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42. Chai, Y., Yue, Y.*, Slater, L. J., Yin, J., Borthwick, A. G., Chen, T., and Wang, G. (2022). Constrained CMIP6 projections indicate less warming and a slower increase in water availability across Asia. Nature communications, 13(1), 1-9.
41. Chen, T.*, Dolman, H., Sun, Z., Gao, H., Miao, L., Wei, X., Li, C., Han, Q., Shi, T., Wang. G., Zhou. S., Liang, C., and Chen. X. (2022): Land management explains the contrasting greening pattern across China-Russia border based on Paired Land Use Experiment approach, JGR-Biogeosciences, 127, e2021JG006659.
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40. Zhou, S., Chen, T.*, Zeng, N., Cai, Q.*, Fang Zhao, F., Han, P., and Yan. Q. (2022): The Impact of Cropland Abandonment of Post-Soviet Countries on the Terrestrial Carbon Cycle Based on Optimizing the Cropland Distribution Map, Biology, 11, no. 5: 620. https://doi.org/10.3390/biology11050620
39. Chen, T.*, Guo, R., Yan, Q., Xin Chen, Zhou, S., Chen, X., Liang, C., Wei, X., and Dolman, H.(2022): Land Management Contributes significantly to observed Vegetation Browning in Syria during 2001–2018, Biogeosciences, 19, 1515–1525. https://doi.org/10.5194/bg-19-1515-2022
38. Xie, Y., Su, Y., Gu, X., Chen, T., Shao, W., & Hu, Q. (2022). Columnar Aerosol Optical Property Characterization and Aerosol Typing Based on Ground-Based Observations in a Rural Site in the Central Yangtze River Delta Region. Remote Sensing, 14(2), 406. https://doi.org/10.3390/rs14020406
37. Cai, J., Chen, T.*, Yan, Q., Chen, X., & Guo, R. (2022). The Spatial-Temporal Characteristics of Soil Moisture and Its Persistence over Australia in the Last 20 Years. Water, 14(4), 598. https://doi.org/10.3390/w14040598
36. 张林林,梁传壮,马海云,陈鑫,蔡江涛,郭仁杰,陈铁喜*.土地管理对植被变绿的潜在贡献——以中国东北农业区为例[J].生态学报,2022,42(02):720-731. http://dx.doi.org/10.5846/stxb202011192977
35. Lu, J., Wang, G., Chen, T., Li, S., Hagan, D. F. T., Kattel, G., Peng, J., Jiang, T., and Su, B. (2021): A harmonized global land evaporation dataset from model-based products covering 1980–2017, Earth Syst. Sci. Data, 13, 5879–5898, https://doi.org/10.5194/essd-13-5879-2021, 2021. https://doi.org/10.5194/essd-13-5879-2021
34. Chen, X., Chen, T.*, Shu, Y.*, Yan, Q., Han, Q., Wei, X., et al. (2021). A framework to assess the potential uncertainties of three FPAR products. Journal of Geophysical Research: Biogeosciences, 126, e2021JG006320. https://doi.org/10.1029/2021JG006320
33. Chen, X; Chen, T*; Yan, Q.; Cai, J.; Guo, R.; Gao, M.; Wei, X.; Zhou, S.; Li, C.; Xie, Y (2021). The Ongoing Greening in Southwest China despite Severe Droughts and Drying Trends. Remote Sensing, 13, 3374. https://doi.org/10.3390/rs13173374
32. Yan, Q., Hu, T., Jin, S., Huang, W., Jia, Y., Chen, T., & Wang, J. (2021). Improving CyGNSS-Based Land Remote Sensing: Track-Wise Data Calibration Schemes. Remote Sensing, 13(14), 2844. https://doi.org/10.3390/rs13142844
31. Shi, X., Wang, G., Chen, T., Li, S., Lu, J., & Hagan, D. F. T. (2021). Long‐term changes in layered soil temperature based on ground measurements in Jiangsu Province, China. International Journal of Climatology, 41(5), 2996-3009. https://doi.org/10.1002/joc.7001
