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Showing 1 to 5 of 5 for “"Multi-radar Multi-sensor"”.

  1. Bridging the gap : comparative analysis of a gap filling X-band radar QPE algorithms and their implications for nowcasting and hydrological modeling

    Steward, ChristopherUniversity of Missouri--Columbia2023

    … This research examines how a single X-Band radar bridges the gap in QPE estimation and its implications for hydrological modeling and nowcasting. Initially, a comparison between X-band and S-band radars with Integrated Multi-satellitE Retrievals for GPM (IMERG) showed comparable performances …

    missouri Repository record

  2. Quantifying various thunderstorm characteristics during high impact events using radar and satellite observations

    Ayat, Hooman ; https://orcid.org/0000-0001-9499-5894UNSW, Sydney2022

    … characteristics, including their changes, using radar and satellite observations. Using an object-based technique, I compare the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) and ground radar based Multi-Radar Multi-Sensor Quantitative Precipitation Estimates …

    unsw Repository record

  3. Deep Learning Architectures for Improving Weather Research and Forecasting (WRF) Precipitation Estimates and Landslide Susceptibility Mapping: A Case Study of Puerto Rico

    Mejia Manrique, Said A2025

    … learning (DL) models utilizing high-resolution radar data offers a promising strategy for increasing the accuracy of precipitation estimations. Additionally, DL models can be employed to predict landslide susceptibility maps (LSM) that rely on forecasted precipitation, landscape characteristics, …

    cuny Repository record

  4. GREMLIN: GOES radar estimation via machine learning to inform NWP

    Hilburn, Kyle Aaron, author, Miller, Steven D., advisor, Kummerow, Christian D., committee member, Barnes, Elizabeth A., committee member, Ebert-Uphoff, Imme, committee member, Alexander, Curtis R., committee memberColorado State University. Libraries2023

    … capabilities can be used to create equivalent radar reflectivity suitable for initializing convection in high-resolution NWP models. Chapter 1 will present a proof-of-concept that ML can be used as an observation operator for GOES-R to simulate Multi-Radar Multi-Sensor (MRMS) composite …

    colostate Repository record

  5. Examining the role of deep convective updrafts in QLCS tornadogenesis using observations and real-world modeling

    Wolff, Edward ClarenceUniversity of Illinois at Urbana-Champaign2023

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms

    uiuc Repository record