吕宁

中国科学院地理科学与资源研究所

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  • 吕宁
  • 副研究员

个人简况

男,1981年生,博士。中国科学院地理科学与资源研究所副研究员,硕士生导师,中国科学院青年创新促进会会员,环保部“十一五”国家环境保护科技工作先进个人。

教育和工作经历

1999.09-2003.06中国地质大学(武汉),本科;

2003.09-2006.06中国地质大学(武汉),硕士;

2006.09-2009.06中国科学院地理科学与资源研究所,博士;

2009.07-2013.12中国科学院地理科学与资源研究所,助理研究员;

2012.09-2013.03美国国家大气研究中心(NCAR),访问学者;

2016.12-2017.12美国马里兰大学地理系,访问学者;

2013.12-至今 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,副研究员。

研究领域和研究方向

研究领域:

地理学与气候变化

研究方向:

环境遥感及其气候分析应用

论文发表

1. Jiang H., Lu N.* (2018). Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images. Remote Sensing, 10(6), 945.

2. Lu N.*, Liang S., Huang G., Qin J., Yao L., Wang D., Yang K. (2018). Hierarchical Bayesian space-time estimation of monthly maximum and minimum surface air temperature. Remote Sensing of Environment, 211, 48-58.

3. Huang, G., Liang, S., Lu, N., Ma, M., Wang, D. (2018). Towards a Broadband Parameterization Scheme for Estimating Surface Solar Irradiance: Development and Preliminary Results on MODIS Products. Journal of Geophysical Research: Atmospheres.

4. Jiang H., Lu N.*, Yao L., Zhang X. (2018). Single image dehazing for visible remote sensing based on tagged haze thickness maps. Remote Sensing Letters, 9(7), 627-635.

5. Gao Y., Wang W., Yao T., Lu N., Lu A. (2018). Hydrological network and classification of lakes on the Third Pole. Journal of Hydrology, 560, 582-594.

6. Zhao N., Lu N., Chen C., Li H., Yue T., Zhang L., Liu Y. (2017). Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing–Tianjin–Hebei region, China. Meteorological Applications, 24(4), 571-579.

7. Jiang H, Lu N*, Yao L. (2016), A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images, Remote Sensing, 8(10), 1-18, doi:10.3390/rs8100844.

8. Tang W, Qin J, Yang K, Liu S, Lu N, Niu X. (2016), Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data, Atmospheric Chemistry and Physics, 16, 2543-2557.

9. Qin, J., W. Tang, K. Yang, Lu N, X. Niu, and S. Liang. (2015), An efficient physically based parameterization to derive surface solar irradiance based on satellite atmospheric products, J. Geophys. Res. Atmos., 120, 4975–4988, doi:10.1002/2015JD023097.

10. Lin, C, Yang K, Huang J, Tang W, Qin J, Niu X, Chen Y, Chen D, Lu N, and Fu R. (2015), Impacts of wind stilling on solar radiation variability in China. Scientific Reports 5, 15135; doi: 10.1038/srep15135.

11. Lu N*, Trenberth K, Qin J, Yang K, and Yao L. (2015), Detecting Long-Term Trends in Precipitable Water over the Tibetan Plateau by Synthesis of Station and MODIS Observations. Journal of Climate, 28, 1707–1722.

12. Yao L, Lu N*, Yue X, Du J, Yang C. (2015), Comparison of Hourly PM 2.5 Observations Between Urban and Suburban Areas in Beijing, China. International Journal of Environmental Research and Public Health, 12(10), 12264-12276.

13. Lu N*, Qin J, Gao Y, Yang K, Trenberth K, Gehne M, Zhu Y (2014), Trends and variability in atmospheric precipitable water over the Tibetan Plateau for 2000-2010, International Journal of Climatology, DOI: 10.1002/joc.4064, 2014.