30. Wang, J., Wang, M., Kim, J.-S., Joiner, J., Zeng, N., Jiang, F., Wang, H., He, W., Wu. M., Chen, T., Ju. W., Chen. J. (2021). Modulation of land photosynthesis by the Indian Ocean Dipole: Satellite-based observations and CMIP6 future projections. Earth's Future, 9, e2020EF001942. https://doi.org/10.1029/2020EF001942
29. Wei, X., Li, Y., Guo, Y., Chen, T., & Li, B. (2021). Spatio-temporal analysis of cropland change in the Guanzhong area, China, from 1650 to 2016. Journal of Geographical Sciences, 31(9), 1381-1400. https://doi.org/10.1007/s11442-021-1902-4
28. Wei, X., Widgren, M., Li, B., Ye, Y., Fang, X., Zhang, C., & Chen, T. (2021). Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia. Earth System Science Data, 13(6), 3035-3056. https://doi.org/10.5194/essd-13-3035-2021
27. 张林林, 陈铁喜*(2021).1989—2018年京津冀地区人体舒适度的变化特征[J].天津师范大学学报(自然科学版), 41(04):53-60. https://doi.org/10.19638/j.issn1671-1114.20210408
26. 马海云,张林林,魏学琼,施婷婷,陈铁喜*.2000—2015年西南地区土地利用与植被覆盖的时空变化[J].应用生态学报,2021,32(02):618-628. https://doi.org/10.13287/j.1001-9332.202102.017
25. 蔡江涛,陈铁喜,姜建武,胡垚,潘文宇.基于空间点模式的桂林市星级酒店空间分布特征研究[J].福建师范大学学报(自然科学版),2021,37(04):77-86. https://doi.org/10.12046/j.issn.1000-5277.2021.04.011
24. Chai, Y., Martins, G., Nobre, C., von Randow, C., Chen, T., & Dolman, H. (2021). Constraining Amazonian land surface temperature sensitivity to precipitation and the probability of forest dieback. npj Climate and Atmospheric Science, 4(1), 1-7. https://doi.org/10.1038/s41612-021-00162-1
23. Chen, T.*; Zhou, S.; Liang, C.; Hagan, D.F.T.; Zeng, N.; Wang, J.; Shi, T.; Chen, X.; Dolman, A(2020). The Greening and Wetting of the Sahel Have Leveled off since about 1999 in Relation to SST. Remote Sensing, 12, 2723. https://doi.org/10.3390/rs12172723
22. Wei, X., Wang, G., Chen, T., Hagan, D.F.T., Ullah, W. A Spatio-Temporal Analysis of Active Fires over China during 2003–2016. Remote Sens. 2020, 12, 1787. https://doi.org/10.3390/rs12111787
21. Yue, S., Chen, M., Song, J., Yuan, W., Chen, T., Lü, G., ... & Song, H. (2020). Participatory intercomparison strategy for terrestrial carbon cycle models based on a service-oriented architecture. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2020.05.044
20. 朱浩朋,伍玉梅,陈铁喜*(2020).基于MODIS数据的洞庭湖水域面积变动研究[J].渔业信息与战略,35(02):147-153. https://doi.org/10.13233/j.cnki.fishis.2020.02.009
19. 蔡江涛,付波霖,陈铁喜,耿仁方,李颖,何宏昌,范冬林,邓腾芳(2020).基于Sentinel-2卫星多光谱数据的会仙喀斯特湿地植物理化参数反演研究[J].湿地科学,18(06):693-705. https://doi.org/10.13248/j.cnki.wetlandsci.2020.06.008
18. Miao, L., Li, S., Zhang, F., Chen, T., Shan, Y., & Zhang, Y. Future drought in the drylands of Asia under the 1.5° C and 2.0° C warming scenarios. Earth's Future, e2019EF001337. https://doi.org/10.1029/2019EF001337
17. Liang, C., Chen, T.*, Dolman, H., Shi, T.*, Wei, X., Xu, J., & Hagan, D. F. T. (2020). Drying and Wetting Trends and Vegetation Covariations in the Drylands of China. Water, 12(4), 933. https://doi.org/10.3390/w12040933
16. 张慧娴, 陈铁喜*, 江晓东, 施婷婷, & 王国杰. (2019). 中国东部两熟制农田 NDVI 不对称年际变化趋势及其潜在气候成因. 江苏农业科学, (8), 57. https://doi.org/10.15889/j.issn.1002-1302.2019.08.057
