Search Results - "Hu, Junjun"

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  1. 1

    Spatiotemporal evolution and impact mechanism of ecological vulnerability in the Guangdong–Hong Kong–Macao Greater Bay Area by Zhang, Rui, Chen, Sheng, Gao, Liang, Hu, Junjun

    Published in Ecological indicators (15-12-2023)
    “…The constant conflict between the rapidly developing socioeconomic and ecological environment within the Guangdong–Hong Kong–Macao Greater Bay Area…”
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    Journal Article
  2. 2

    Tropical Cyclone Intensity Estimation Using Himawari-8 Satellite Cloud Products and Deep Learning by Tan, Jinkai, Yang, Qidong, Hu, Junjun, Huang, Qiqiao, Chen, Sheng

    Published in Remote sensing (Basel, Switzerland) (01-02-2022)
    “…This study develops an objective deep-learning-based model for tropical cyclone (TC) intensity estimation. The model’s basic structure is a convolutional…”
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    Journal Article
  3. 3

    The Role and Path of Ideological and Political Education in Cultivating Innovative Talents by Wei, Ruirui, Hu, Junjun

    Published in Applied mathematics and nonlinear sciences (01-01-2024)
    “…Cultivating innovative talents is an important goal of the talent cultivation strategy in the new era, and ideological and political education is an…”
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    Journal Article
  4. 4

    Statistical Characteristics of Raindrop Size Distribution in the Monsoon Season Observed in Southern China by Zhang, Asi, Hu, Junjun, Chen, Sheng, Hu, Dongming, Liang, Zhenqing, Huang, Chaoying, Xiao, Liusi, Min, Chao, Li, Haowen

    Published in Remote sensing (Basel, Switzerland) (19-02-2019)
    “…This study investigates the statistical characteristics of raindrop size distributions (DSDs) in monsoon season with observations collected by the…”
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    Journal Article
  5. 5

    Statistical Characteristics of Warm Season Raindrop Size Distribution in the Beibu Gulf, South China by Li, Xiaoyu, Chen, Sheng, Li, Zhi, Huang, Chaoying, Hu, Junjun

    Published in Remote sensing (Basel, Switzerland) (01-10-2022)
    “…Raindrop size distribution (DSD) can be used to improve the accuracy of radar quantitative precipitation estimation (QPE) and further understand the…”
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    Journal Article
  6. 6

    Evaluation of the successive V6 and V7 TRMM multisatellite precipitation analysis over the Continental United States by Chen, Sheng, Hong, Yang, Gourley, Jonathan J., Huffman, George J., Tian, Yudong, Cao, Qing, Yong, Bin, Kirstetter, Pierre-Emmanuel, Hu, Junjun, Hardy, Jill, Li, Zhe, Khan, Sadiq I., Xue, Xianwu

    Published in Water resources research (01-12-2013)
    “…The spatial error structure of surface precipitation derived from successive versions of the TRMM Multisatellite Precipitation Analysis (TMPA) algorithms are…”
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    Journal Article
  7. 7

    A new approximate adder with low relative error and correct sign calculation by Junjun Hu, Weikang Qian

    “…Conventional precise adders need long delay and large power consumption to obtain accurate results. However, in recognition of the error tolerance of some…”
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    Conference Proceeding
  8. 8

    How Well Can IMERG Products Capture Typhoon Extreme Precipitation Events over Southern China? by Huang, Chaoying, Hu, Junjun, Chen, Sheng, Zhang, Asi, Liang, Zhenqing, Tong, Xinhua, Xiao, Liusi, Min, Chao, Zhang, Zengxin

    Published in Remote sensing (Basel, Switzerland) (01-01-2019)
    “…This study assesses the performance of the latest version 05B (V5B) Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (GPM) (IMERG)…”
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    Journal Article
  9. 9

    Comparison of snowfall estimates from the NASA CloudSat Cloud Profiling Radar and NOAA/NSSL Multi-Radar Multi-Sensor System by Chen, Sheng, Hong, Yang, Kulie, Mark, Behrangi, Ali, Stepanian, Phillip M., Cao, Qing, You, Yalei, Zhang, Jian, Hu, Junjun, Zhang, Xinhua

    Published in Journal of hydrology (Amsterdam) (01-10-2016)
    “…•Height of 99.41% of CloudSat surface snowfall events are >1km above the surface, whereas 76.41% of corresponding NOAA/NSSL ground radar (Q3) observations are…”
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    Journal Article
  10. 10

    Tropospheric Delay Model Based on VMF and ERA5 Reanalysis Data by Zhang, Mengtao, Wang, Mengli, Guo, Hang, Hu, Junjun, Xiong, Jian

