Stratospheric ozone and water vapor datasets Karen Rosenlof

  • Slides: 20
Download presentation
Stratospheric ozone and water vapor datasets Karen Rosenlof, Sean Davis & Birgit Hassler NOAA

Stratospheric ozone and water vapor datasets Karen Rosenlof, Sean Davis & Birgit Hassler NOAA Earth System Research Laboratory Chemical Sciences Division With contributions from Susan Solomon, Ray Wang and Andy Dessler

NOAA ESRL CSD has 2 long term stratospheric data seta available: the BDBP (Hassler)

NOAA ESRL CSD has 2 long term stratospheric data seta available: the BDBP (Hassler) and SWOOSH (Davis) These are time series for ozone and water based on satellite and sonde data. (zonally averaged ozone initially compiled for a collaboration with a modeling group at Reading…. see 2 papers in Climate Dynamics by Mauro Dall’Amico et al. ) These data sets include raw profiles, monthly averages, adjustments for homogenization and either regression or anomaly interpolation. A key reason for constructing these data sets is to provide a better representation of variability in ozone and water for model runs than have typically been used. 2

BDBP – “Binary Database of Profiles” (aka “Birgit’s Database of Biblical Proportions”) Available currently

BDBP – “Binary Database of Profiles” (aka “Birgit’s Database of Biblical Proportions”) Available currently at http: //www. bodekerscientific. com/, we are working at getting it freely available at a NOAA website. 3

BDBP • Several different satellite-instruments and ozonesondes • High resolution vertical profiles (so far

BDBP • Several different satellite-instruments and ozonesondes • High resolution vertical profiles (so far mainly measurements by occultation instruments - solar or stellar - and sondes) • Individual measurements saved on pre-defined database levels for pressure (70 levels), altitude (70 levels) and potential temperature (8 levels) • Each profile is stored in each of the different database grids • Ancillary data includes equivalent latitude and trop height • Includes NO 2, H 2 O, NO, CH 4, HCl, HF and aerosol extinction. • QC’d and percentage uncertainty estimates included • Monthly zonal averages as well • Filled regression fit (includes EESC, linear, QBO, solar and volcanic terms) 4

5

5

From Solomon et al, 2012 (GEOPHYSICAL RESEARCH LETTERS, VOL. 39, L 17706, doi: 10.

From Solomon et al, 2012 (GEOPHYSICAL RESEARCH LETTERS, VOL. 39, L 17706, doi: 10. 1029/2012 GL 052723, 2012 Currently in process: Similar calculations for polar ozone. 7

 SWOOSH Stratospheric Water and Oz. One Satellite Homogenized data set 1) Extend from

SWOOSH Stratospheric Water and Oz. One Satellite Homogenized data set 1) Extend from the tropopause to 1 mb 2) Monthly averaged data. 3) Latitude gridded and Equivalent latitude gridded 4) Pole to pole coverage. 5) A basis instrument is selected and corrections for offsets are determined. Currently in beta release (obtainable by request), after a publication is submitted in December it will be available on a NOAA CSD website 8

Why homogenization is needed. 9

Why homogenization is needed. 9

How did we pick a basis instrument? (data shifted to match Aura MLS) 10

How did we pick a basis instrument? (data shifted to match Aura MLS) 10

11

11

Data sets we’ve used: 1) SAGE II: 1985 -2005 2) HALOE: 1991 -2005 3)

Data sets we’ve used: 1) SAGE II: 1985 -2005 2) HALOE: 1991 -2005 3) Aura MLS: 2004 -present 4) UARS MLS: (water worked at the beginning of the mission) (and SAGE I for ozone) Zonal average time series gridded with respect to equivalent latitude Use of equivalent latitude allows greater latitudinal coverage. 12

Example of impact of adjustment Correlation without correction: 0. 79 Correlation with correction: 0.

Example of impact of adjustment Correlation without correction: 0. 79 Correlation with correction: 0. 91 13

 NH Mid latitude data (Boulder, CO, 40 N) 1992— 2001 NOAA FPH: 0.

