Huang Jianping

发布时间:2019-06-12  字体大小T|T
Jianping Huang
Distinguished Professor of Atmospheric Sciences
College of Atmospheric Sciences
Lanzhou University, Lanzhou, 730000, China,
Office Phone/Fax: +86-931-8914282/+86-931-8914277


Jianping Huang, Academic Divisions of the Chinese Academy of Sciences, Academician of the Academy of Sciences of Developing Countries, director of the Ministry of Education’s Key Laboratory for Semi-Arid Climate Change, Lanzhou University, together with his team, has built an internationally outstanding Semi-Arid Climate and Environment Observatory (SACOL), providing valuable observation data. Based on the observation data, Huang’s team has systematically studied climate change in arid and semiarid regions and improved the understanding of the complex mechanism of arid climate change in northwest China. His work has highlighted the semi direct effects of dust aerosols on the arid climate and its drying mechanism, winning the team second place in the National Natural Science Award in 2013.As of 2019, Jianping Huang has published 166 papers, which have been cited 8000 times with an h-index of 47. He has published three papers in Nature Climate Change. One of his first authored papers was selected as the cover article.

Climatology, Peking University, Postdoctoral Fellow, 1990
Climatology, Lanzhou University, Ph.D. 1989
Meteorology, Institute of Atmospheric Physics, Chinese Academy, M.S. 1986
Meteorology, Nanjing Institute of Meteorology, B.S. 1982

Professional Experience:
Sept. 2004 to Present Distinguished Professor and Director of SACOL, Lanzhou University
Jan. 2006 to Present Chief Scientist, Semi-Arid Climate and Environment Observatory, Lanzhou University
Aug. 2000 to Sept. 2004 Senior Scientist, AS&M/NASA Langley Research Center, Hampton, VA, 23666, USA
Apr. 1995 to July 2000 Scientist, Climate Research Branch, Environment Canada Toronto, Canada
Dec. 1992 to Mar.1995 Visiting Scientist, Climate System Research Program,
Texas A&M University, College Station, TX, USA
Jan. 1990 to Nov. 1992 Associate Professor, Department of Geophysical Sciences, Peking University, Beijing, China
Selected Honors:
2018 First Prize of Science and Technology Progress Award of Gansu Province
2017 National Innovation Award
2016 National Excellent Scientist Award
2015 Nomination of academic leader of innovation research group of National Fund Committee in China
2013 Second place for the National Award of Natural Science in China
2012 Natural Science Award of Gansu Province
2011 Academic leader of Changjiang Scholars and innovation team development plan of the Ministry of Education
2009 Distinguished Professor of Changjiang Scholar Program

Selected Professional Duties and Societies:
2017 Co-Chief Editor: Journal of Meteorological Research
2015 Vice chairman: 28th Council of the Chinese Meteorological Society on Drought Meteorology
2015 Editor: Scientific Reports
2015 Editor: Atmospheric Chemistry and Physics
2011 Vice Chairman: The Atmospheric Composition Committee of the 27thCouncil of Chinese Meteorology Society

Key Scientific Contributions:
1. Developing an observation system for arid and semiarid climate regions in China:
The drylands of northwest China are dominated by fragile ecosystems and frequent dust storms but lack advanced observatories for comprehensive detection. Over more than 10 years, Jianping Huang, together with his team, built an internationally outstanding Arid and Semi-Arid Climate and Environment Observatory (SACOL). Huang further revealed the typical characteristics of aerosols and radiation, cloud microphysical processes, radiative budgets, atmosphere boundary layer structures and land-atmosphere interactions in arid and semiarid areas. These observation results at different spatial and temporal scales have laid a foundation for research on aridification mechanisms. Through observation and multiple field
campaigns in the region, researchers have collected systematic, high-precision, long-term series data regarding aerosol optical and radiation characteristics, dust and black carbon in seasonal snow, cloud microphysical characteristics, the radiation energy budget, the atmospheric boundary layer structure and other characteristics of land-air interactions. These results have laid the foundation for understanding the processes of arid and semiarid climates and the mechanisms of desertification. Some of these works were cited by the Intergovernmental Panel on Climate Change (IPCC) Assessment Report.

