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Discussion on Simulation studies

The August 2010 Lidar Working Group Meeting in Bar Harbor focused on simulation studies relevant to Global Weather Observing Systems (GWOS) and Integrated Satellite Systems (ISS). Discussions included the efficacy of "generic wind observations" compared to technology-specific methods, the evaluation of single vs. full vector wind measurements, and the applicability of various domains. Metrics for assessing Global Numerical Weather Prediction (NWP) systems were reviewed, highlighting advantages and disadvantages, including anomaly correlation coefficients and RMS errors. Key insights aimed to enhance understanding and methods in the field.

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Discussion on Simulation studies

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  1. Discussion on Simulation studies Lidar Working Group Meeting Bar Harbor, August 2010

  2. Targets • GWOS or ISS? • “Generic wind observations” vs. technology specific: Coherent, Direct Detection, or both (Hybrid)? • Single-perspective or full vector winds(bi-perspective, scanning, etc.)?

  3. Domain (NR and assimilation systems)? • Global • Advantages: Signature of observing system is unequivocal; easy comparison both nationally and internationally for robustness of results; most advanced assimilation methodology, including treatment of satellite data • Disadvantages: Scale of phenomena for which impact is desired may not be well captured; widely used metrics often perceived as irrelevant by end users • Limited area (meso-scale) • Advantages: Can be targeted to desired spatial and temporal scales; can be focused on desired regions • Disadvantages: Rudimentary treatment of satellite data; signature of observing systems is often ambiguous; in fact many regional system are run without any assimilation at all; comparison of results across systems is difficult to impossible Current ROSES 07 WLS project is focused on Global NWP

  4. Global NWP Metrics • Anomaly correlation coefficients • Controversial: • Gold standard for NWP systems; objective • Not widely understood outside NWP community, difficult to sell to stake-holders • RMS errors • Similar to ACC diagnostics • Better suited for the tropics • Adjoint sensitivity (e.g. total energy norms) • Short-range focus • Computational advantage • Other metrics?

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