Intercomparison of wind speed, temperature, and humidity data between dropsondes and aircraft in situ measurements

Airborne measurements of wind speed and direction, temperature, and relative humidity are critical due to their importance for atmospheric processes. Field campaigns with multiple coordinated aircraft present challenges when combining data from each platform due to atmospheric heterogeneity. To confront this issue, this work intercompares for the first time in situ measurements from the Turbulent Air Motion Measurement System (TAMMS) of horizontal winds and temperature and a diode laser hygrometer (relative humidity) deployed on an HU-25 Falcon flying mostly within the marine boundary layer to an independent set of measurements from dropsondes launched from a higher-flying King Air. Leveraging data from 162 joint flights over the northwest Atlantic from these two spatially coordinated aircraft during the NASA Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) campaign in winter and summer seasons between 2020-2022, a total of 555 pairs of Falcon-dropsonde data points are identified within 30 km horizontal separation, with minimal vertical separation (usually < 1 m), and within 15 min. This analysis is based on the following range of conditions experienced: altitude Combining double low line g1/4 0.1-5 km, temperature Combining double low line -19-27 °C, relative humidity Combining double low line 1 %-100 %, and wind speed Combining double low line 0.2-42 m s-1. Based on scatterplots, correlation coefficients, and mean (in situ-dropsonde) error (ME), intercomparisons reveal good agreement for wind speed (r Combining double low line 0.95, ME Combining double low line 0.21 ± 1.68 m s-1), u/v wind components (r g1/4 0.96-0.97, ME g1/4 0.03-0.16 (± 1.62-1.67) m s-1), wind direction (r Combining double low line 0.94, ME Combining double low line 0.00 ± 0.22 based on cosine of direction angles), temperature (r Combining double low line 0.99, ME Combining double low line 0.00 ± 0.71 °C), and relative humidity (r Combining double low line 0.91, ME Combining double low line -3.86 ± 10.74 %). Sensitivity analysis shows that binning data into categories of horizontal separation distance, clear versus cloud, winter versus summer, altitude range, and terciles of the values for examined variables did not yield major changes except for relative humidity where there was more deviation, especially above 70 %. The effect of statistics was examined by relaxing the vertical separation distance criteria to expand the number of pairs to over 360 000, without much difference in intercomparison metrics. The effect of averaging more points for each instrument in the final 555 pairs was also shown to lead to minimal change in agreement. Overall, these results provide confidence in both the performance of the measurement techniques compared and combining dropsonde data with in situ data from a separate coordinated aircraft for ACTIVATE, which has relevance to other campaigns with multiple coordinated aircraft conducting similar types of measurements.