2. Revealing the mechanism of dust aerosols affecting arid climate:
Previous studies on how dust aerosols affect clouds, precipitation and semiarid climate change in northwest China are scarce. Based on rich observation data, Huang’s team has systematically studied the role of dust aerosols in regional climate and revealed the mechanism by which dust shapes the dry climate in northwest China. Huang and his team found that humans play an important role in the generation and transport of dust aerosols, yet our understanding of how dust aerosols influence clouds and precipitation in northwest China is very limited. Combining remote sensing data and ground observations, Huang’s team mapped the routes and distribution characteristics of dust aerosols. They found that dust and pollutants generated in the Taklamakan and Gobi Deserts not only change the climate in northwest China through cloud physics but can also be transported by westerly jets across eastern Asia and the Pacific Ocean and may even reach North America. The research confirms that dust aerosols can accelerate the evaporation of cloud droplets and reduce the cloud water path in lower-level water clouds by absorbing solar radiation. This semi direct effect has accelerated cloud evaporation and intensified aridification in semiarid areas in northwest China. The work highlighted the semi direct effects of dust aerosols on the arid climate and its drying mechanism, winning the team second place in the National Natural Science Award in 2013.

3. Finding enhanced warming and accelerated expansion of drylands:
Increasing aridity would accelerate desertification and regional warming and threaten ecological safety and national security. However, most existing models cannot accurately simulate the evolution of aridity, making it difficult to predict its expansion. Based on years of systematic observation and climate projections, Huang’s team was the first to find that semiarid regions have seen the most notable temperature increases, except the Arctic, in the past 100 years. In particular, winter temperature increases in the Northern Hemisphere’s semiarid and dry regions are twice the global average increases. With three papers published in Nature Climate Change, Huang’s study also proposed feedback mechanisms through which warming
and drying trends reinforce each other. Warming may cause a higher evaporative effect from the land surface, which may aggravate the drying trend, while decreased soil moisture may lead to a decrease in latent heat flux and an increase in sensible heat flux, which may enhance temperature extremes. Meanwhile, warming-induced dryland expansion and human-led reduction in vegetation cover would reduce soil carbon storage and carbon sequestration capacity, leading to increased carbon emissions into the atmosphere, aggravating global warming and the drying trend. Huang’s prediction suggests that if the global temperature rises by 2°C on average, arid and semiarid regions will become warmer by 3.2 – 4°C, which is nearly 44% higher than in humid regions. Keeping global warming within 1.5°C will greatly mitigate the possibility of climate catastrophes in arid and semiarid regions. As cited in an IPCC special report, based on a global warming level of 1.5°C, this study provides a new basis for determining the global emission reduction target.

Selected Journal Publications (* means corresponding author):
1. Li C., J. Huang*, Y. He, D. Li, et al. 2019: Atmospheric warming slowdown during 1998-2013 associated with increasing ocean heat content. Advances in Atmospheric Science, vol. 36, 1-15. DOI: 10.1007/s00376-019-8281-0.

2. Huang J.*, J. Ma, X. Guan, Y. Li, et al. 2019: Progress in semi-arid climate change studies in China. Advances in Atmospheric Science, vol. 36, 922–937. DOI: 10.1007/s00376-018-8200-9.

3. Chen S., X. Zhang, J. Lin, J. Huang*, et al. 2019: Fugitive Road Dust PM2.5 Emissions and Their Potential Health Impacts. Environ. Sci. Technol, 53, 8455-8465. DOI: 10.1021/acs.est.9b00666.

4. Guan X., j. Ma, J. Huang*, R. Huang, et al. 2019: Impact of oceans on climate change in drylands. Science China Earth Sciences, 62: 891–908. DOI: org/10.1007/s11430-018-9317-8.

5. Liu Y., Q. Zhu, J. Huang*, S. Hua, et al. 2019: Impact of dust-polluted convective clouds over the Tibetan Plateau on downstream precipitation. Atmospheric Environment: 209 (2019) 67–77.

