Trajectory hunting as an effective technique to validate multiplatform measurements: Analysis of the MLS, HALOE, SAGE‐II, ILAS, and POAM‐II data in October–November 1996

Danilin, M. Y.

doi:10.1029/2001jd002012

Cited by 36 publications

(51 citation statements)

References 58 publications

(97 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…No matching pair is available for comparison, if we apply our baseline criteria for maximum temporal and spatial separation. As a consequence, we decided in the current work to exploit the two sets of correlative balloon data, using a Trajectory Hunting Technique (THT) (Danilin et al, 2002) that launches backward and forward trajectories from the locations of measurements and finds air parcels sampled at least twice within a prescribed match criterion during the course of several days. A similar procedure was applied for comparison of MIPAS ozone profiles with both FIRS-2 and IBEX measurements, relying on isentropic trajectories calculated using the University of L'Aquila Global Trajectory Model (Redaelli, 1997;Dragani et al, 2002), on the base of ECMWF meteorological fields.…”

Section: Results Of the Comparisonmentioning

confidence: 99%

Geophysical validation of MIPAS-ENVISAT operational ozone data

Cortesi

Lambert²,

Clercq³

et al. 2007

Atmos. Chem. Phys.

128

View full text Add to dashboard Cite

Abstract. The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), on-board the European ENVIronmental SATellite (ENVISAT) launched on 1 March 2002, is a middle infrared Fourier Transform spectrometer measuring the atmospheric emission spectrum in limb sounding geometry. The instrument is capable to retrieve the vertical distribution of temperature and trace gases, aiming at the study of climate and atmospheric chemistry and dynamics, and at applications to data assimilation and weather forecasting.Correspondence to: U. Cortesi (u.cortesi@ifac.cnr.it) MIPAS operated in its standard observation mode for approximately two years, from July 2002 to March 2004, with scans performed at nominal spectral resolution of 0.025 cm −1 and covering the altitude range from the mesosphere to the upper troposphere with relatively high vertical resolution (about 3 km in the stratosphere). Only reduced spectral resolution measurements have been performed subsequently. MIPAS data were re-processed by ESA using updated versions of the Instrument Processing Facility (IPF v4.61 and v4.62) (and, to a lesser extent, v4.62) O 3 VMR profiles and a comprehensive set of correlative data, including observations from ozone sondes, ground-based lidar, FTIR and microwave radiometers, remote-sensing and in situ instruments on-board stratospheric aircraft and balloons, concurrent satellite sensors and ozone fields assimilated by the European Center for Medium-range Weather Forecasting.A coordinated effort was carried out, using common criteria for the selection of individual validation data sets, and similar methods for the comparisons. This enabled merging the individual results from a variety of independent reference measurements of proven quality (i.e. well characterized error budget) into an overall evaluation of MIPAS O 3 data quality, having both statistical strength and the widest spatial and temporal coverage. Collocated measurements from ozone sondes and ground-based lidar and microwave radiometers of the Network for the Detection Atmospheric Composition Change (NDACC) were selected to carry out comparisons with time series of MIPAS O 3 partial columns and to identify groups of stations and time periods with a uniform pattern of ozone differences, that were subsequently used for a vertically resolved statistical analysis. The results of the comparison are classified according to synoptic and regional systems and to altitude intervals, showing a generally good agreement within the comparison error bars in the upper and middle stratosphere. Significant differences emerge in the lower stratosphere and are only partly explained by the larger contributions of horizontal and vertical smoothing differences and of collocation errors to the total uncertainty. Further results obtained from a purely statistical analysis of the same data set from NDACC ground-based lidar stations, as well as from additional ozone soundings at middle latitudes and from NDACC ground-based FTIR measurements, confirm the validity of MIPAS O 3 profil...

show abstract

Section: Results Of the Comparisonmentioning

confidence: 99%

Geophysical validation of MIPAS-ENVISAT operational ozone data

Cortesi

Lambert²,

Clercq³

et al. 2007

Atmos. Chem. Phys.

