2022年
Guo X, Zhang Y, Zhou H, et al. (2022) Enhanced orbit determination for formation-flying satellites based on M-estimation. advances in space research, 70(4): 923-934. doi: 10.1016/j.asr.2022.05.043.
Liu L, Jiang L, Wang H, et al. (2022) Existence of Glacier Anomaly in the Interior and Northern Tibetan Plateau between 2000 and 2012. Remote Sensing, 14(13): 2962.
Shang P, Su X, Luo Z (2022) Characteristics of the Greenland Ice Sheet Mass Variations Revealed by GRACE/GRACE Follow-On Gravimetry. Remote Sensing, 14(18): 4442.
Wei M, Zhou H, Luo Z, et al. (2022) Tracking inter-annual terrestrial water storage variations over Lake Baikal basin from GRACE and GRACE Follow-On missions. Journal of Hydrology: Regional Studies, 40. doi: 10.1016/j.ejrh.2022.101004.
Yang F, Luo Z, Zhou H, et al. (2022) On study of the Earth topography correction for the GRACE surface mass estimation. Journal of Geodesy, 96(12). doi: 10.1007/s00190-022-01683-0.
Zhou H, Dai M, Wang P, et al. (2022) Assessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in Africa. Frontiers in Earth Science, 9. doi: 10.3389/feart.2021.796723.
2020年
1. Zhou, H., Zhou, Z., Luo, Z., Wang, K., & Wei, M. (2020). What can be expected from GNSS tracking of satellite constellations for temporal gravity field model determination? Geophysical Journal International, 222(1): 661–677.https://doi.org/10.1093/gji/ggaa177
2. Lu, B., Förste, C., Barthelmes, F., Petrovic, S., Flechtner, F., Luo, Z., Zhong, B., Zhou, H., Wang, X., Wu, T. (2020). Using real polar ground gravimetry data to solve the GOCE polar gap problem in satellite-only gravity field recovery. Journal of Geodesy, 94, 34.https://doi.org/10.1007/s00190-020-01361-z
3. 范雕,李姗姗,杨军军,孟书宇,邢志斌,张驰,冯进凯(2020).利用多元回归分析反演西南印度洋区域海底地形.测绘学报, 49(2), 147-161. DOI: 10.11947/j.AGCS.2020.20180526
4. Fan, D., Li, S., Meng, S., Lin, Y., Xing, Z., Zhang, C., Yang, J., Wan, X., & Qu, Z. (2020). Applying iterative method to solving high-order terms of seafloor topography. Marine Geodesy, 43(1), 63-85.https://doi.org/10.1080/01490419.2019.1670298
5. Liu, L., Jiang, L., Zhang, Z., Wang, H., & Ding, X.(2020). Recent accelerating glacier mass loss of the Geladandong mountain, inner Tibetan Plateau, estimated from ZiYuan-3 and TanDEM-X measurements. Remote Sensing, 12: 472.https://doi.org/10.3390/rs12030472
6. 孙石达,杜劲松,陈超,李端(2020).基于等效源的总强度磁异常非线性处理方法.地球物理学报,63(1):351-361.https://doi.org/10.6038/cjg2020M0325
2019年
1. Zhou, H., Zhou, Z., & Luo, Z. (2019). A new hybrid processing strategy to improve temporal gravity field solution. Journal of Geophysical Research: Solid Earth, 124, 9415–9432.https://doi.org/10.1029/2019JB017752
2. Liu, L., Jiang, L., Jiang, H., Wang, H., Ma, N., Xu, H. (2019). Accelerated glacier mass loss (2011-2016) over the Puruogangri ice field in the inner Tibetan Plateau revealed by bistatic InSAR measurements. Remote Sensing of Environment, 231, 111241.https://doi.org/10.1016/j.rse.2019.111241
3. D. S. MacMillan, A. Fey, J. M. Gipson, D. Gordon, C. S. Jacobs, H. Krásná, S. B. Lambert, Z. Malkin, O. Titov, G. Wang and M. H. Xu. (2019). Galactocentric acceleration in VLBI analysis: Findings of IVS WG8.Astronomy and Astrophysics, 630, A93.https://doi.org/10.1051/0004-6361/201935379
