SORCE meeting 2011, Sedona, AZ Modeling of the 11-year Solar Cycle Response in Upper Atmospheric Hydroxyl Radicals King-Fai Lia,b, Shuhui Wangc, Thomas J. Pongettic, Stanley P. Sanderc, Yuk L. Yunga, Jerald W. Harderd, Marty Snowd, Franklin P. Millsb, Tao Lie, Thierry LeBlancc, I. Stuart McDermidc a California Institute of Technology; b Australian National University, c Jet Propulsion Laboratory; d Laboratory for Atmospheric and Space Physics, University of Colorado; e University of Science & Technology of China Correspondence: King-Fai Li (kfl@gps.caltech.edu) a. 1 0 -1 -2 -3 1/1/1960 0 OH Column Variability (%) The solar-cycle modulation recently reported by Shuhui Wang 4 a. % et al. (2011) OH column shows 10±3 2 Modeled OH column response using previous solar model predicts 3.7 % only 0 Recent satellite UV measurements show unexpectedly large -2 Modeled 11-year FTUVS OH total column solar-cycle variability -4 Modeled MLS OH partial column OH Column Variability (%) 2 6 1/1/1970 3 1/1/1980 1/1/1990 Year of Solar Cycle 6 9 b. 1/1/2000 2 0 -2 NRL Flux -4 Modeled variability x 3 -6 1/1/1999 1/1/2002 1/1/2005 FTUVS total column 1/1/1960 1/1/1970 0 3 12 FTUVS OH MLS OH 4 1/1/1996 1/1/2010 1/1/2008 OH Column Variability (%) OH Column Variability (%) Motivation 1/1/1980 MLS partial column 1/1/1990 6YEAR 9 6 1/1/2000 1/1/2010 12 FTUVS OH MLS OH 4 2 0 -2 -4 -6 1/1/2011 1/1/1996 SORCE Flux Modeled variability x1.3 1/1/1999 1/1/2002 1/1/2005 1/1/2008 1/1/2011 An “Error Estimation” Error estimates are as important as the measured means Spectral uncertainty should also propagate in the models Very very conservative uncertainty limits will be tested (Conservative) 5% SOLSTICE 2% SIM Backward Extrapolation Extrapolate to the solar max in Jan 2002 using Mg-II index Uncertainty = regression error + instrument uncertainty OH Photochemistry B B A A: H2O photolysis B: OH + O(3P) → H + O2 O(3P) comes from photolysis of O2 and O3. A C. H2O + O(1D) → OH + O2 C C D O(1D) comes from the photolysis of O3 + h → O2 + O(1D). D. Shielding effect due to the increased overhead O3 opacity Modeled Response (1D) (Blue) Solar-cycle modulation using the extrapolated UV changes (Shade) Uncertainty related to extrapolation (Black) Simulation using Lean’s spectrum (Orange) Canty and Minschwaner (2007). OH column = 6.4 ± 2.5 % versus obs 10 ± 3% Modeled Response (3D) Summary Simulated solar response of the mid-latitude OH column abundance is much closer to observations when the latest satellite solar UV measurements are used. Nevertheless, the observed solar response is still slightly greater than the simulated value. Future OH measurements through the next solar maximum (expected in 2013) will be extremely valuable for investigating these differences further. How about O3? Merkel et al. examined the effect in the lower mesosphere Stratosphere Daytime ??? Continuous satellite measurements too short Merkel et al. (2011) Ground-based measurements LIDAR O3 measurement over Mauna Loa, Hawaii (MLO) MLO agrees with 1D/2D photochemical models Max level of WACCM is wrong WACCM zero level too low O3 chemistry is much simpler