| The quantitative precipitation estimation system for Dallas–Fort Worth (DFW) urban remote sensing network H Chen, V Chandrasekar Journal of Hydrology 531, 259-271, 2015 | 135 | 2015 |
| An improved dual-polarization radar rainfall algorithm (DROPS2. 0): Application in NASA IFloodS field campaign H Chen, V Chandrasekar, R Bechini Journal of Hydrometeorology 18 (4), 917-937, 2017 | 115 | 2017 |
| A machine learning system for precipitation estimation using satellite and ground radar network observations H Chen, V Chandrasekar, R Cifelli, P Xie IEEE Transactions on Geoscience and Remote Sensing 58 (2), 982-994, 2019 | 105 | 2019 |
| Evaluation of GPM-era global satellite precipitation products over multiple complex terrain regions Y Derin, E Anagnostou, A Berne, M Borga, B Boudevillain, W Buytaert, ... Remote Sensing 11 (24), 2936, 2019 | 93 | 2019 |
| Rainfall estimation from ground radar and TRMM precipitation radar using hybrid deep neural networks H Chen, V Chandrasekar, H Tan, R Cifelli Geophysical Research Letters 46 (17-18), 10669-10678, 2019 | 82 | 2019 |
| A deep learning method for bias correction of ECMWF 24–240 h forecasts L Han, M Chen, K Chen, H Chen, Y Zhang, B Lu, L Song, R Qin Advances in Atmospheric Sciences 38 (9), 1444-1459, 2021 | 81 | 2021 |
| High resolution radar quantitative precipitation estimation in the San Francisco Bay Area: Rainfall monitoring for the urban environment R Cifelli, V Chandrasekar, H Chen, LE Johnson Journal of the Meteorological Society of Japan. Ser. II, 2018 | 80 | 2018 |
| Convective precipitation nowcasting using U-Net Model L Han, H Liang, H Chen, W Zhang, Y Ge IEEE Transactions on Geoscience and Remote Sensing 60, 1-8, 2021 | 79 | 2021 |
| Improving Nowcasting of convective development by incorporating polarimetric radar variables into a deep‐learning model X Pan, Y Lu, K Zhao, H Huang, M Wang, H Chen Geophysical Research Letters 48 (21), e2021GL095302, 2021 | 62 | 2021 |
| Principles of high-resolution radar network for hazard mitigation and disaster management in an urban environment V Chandrasekar, H Chen, B Philips Journal of the Meteorological Society of Japan. Ser. II, 2018 | 61 | 2018 |
| Atmospheric moisture transport versus precipitation across the Tibetan Plateau: A mini-review and current challenges Y Ma, M Lu, H Chen, M Pan, Y Hong Atmospheric Research 209, 50-58, 2018 | 59 | 2018 |
| Advancing radar nowcasting through deep transfer learning L Han, Y Zhao, H Chen, V Chandrasekar IEEE Transactions on Geoscience and Remote Sensing 60, 1-9, 2021 | 56 | 2021 |
| Estimation of light rainfall using Ku-band dual-polarization radar H Chen, V Chandrasekar IEEE Transactions on Geoscience and Remote Sensing 53 (9), 5197-5208, 2015 | 53 | 2015 |
| Raindrop size distributions and rain characteristics observed by a PARSIVEL disdrometer in Beijing, Northern China L Ji, H Chen, L Li, B Chen, X Xiao, M Chen, G Zhang Remote Sensing 11 (12), 1479, 2019 | 50 | 2019 |
| The CASA quantitative precipitation estimation system: A five year validation study V Chandrasekar, Y Wang, H Chen Natural Hazards and Earth System Sciences 12 (9), 2811-2820, 2012 | 48 | 2012 |
| Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation Y Ma, G Ni, CV Chandra, F Tian, H Chen Hydrology and Earth System Sciences 23 (10), 4153-4170, 2019 | 46 | 2019 |
| DARecNet-BS: Unsupervised dual-attention reconstruction network for hyperspectral band selection SK Roy, S Das, T Song, B Chanda IEEE Geoscience and Remote Sensing Letters 18 (12), 2152-2156, 2020 | 45 | 2020 |
| Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau Y Gou, Y Ma, H Chen, Y Wen Atmospheric Research 203, 286-297, 2018 | 45 | 2018 |
| Evaluation of multisensor quantitative precipitation estimation in Russian River Basin D Willie, H Chen, V Chandrasekar, R Cifelli, C Campbell, D Reynolds, ... Journal of Hydrologic Engineering 22 (5), E5016002, 2017 | 41 | 2017 |
| Use of a high-resolution-satellite-based precipitation product in mapping continental-scale rainfall erosivity: A case study of the United States J Kim, H Han, B Kim, H Chen, JH Lee Catena 193, 104602, 2020 | 40 | 2020 |
Chandrasekar.VColorado State UniversityVerified email at colostate.edu