4. Wan, J., Xu, C., Luo, Z., Wu, Y., Zhou, B., Yan, J. (2019). An approach to Moho topography recovery using the on-orbot GOCE gravity gradients and its applications in Tibet.Remote sensing, 11, 1567.https://doi.org/10.3390/rs11131567
5. Xu, M., Anderson, J., Heinkelmann, R., et al. (2019). Structure effects for 3417 celestial reference frame sources.the astrophysical journal supplements, 242, 1.https://doi.org/10.3847/1538-4365/ab16ea
6. 王锦清,徐明辉,熊亮,虞林峰,刘庆会,陆波,王广利(2019).嫦娥四号中继星4.2 m天线在轨指向标定.中国科学:物理学力学天文学, 49: 129501,https://doi.org/10.1360/SSPMA-2019-0063
7. 柳林,江利明,相龙伟,汪汉胜,孙亚飞,许厚泽(2019).青藏高原色林错流域区冰川消融对湖泊水量变化的影响.地球物理学报,62(5): 1603-1612.https://doi.org/10.6038/cjg2019M0273
8. 姚朝龙,李琼,罗志才,王长委,张瑞,周波阳(2019).利用广义三角帽方法评估GRACE反演中国大陆地区水储量变化的不确定性.地球物理学报, 62(3): 883-897.http://doi.org/10.6038/cjg2019L0454
9. Wang, X., Luo, Z., Zhong, B. (2019). Separation and Recovery of Geophysical Signals Based on the Kalman Filter with GRACE Gravity Data. Remote Sensing, 11(4): 393.http://doi.org/10.3390/rs11040393
10. Sun, S., Chen, C., Liu, Y. (2019). Constrained 3D inversion of magnetic data with structural orientation and borehole lithology: A case study in the Macheng iron deposit, Hebei, China.Geophysics, 84(2): B121-B133. https://doi.org/10.1190/geo2018-0257.1
11. Zhou, H., C. Xu, Z. Luo, Z. Zhou, B. Zhong, and J. Wan (2019). HUST-GOGRA2018s: A new gravity field model derived from the combination of GRACE and GOCE data.Terrestrial Atmospheric and Oceanic Sciences,30 (1): 97-109.https://doi.org/10.3319/TAO.2018.11.02.01
12. Liu, L., Jiang, L., Sun, Y., et al. (2019). Diurnal fluctuations of glacier surface velocity observed with terrestrial radar interferometry at Laohugou No.12 Glacier, western Qilian mountains, China.Journal of Glaciology, 1-10. https://doi.org/10.1017/jog.2019.1
13. A. Groh, M. Horwath, A. Horvath, R. Meister, L.S. Sorensen, V.R. Barletta, R. Forsberg, B. Wouters, P. Ditmar, J. Ran, R. Klees, X. Su, K. Shang, J. Guo, C.K. Shum, E. Schrama and A. Shepherd. (2019). Evaluating GRACE mass change time series for the Antarctic and Greenland Ice Sheet - Methods and results. Geosciences, 9, 415.https://doi.org/10.3390/geosciences9100415
14. Chao, N., Chen, G., Luo, Z., Su, X., Wang, Z., Li, F. (2019). Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data. Sensors, 19, 1510.https://doi.org/10.3390/s19163510
15. Huang, B., Liu, J., Sun, W., Yang, F. (2019). A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information. Sensors 2019, 19, 3487.https://doi.org/10.3390/s19163487
16. Yang, F., Xiong, J., Liu, J., Wang, C., Li, Z., Tong, P., Chen, R. (2019). A Pairwise SSD Fingerprinting Method of Smartphone Indoor Localization for Enhanced Usability. Remote Sens., 11, 566
17. Wang, H., Gurnis, M., Skogseid, J. (2019). Continent-wide drainage reorganization in North America driven by mantle flow. Earth and Planetary Science Letters, Volume 530, 115910, ISSN 0012-821X. https://doi.org/10.1016/j.epsl.2019.115910.
