Data from: How atmospheric chemistry and transport drive surface variability of N2O and CFC-11
Ruiz, Daniel (2021), Data from: How atmospheric chemistry and transport drive surface variability of N2O and CFC-11, Dryad, Dataset, https://doi.org/10.7280/D1JX0K
Figure and table scripts, processed data from: NOAA observations, MLS measurements, GMI, UCI, and LMDz5 CTMs. This dataset includes processed numerical output from N2O tracer experiments that quantify the stratospheric signal of N2O, driven by atmospheric chemistry and transport, at Earth’s surface in observations and 3 CTMs.
Nitrous oxide (N2O) is a long-lived greenhouse gas that affects atmospheric chemistry and climate. In this work we use satellite measurements of N2O, ozone (O3), and temperature from the Aura Microwave Limb Sounder (MLS) instrument to calculate stratospheric loss of N2O, and thus its atmospheric lifetime. Using three chemistry transport models (CTMs) simulating the Aura period 2005-2017, we verify the stratospheric sink using MLS data and follow that loss signal down to the surface and compare with surface observations. Stratospheric loss has a strong seasonal cycle and is further modulated by the Quasi-Biennial Oscillation (QBO); these cycles are seen equally in both observations and the models. When filtered for interannual variability, the modeled surface signal is QBO-caused, and it reproduces the observed pattern, highlighting the potential role of the QBO in tropospheric chemistry and composition, as well as in model evaluation. The observed annual surface signal in the northern hemisphere (NH) matches well with the models run without emissions, indicating the annual cycle is driven mostly by stratosphere-troposphere exchange (STE) flux of N2O-depleted air and not surface N2O emissions. In the southern hemisphere (SH), all three models disagree and thus provide no guidance, except for indicating that modeling STE in the SH remains a major model uncertainty. Parallel model simulations of CFCl3, which has greater stratospheric loss that N2O and possibly surreptitious emissions, show that its interannual variations parallel those of N2O, and thus the observed N2O variability can identify the stratospheric component of the observed CFCl3 variability.
National Aeronautics and Space Administration, Award: Modeling, Analysis and Prediction Program, NNX13AL12G
National Aeronautics and Space Administration, Award: Atmospheric Chemistry Modeling and Analysis Program, 80NSSC20K1237
National Aeronautics and Space Administration, Award: Atmospheric Chemistry Modeling and Analysis Program, NNX15AE35G
National Science Foundation, Award: NRT-1633631