Journal
ATMOSPHERIC MEASUREMENT TECHNIQUES
Volume 15, Issue 11, Pages 3377-3400Publisher
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/amt-15-3377-2022
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- National Aeronautics and Space Administration [1027232.1.1]
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This study compares 19 different types of data sets, covering the humidity situation at different heights in the upper troposphere, with a focus on the challenging UTH measurements that require consideration of concentration and vertical gradients changes, as well as the impact of cloudiness on the measurements. Comparisons between satellite measurements and balloon sondes show some differences, particularly with up to 2-fold differences in UTH concentrations.
Nineteen limb-viewing data sets (occultation, passive thermal, and UV scattering) and two nadir upper tropospheric humidity (UTH) data sets are intercompared and also compared to frost-point hygrometer balloon sondes. The upper troposphere considered here covers the pressure range from 300-100 hPa. UTH is a challenging measurement, because concentrations vary between 2-1000 ppmv (parts per million by volume), with sharp changes in vertical gradients near the tropopause. Cloudiness in this region also makes the measurement challenging. The atmospheric temperature is also highly variable ranging from 180-250 K. The assessment of satellite-measured UTH is based on coincident comparisons with balloon frost-point hygrometer sondes, multi-month mapped comparisons, zonal mean time series comparisons, and coincident satellite-to-satellite comparisons. While the satellite fields show similar features in maps and time series, quantitatively they can differ by a factor of 2 in concentration, with strong dependencies on the amount of UTH. Additionally, time-lag response-corrected Vaisala RS92 radiosondes are compared to satellites and the frost-point hygrometer measurements. In summary, most satellite data sets reviewed here show on average similar to 30 % agreement amongst themselves and frost-point data but with an additional similar to 30 % variability about the mean bias. The Vaisala RS92 sonde, even with a time-lag correction, shows poor behavior for pressures less than 200 hPa.
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