6. Li D., Y. He, J. Huang*, L. Bi, et al. 2019: Multiple equilibria in a land–atmosphere coupled system. J. Meteor. Res.: 32(6), 950–973. DOI: 10.1007/s13351-018-8012-y.

7. Zhang Z., J. Huang*, B. Chen, Y. Yi, et al. 2019: Three-year continuous observation of pure and polluted dust aerosols over northwest China using the ground-based lidar and sun photometer data. Journal of Geophysical Research: Atmospheres. DOI: 10.1029/2018JD028957.

8. Chen S., N. Jiang, J. Huang*, et al. 2018: Estimation of indirect and direct anthropogenic dust emission at the global scale. Atmospheric Environment 200(2019) 50-60. DOI: 10.1016/j.atmosenv.2018.11.063.

9. He Y., J. Huang*, D. Li, et al. 2018: Comparison of the effect of land-sea thermal contrast on interdecadal variations in winter and summer blockings. Clim Dyn 51:1275–1294. DOI: 10.1007/s00382-017-3954-9.

10. Huang J.*, X. Liu, C. Li, L. Ding, et al. 2018: The global oxygen budget and its future projection. Science Bulletin, 63 (2018) 1180–1186. DOI: 10.1016/j.scib.2018.07.023.

11. Chen S., N. Jiang, J. Huang*, et al. 2018: Quantifying contributions of natural and anthropogenic dust emission. Atmospheric Environment, 191(2018)94-104. DOI: 10.1016/j.atmosenv.2018.07.043.

12. Chen S., J. Huang*, Y. Qian, C. Zhao, et al. 2018: An overview of mineral dust modeling over East Asia. Journal of Meteorological Research, DOI: 10.1007/s13351-017-6142-2.

13. Li J., B. Jian, J. Huang*, Y. Hu, et al. 2018: Long-term variation of cloud droplet number concentrations from space-based Lidar. Remote Sensing of Environment: 213,144-161. DOI:10.1016/j.rse.2018.05.011

14. Ge J., C. Zheng, H. Xie, Y. Xin, J. Huang*, et al. 2018: Mid-latitude cirrus cloud at the SACOL site_ macrophysical properties and large-scale atmospheric state. Journal of Geophysical Research: Atmospheres. DOI: 10.1002/2017JD027724

15. Bi J., J. Huang*, J. Shi, Z. Hu, et al. 2017: Measurement of scattering and absorption properties of dust aerosol in a Gobi farmland region of northwestern China-a potential anthropogenic influence. Atmospheric Chemistry and Physics, 17(12), 7775-7792, DOI: 10.5194/acp-17-7775-2017.

16. Chen S., J. Huang*, J. Li, R. Jia, et al. 2017: Comparison of dust emissions, transport, and deposition between the Taklimakan Desert and Gobi Desert from 2007 to 2011. Science China Earth Sciences, 60(7), 1338-1355, DOI: 10.1007/s11430-016-9051-0.

17. Cheng S., J. Huang*, F. Ji and L. Lin. 2017: Uncertainties of soil moisture in historical simulations and future projections. Journal of Geophysical Research: Atmospheres, 122(4), 2239-2253, DOI: 10.1002/2016JD025871.
18. Guan X., J. Huang* and R. Guo. 2017: Changes in Aridity in Response to the Global Warming Hiatus. Journal of Meteorological Research, 31(1), 117-125, DOI: 10.1007/s13351-017-6038-1.

19. He Y., J. Huang*, H., Shugart H., X. Guan, et al. 2017: Unexpected Evergreen Expansion in the Siberian Forest under Warming Hiatus. Journal of Climate, 30(13), 5021-5039, DOI: 10.1175/JCLI-D-16-0196.1.

20. Chen S., J. Huang*, L. Kang, H. Wang, et al. 2017: Emission, transport, and radiative effects of mineral dust from the Taklimakan and Gobi deserts_ comparison of measurements and model results. Atmospheric Chemistry and Physics, 17(3), 2401–2421, DOI: 10.5194/acp-17-2401-2017.

