Presented By: Climate and Space Sciences and Engineering
CLaSP Seminar Series - Dr. Stan Benjamin
Our guest for this week's CLaSP Seminar Series will be Dr. Stan Benjamin of NOAA.
Title: "Reducing systematic cloud/radiation errors from Hour 4 to Week 4"
Abstract: Subgrid-scale cloud representation continues to be a central challenge from subseasonal-to-seasonal models down to storm-scale models applied for forecast duration of only a few hours. Previously, NOAA Earth System Research Laboratory confirmed this issue from a 3-km model (HRRR – High-Resolution Rapid Refresh) for short-range forecasting including sub-grid-scale cloud representation up to 30-60-km medium-range and subseasonal global model (using FV3-GFS), all testing a common suite of scale-aware physical parameterizations. Some progress has been made in 2018 to substantially reduce cloud deficiency and excessive downward solar radiation at least over land areas, especially for short-range prediction for which related model and assimilation changes are critical for forecast applications to energy, aviation, and severe weather. The process of investigating a wide range of potential deficiencies in a numerical weather prediction system will be described.
Title: "Reducing systematic cloud/radiation errors from Hour 4 to Week 4"
Abstract: Subgrid-scale cloud representation continues to be a central challenge from subseasonal-to-seasonal models down to storm-scale models applied for forecast duration of only a few hours. Previously, NOAA Earth System Research Laboratory confirmed this issue from a 3-km model (HRRR – High-Resolution Rapid Refresh) for short-range forecasting including sub-grid-scale cloud representation up to 30-60-km medium-range and subseasonal global model (using FV3-GFS), all testing a common suite of scale-aware physical parameterizations. Some progress has been made in 2018 to substantially reduce cloud deficiency and excessive downward solar radiation at least over land areas, especially for short-range prediction for which related model and assimilation changes are critical for forecast applications to energy, aviation, and severe weather. The process of investigating a wide range of potential deficiencies in a numerical weather prediction system will be described.
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