NH Mid latitude data (Boulder, CO, 40 N) 1992— 2001 NOAA FPH: 0. 5 ppmv increase HALOE: no significant trend 14

Dessler trajectory run estimate of H 2 O over Boulder, currently we are comparing

Dessler trajectory run estimate of H 2 O over Boulder, currently we are comparing SWOOSH to these trajectory based reconstructions of water vapor. 15

shaded areas indicate trends are not significantly different from zero (by 3 -sigma) Comparisons

shaded areas indicate trends are not significantly different from zero (by 3 -sigma) Comparisons between SWOOSH and GOZCARDS O 3 (ozone symposium presentation by Ray Wang) 16

 SWOOSH changes 17

SWOOSH changes 17

See Davis and Rosenlof, 2012, J. Clim Ozone with tropopause metric tropical width estimates

See Davis and Rosenlof, 2012, J. Clim Ozone with tropopause metric tropical width estimates overplotted 18

There are other combined satellite data sets being compiled for both stratospheric ozone and

There are other combined satellite data sets being compiled for both stratospheric ozone and water. SPARC data initiative: goal is compiling information on ozone and species involved in ozone chemistry; this is not a homogenized data set. GOZCARDS: A NASA Measures program data set also looking at multiple species involved in stratospheric ozone chemistry There a number of European groups working on satellite compilations of ozone and water; water vapor satellite compilations will be included in an ongoing SPARC water vapor initiative (SHARP, Chalmers, KIT). SI 2 N: ask Neil Harris for details…goal is “to assess and extend the current knowledge and understanding of measurements of the vertical distribution of ozone, with the aim of providing input to the next WMO/UNEP Scientific Assessment of Ozone Depletion anticipated for 2014. “ 19

If interested in either of these data sets: contact me: Karen. H. Rosenlof@noaa. gov

If interested in either of these data sets: contact me: Karen. H. Rosenlof@noaa. gov Publications about or using the BDBP or SWOOSH Evan et al, (to be submitted to JGR) The representation of the TTL in a tropical channel version of the WRF model. Hassler et al. , 2012 (just submitted to ACP) Comparison of three vertically resolved ozone data bases: climatology, trend and their radiative forcing Hassler et al. , 2011, An assessment of changing ozone loss rates at South Pole: Twenty-five years of ozonesonde measurements, JGR, DOI: 10. 1029/2011 JD 016353 Hassler et al, 2011, Changes in the polar vortex: Effects on Antarctic total ozone observations at various stations, GRL, DOI: 10. 1029/2010 GL 045542 Karpechko et al, 2010, Quantitative assessment of Southern Hemisphere ozone in chemistry-climate model simulations, ACP, 10, Issue 3, pp 1385 -1400. (Also uses first version of SWOOSH) Hassler et al, 2009, A vertically resolved, monthly mean, ozone database from 1979 to 2100 for constraining global climate model simulations, International Journal of Remote Sensing Volume: DOI: 10. 1080/01431160902821874 Hassler et al, 2008, Technical Note: A new global database of trace gases and aerosols from multiple sources of high vertical resolution measurements, ACP, 8, Issue 17, pp 5403 -5421. Publications about or using SWOOSH: Rosenlof and Reid, 2008: Trends in the temperature and water-vapor content of the tropical lower stratosphere: The sea-surface connection, J. Geophys. Res. doi: 10. 1029/2007 JD 009109. Dall'Amico et al. , 2010: Impact of stratospheric variability on tropospheric climate change, Climate Dynamics, doi: 10. 1007/s 00382009 -0580 -1. Dall'Amico et al, 2010: Stratospheric temperature trends: impact of ozone variability and the QBO, Climate Dynamics, doi: 10. 1007/s 00382 -009 -0604 -x. Ray et al. , 2010: Evidence for Changes in Stratospheric Transport and Mixing Over the Past Three Decades Based on Multiple Datasets and Tropical Leaky Pipe Analysis, J. Geophys. Res. , doi: 10. 1029/2010 JD 014206. Solomon et al. , 2010: Contributions of Stratospheric Water Vapor Changes to Decadal Variations in the Rate of Global Warming, Science, 327, 1219 -1223. Davis and Rosenlof, (to be submitted to ACPD) Satellite based zonally averaged time series of stratospheric water vapor 20