Construction of Temperature Climate Data Records from June 2006 to December 2018 using Multiple RO Missions
Presenter:
Xinjia Zhou
NOAA NESDIS and GST inc.
NOAA NESDIS
Poster
Monitoring and detecting the vertical structure of atmospheric temperature trends are key elements in the climate change problem. In addition, identifying the long-term change of temperature and tropopause structure (i.e., tropopause height) in the upper troposphere and lower stratosphere (UTLS) is necessary to advance reliable predictions of trends in climate or global change. Current long-term variations of atmospheric vertical thermal distributions are mainly constructed from passive satellite microwave and infrared sounders. However, due to lack of on- board stable calibration references, the inter-satellite biases are still large when they are overlapped. The IPCC AR5 identified that “there is only medium to low confidence in the rate of change of tropospheric warming and its vertical structure, and there is low confidence in the rate and vertical structure of the stratospheric cooling”. In this presentation we detail the method we used to construct the temperature monthly mean climatology (MMC) from June 2001 to December 2018 using multiple RO missions. The temperature MMC is constructed from COSMIC, Metop-A, and Metop-B reprocessed and post processed data. COSMIC covering from June 2006 to Dec 2018, Metop-A/GRAS covering from to September 2007 to December 2018, and Metop-B/GRAS covering from to September 2012 to December 2018 are used to construct the RO temperature MMC. The sampling errors for each mission for each individual months are estimated by using ERA-Interim, MERRA2, and NCEP reanalysis data. The mean and standard deviation of the mean sampling errors are estimated. The COSMIC, Metop-A/GRAS, and Metp-B/GRAS GPS RO MMC are calculated and binned on 5-degree latitudinal bins. The final product consists of monthly mean averages of temperature profiles from June 2006 to December 2018.
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