    Published in Applied sciences (01-05-2023)
    “…The global tropospheric zenith delay grid products of VMF1 and VMF3 (Vienna mapping functions) with different resolutions are used to calculate the…”
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    Journal Article
  11. 11

    Impact of Assimilating High‐Resolution Atmospheric Motion Vectors on Convective Scale Short‐Term Forecasts: 1. Observing System Simulation Experiment (OSSE) by Zhao, Juan, Gao, Jidong, Jones, Thomas A., Hu, Junjun

    “…This research investigates to what extent the high‐spatiotemporal‐resolution Atmospheric Motion Vector (AMV) product derived from the new‐generation…”
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    Journal Article
  12. 12

    Impact of Assimilating High‐Resolution Atmospheric Motion Vectors on Convective Scale Short‐Term Forecasts: 2. Assimilation Experiments of GOES‐16 Satellite Derived Winds by Zhao, Juan, Gao, Jidong, Jones, Thomas A., Hu, Junjun

    “…Building on the results from the observing system simulation experiments in Part I, this study investigates the impact of assimilating Geostationary…”
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    Journal Article
  13. 13

    Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China by Chen, Sheng, Hong, Yang, Cao, Qing, Gourley, Jonathan J., Kirstetter, Pierre-Emmanuel, Yong, Bin, Tian, Yudong, Zhang, Zengxin, Shen, Yan, Hu, Junjun, Hardy, Jill

    “…Similarities and differences of spatial error structures of surface precipitation estimated with successive version 6 (V6) and version 7 (V7) Tropical Rainfall…”
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    Journal Article
  14. 14

    Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations by Chen, Sheng, Liu, Huijuan, You, Yalei, Mullens, Esther, Hu, Junjun, Yuan, Ye, Huang, Mengyu, He, Li, Luo, Yongming, Zeng, Xingji, Tang, Guoqiang, Hong, Yang

    Published in PloS one (01-04-2014)
    “…Satellite-based precipitation estimates products, CMORPH and PERSIANN-CCS, were evaluated with a dense rain gauge network over Beijing and adjacent regions for…”
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    Journal Article
  15. 15

    Intercomparison of Precipitation Estimates From WSR-88D Radar and TRMM Measurement Over Continental United States by Sheng Chen, Yang Hong, Qing Cao, Yudong Tian, Junjun Hu, Xinhua Zhang, Weiyue Li, Carr, Nicholas, Xinyi Shen, Lei Qiao

    “…This paper examines the spatial error structures of precipitation estimates derived from both WSR-88D ground radar measurements and National Aeronautics and…”
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    Journal Article
  16. 16

    Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China by Guo, Hao, Chen, Sheng, Bao, Anming, Hu, Junjun, Yang, Banghui, Stepanian, Phillip M

    Published in Atmosphere (01-01-2016)
    “…Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six…”
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    Journal Article
  17. 17

    Evaluation and Uncertainty Estimation of NOAA/NSSL Next-Generation National Mosaic Quantitative Precipitation Estimation Product (Q2) over the Continental United States by Chen, Sheng, Gourley, Jonathan J., Hong, Yang, Kirstetter, P. E., Zhang, Jian, Howard, Kenneth, Flamig, Zachary L., Hu, Junjun, Qi, Youcun

    Published in Journal of hydrometeorology (01-08-2013)
    “…Quantitative precipitation estimation (QPE) products from the next-generation National Mosaic and QPE system (Q2) are cross-compared to the operational,…”
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    Journal Article
  18. 18

    Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE by Sheng Chen, Jian Zhang, Mullens, Esther, Yang Hong, Behrangi, Ali, Yudong Tian, Xiao-Ming Hu, Junjun Hu, Zengxin Zhang, Xinhua Zhang

    “…Understanding the Earth's energy cycle and water balance requires an understanding of the distribution of precipitation types and their total equivalent water…”
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    Journal Article
  19. 19
  20. 20

    Hydrologic Evaluation of Integrated Multi-Satellite Retrievals for GPM over Nanliu River Basin in Tropical Humid Southern China by Liang, Zhenqing, Chen, Sheng, Hu, Junjun, Huang, Chaoying, Zhang, Asi, Xiao, Liusi, Zhang, Zengxin, Tong, Xinhua

    Published in Water (Basel) (01-05-2019)
    “…Version 5B Integrated Multi-satellite Retrievals for GPM (IMERG) products were evaluated with rain gauge observations as reference over the Nanliu River basin…”
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    Journal Article