Network for the Detection of Atmospheric Composition Change: Tracking Changes in the Earth’s Atmosphere Michael J. Kurylo, Geir O. Braathen, and Niels Larsen On behalf of the NDACC Science Team and the NDACC Steering Committee. Jonathon Berry. What is the NDACC?.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Network for the Detectionof Atmospheric Composition Change:Tracking Changes in theEarth’s AtmosphereMichael J. Kurylo, Geir O. Braathen, and Niels LarsenOn behalf of the NDACC Science Teamand the NDACC Steering Committee
Participation by more than 20 countries and still expanding
Regression analysis of O3/temperature measurements at Mauna Loa (1994-2006) using fit base functions: -QBO functions (mean zonal wind m/s) -Mean ENSO Index (empirical p/Ts-based) -F10.7 Solar index QBO is dominant, but solar cycle and ENSO signatures also have been identifiedon both lidar ozone and temperature data T. le Blanc, JPL
Goals of the NDACC
HCl, ClONO2, and derived Cly (R. Zander & E. Mahieu) compared to model predictions (M. Chipperfield) and to surface CCly measurements (R. Prinn)
F. Hendrick, M. De Mazière, M. Van Roozendael (BISA) P. V. Johnston, K. Kreher (NIWA)
Zvenigorod (56°N, 37°E)
Stratospheric column NO2 (1015 mol/cm2)
Lauder (45°S, 170°E)
Michel van Roozendael, BISA
Water vapour measurements from WVMS at Mauna Loa, and coincident measurements from MLS and HALOE.
G. Nedoluha (NRL) & N. Kampfer (U. Bern)
Temperature time series from lidar and SSU satellite measurements (40-45 km).Satellite trends 1988-2005 are small.Large statistical uncertainties for lidars trends
W. Randel, NCAR
Long term decrease in ozone has been responsible for 12-15% increase in the maximum summertime UV Index over Lauder, NZ.
Approximately half of the ozone depletion at mid-southern latitudes has been due to the export of ozone-poor air from Antarctica.
Update of McKenzie, Connor, and Bodeker, Science, 1999, 285, 1709-1711
Data Level 1.5
Period: August 1, 2005 – October 31 2006
4. To provide independent validations, calibrations, and complementary data for space-based sensors of the atmosphere
SAOZ UV-Visible Measurements: Sodankylä, Finland
Long-term validation is crucial!
F. Goutail (CNRS) and E. Kyrö (FMI)
NO2 satellite - Ground based intercomparisons from Tenerife (Northern subtropics)
Manuel Gil, INTA
Goals of the NDACC
SAOZ UV-Visible Network
F. Goutail, J. P. Pommereau + SAOZ team
CH4 March Thule
HCl March Lauder
and std. dev.
O3 July Lauder
Mozart 3 chemistry climate model in comparison with FTIR and ACE measurements
W. Randel, NCAR
A Commitment to Data Quality
Investigators subscribe to a protocol designed to ensure that archived data are of as high a quality as possible within the constraints of measurement technology and retrieval theory.
Instruments and data analysis methods are evaluated and continuously monitored.
Formal intercomparisons are used to evaluate algorithms and instruments.
Improvement of the data quality of the Dobson network during the past nearly 40 years.
U. Koehler (OMH)
Data submitted within one year
Data public available within two years of measurement
Many NDACC data available on shorter timescale via collaborative arrangement with the appropriate PI(s).
More than 35,000 files in data base
J. Wild & R. Lin (NOAA)
Water vapor in the UTLS
Closer collaboration with other networks such as SHADOZ
Establishment of more stations in the tropics
Provision of data in near-real-time
New informational leaflet
Annual newsletters now available
Ozone loss versus PSC formation potential (VPSC)VPSC: winter average volume of air cold enough for the formation of PSCs (e.g. -78oC in 18 km Altitude)
ozone loss [ DU ]
(ca. 13-25 km, January to March)
VPSC [ 106 km3 ]
update of Rex et al., GRL 2006;WMO 2007
comparison of lidar and
SSU trends for 1988-2005
Satellite trends are small
for this period.
Trends are changing
Large statistical uncertainties
for the lidars (only shown for
OHP curve, but similar for
Table Mountain is an outlier
(strong cooling, as seen in
the time series)
Keckhut et al.