14. Yao L, Lu N.* (2014), Spatiotemporal distribution and short-term trends of particulate matter concentration over China, 2006-2010, Environmental Science and Pollution Research, DOI 10.1007/s11356-014-2996-3,

15. Jiang H, Feng M, Zhu Y, Lu N, Huang J, Xiao T., An Automated Method for Extracting Rivers and Lakes from Landsat Imagery. Remote Sensing, 6(6), 5067-5089, 2014.

16. Yao L, Lu N.* (2014), Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing, International Journal of Environmental Research and Public Health, DOI:10.3390/ijerph110505241.

17. Miao R, Lu N*, Yao L, Zhu Y, Wang J, Sun J (2013), Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011), Remote Sensing, 5(7).

18. Yang K, Qin J, Zhao L, Chen Y, Tang W, Han M, Lazhu, Chen Z, Lu N, Ding B, Wu H, Lin C (2013), A Multi-Scale Soil Moisture and Freeze-Thaw Monitoring Network on the Third Pole. Bulletin of the American Meteorological Society, doi: http://dx.doi.org/10.1175/BAMS-D-12-00203.1.

19. Qin J, Yang K, Lu N, Chen Y, Zhao L, Han M (2013), Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia. Remote Sensing of Environment, 138, 1-9.

20. Yang K, Ding B, Qin J, Tang W, Lu N, Lin C (2012), Can aerosol loading explain the solar dimming over the Tibetan Plateau?, Geophys. Res. Lett., 39, L20710.

21. Lu N*, Qin J, Yang K, Gao Y, Xu X, Koike T (2011), On the use of GPS measurements for MODIS precipitable water vapor evaluation over southern Tibet, Journal of Geophysical Research, 116, D23117.

22. Lu N*, Qin J, Yang K, Sun J (2011), A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data, Energy, 36(5), 3179-3188.

23. Gao Y, Lu N*, Yao T (2011), Evaluation of a cloud-gap-filled MODIS daily snow cover product over the Pacific Northwest USA. Journal of Hydrology, doi:10.1016/j.jhydrol.2011.04.026.

24. Lu N, Liu R, Liu J, Liang S (2010), An Algorithm for Estimating Downward Shortwave Radiation from GMS 5 Visible Imagery and its Evaluation over China, Journal of Geophysical Research, 115, D18102.

25. Gao Y, Xie H, Lu N, Yao T (2010), Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements. Journal of Hydrology, doi:10.1016/j.jhydrol.2010.01.022

26. 张星星, 吕宁, 姚凌, 姜侯 (2018), ECMWF地表太阳辐射数据在我国的误差及成因分析. 地球信息科学学报, 20(2):254-267.

27. 姜侯 , 吕宁, 姚凌 (2016), 改进HOT法的Landsat 8 OLI遥感影像雾霾及薄云去除. 遥感学报, 20(4): 620–631.

28. 姚凌, 吕宁, 师华定, 利用SCIAMACHY遥感资料研究我国NO2柱浓度及其时空分布. 环境科学研究, 25(4), 419-424, 2012.

29. 廖秀英, 孙九林, 吕宁, 王卷乐, 程辉, 探讨利用SCIAMACHY数据反演温室气体二氧化碳. 地球物理学进展, 27(3), 837-845, 2012.

30. 吕宁, 刘荣高, 刘纪远(2009), 1998-2002年中国地表太阳辐射的时空变化分析. 地球信息科学, 11(5), 623-630.

主要研究项目

1. 国家自然科学基金青年基金“地表太阳辐射遥感反演高效算法研究”(41001215),2011.01-2013.12;

2. 国家自然科学基金面上项目“青藏高原地表太阳辐射多源遥感反演方法研究”(41371016),2014.01-2017.12;

3. 环保部公益项目重大研究项目“我国中东部地区PM2.5遥感监测关键技术和业务化运行方法研究”(20130902),2013.01-2014.12;

4. 中国科学院青年创新促进会项目,2012.01-2015.12;