130 likes | 143 Views
This study outlines the monitoring of SCIAMACHY total column ozone using the DAO Ozone Data Assimilation System (DAS). Results show the impact of quality control on data accuracy, with insights into spatial patterns and error distributions.
E N D
Monitoring of SCIAMACHY Total Column Ozone Using the DAO Ozone DAS Authors: N. Winslow, I. Stajner, R. Rood
Outline • Overview of the DAO Ozone DAS • Monitoring of SCIAMACHY total column ozone (TOZ) • all data • data that passed a simple quality control • Summary
Monitored Data: SCIAMACHY (MIPAS GOMOS) Assimilated O3 Data: TOMS SBUV MLS 3b. Observations-Forecast (O-F) Forecast & Observation Error Models 2. Statistical Analysis 3a. Analysis Increments 3. Analysis Short term forecast Winds 1. Tracer Transport Model 4. HALOE Sondes
Overview of the Ozone DAS • Tracer transport model (2x2.5) uses near real time fv-DAS winds with parameterized chemistry • SBUV profile and total column values are actively assimilated • SCIAMACHY total column values are monitored • Software to actively assimilate MIPAS, GOMOS and SCHIAMCHY is being developed
Results with all SCIAMACHY TOZ data • Pds2Ascii v. 2.07 converts RV_2 to DAS format • Geolocation matched to observations using dsr time • Data screened with provided quality flag • Daily global RMS of O-F residuals are very large, typically over 200 D.U.
Results with all SCIAMACHY TOZ data • Time series of the zonal daily RMS of O-F residuals (D.U.) • Large values concentrated in southern and northern high latitudes • Large values appear to be near the terminator of high solar zenith angles
Results with all SCIAMACHY TOZ data • Time series of the zonal daily mean of reported error of observations (%) • Larger and smaller values of precision follow a distribution similar to that seen in zonal daily RMS of O-F residuals
Results with all SCIAMACHY TOZ data • Daily regional mean of reported error in observations (%) • Large values are concentrated in space • Most (>99%) large RMS values correspond to a reported error larger than 1.2% or equal to 0.0%
Results with quality controlled SCIAMACHY TOZ • Times series of the daily global RMS of O-F residuals • Quality control is a range check: 100DU <ozone< 1000DU • Daily global RMS between SCIAMACHY TOZ and DAO forecast of TOZ is between 30 and 40 D.U.
Results with quality controlled SCIAMACHY TOZ • Time series of the zonal RMS of O-F residuals (D.U.) • Larger RMS O-F residuals concentrated in the northern and southern high latitudes • Pattern similar to data without quality control, but magnitudes are smaller
Results with quality controlled SCIAMACHY TOZ • Time series of the zonal mean of O-F residuals (D.U.) • SCIAMACHY TOZ lower than DOA TOZ forecast by 25, 30, and 35 D.U in the northern mid latitudes, tropics, and southern mid latitudes respectively • Some evidence of the zonal pattern seen in data without quality control
Results with quality controlled SCIAMACHY TOZ • Regional means of O-F residuals (D.U.) • Large values are concentrated in space • Most (>99%) large RMS values correspond to a reported error larger than 1.2% or equal to 0.0%
Summary of SCIAMACHY TOZ Monitoring • Data without external quality control generates RMS O-F residuals larger than 200 D.U. • Simple quality control reduces the global RMS of O-F residuals to 30-35 D.U. • Large O-F residuals are tightly concentrated in northern and southern high latitudes at what appear to be high solar zenith angles, but this information is not yet provided in the data • Reported errors show a similar spatial distribution • Quality controlled data tends to be smaller than forecasted total column ozone by about 35 D.U.