18. Lu, B., Barthelmes, F., Li, M., Förste, C., Ince, E.S., Petrovic, S., Flechtner, F., Schwabe, J., Luo, Z., Zhong, B., He, K. (2019). Shipborne gravimetry in the Baltic Sea: data processing strategies, crucial findings and preliminary geoid determination tests. Journal of Geodesy, 93:1059–1071.https://doi.org/10.1007/s00190-018-01225-7
19. 姚朝龙,罗志才,胡月明,王长委,张瑞,李金明(2019).利用GPS垂向位移监测西南地区干旱事件.测绘学报,48(5):547-554. DOI:10.11947/j.AGCS.2019.20180308
20. Lijie He, Ying Liu, Peipei He, Hao Zhou (2019). Relationship between Air Pollution and Urban Forms: Evidence from Prefecture-Level Cities of the Yangtze River Basin. Int. J. Environ. Res. Public Health, 16 (18), 3459.https://doi.org/10.3390/ijerph16183459
21. Lijie He, Aiwen Lin, Xinxin Chen, Hao Zhou, Zhigao Zhou, Peipei He (2019). Assessment of MERRA-2 Surface PM2.5 over the Yangtze River Basin: Ground-based Verification, Spatiotemporal Distribution and Meteorological Dependence. Remote Sensing, 11 (4), 460.https://doi.org/10.3390/rs11040460
22. Roland Pail, Hsien-Chi Yeh, Wei Feng, Markus Hauk, Anna Purkhauser, Changqing Wang, Min Zhong, Yunzhong Shen, Qiujie Chen, Zhicai Luo, Hao Zhou, Bingshi Liu, Yongqi Zhao, Xiancai Zou, Xinyu Xu, Bo Zhong, Roger Haagmans,Houze Xu (2019). Next-Generation Gravity Missions: Sino-European Numerical Simulation Comparison Exercise. Remote Sensing, 11 (22), 2654.https://doi.org/10.3390/rs11222654
2018年
1. Xu, C., Wang, H., Luo, Z., Liu, H., Liu, X. (2018). Insight into urban faults by wavelet multi-scale analysis and modeling of gravity data in Shenzhen, China.Journal of Earth Science, 29 (6): 1340-1348.https://doi.org/10.1007/s12583-017-0770-4
2. Wu, Y., Luo, Z., Zhong, B., Xu, C (2018). A multilayer approach and its application to model a local gravimetric quasi-geoid model over the North Sea: QGNSea V1.0.Geoscientific Model Development, 11:4797-4815.https://doi.org/10.5194/gmd-11-4797-2018
3. Zhou, H., Luo, Z., Zhou, Z., Li, Q., Zhong, B., Hsu, H. (2018). Impacts of different kinematic empirical parameters processing strategies on temporal gravity field model determination.Journal of Geophysical Research: Solid Earth, 123. http://doi.org/10.1029/2018JB015556
4. Chao, N., Luo, Z., Wang, Z., Jin, T. (2018). Retrieving Groundwater depletion and drought in the Tigris-Euphrates Basin between 2003 and 2015.Groundwater, 56(5): 770-782.http://doi.org/10.1111/gwat.12611
5. Yu, Y., Chao, B.F., Garcia-Garcia, D., Luo, Z. (2018). Variations of the Argentine Gyre Observed in the GRACE Time‐Variable Gravity and Ocean Altimetry Measurements.Journal of Geophysical Research: Ocean, 123:5375-5387. https://doi.org/10.1029/2018JC014189
6. Yang, J., Jekeli, C., Liu, L. (2018). Seafloor Topography Estimation From Gravity Gradients Using Simulated Annealing.Journal of Geophysical Research: Solid Earth, 123:6958-6975.http://doi.org/10.1029/2018JB015883
