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  1. 3541

    Runoff Simulation of Yulong Kashi River Basin Based on CN05.1 Dataset Driven SWAT Model by YU Xiaobo, HUANG Lingmei, SHEN Manhua, ZHANG Ting

    Published 2024-09-01
    “…The CN05.1 dataset can accurately reflect the underlying surface and surface atmospheric characteristics of the Basin. Annual runoff in the Basin shows a positive correlation with both precipitation and temperature, whose change has a more significant impact on runoff. …”
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    Simulation of Daily Rainfall from Concurrent Meteorological Parameters over Core Monsoon Region of India: A Novel Approach by Utpal Misra, Atri Deshamukhya, Sanjay Sharma, Srimanta Pal

    Published 2018-01-01
    “…This approach has a potential to be used as a rain parameterization scheme in the dynamical atmospheric and coupled models to simulate daily rainfall. …”
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    Probabilistic Short‐Term Solar Driver Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

    Published 2024-03-01
    “…Abstract Space weather indices are used to drive forecasts of thermosphere density, which directly affects objects in low‐Earth orbit (LEO) through atmospheric drag force. A set of proxies and indices (drivers), F10.7, S10.7, M10.7, and Y10.7 are used as inputs by the JB2008, (https://doi.org/10.2514/6.2008‐6438) thermosphere density model. …”
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    Detecting, Monitoring, and Analyzing the Surface Subsidence in the Yellow River Delta (China) Combined with CenterNet Network and SBAS-InSAR by Zhenjin Li, Zhiyong Wang, Wei Liu, Xing Li, Maotong Zhou, Baojing Zhang

    Published 2022-01-01
    “…Small Baseline Subset InSAR (SBAS-InSAR) can monitor the surface subsidence with millimeter-level accuracy, but it takes a long time to process wide images (Sentinel-1) and is seriously affected by atmospheric errors. To avoid these limitations, we constructed a method combining the CenterNet network and SBAS-InSAR (CNSBAS-InSAR). …”
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