21. Huang J., Y. Li, C. Fu, F. Chen, et al. 2017: Dryland climate change recent progress and challenges. Reviews of Geophysics, 55(3), 719-778, DOI: 10.1002/2016RG000550.

22. Huang J.*, H. Yu, A. Dai, Y. Wei, et al. 2017: Drylands face potential threat under 2°C global warming target. Nature Climate Change, 7(6), DOI:

23. Chen S., J. Huang*, C. Zhao, Y. Qian, et al. 2017: An Overview of Mineral Dust Modeling over East Asia, Journal of meteorological Research, 31(4), 633-653, DOI: 10.1007/s13351-017-6142-2.

24. Huang J.*, Y. Xie, X. Guan, D. Li, et al. 2017: The dynamics of the warming hiatus over the Northern Hemisphere. Climate Dynamics, 48(1-2), 429-446, DOI: 10.1007/s00382-016-3085-8

25. Bi J., J. Huang*, B. Holben, and G. Zhang. 2016: Comparison of key absorption and optical properties between pure and transported anthropogenic dust over East and Central Asia. Atmospheric Chemistry and Physics, 16(24), 15501-15516, DOI: 10.5194/acp-16-15501-2016.

26. Cheng S. and J. Huang*. 2016: Enhanced soil moisture drying in transitional regions under a warming climate. Journal of Geophysical Research: Atmospheres, 121(6), 2542-2555, DOI: 10.1002/2015JD024559.

27. Huang J.*, M. Ji, Y. Xie, S. Wang, et al. 2016: Global semi-arid climate change over last 60 years. Climate Dynamics, 46(3-4), 1131-1150, DOI: 10.1007/s00382-015-2636-8.

28. Guan, X., J. Huang*, Y. Zhang, Y. Xie, et al. 2016: The relationship between anthropogenic dust and population over global semi-arid regions. Atmospheric Chemistry and Physics, 16(8), 5159-5169, DOI: 10.5194/acp-16-5159-2016

29. Ge, J., H. Liu, J. Huang*  2016: Taklimakan desert nocturnal low level jet: climatology and dust activity. Atmospheric Chemistry and Physics, 16(12), 7773-7783, DOI: 10.5194/acp-16-7773-2016.

30. Xie Y., Y. Liu, and J. Huang*. 2016: Overestimated Arctic warming and underestimated Eurasia mid-latitude warming in CMIP5 simulations. International Journal of Climatology, 36(14), 4475-4487.DOI: 10.1002/joc.4644.

31. Huang J.*, H. Yu, X. Guan, G. Wang, et al. 2016: Accelerated dryland expansion under climate change. Nature Climate Change, 6(2), DOI: 10.1038/nclimate2837.

32. Kang L., J. Huang*, S. Chen and X. Wang. 2016: Long-term trends of dust events over Tibetan Plateau during 1961-2010. Atmospheric Environment, 125, 188-198, DOI: 10.1016/j.atmosenv.2015.10.085.

33. Huang Z., J. Huang*, T. Hayasaka, S. Wang, et al. 2015: Short-cut transport path for Asian dust directly to the Arctic: a case study. Environmental Research Letters, 10, 114018, DOI: 10.1088/1748-9326/10/11/114018.

34. Guan X., J. Huang*, R. Guo, H. Yu, et al. 2015: Role of radiatively forced temperature changes in enhanced semi-arid warming in the cold season over East Asia. Atmospheric Chemistry and Physics, 15(23), 13777-13786, DOI: 10.5194/acp-15-13777-2015.

35. Lu Q., J. Li, T. Wang and J. Huang*. 2015: Cloud radiative forcing induced by layered clouds and associated impact on the atmospheric heating rate. Journal of Meteorological Research, 29(5), 779-792, DOI: 10.1007/s13351-015-5078-7.

36. Guan X., J. Huang*, R. Guo and P. Lin. 2015: The role of dynamically induced variability in the recent warming trend slowdown over the Northern Hemisphere. Scientific Reports, 5, 12669, DOI: 10.1038/srep12669.

