Using the GEOS-5 Nature Run to Simulate 2053-nm Coherent Doppler Wind Lidar Observations

Abstract

Abstract Wind observations are a critical part of the current global observation system used for numerical weather prediction (NWP). Wind lidars have been cited as precise instruments that can provide three-dimensional wind measurements. Several studies have conducted observing system experiments (OSEs) with existing lidar observations or observing system simulation experiments (OSSEs) with simulated lidar observations highlighting the benefits of wind lidar measurements to NWP. Previous studies using simulated lidar observations have typically tied aerosol optical properties to functions of relative humidity instead of to aerosol properties. A methodology is presented for simulating wind measurements from a novel 2053-nm lidar using aerosol properties derived using the GEOS-5 nature run, along with estimating winds derived from cloud information. Some assumptions regarding aerosol scattering and the distribution of clouds are explored, along with the role of observation weighting and implications for representativeness error. Results from a preliminary OSSE are presented highlighting the importance of assumptions used to derive data from cloud returns and aerosol scattering. While a longer duration study is required, results show a general reduction in analysis error when lidar measurements are ingested.