1. Jia, G., 2020: The role of big Earth data in understanding climate change, Big Earth Data, 4(2): 91-93.

2. Xu, X*., G. Jia*, X. Zhang, W.J. Riley, Y. Xue, 2020: Climate regime shift and forest loss amplify fire in Amazonian forests, Global Change Biology, 26(10): 5874-5885, doi:10.1111/gcb.15279.

3. Bao, T., X. Xu, G. Jia, D.P. Billesbach, R.C. Sullivan, 2020: Much stronger tundra methane emissions during autumn-freeze than spring-thaw, Global Change Biology, doi: 10.1111/gcb.15421.

4. Xu, X., W.J. Riley, C.D. Koven, G. Jia*, X. Zhang, 2020: Earlier leaf-out warms air in the north, Nature Climate Change, 10: 370-375, doi: 10.1038/s41558-020-0713-4.

5. Zhang, A., G. Jia*, 2020: ENSO-driven reverse coupling in interannual variability of pantropical water availability and global atmospheric CO2 growth rate, Environmental Research Letters 15(3): 034006, doi: 10.1088/1748-9326/ab66cc.

6. Meng, L., J. Mao, Y. Zhou, A.D. Richardson, X. Lee, P.E. Thornton, D.M. Ricciuto, X. Li, Y. Dai, X. Shi, and G. Jia, 2020: Urban warming advances spring phenology but reduces temperature response of plants in the conterminous United States, Proceedings of the National Academy of Sciences 117(8): 4228-4233.

7. Zhang, X., X. Xu, G. Jia, B. Poulter, Z. Zhang, 2020: Hiatus of wetland methane emissions associated with recent La Ni?a episodes in Asian Monsoon region. Climate Dynamics, 54: 4095–4107.

8. Wang, H., G. Jia, H.E. Epstein, H. Zhao, A. Zhang, 2020: Integrating a PhenoCam-derived vegetation index into a light use efficiency model to estimate daily GPP in a semi-arid grassland, Agricultural and Forest Meteorology, 288-289: 107982.

9. Zhang, A., G. Jia*, 2020: Satellite observed reversal in trends of tropical and subtropical water availability, International Journal of Applied Earth Observations and Geoinformation, doi: 10.1016/j.jag.2019.102015.

10. Jia, G., E. Shevliakova, P. Artaxo, N. De Noblet-Ducoudré, R. Houghton, J. House, K. Kitajima, C. Lennard, A. Popp, A. Sirin, R. Sukumar, L. Verchot, 2019: Land–climate interactions. In J. Skea, et al. (eds). IPCC Special report on climate change and land (SRCCL). Intergovernmental Panel on Climate Change, Geneva.

11. Jia, G., L. Zhang, X. Xu, L. Zhu, R. Xu, D. Liang, T. Bao, H. Guo, 2019: Digital Earth for climate change research. In H. Guo et al. (eds.), Manuel of digital Earth, Springer, Berlin. doi: 10.1007/978-981-32-9915-3_14.

12. Hu, Y., G. Jia*, M. Hou, C. Zhao, X. Zhen, Y. Xu, 2019: Comparison of surface and canopy urban heat island in mega-cities of eastern China, ISPRS Journal of Photogrammetry and Remote Sensing 156: 160-168, doi: 10.1016/j.isprsjprs.2019.08.012.

13. Shi, Z., G. Jia*, Y. Hu, Y. Zhou, 2019: The contribution of intensified urbanization effects on surface warming trend in China, Theoretical and Applied Climatology 138:1125–1137, doi: 10.1007/s00704-019-02892-y.

14. Zhao, H., G. Jia*, H. Wang, A. Zhang, X. Xu, 2019. Seasonal and interannual variations in carbon fluxes in East Asia semi-arid grasslands, Science of Total Environment 668: 1128-1138. doi: 10.1016/j.scitotenv.2019.02.378.

15. Zhang, A., G. Jia*, H. Wang, 2019: Improving meteorological drought monitoring capability over tropical and subtropical water limited ecosystems: Evaluation and ensemble of the Microwave Integrated Drought Index. Environmental Research Letters 14(4): 044025. doi: 10.1088/1748-9326/ab005e.

16. Ai, J., G. Jia*, H. Epstein, H. Wang, A. Zhang, Y. Hu, 2018: MODIS-based estimates of global terrestrial ecosystem respiration, Journal of Geophysical Research – Biogeosciences. 123: 326-352, doi: 10.1002/2017JG004107.