37. Ji M., J. Huang*, Y. Xie and J. Liu. 2015: Comparison of dryland climate change in observations and CMIP5 simulations. Advances in Atmospheric Sciences, 32(11), 1565–1574, DOI: 10.1007/s00376-015-4267-8.

38. Cheng S., X. Guan, J. Huang*, F. Ji, et al. 2015: Long-term trend and variability of soil moisture over East Asia. Journal of Geophysical Research: Atmospheres, 120(17), 8658-8670, DOI: 10.1002/2015JD023206.

39. Huang J.*, J. Liu, B. Chen and S. L. Nasiri. 2015: Detection of anthropogenic dust using CALIPSO lidar measurements. Atmospheric Chemistry and Physics, 15(20), 11653-11665, DOI: 10.5194/acp-15-11653-2015.

40. Liu J., J. Huang*, B. Chen, T. Zhou, et al. 2015: Comparisons of PBL heights derived from CALIPSO and ECMWF reanalysis data over China. Journal of Quantitative Spectroscopy & Radiative Transfer, 153, 102-112, DOI: 10.1016/j.jqsrt.2014.10.011.

41. Yan H., J. Huang*, P. Minnis, Y. Yi, et al. 2015: Comparison of CERES-MODIS cloud microphysical properties with surface observations over Loess Plateau. Journal of Quantitative Spectroscopy & Radiative Transfer, 153, 65-76, DOI: 10.1016/j.jqsrt.2014.09.009.

42. Li J., J. Huang*, K. Stamnes, T. Wang, et al. 2015: A global survey of cloud overlap based on CALIPSO and CloudSat measurements. Atmospheric Chemistry and Physics, 15(1), 519-536, DOI: 10.5194/acp-15-519-2015.

43. Ge J., J. Huang*, C. Xu, Y. Qi, et al. 2014: Characteristics of Taklimakan dust emission and distribution: A satellite and reanalysis field perspective. Journal of Geophysical Research: Atmospheres, 119(20), 11,772–11,783, DOI: 10.1002/2014JD022280.
44. Huang J.*, T. Wang, W. Wang, Z. Li, et al. 2014: Climate effects of dust aerosols over East Asian arid and semiarid regions. Journal of Geophysical Research: Atmospheres, 119, 11398–11416, DOI: 10.1002/2014JD021796.

45. Bi J., J. Huang*, Z. Hu, B. Holben, et al. 2014: Investigating the aerosol optical and radiative characteristics of heavy haze episodes in Beijing during January of 2013. Journal of Geophysical Research: Atmospheres, 119(16), 9884-9900, DOI: 10.1002/2014JD021757.

46. Wang S., J. Huang*, Y. He,et al. 2014: Combined effects of the Pacific Decadal Oscillation and El Nino-Southern Oscillation on Global Land Dry-Wet Changes. Scientific Reports, 4, 6651, DOI: 10.1038/srep06651.

47. Yu H., J. Huang*, W. Li and G. Feng. 2014: Development of the analogue-dynamical method for error correction of numerical forecasts. Journal of Meteorological Research, 28(5), 934–947, DOI: 10.1007/s13351-014-4077-4.

48. Liu J., B. Chen and J. Huang*. 2014: Discrimination and validation of clouds and dust aerosol layers over the Sahara Desert with combined CALIOP and IIR measurements. Journal of Meteorological Research, 128(2), 185-198, DOI: 10.1007/s13351-014-3051-5.

49. He Y., J. Huang* and M. Ji. 2014: Impact of land–sea thermal contrast on interdecadal variation in circulation and blocking. Climate Dynamics, 1-13, DOI: 10.1007/s00382-014-2103-y.

50. Yu H., J. Huang* and J. Chou. 2014: Improvement of Medium-Range Forecasts Using the Analog-Dynamical Method. Monthly Weather Review, 142, 1570-1587, DOI:10.1002/joc.3943.

