[1] Scanlon, B. R., Zhang, Z., Rateb, A., Sun, A., Wiese, D., Save, H., et al. (2019). Tracking seasonal fluctuations in land water storage using global models and GRACE satellites. Geophysical Research Letters, 46. https://doi.org/10.1029/2018GL081836
[2] Sun, A. Y., Scanlon, B. R., Zhang, Z., Walling, D., Bhanja, S. N., Mukherjee, A., & Zhong, Z. (2019). Combining physically based modeling and deep learning for fusing GRACE satellite data: Can we learn from mismatch? Water Resources Research, 55. https://doi.org/10.1029/2018WR023333
[3] Bridget R. Scanlon, Zizhan Zhang, Himanshu Save, Alexander Y. Sun, Hannes Müller Schmied, etc (2018), Global Models Underestimate Extremes in Water Storage Trends Relative to GRACE Satellite Data, Proceedings of the National Academy of Sciences (PNAS), 115 (6) E1080-E1089.
[4] Zhang, Z.Z., Ben F. Chao, Jianli Chen, Clark R. Wilson (2015), Terrestrial Water Storage Anomalies of Yangtze River Basin Droughts Observed by GRACE and Connections with ENSO, Global and Planetary Change, 126:35-45, doi:10.1016/j.gloplacha.2015.01.002
[5] Zhang, Z.Z., B. F. Chao, Y. Lu, and H.-T. Hsu (2009), An effective filtering for GRACE time-variable gravity: Fan filter, Geophys. Res. Lett., 36, L17311, doi:10.1029/2009GL039459.
[6] Zhang Z.Z., Lu Y., Hsu H.Z. Detecting geostrophic currents using wavelet filter from satellite geodesy, Science in China Ser. D Earth Science, 2007, 50(6): 918-926.
[7] Zhang Z.Z., Lu Y, Hsu H Z. Maximum entropy spectral analysis and wavelet coherence analysis of the dynamic ellipticity of the earth from GRACE and SLR measurements. Chinese J. Geophys. (in Chinese), 2007, 50(5): 1383~1389 [8] Zhang Z.Z., LU Y., Spectral analysis of quasi-stationary sea surface topography from GRACE mission, Science in China Ser. D Earth Science, 2005, Vol.48 No.11: 2040-2048.
[9] Scanlon, B. R., Z.Z. Zhang, R. C. Reedy, D. R. Pool, H. Save, D. Long, J. Chen, D. M. Wolock, B. D. Conway, and D. Winester (2015), Hydrologic implications of GRACE satellite data in the Colorado River Basin, Water Resour. Res., 51(12):9891-9903. doi:10.1002/2015WR018090.
[10] Scanlon, B. R., Z. Z. Zhang, H. Save, D. N. Wiese, F. W. Landerer, D. Long, L. Longuevergne, J. L. Chen (2016), Global Evaluation of New GRACE Mascons Products for Hydrologic Applications, Water Resour. Res., 52(12), p9412–9429, doi:10.1002/ 2016WR019494.
[11] Sun Y. Alexander, B. R. Scanlon, Amir AghaKouchak, Z.Z Zhang (2017), Use of GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes, Remote Sensing, 9(12), 1287
[12] Xi, H., Zhang, Z.*, Lu, Y., & Li, Y. (2019). Mass sea level variation in the south china sea from grace, altimetry and model and the connection with ENSO. Advances in Space Research, 64 (1), 117–128.
[13] Xi, H.; Zhang, Z.; Lu, Y., and Li, Y., 2019. Long-term and interannual variation of the steric sea level in the South China Sea and the connection with ENSO. Journal of Coastal Research, 35(3), 489–498.
[14] Chunchun Gao, Yang Lu, Zizhan Zhang, Hongling Shi: A Joint Inversion Estimate of Antarctic Ice Sheet Mass Balance Using Multi-Geodetic Data Sets. Remote Sensing, 11(6): 653 (2019).
