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

Authors :
Vergados, Panagiotis
Mannucci, Anthony J.
Ao, Chi O.
Verkhoglyadova, Olga
Iijima, Byron
Source :
Atmospheric Measurement Techniques Discussions. 2017, p1-39. 39p.
Publication Year :
2017

Abstract

We construct a 9-year data record (2007-2015) of the tropospheric specific humidity (SH) 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 SH from 700 hPa 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°). Our objective is to compare the RO observations with the European Center 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) to examine the consistency among the data sets. We present RO SHs from both JPL and UCAR processing centers to provide an estimate of the structural uncertainty of the RO SH products. The results show that the RO observations capture the seasonal and interannual SH variability as all other data sets. On average, the JPL-RO SH agrees with both reanalyses to within 10 %, is overall larger than all data sets, having maximum differences with AIRS by ~ 10-30 %, and is almost twice as wet as all other data sets in the middle-to-upper troposphere at the subtropics. The UCAR-RO SH also agrees with both reanalyses and AIRS, but is systematically drier than all other data sets. Provided the estimated differences between the RO observations and the rest of the data sets, together with the retrieval uncertainty of the SH products from all data sets, we conclude that RO observations are a valuable independent observing system, which could augment independent reanalyses and satellite platforms. We anticipate that the COSMIC-2 mission will increase the observational sampling; thus, improving the coverage and quality of the observed SH climatology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18678610
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques Discussions
Publication Type :
Academic Journal
Accession number :
124942491
Full Text :
https://doi.org/10.5194/amt-2017-250