51. Bi J., J. Huang*,  J. Ge, et al. 2013: Field measurement of clear-sky solar irradiance in BadainJaran Desert of Northwestern China. Journal of Quantitative Spectroscopy & Radiative Transfer, 122, 194-207, DOI: 10.1016/j.jqsrt.2012.07.025.
52. Zhang D., J. Huang*, X. Guan, B. Chen, et al. 2013: Long-term trends of precipitable water and precipitation over the Tibetan Plateau derived from satellite and surface measurements. Journal of Quantitative Spectroscopy & Radiative Transfer, 122, 64-71, DOI: 10.1016/j.jqsrt.2012.11.028.

53. Wang W., J. Huang*, T. Zhou, J. Bi, et al. 2013: Estimation of radiative effect of a heavy dust storm over northwest China using Fu-Liou model and ground measurements. Journal of Quantitative Spectroscopy & Radiative Transfer, 122, 114-126, DOI: 10.1016/j.jqsrt.2012.10.018.

54. Zhou T, J. Huang*, Z. Huang, J. Liu, et al. 2013: The depolarization-attenuated backscatter relationship for dust plumes. Optics Express, 13(21), 15195-15204, DOI: 10.1364/OE.21.015195.
55. Bi J., J. Huang*, F. Qiang, X. Wang, et al. 2011: Toward characterization of the aerosol optical properties over Loess Plateau of Northwestern China. Journal of Quantitative Spectroscopy & Radiative Transfer, 112, 346-360,DOI: 10.1029/2009JD013372.
56. Xie J., J. Huang*, G. Wang, K. Higuchi, et al. 2010: The effects of clouds and aerosols on net ecosystem CO2 exchange over semi-arid Loess Plateau of Northwest China. Atmospheric Chemistry and Physics, 10, 8205-8218, DOI: 10.5194/acp-10-8205-2010.
57. Huang J.*, P. Minnis, Yan, H., Yi, Y., et al. 2010: Dust aerosol effect on semi-arid climate over Northwest China detected from A-Train satellite measurements. Atmospheric Chemistry and Physics, 10, 6863-6872, DOI: 10.5194/acp-10-6863-2010.
58. Guan X., J. Huang*, N. Guo, J. Bi, et al. 2009: Variability of soil moisture and its relationship with surface albedo and soil thermal parameters over the Loess Plateau. Advances in Atmospheric Sciences, 26(9), 692-700, DOI: 10.1007/s00376-009-8198-0.
59. Huang J.*, J. Su, Q. Tang, et al. 2009: Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints. Atmospheric Chemistry and Physics, 9, 4011-4021, DOI: 10.5194/acp-9-4011-2009.
60. Zuo J, J. Huang*, J. Wang, W. Zhang, et al. 2009: Surface turbulent flux measurements over the Loess Plateau for a semi-arid climate change study. Advances in Atmospheric Sciences, 26(4), 679-691, DOI: 10.1007/s00376-009-8188-2.
61. Huang J.*, W. Zhang, J. Zuo, J. Bi, et al. 2008: An overview of the semi-arid climate and environment research observatory over the Loess Plateau. Advances in Atmospheric Sciences, 25(6), 1-16, DOI: 10.1007/s00376-008-0906-7.
62. Ge J., J. Huang*, F. Weng and W. Sun. 2008: Effects of dust storms on
microwave radiation based on satellite observation and model simulation over the Taklamakan Desert. Atmospheric Chemistry and Physics, 8, 4903-4909, DOI: 10.5194/acp-8-4903-2008.
63. Su J., J. Huang*,  P. Minnis, et al. 2008: Estimation of Asian dust aerosol effect on cloud radiation forcing using Fu-Liou radiative model and CERES measurements. Atmospheric Chemistry and Physics, 8, 2763-2771, DOI: 10.5194/acp-8-2763-2008.

64. Wang X., J. Huang*, M. Ji and K. Higuchi. 2008: Variability of East Asia dust events and their long-term trend. Atmospheric Environment, 42, 3156-3165, DOI: 10.1016/j.atmosenv.2007.07.046.

65. Huang J.*, J. Ge and F. Weng. 2007: Detection of Asia dust storms using multisensor satellite measurements. Remote Sensing of Environment, 110, 186-191, DOI: 10.1016/j.rse.2007.02.022.