7. Li, Q., Luo, Z., Zhong, B., Zhou, H. (2018). An improved approach for evapotranspiration estimation using water balance equation: case study of Yangtze River Basin.Water, 10, 812.http://doi.org/10.3390/w10060812
8. Zhang, Z., Jiang, L., Liu, L., Sun, Y., Wang, H. (2018). Annual Glacier-Wide Mass Balance (2000–2016) of the Interior Tibetan Plateau Reconstructed from MODIS Albedo Products.Remote Sensing, 10, 1031.http://doi.org/10.3390/rs10071031
9. Wu, Y., Zhong, B., Luo, Z. (2018). Investigation of the Tikhonov regularization method in regional gravity field modeling by Poisson wavelets radial basis functions.Journal of Earth Science, 29(06): 1349-1358.https://doi.org/10.1007/s12583-017-0771-3
10. Zhou, H., Luo, Z., Tangdamrongsub, N., et al. (2018). Identifying flood events over the Poyang Lake Basin using multiple satellite remote sensing observations.Remote Sensing, 10, 713.http://doi.org/10.3390/rs10050713
11. Lu, B., Luo, Z., Zhong, B., Zhou, H., et al. (2018). The gravity field model IGGT_R1 based on the second invariant of the GOCE gravitational gradient tensor.Journal of Geodesy, 92: 561-572.http://doi.org/10.1007/s00190-017-1089-8
12. Su, X., Shum, C.K., Luo, Z. (2018). Evaluating IMERG V04 Final Run for Monitoring Three Heavy Rain Events Over Mainland China in 2016.IEEE GEOSCIENCE ADN REMOTE SENSING LETTERS, 15(3): 444-448.http://dx.doi.org/10.1109/LGRS.2018.2793897
13. Su, X., Luo, Z., Zhou, Z. (2018). Assessing backscatter change due to backscatter gradient over the Greenland ice sheet using Envisat and SARAL altimetry.Journal of Geodynamics, 117: 41-48.https://doi.org/10.1016/j.jog.2018.03.007.
14. Xu, C., Luo, Z., Sun, R., Zhou, H., Wu, Y. (2018). Multilayer densities using a wavelet-based gravity method and their tectonic implications beneath the Tibetan Plateau.Geophysical Journal International, 213: 2085-2095. http://doi.org/10.1093/gji/ggy110
15. Su, X., Shum, C.K., Guo, J., Howat, I.M., Kuo, C., Jezek, K.C., Duan, J., Y Yi, Y. (2018). High-Resolution Interannual Mass Anomalies of the Antarctic Ice Sheet by Combining GRAEC Gravimetry and ENVISAT Altimetry.IEEE TRANACTIONS ON GEOSCIENCE AND REMOTE SENSING, 56(1): 539-546. http://dx.doi.org/10.1109/TGRS.2017.2751070
16. 宛家宽,罗志才,赵珞成(2018).利用FG5绝对重力仪观测数据确定重力垂直梯度.地球物理学报,61 (1):119-126.http://doi.org/10.6038/cjg2018K0595
17. Lijie He, Lunche Wang, Aiwen Lin, Ming Zhang, Xiangao xia, Minghui Tao, Hao Zhou. (2018). What drives changes in aerosol properties over the Yangtze River Basin in past four decades? Atmospheric Environment, ISSN: 1352-2310, 190:269-283.https://doi.org/10.1016/j.atmosenv.2018.07.034
18. Yang, F., Ehsan Forootan, Shum, C.K., Zhong, Min. (2018). Evaluating non-tidal atmospheric products by measuring GRACE K-band rang rate residuals. Geophys. J. Int, 215, 1134-1147.10.1093/gji/ggy340
19. LIU Jingbin, HUANG Baichuan, ZHANG Bin, LI Leilei, YANG Fan (2018). AOA Estimation Based on Channel State Information Extracted from WiFi with Double Antenna. GEOMATICS AND INFORMATION SCIENCE OF WUHAN UNIVERS, 2018, 43(12): 2167-2172.
