Comparisons of the tropospheric specific humidity from GPS radio occultations with ERA-Interim, NASA MERRA, and AIRS data

• Published in: Atmospheric measurement techniques 2018-03, Vol.11 (2), p.1193-1206
• Main Authors: Vergados, Panagiotis, Mannucci, Anthony J, Ao, Chi O, Verkhoglyadova, Olga, Iijima, Byron
• Format: Article
• Language: English
• Subjects: Atmospheric Infrared Sounder; Climate; Climatology; Comparative analysis; Constellation Observing System for Meteorology, Ionosphere and Climate; Convection; Data; Datasets; Entrainment; Global Positioning System; Global positioning systems; GPS; Humidity; Infrared analysis; Ionosphere; Meteorology; Middle troposphere; Positioning systems; Radio; Radio occultation; Refractive index; Refractivity; Satellite constellations; Satellite navigation systems; Specific humidity; Trade winds; Tropical environments; Troposphere; Upper troposphere; Weather forecasting
• ISSN: 1867-8548; 1867-1381; 1867-8548
• DOI: 10.5194/amt-11-1193-2018

We construct a 9-year data record (2007–2015) of the tropospheric specific humidity using Global Positioning System radio occultation (GPS RO) observations from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) mission. This record covers the ±40∘ latitude belt and includes estimates of the zonally averaged monthly mean specific humidity from 700 up to 400 hPa. It includes three major climate zones: (a) the deep tropics (±15∘), (b) the trade winds belts (±15–30∘), and (c) the subtropics (±30–40∘). We find that the RO observations agree very well with the European Centre for Medium-Range Weather Forecasts Re-Analysis Interim (ERA-Interim), the Modern-Era Retrospective Analysis for Research and Applications (MERRA), and the Atmospheric Infrared Sounder (AIRS) by capturing similar magnitudes and patterns of variability in the monthly zonal mean specific humidity and interannual anomaly over annual and interannual timescales. The JPL and UCAR specific humidity climatologies differ by less than 15 % (depending on location and pressure level), primarily due to differences in the retrieved refractivity. In the middle-to-upper troposphere, in all climate zones, JPL is the wettest of all data sets, AIRS is the driest of all data sets, and UCAR, ERA-Interim, and MERRA are in very good agreement, lying between the JPL and AIRS climatologies. In the lower-to-middle troposphere, we present a complex behavior of discrepancies, and we speculate that this might be due to convection and entrainment. Conclusively, the RO observations could potentially be used as a climate variable, but more thorough analysis is required to assess the structural uncertainty between centers and its origin.