66. Huang J.*, P. Minnis, Y. Yi, Q.Tang, et al. 2007: Summer dust aerosols detected from CALIPSO over the Tibetan Plateau. Geophysical Research Letters, 34, L18805, DOI: 10.1029/2007GL029938.

67. Huang J.*, P. Minnis, B. Lin, Y. Yi, et al. 2006: Determination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E measurements. Geophysical Research Letters, 33, L21801, DOI: 10.1029/2006GL027038.

68. Huang J.*, B. Lin, P. Minnis, T. Wang, et al. 2006: Satellite-based assessment of possible dust aerosols semi-direct effect on cloud water path over East Asia. Geophysical Research Letters, 33, DOI: 10.1029/2006GL026561.

69. Huang J.*, Y. Wang, T. Wang and Y. Yi. 2006: Dusty cloud radiative forcing derived from satellite data for middle latitude regions of East Asia. Progress in Natural Science, 16(10), 1084-1089, DOI: 10.1029/2010JD014109.

70. Huang J.*, P. Minnis, B. Lin, T. Wang, et al. 2006: Possible influences of Asian dust aerosols on cloud properties and radiative forcing observed from MODIS and CERES. Geophysical Research Letters, 33, L06824, DOI: 10.1029/2005GL024724.

71. Huang J.*, M. Ji, K. Higuchi and A. Shabbar. 2006: Temporal structure of North Atlantic Oscillation and its impacts on the regional climate variability. Advances in Atmospheric Sciences, 23(1), 23-32, DOI: 10.1007/s00376-006-0003-8.

72. Huang J.*, P. Minnis, B. Lin, et al. 2005: Advanced retrievals of multilayered cloud properties using multispectral measurements. Journal of Geophysical Research: Atmospheres, 110, D15S18, DOI: 10.1029/2004JD005101.

73. Huang J.*, K. Higuchi and A. Shabbar. 1998: The Relationship between the North Atlantic Oscillation and El Ni?o-Southern Oscillation. Geophysical Research Letters, 25, 2707-2710, DOI: 10.1029/98GL01936.

74. Huang J. and H.-R. Cho. 1998: Seasonal modulated intraseasonal oscillation in a GCM Simulation. International Journal of Climatology, 18, 1521-1537, DOI: 10.1002/ (SICI) 1097-0088(19981130)18:143.0.CO;2-1.

75. Huang J., K. Higuchi and N. B. A. Trivett. 1997: Multiresolution Fourier Transform and Its Application on Analysis of CO2 Fluctuations over Alert. Journal of the Meteorological Society of Japan, 75, 701-715.

76. Huang J., Cho, H. and G. R. North. 1996: Applications of the cyclic spectral
analysis to the surface temperature fluctuations in a stochastic climate model and a GCM simulation. Atmosphere-Ocean, 34, 401-416, DOI: 10.1080/07055900.1996.9649580.

77. Huang J.* and G. R. North. 1996: Cyclic spectral analysis of fluctuations in a GCM simulation. Journal of the Atmospheric Sciences, 53, 370-379, DOI: 10.1175/1520-0469(1996)053<0370: CSAOFI>2.0.CO;2.

78. Huang J.*, Y. Yi, S. Wang and J. Chou. 1993: An analogue-dynamical long-range numerical weather prediction system incorporating historical evolution. Quarterly Journal of the Royal Meteorological Society, 119, 547-565, DOI: 10.1002/qj.49711951111.

79. Huang J. and S. Wang. 1992: The experiment of seasonal prediction using the analogy-dynamical model. Science in China (B), 35, 207-216, DOI: 10.1360/yb1992-35-2-207.

80. Huang J. and Y. Yi. 1991: Inversion of a nonliner dynamical model from the observation. Science in China (B), 34, 1246-1251.

81. Huang J. and J. Chou, 1990: Studies on the analogous rhythm phenomenon in coupled ocean-atmosphere system. Science in China (B), 33, 851-860.


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