[16] Melo, D. D. C. D., Scanlon, B. R., Zhang, Z., Wendland, E., and Yin, L.: Reservoir storage and hydrologic responses to droughts in the Paraná River basin, south-eastern Brazil (2016), Hydrol. Earth Syst. Sci., 20(11), 4673-4688, https://doi.org/10.5194/hess-20-4673-2016
[17] Zhang Z.Z., Y. Lu, H Z Hsu. Detecting Ocean Currents from Satellite Altimetry, Satellite Gravity and Ocean Data. Joint Assembly of International Associations: IAG, IAPSO and IABO. 2006, 17~22 (ISTP)
[18] Zhang Z.Z., Y. Lu. Spectral Analysis of Mean Dynamic Ocean Topography From the GRACE GGM01C Geoid. International Association of Geodesy (IAG) Symposia, 2004, Vol.129, 236-241 (ISTP)
[19] Chao, B. F., Y. H. Wu, Z. Z. Zhang, and R. Ogawa (2011), Gravity bariation in Siberia: GRACE observation and possible causes. Terr. Atmos. Ocean. Sci., Vol. 22(2), 149-155, doi: 10.3319/TAO.2010.07.26.03(TibXS), (Corresponding author)
[20] Zhu C, Yang L, Shi H, Z. Zhang. Spatial and temporal patterns of the inter-annual oscillations of glacier mass over Central Asia inferred from Gravity Recovery and Climate Experiment (GRACE) data. Journal of Arid Land, 2017(1):87-97.
[21] Davi C. D. Melo, Bridget R. Scanlon, Zizhan Zhang, Edson Wendland, and Lei Yin (2016). Reservoir storage and hydrologic responses to droughts in the Paraná River Basin, Southeast Brazil, Hydrology and Earth System Sciences, 1-19
[22] Chen J. L., C. R. Wilson, Jin Li, Zizhan Zhang (2015), Reducing leakage error in GRACE-observed long-term ice mass change: a case study in West Antarctica, Journal of Geodesy, 89: 925-940, doi: 10.1007/s00190-015-0824-2
[23] Chen J. L, J. Li, Z. Z. Zhang, S. N. Ni (2014), Long-Term Groundwater Variations in Northwest India From Satellite Gravity Measurements, Global and Planetary Change, 116: 130-138, http://dx.doi.org/10.1016/j.gloplacha.2014.02.007
[24] GAO Chun-Chun, LU Yang, ZHANG Zi-Zhan, SHI Hong-Ling, ZHU Chuan-Dong. 2015. Ice sheet mass balance in Antarctica measured by GRACE and its uncertainty. Chinese J. Geophysics, 58(3): 780-792, doi: 10.6038/cjg20150308 [25] ZHU Chuan-Dong, LU Yang, SHI Hong-Ling, ZHANG Zi-Zhan, DU Zong-Liang, GAO Chun-Chun. 2015. Trends of glacial mass changes in High Asia from satellite gravity observations. Chinese J. Geophysics, 58(3): 793-801, doi: 10.6038/cjg20150309.
[26] JU Xiao-Lei, SHEN Yun-Zhong, ZHANG Zi-Zhan. Antarctic ice mass change analysis based on GRACE RL05 data. Chinese Journal Geophysics (in Chinese), 2013, 56(9): 2918-2927, doi: 10.6038/cjg20130906
[27] Shi H.L, Lu Y., Z. L. Du, L.L. Jia, Z. Z. Zhang, and C. X. Zhou (2011), Mass change detection in Antarctici ice sheet using ICESat block analysis techniques from 2003~2008. Chinese J. Geophys. (in Chinese), 2011, 54(4): 958~965, doi:10.3969/j.issn.0001- 5733.2011.04.010
[28] Gao Chun-Chun, Lu Yang, Zhang Zi-Zhan, et al.(2014), Evaluation and analysis of GOCE earth gravity field model in Qinghai-Tibet region, Acta Geodaetica et Cartographica Sinica, 43(1): 21-29, DOI:10.13485/j.cnki.11-2089.2014.0004
人才隊伍