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| 1 | Monitoring Greenhouses Gases over China Using Space-Based Observations Monitoring Greenhouses Gases over China Using Space-Based Observations显示文摘The atmospheric carbon dioxide(CO 2)concentration has increased to more than 405 parts per million(ppm.1 ppm=10-6 m/s 2)in 2017 due to human activities such as deforestation,land-use change and burning of fossil fuels.Although there is broad scientific consensus on the damaging consequences of the change in climate associated with increasing concentrations of greenhouse gases,fossil CO 2 emissions have continued to increase in recent years mainly from rapidly developing economies and China is now the largest emitter of CO 2 generating about 30%of all emissions globally.To allow more reliable forecast of the future state of the carbon cycle and to support the efforts for mitigation greenhouse gas emissions,a better understanding of the global and regional carbon budget is needed.Space-based measurements of CO 2 can provide the necessary observations with dense coverage and sampling to provide improved constrains on of carbon fluxes and emissions.The Chinese Global Carbon Dioxide Monitoring Scientific Experimental Satellite(TanSat)was established by the National High Technology Research and Development Program of China with the main objective of monitoring atmospheric CO 2 and CO 2 fluxes at the regional and global scale.TanSat has been successfully launched in December 2016 and as part of the Dragon programme of ESA and the Ministry of Science and Technology(MOST),a team of researchers from Europe(UK and Finland)and China has evaluated early TanSat data and contrast it against data from the GOSAT mission and models.In this manuscript,we report on retrieval intercomparisons of TanSat data using two different retrieval algorithms,on validation efforts for the Eastern Asia region using GOSAT CO 2 data and first assessments of TanSat and GOSAT CO 2 data against model calculations using the GEOS-Chem model. | Hartmut BOESCH Yi LIU Paul I PALMER Johanna TAMMINEN Jasdeep S ANAND Zhaonan CAI Ke CHE Huilin CHEN Xi CHEN Liang FENG Janne HAKKARAINEN Pauli HEIKKINEN Nikoleta KALAITZI Rigel KIVI Robert PARKER Peter SOMKUTI Jing WANG Alex WEBB Dongxu YANG Lu YAO You YI | 2020 | Journal of Geodesy and Geoinformation Science2020，3，4： | 2 |
| 2 | 基于动态集成决策树的多类别时间序列分类模型显示文摘针对以往时间序列分类技术忽略了数据间自相关性对算法影响的不足,通过对传统决策树算法进行扩展,提出了序列熵和序列对信息增益的概念,并以此构建针对时间序列的决策树(time series decision tree,TSDT)。在此基础上,以TSDT为基分类器,通过动态分类器集成技术,提出了时间序列动态集成分类算法(En-TSDT)。在UCR数据集上的实验表明,与目前应用最广泛的1NN-DTW分类器相比,En-TSDT克服了时间序列数据的自相关性对分类算法的影响,具有更好的分类性能和鲁棒性。 | 徐雷 Geoff I Webb Francois Petitjean 张阳 | 2018 | 计算机应用研究2018，35，6： | 2 |
| 3 | Discretization for naive-Bayes learning: managing discretization bias and variance 显示文摘 | Yang Y Webb G I | 2009 | Machine learning (S0885-6125)2009，74，1： | 1 |
| 4 | Ensemble Selection for SuperParent - One - Dependence Estimators 显示文摘 | Ying Yang Kevin Korb Kai Ming Ting Geoffrey I Webb | 2005 | Advances in Artificial Intelligence2005，，： | 1 |
| 5 | Enrichment of autotrophic anaerobic ammonium-oxidizing consortia from various wastewaters显示文摘 | TOH S K WEBB R I ASHBOLT N J | 2002 | Microb Eeol2002，43，1： | 1 |
| 6 | Correction of flux measurements for density effects due to heat and water va- pour transfer显示文摘 | Webb E K Pearman G I Leuning R | 1980 | Quarterly Journal of the Royal Meteorological Society1980，106，447： | 1 |
| 7 | Kinetic parameters of Aspergillus awamori in submerged cultivations on whole wheat flour under oxygen limiting conditions 显示文摘 | Koutinas A A Wang R Kookos I K Webb C | 2003 | Biochemical Engineering Journal (S1369-703X)2003，16，1： | 1 |
| 8 | Asymmetric focal adhesion disassembly in motile cells显示文摘 | Broussard J A Webb D J Kaverina I | 2008 | Curr Opin Cell Biol2008，20，： | 1 |
| 9 | Correction of flux measurements for density effects due to heat and water vapor transfer显示文摘 | Webb E K G I Pearman R Leuning | 1980 | Quart J Roy Meteor Soc1980，106，： | 1 |
| 10 | Pulmonary valve replacement late after repair of tetralogy of FallOT显示文摘 | EMETS I M WILLIAMS W G WEBB G D | 1997 | Ann Thorac Surg1997，64，2： | 1 |
| 11 | Percutaneous aortic valve implantation retrograde from the femoral artery显示文摘 | Webb J G Chandavimol M Thompson C R Ricci D R Carere R G Munt B I | 2006 | Circulation2006，113，： | 1 |
| 12 | Renal involvement in pathological features in 23 cases显示文摘 | Richards Ma Mootoosamy I Reznek Rh Webb TA | 1990 | Hematol Oncol1990，8，： | 1 |
| 13 | Artemisinins target the SERCA of Plasmodium falciparum显示文摘 | Eckstein-Ludwig U Webb R J van Goethem I D A | 2003 | Nature2003，424，： | 1 |
| 14 | Correction of flux measurement for density effects due to heat and water vapour transfer显示文摘 | Pearman G I Leuning R | 1980 | Quarterly Journal Royal Meteorological Society1980，106，： | 1 |
| 15 | Lazy Learning of Bayesian Rules显示文摘 | Zheng Z Webb G I | 2000 | Machine Learning2000，41，： | 1 |
| 16 | Correction of flux measurements for density effects due to heat and water vapour transfer 显示文摘 | Webb E K Pearman G I Leuning R | 1980 | Quarterly Journal of the Royal Meteorological Society1980，106，： | 1 |
| 17 | Learning by extrapo-lation from marginal to full-multivariate probability distributions:decreasingly naive Bayesian classification显示文摘 | Webb G I Boughton J R Zheng Fei | 2012 | Machine Learning2012，86，2： | 1 |
| 18 | Lazy learning of Bayesian Rules 显示文摘 | Z Zheng G I Webb | 2000 | Machine Learning2000，41，1： | 1 |
| 19 | Correction of flux measure ments for density effects due to heat and water vapour transfer显示文摘 | WEBB E K PEARMAN G I LEUNING R | 1980 | Quarterly Journal of the Royal Meteorological Society1980，106，： | 1 |
| 20 | MultiBoosting: A technique for combining boosting and wagging 显示文摘 | WEBB G I | 2000 | Machine Learning2000，40，2： | 1 |
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