15. Wang, G., Gong, T., Lu, J., Lou, D., Hagan, D. F. T., & Chen, T. (2018). On the long‐term changes of drought over China (1948–2012) from different methods of potential evapotranspiration estimations. International Journal of Climatology, 38(7), 2954-2966. https://doi.org/10.1002/joc.5475
14. Chen, T.*, Zhang, H., Chen, X., Hagan, D.F., Wang, G., Gao, Z., & Shi, T. (2017). Robust drying and wetting trends found in regions over China based on Köppen climate classifications. Journal of Geophysical Research: Atmospheres, 122, 4228-4237, https://doi.org/10.1002/2016JD026168
13. Wang, G., Hagan, D.F.T., Lou, D., & Chen, T. (2016). Evaluation of soil moisture derived from FY3B microwave brightness temperature over the Tibetan Plateau. Remote Sensing Letters, 7, 817-826. https://doi.org/10.1080/2150704X.2016.1192303
12. Chen, T.*, McVicar, T.R., Wang, G., Chen, X., de Jeu, R.A., Liu, Y.Y., Shen, H., Zhang, F., & Dolman, A.J. (2016b). Advantages of Using Microwave Satellite Soil Moisture over Gridded Precipitation Products and Land Surface Model Output in Assessing Regional Vegetation Water Availability and Growth Dynamics for a Lateral Inflow Receiving Landscape. Remote Sensing, 8, 428. https://doi.org/10.3390/rs8050428
11. Chen, T., Wang, G.*, Yuan, W., Li, A., & Liu, Y.Y. (2016a). Asymmetric NDVI trends of the two cropping seasons in the Huai River basin. Remote Sensing Letters, 7, 61-70. https://doi.org/10.1080/2150704X.2015.1109156
10. Shen, L., Wu, H., Gao, Z., Xu, X., Chen, T., Liu, S., & Cheng, H. (2015). Occurrence and importance of anaerobic ammonium-oxidising bacteria in vegetable soils. Applied Microbiology and Biotechnology, 99, 5709-5718. https://doi.org/10.1007/s00253-015-6454-z
9. Chen, T.*, van der Werf, G., Gobron, N., Moors, E., & Dolman, A. (2014b). Global cropland monthly gross primary production in the year 2000. Biogeosciences, 11, 3871-3880. https://doi.org/10.5194/bg-11-3871-2014
8. Chen, T.*, de Jeu, R., Liu, Y., van der Werf, G., & Dolman, A. (2014a). Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia. Remote Sensing of Environment, 140, 330-338. https://doi.org/10.1016/j.rse.2013.08.022
7. Chen, T., Werf, G., Jeu, R., Wang, G., & Dolman, A.* (2013). A global analysis of the impact of drought on net primary productivity. Hydrology and Earth System Sciences, 17, 3885-3894. https://doi.org/10.5194/hess-17-3885-2013
6. Dolman, A., Shvidenko, A., Schepaschenko, D., Ciais, P., Tchebakova, N., Chen, T., Van Der Molen, M., Belelli Marchesini, L., Maximov, T., & Maksyutov, S. (2012). An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods. Biogeosciences, 9, 5323-5340. DOI:10.5194/bg-9-5323-2012
5. Chen, T.*, van der Werf, G.R., Dolman, A., & Groenendijk, M. (2011). Evaluation of cropland maximum light use efficiency using eddy flux measurements in North America and Europe. Geophysical Research Letters, 38. https://doi.org/10.1029/2011GL047533
4. Dong, Q., Chen, X., & Chen, T. (2011). Characteristics and Changes of Extreme Precipitation in the Yellow-Huaihe and Yangtze-Huaihe Rivers Basins, China. Journal of Climate, 24, 3781-3795. DOI:10.1175/2010JCLI3653.1
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2. 董全, 陈星, 陈铁喜, & 程兴无 (2009). 淮河流域极端降水与极端流量关系的研究. 南京大学学报自然科学, 45, 790-801.
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