17. Qin, F., G. Jia*, J. Yang, 2019: Decadal decline of summer precipitation fraction observed in the field and from TRMM satellite data across the Mongolian Plateau, Theoretical and Applied Climatology 137(1): 1105-1115, doi: 10.1007/s00704-018-2655-6.

18. Sarmah, S., G. Jia*, A. Zhang, 2018: Satellite view of seasonal greenness trends and controls in South Asia, Environmental Research Letters 13: 034026, doi: 10.1088/1748-9326/aaa866.

19. Xu, X., W.J. Riley, C.D. Koven, G. Jia, 2018: Observed and simulated sensitivities of spring greenup to preseason climate, Journal of Geophysical Research - Biogeosciences. 123: 60-78, doi: 10.1002/2017JG004117.

20. Terry, J.P., G. Jia, R. Boldi, S. Khan, 2018: the Delhi ‘gas chamber’: smog, air pollution and the health emergency of November 2017, Weather, 73(11): 348-352, doi:10.1002/wea.3242.

21. Zhang, A., G. Jia*, H. Epstein, J. Xia, 2017: ENSO elicits opposing responses of semi-arid vegetation between Hemispheres, Scientific Reports 7, 42281, doi:10.1038/srep42281.

22. Ma, W., G. Jia*, A. Zhang, 2017: Multiple satellite-based analysis reveals complex climate effects of temperate forests and related energy budget, Journal of Geophysical Research – Atmospheres 122(7): 3806-3820, doi: 10.1002/2016/JD026278.

23. Schlaepfer, D.R., J.B. Bradford, W.K. Lauenroth, S.M. Munson, B. Tietjen, S.A. Hall, S.D.Wilson, M.C. Duniway, G. Jia, D.A. Pyke, A. Lkhagva, K. Jamiyansharav, 2017: Climate change reduces extent of temperate drylands and intensifies drought in deep soils, Nature Communications 8: 14196.

24. Tietjen, B., D.R. Schlaepfer, J.B. Bradford, W.K Lauenroth, S.A. Hall, M.C. Duniway, T. Hochstrasser, G. Jia, S.M. Munson, D.A. Pyke, S.D. Wilson, 2017: Climate change-induced vegetation shifts lead to more ecological droughts despite projected rainfall increases in many global temperate drylands, Global Change Biology 23(7): 2743–2754, doi: 10.1111/gcb.13598.

25. Jia, G., R. Xu, Y. Hu, Y. He, 2015: Multi-scale remote sensing estimates of urban fractions and road widths for regional models, Climatic Change 129 (3-4): 543-554, doi: 10.1007/s10584-014-1114-3.

26. Hu, Y., G. Jia, M. Hou, X. Zhang, F. Zheng, Y. Liu, 2015: The cumulative effects of urban expansion on land surface temperatures in metropolitan Jing-Jin-Tang, China. Journal of Geophysical Research – Atmospheres 120: 9932–9943, doi: 10.1002/2015JD023653.

27. Zhou, T., P. Shi, G. Jia, Y. Dai, X. Zhao, W. Shangguan, L. Du, H. Wu, Y. Luo, 2015: Age-dependent forest carbon sink: Estimation via inverse modeling, Journal of Geophysical Research – Biogeosciences 120: 2473-2492, doi: 10.1002/2015JG002943.

28. Hou, J. G. Jia*, T. Zhao, H. Wang, B. Tang, 2014, Satellite based estimation of daily average net radiation under clear sky conditions, Advances in Atmospheric Sciences 31(3): 705-720, doi: 10.1007/s00376-013-3047-6.

29. Zhang, L., H. Guo, G. Jia, B. Wylie, T. Gilmanov, et al. 2014, Net ecosystem productivity of temperate grasslands in northern China: an upscaling study, Agricultural and Forest Meteorology 184: 71-81.

30. Gao, H., G. Jia*, 2013, Assessing disagreement and tolerance of misclassification of satellite- derived land cover products used in WRF model applications. Advances in Atmospheric Sciences 30(1): 125-141.

31. He, Y., G. Jia*, Y. Hu, Z. Zhou, 2013, Detecting urban warming signals in climate records, Advances in Atmospheric Sciences, 30(4): 1143-1153.

32. Lu, W., G. Jia*, 2013, Fluctuation of farming-pastoral ecotone in association with changing East Asia monsoon climate, Climatic Change, 119(3): 747-760.

33. Wang, H., G. Jia*, 2013, Regional estimates of evapotranspiration over northern China with a remotely sensed triangle interpolation method, Advances in Atmospheric Sciences, 30(5): 1479-1490.