20. Li Zheng, Liu Jingbin, Yang Fan, Niu Xiaoguang, Li Leilei, Wang Zemin, Chen Ruizhi (2018). A Bayesian Density Model-Based Radio Signal Fingerprinting Positioning Method for Enhanced Usability. Sensors.10.3390/s18114063
2017年
1. Wu, Y., Luo, Z., Chen, W., Chen, Y. (2017). High-resolution regional gravity field recovery from Poisson wavelets using heterogeneous observational techniques.Earth Planet Space, 69: 34.https://doi.org/10.1186/s40623-017-0618-2
2. Lu, B., Barthelmes, F., Petrovic, S., Foerste, C., Flechtner, F., Luo, Z., et al. (2017). Airborne gravimetry of GEOHALO mission: data processing and gravity field modeling: Airborne gravimetry of GEOHALO mission.Journal of Geophysical Research: Solid Earth, 122(12).http://doi.org/10.1002/2017JB014425
3. Huang, Z., Wang, H., Luo, Z. (2017). Improving Jason-2 sea surface heights within 10 km offshore by retracking decontaminated waveforms.Remote Sensing, 9(10): 1077.http://doi.org/10.3390/rs9101077
4. Zhou, H., Luo, Z., Tangdamrongsub, N., et al. (2017). Characterizing drought and flood events over the Yangtze River Basin using the HUST-Grace2016 solution and ancillary data.Remote Sensing, 9(11): 1100. http://doi.org/10.3390/rs9111100
5. Chao, N., Wang, Z. (2017). Characterized flood potential in the Yangtze River basin from GRACE gravity observation, hydrological model and in-situ hydrological station.Journal of Hydrologic Engineering, 22(9).https://doi.org/10.1061/(ASCE)HE.1943-5584.0001547
6. Zhou, H., Luo, Z., Zhou, Z., Zhong, B., Hsu, H. (2017). HUST-Grace2016s: a new GRACE static gravity field model derived from a modified dynamic approach over a 13-year observation period.Advances in Space Research, 60(3): 597-611. https://doi.org/10.1016/j.asr.2017.04.026
7. Wu, Y., Zhou, H., Zhong, B., Luo, Z. (2017). Regional gravity field recovery using the GOCE gravity gradient tensor and heterogeneous gravimetry and altimetry data.Journal of Geophysical Research: Solid Earth, 122(8), 6928-6952. https://doi.org/10.1002/2017JB014196
8. Xu, C., Liu, Z., Luo, Z., Wu, Y., Wang, H. (2017). Moho Topography of the Tibetan Plateau Using Multi-Scale Gravity Analysis and Its Tectonic Implications.Journal of Asian Earth Science, 138: 378-386. https://doi.org/10.1016/j.jseaes.2017.02.028
9. Chao, N., Wang, Z., Hwang, C., et al. (2017). Decline of Geladandong glacier elevation in Yangtze River’s source region: detection by ICESat and assessment by hydroclimatic data.Remote sensing. 9(1): 75.https://doi.org/10.3390/rs9010075
10. Yang, F., J. Kusche, E. Forootan, and R. Rietbroek. (2017). Passive-ocean radial basis function approach to improve temporal gravity recovery from GRACE observations, J. Geophys. Res. Solid Earth, 122, 6875–6892,doi:10.1002/2016JB013633
11. Yang F, Wang C Q,Xu H Z et al. (2017). Towards a more accurate temporal gravity model from GRACE observations through the kinematic orbits. Chinese J. Geophysics, 60(1): 37-49,doi: 10.6038/cjg20170101
12. Yang F, Xu H Z,Zhong M et al. (2017). GRACE global temporal gravity recovery through the radial basis function approach. Chinese J. Geophysics, 60(4), doi:10.6038/cjg20170401
2016年
1. Wu, Y., Luo, Z., Mei, X., Lu, J. (2016). Normal Height Connection across Seas by the Geopotential-Difference method: Case Study in Qiongzhou Strait, China,Journal of Surveying Engineering, 143(2), 1-10,https://doi.org/10.1061/(ASCE)SU.1943-5428.0000203, 05016011.
2. Luo, Z., Zhou, H., Li, Q., et al. (2016). A new time-variable gravity field model recovered by dynamic integral approach on the basis of GRACE KBRR data alone. Chinese J. Geophys. (in Chinese), 59(6), 1994-2005.https://doi.org/10.6038/cjg20160606
3. Zhou, H., Luo, Z., Wu, Y., et al. (2016). Impact of geophysical model errors for recovering temporal gravity field model. Journal of Applied Geophysics, 130, 177-185.http://dx.doi.org/10.1016/j.jappgeo.2016.04.004
4. Sun, R., Shen, W. (2016). Influence of dynamical equatorial flattening and orientation of a triaxial core on prograde diurnal polar motion of the Earth. Journal of Geophysical Research; Solid Earth, ISSN: 2169-9313, 121 (10), 7570-7597.https://doi.org/10.1002/2016JB013278