Joint Cloud Water Path And Rainwater Path Retrievals From Airborne Oracles Observations

This study presents a new algorithm that combines W-band reflectivity measurements from the Airborne Precipitation Radar - third generation (APR-3) passive radiometric cloud optical depth and effective radius retrievals from the Research Scanning Polarimeter (RSP) to estimate total liquid water path in warm clouds and identify the contributions from cloud water path (CWP) and rainwater path (RWP). The resulting CWP estimates are primarily determined by the optical depth input, although reflectivity measurements contribute similar to 10 %-50% of the uncertainty due to attenuation through the profile. Uncertainties in CWP estimates across all conditions are 25% to 35 %, while RWP uncertainty estimates frequently exceed 100 %.Two-thirds of all radar-detected clouds observed during the ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) campaign that took place from 20162018 over the southeast Atlantic Ocean have CWP between 41 and 168 gm(-2) and almost all CWPs (99 %) between 6 to 445 gm(-2). RWP, by contrast, typically makes up a much smaller fraction of total liquid water path (LWP), with more than 70% of raining clouds having less than 10 gm(-2) of rainwater. In heavier warm rain (i.e., rain rate exceeding 4 0mm h(-1) or 1000 mm d(-1)), however, RWP is observed to exceed 2500 gm(-2). CWP (RWP) is found to be approximately 30 gm(-2) (7 gm(-2)) larger in unstable environments compared to stable environments. Surface precipitation is also more than twice as likely in unstable environments. Comparisons against in situ cloud microphysical probe data spanning the range of thermodynamic stability and meteorological conditions encountered across the southeast Atlantic basin demonstrate that the combined APR-3 and RSP dataset enable a robust joint cloud-precipitation retrieval algorithm to support future ORACLES precipitation susceptibility and cloud-aerosol-precipitation interaction studies.