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Jo, Ieng

Publications and source records attributed to Jo, Ieng.

Scanning ARM Cloud Radar Corrections (SACRCOR)

This dataset contains moments from the Scanning ARM Cloud Radars (SACRs) which have been filtered and corrected in order to provide a product for non-radar meteorologists which contains fewer measurement artifacts and effects from signal propagation. Corrections have been applied to selected moments. The 'reflectivity_corrected' variable has been corrected for gaseous attenuation effects. Dealiasing of Doppler velocities is performed using two algorithms, with the results stored in the variables 'mean_doppler_velocity_corrected' and 'mean_doppler_velocity_corrected2.' This product removes returns from non-atmospheric source, such as insects, ground clutter, and second trip echoes, leaving only meaningful returns from clouds and precipitation. Users should note that the filter mask in this product is not perfect. A small amount of clutter, insects and second trip echo artifacts may still be present in the filtered data, especially near the radar where classification is particularly challenging. Additionally, due to the instrument configuration, no filtering of insects was performed on data from the X-band SACR. Improvements to these algorithms are planned as further testing is performed and additional data becomes available.

54 ENVIRONMENTAL SCIENCES↗

Scanning ARM Cloud Radars. Part II: Data Quality Control and Processing

The Scanning ARM Cloud Radars (SACR’s) are the primary instruments for documenting the four-dimensional structure and evolution of clouds within a 20-30 km radius from the ARM fixed and mobile sites. Here, the post-processing of the calibrated SACR measurements is discussed. First, a feature mask algorithm that objectively determines the presence of significant radar returns is described. The feature mask algorithm is based on the statistical properties of radar receiver noise. It accounts for atmospheric emission and is applicable even for SACR profiles with few or no signal-free range gates. Using the nearest-in-time atmospheric sounding, the SACR radar reflectivities are corrected for gaseous attenuation (water vapor and oxygen) using a line-by-line absorption model. Despite having a high pulse repetition frequency, the SACR has a narrow Nyquist velocity limit and thus Doppler velocity folding is commonly observed. An unfolding algorithm that makes use of a first guess for the true Doppler velocity using horizontal wind measurements from the nearest sounding is described. The retrieval of the horizontal wind profile from the HS-RHI SACR scan observations and/or nearest sounding is described. The retrieved horizontal wind profile can be used to adaptively configure SACR scan strategies that depend on wind direction. Several remaining challenges are discussed, including the removal of insect and second-trip echoes. The described algorithms significantly enhance SACR data quality and constitute an important step towards the utilization of SACR measurements for cloud research.

climate↗