. Global high-resolution simulations of CO₂ and CH₄ using a NIES transport model to produce a priori concentrations for use in satellite data retrievals [J] . Geoscientific Model Development Discussions . 2012,第1期

机译：使用NIES传输模型对CO _{2 和CH _{4 进行全球高分辨率模拟，以产生先验浓度以用于卫星数据检索}}
4. Spatiotemporal Continuous Estimates of PM2.5 Concentrations in China, 2000-2016: A Machine Learning Method with Inputs from Satellites, Chemical Transport Model, and Ground Observations [C] . Tao Xue, Yixuan Zheng, Jong Zhu, Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology . 2018

机译：2000-2016年中国PM2.5浓度的时空连续估计：一种基于卫星，化学传输模型和地面观测输入的机器学习方法
5. Variational Data Assimilation of Satellite Remote Sensing Observations for Improving Methane Simulations in Chemical Transport Models [D] . Stanevich, Ilya. 2018

机译：卫星遥感观测的变分数据同化，用于改进化学运输模型中的甲烷模拟
6. Sensitivity Analysis of Leakage Correction of GRACE Data in Southwest China Using A-Priori Model Simulations: Inter-Comparison of Spherical Harmonics Mass Concentration and In Situ Observations [O] . Zhiyong Huang, Jiu Jimmy Jiao, Xin Luo, 2019

机译：基于A-Priori模型模拟的西南地区GRACE数据泄漏校正的敏感性分析：球谐函数质量浓度和原位观测的相互比较
7. Global high-resolution simulations of CO₂ and CH₄ using a NIES transport model to produce a priori concentrations for use in satellite data retrievals [O] . S. Maksyutov, R. Saito, D. Belikov, 2013

机译：使用NIES传输模型对CO _{2 和CH _{4 进行全球高分辨率模拟，以产生先验浓度，用于卫星数据检索}}

Global high-resolution simulations of CO2 and CH4 using a NIES transport model to produce a priori concentrations for use in satellite data retrievals

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Global high-resolution simulations of CO₂ and CH₄ using a NIES transport model to produce a priori concentrations for use in satellite data retrievals