A Regression and Neural Network-Based Methodology to Improve Vertical Resolution of Matched Indian Ground Radar Reflectivity Observations
Author:
Affiliation:
1. IIT Bhubaneswar,Argul,Orissa,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883312.pdf?arnumber=9883312
Reference9 articles.
1. Upscaling IMD Ground Radar Vertical Reflectivity Using TRMM PR Observations and Artificial Neural Network
2. Quantitative Cross Validation of Space-Based and Ground-Based Radar Observations
3. On Comparing Space Radar With Ground Radar Using Alignment Methodology;sharma;TROPMET-2019,0
4. Technical Note: An open source library for processing weather radar data (<i>wradlib</i>)
5. Released Notes for PR Level 1 product;NASA GSFC Doc,2017
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1. A methodology to upscale IMD ground radar observations at the same resolution with TRMM PR reflectivity using ANN;Remote Sensing Applications: Society and Environment;2023-04
2. Sensitivity of Temperature Perturbation to Precipitation: A Parametric Study;2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS);2023-01-27
3. An Iteration-Based Methodology to Cross Compare Volume Matched Indian Ground Radar Reflectivity Observations Against Space Radar;2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS);2023-01-27
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