34. Zeng, H., G. Jia*, B. Forbes, 2013, Response of Arctic phenological shifts to climate and anthropogenic factors as detected from multi-satellite data. Environmental Research Letters 8: 035036.

35. Zeng, H., G. Jia*, 2013, Impacts of snow cover on vegetation phenology in the Arctic from satellite view. Advances in Atmospheric Sciences, 30(5): 1421-1432.

36. Zhang, A., G. Jia*, 2013, Monitoring meteorological drought in semiarid region using multi-sensor microwave remote sensing data, Remote Sensing of Environment 134: 12-23.

37. Jia, G., C. Fu, Y. Zhou, X. Li, 2012, Towards a Sustainable Asia: Environment and Climate Change, Springer-Verlag Berlin Heidelberg. 116 p. ISBN: 978-3-642-16671-6.

38. Wang, H., G. Jia*, 2012, Satellite based monitoring of decadal soil salinization and climate effects in semi-arid China, Advances in Atmospheric Sciences 29(5): 1089-1099.

39. Goetz, S.J., H.E. Epstein, U.S. Bhatt, G.J. Jia, et al., 2011, Recent Changes in Arctic Vegetation: Satellite Observations and Simulation Model Predictions, In: Eurasia Arctic land cover and land use in a changing climate, Springer. 9-36. DOI: 10.1007/978-90-481-9118-5_2.

40. Zeng, H., G. Jia*, H. Epstein, 2011, Recent changes in phenology over the northern high-latitudes detected from multi-satellite data, Environmental Research Letters 6(4): 045508.

41. Hu, Y., G. Jia*, 2010, Influence of land use change on urban heat island derived from multi-sensor data, International Journal of Climatology 30: 1382-1395.

42. Wang, H., G. Jia*, C. Fu, J. Feng, T. Zhao, Z. Ma, 2010, deriving maximal light use efficiency from coordinated flux measurements and satellite data for regional gross primary production modeling, Remote Sensing of Environment 114: 2248-2258.

43. Hu, Y., G. Jia*, H. Guo, 2009, Linking primary production, climate, and landuse along urban-wildland transect: A satellite view, Environmental Research Letters 4(4): 044009.

44. Jia, G.J., H.E. Epstein and D.A. Walker, 2009, Vegetation greening in the Canadian Arctic related to decadal warming, Journal of Environmental Monitoring 11: 2231-2238. doi: 10.1039/B911677J.

45. Romanovsky, V., R. Armstrong, A. Shiklomanov, D. Walker, G. Jia, 2008, Arctic land. [In: “State of the Climate in 2007”], Bulletin American Meteorological Society 89(7): S91-94.

46. Epstein, H.E., D.A. Walker, M.K. Raynolds, G.J. Jia, A.M. Kelley, 2008, Phytomass patterns across the full temperature gradient of the arctic tundra, Journal of Geophysical Research 113, G03S02, doi:10.1029/2007JG000555.

47. Jia, G.J., H.E. Epstein, D.A. Walker, 2006, Spatial heterogeneity of tundra vegetation response to recent temperature changes, Global Change Biology 12: 42-55.

48. Jia, G.J., I.C. Burke, A.F.H. Goetz, M.R. Kaufmann, B.C. Kindel, 2006. Assessing spatial patterns of forest fuel using AVIRIS data, Remote Sensing of Environment 102: 318-327.

49. Jia, G.J., I.C. Burke, M.R. Kaufmann, A.F.H. Goetz, B.C. Kindel, Y. Pu, 2006. Estimates of forest canopy fuel attributes using hyperspectral data. Forest Ecology and Management 229 (1): 27-38.

50. Chapin III, F.S., M. Sturm, M.C. Serreze, J.P. McFadden, J.R. Key, A.H. Lloyd, A.D. McGuire, T.S. Rupp, A.H. Lynch, J.P. Schimel, J. Beringer, W.L. Chapman, H.E. Epstein, E.S. Euskirchen, L.D. Hinzman, G. Jia, C.-L. Ping, K.D. Tape, C.D.C. Thompson, D.A. Walker, & J.M. Welker, 2005. Role of Terrestrial Ecosystem Changes in Arctic Summer Warming. Science 310: 657-660.

51. Jia, G. J., H. E. Epstein, D. A. Walker, 2003, Greening of Arctic Alaska, 1981-2001. Geophysical Research Letters 30 (20): 2067, doi: 10.1029/2003GL018268.

52. Jia, G. J., H. E. Epstein, D. A. Walker, 2004. Controls over intra-seasonal dynamics of AVHRR-NDVI for the Arctic tundra in northern Alaska. International Journal of Remote Sensing 25(9): 1547-1564.

