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Showing 1 to 5 of 5 for “"Hrrr"”.

  1. A Geospatial and Machine Learning Framework for Forecasting Ground Level Ozone Pollution

    … namely NOAA’s High Resolution Rapid Refresh (HRRR) meteorology model, and a long-short-term-memory (LSTM) neural network to forecast and interpolate ozone values at high spatiotemporal resolution of 1 hour and 3 km. The accuracies of the LSTM models are analyzed using lagged ozone at various …

    denver Repository record for A Geospatial and Machine Learning Framework for Forecasting Ground Level Ozone Pollution (opens in a new tab)

  2. Evaluating the 3D EnKF - VAR Hybrid Data Assimilation in GSI for Surface and Upper Level Analyses

    … 1 hour forecast High-Resolution Rapid Refresh (HRRR) and The Global Ensemble Forecast System, as the background and ensemble member set, respectively. Also, the conventional and satellite radiance observations are assimilated. The analysis covers a CONUS domain and has a 3 km horizontal …

    york Repository record for Evaluating the 3D EnKF - VAR Hybrid Data Assimilation in GSI for Surface and Upper Level Analyses (opens in a new tab)

  3. Satellite-based Analysis and Forecast Evaluation of Aviation Contrails

    … weather prediction (NWP) data from the ERA5 and HRRR models are compared to a nowcasting method that utilizes the aforementioned contrail detections and altitude estimates. This comparison is performed using traditional forecast evaluation methods, as well as a novel framework developed …

    mit Repository record for Satellite-based Analysis and Forecast Evaluation of Aviation Contrails (opens in a new tab)

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

    … Refresh and High-Resolution Rapid Refresh (RAP/HRRR). Development of the GREMLIN (GOES Radar Estimation via Machine Learning to Inform NWP) convolutional neural network (CNN) will be described. This includes the creation of a hierarchy of open source datasets, and will emphasize the importance …

    colostate Repository record for GREMLIN: GOES radar estimation via machine learning to inform NWP (opens in a new tab)

  5. Radar and model-based studies of mesovortices in cool-season quasi-linear convective systems

    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 for Radar and model-based studies of mesovortices in cool-season quasi-linear convective systems (opens in a new tab)