53. Walker, D. A., H. E. Epstein, G. J. Jia, A. Balsar, C. Copass, E. J. Edwards, W. A. Gould, J. Hollingsworth, J. Knudson, H. Meier, A. Moody, and M. K. Raynolds, 2003. Phytomass, LAI, and NDVI in northern Alaska: relationships to summer warmth, soil pH, plant functional types and extrapolation to the circumpolar Arctic. Journal of Geophysical Research Vol. 108, No. D2, 8169, doi: 10.1029/2001D000986.

54. Jia, G. J., H. E. Epstein, D. A. Walker, 2002. Spatial characteristics of AVHRR-NDVI along latitudinal transects in northern Alaska. Journal of Vegetation Science 13: 315-326.

55. Epstein, H.E., R.A. Gill, J.M. Paruelo, G.J. Jia, W.K. Lauenroth and I.C. Burke, 2002. The relative aboundance of plant functional types in temperate grasslands and shrublands of North and South America: Effects of projected climate change. Journal of Biogeography 29: 875-888.

56. 贾根锁，2020: IPCC《气候变化与土地特别报告》对陆气相互作用的新认知. 气候变化研究进展, 16(1):9-16.

57. 郑江珊，徐希燕，贾根锁*，吴文瑾，2020：基于多遥感产品和地面观测的北极苔原春季返青期特征研究，中国科学：地球科学, 50(11): 1618-1632.

58. 赵卉忱，贾根锁*，王鹤松，张安治，徐希燕，2020：中国半干旱区草甸草原和典型草原碳通量日变化特征，气候与环境研究, 25(2): 172-184.

59. 秦福莹, 贾根锁*, 杨劼, 那音太, 侯美亭, 包玉海, 2018: 基于TRMM卫星数据的蒙古高原降水精度评估与季节分布特征, 干旱区研究 35(2): 395-403.

60. 陈洪萍，贾根锁*，冯锦明，张安治，董燕生，2014，准全球陆表干旱严重程度的多传感器遥感监测方法研究，大气科学 38 (5): 939?949.

61. 陈洪萍，贾根锁*，冯锦明，董燕生，2014，气候模式中关键陆面植被参量遥感估算的研究进展，地球科学进展 29(1): 56-67.

62. 王鹤松, 贾根锁*, 符淙斌, 冯锦明, 赵天保, 马柱国, 2010, 我国北方地区植被总初级生产力的空间分布与季节变化, 大气科学, 34(5): 882-890.

63. 周涛，史培军，贾根锁，李秀娟，Yiqi Luo，2009, 中国森林生态系统碳周转时间的空间格局，中国科学: 地球科学，40(5): 632-644.

承担科研项目情况

1. 国家自然科学基金重点国际合作研究项目- INFEWS:US-China: 城镇化和气候变化背景下区域食品-能源-水资源耦合体的可持续性研究，2018-2022，项目负责

    人.

2. 中国科学院战略先导专项“地球大数据科学工程”(CASEarth) - 一带一路气候变化和灾害风险(XDA19030400)，2018-2022，课题负责人.

3. 自然科学基金面上项目—城市群建成区变化对台站温度记录影响的多源遥感研究，国家自然科学基金委员会，2017-2020，项目负责人.

4. 中科院国际合作重点项目—高亚洲气候和冰雪变化对“一带一路”区域生态水文影响，2016-2020，专题负责人.

5. 科技部全球变化研究计划项目—全球典型干旱半干旱地区年代尺度气候变化机理及其影响研究，2012-2016，专题负责人.

6. 全球变化亚太研究网络(APN)项目—生态系统与气候变化国际培训，2014-2015，项目负责人.

7. 自然科学基金项目—北极植被-气候变化的星地集成观测和分析，国家自然科学基金委员会，2012-2015，项目负责人.

8. 中科院战略先导专项-应对气候变化的碳收支认证及相关问题, 2011-2015, 课题负责人.

9. 科技部973项目-空间观测全球变化敏感因子的机理与方法, 2009-2013, 课题负责人.

10. 财政部科学仪器修购专项-中国东部半干旱区气候与环境综合观测平台, 2010-2011，联合项目负责人.

11. Greening of the Arctic: Synthesis and models to examine pan-Arctic vegetation change: climate, sea-ice, and terrain linkages, 2005-2008, NSF

       ARCSS Program.

12. Application of Remotely Sensed Imagery to Assessing the Probabilities and Carbon Consequences of Fire, 2003-2005, NASA.

13. Synthesis Study of Arctic Transitions in the Land-Atmosphere System. 2002-2003. NSF.