128

View full text Add to dashboard Cite

show abstract

“…The approach has also been applied to observations from spaceborne solar occultation sounders (e.g., Sasano et al, 2000;Terao et al, 2002Terao et al, , 2012Hoppel et al, 2005). Similar techniques have been used in a variety of other studies, including quantification of chemical kinetics constants from observations in the polar vortex (von Hobe et al, 2007;Schofield et al, 2008;Sumińska-Ebersoldt et al, 2012); studies of PSC formation, chlorine activation and denitrification (e.g., Danilin et al, 2000;Santee et al, 2002;Rivière et al, 2003); dehydration processes occurring in the tropical tropopause layer (Inai et al, 2013); long-range transport of tropospheric pollutants (e.g., Methven et al, 2006); and validation of satellite observations (e.g., Morris et al, 2002;Danilin et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

A Match-based approach to the estimation of polar stratospheric ozone loss using Aura Microwave Limb Sounder observations

2015

View full text Add to dashboard Cite

Abstract. The well-established "Match" approach to quantifying chemical destruction of ozone in the polar lower stratosphere is applied to ozone observations from the Microwave Limb Sounder (MLS) on NASA's Aura spacecraft. Quantification of ozone loss requires distinguishing transport-and chemically induced changes in ozone abundance. This is accomplished in the Match approach by examining cases where trajectories indicate that the same air mass has been observed on multiple occasions. The method was pioneered using ozonesonde observations, for which hundreds of matched ozone observations per winter are typically available. The dense coverage of the MLS measurements, particularly at polar latitudes, allows matches to be made to thousands of observations each day. This study is enabled by recently developed MLS Lagrangian trajectory diagnostic (LTD) support products. Sensitivity studies indicate that the largest influence on the ozone loss estimates are the value of potential vorticity (PV) used to define the edge of the polar vortex (within which matched observations must lie) and the degree to which the PV of an air mass is allowed to vary between matched observations. Applying Match calculations to MLS observations of nitrous oxide, a long-lived tracer whose expected rate of change is negligible on the weekly to monthly timescales considered here, enables quantification of the impact of transport errors on the Match-based ozone loss estimates. Our loss estimates are generally in agreement with previous estimates for selected Arctic winters, though indicating smaller losses than many other studies. Arctic ozone losses are greatest during the 2010/11 winter, as seen in prior studies, with 2.0 ppmv (parts per million by volume) loss estimated at 450 K potential temperature ( ∼ 18 km altitude).As expected, Antarctic winter ozone losses are consistently greater than those for the Arctic, with less interannual variability (e.g., ranging between 2.3 and 3.0 ppmv at 450 K). This study exemplifies the insights into atmospheric processes that can be obtained by applying the Match methodology to a densely sampled observation record such as that from Aura MLS.

show abstract

“…In a companion paper (Staufer et al, 2013), we test and apply this method of comparisons between aircraft measurements from both MOZAIC and NOXAR aircraft and ozonesonde data from Payerne, Switzerland. Here, we summarise just the main points of this method, which is similar to the trajectory match technique used by Rex et al (1998) or the trajectory hunting technique described by Danilin et al (2002). After reconstructing the sonde's flight path using wind data (speed and direction) from the radiosonde, the trajectory tool LAGRANTO (Wernli and Davies, 1997) is used to calculate 6 day forward and backward trajectories for each sounding.…”

Section: Mozaic Ozone Observationsmentioning

confidence: 99%

Trajectory matching of ozonesondes and MOZAIC measurements in the UTLS – Part 2: Application to the global ozonesonde network

et al. 2014

View full text Add to dashboard Cite

Abstract. Both balloon-borne electrochemical ozonesondes and MOZAIC (measurements of ozone, water vapour, carbon monoxide and nitrogen oxides by in-service Airbus aircraft) provide very valuable data sets for ozone studies in the upper troposphere/lower stratosphere (UTLS). Although MOZAIC's highly accurate UV-photometers are regularly inspected and recalibrated annually, recent analyses cast some doubt on the long-term stability of their ozone analysers. To investigate this further, we perform a 16 yr comparison (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)) of UTLS ozone measurements from balloon-borne ozonesondes and MOZAIC. The analysis uses fully three-dimensional trajectories computed from ERA-Interim (European Centre for Medium-Range Weather Forecasts Re-analysis) wind fields to find matches between the two measurement platforms. Although different sensor types (Brewer-Mast and Electrochemical Concentration Cell ozonesondes) were used, most of the 28 launch sites considered show considerable differences of up to 25 % compared to MOZAIC in the mid-1990s, followed by a systematic tendency to smaller differences of around 5-10 % in subsequent years. The reason for the difference before 1998 remains unclear, but observations from both sondes and MOZAIC require further examination to be reliable enough for use in robust long-term trend analyses starting before 1998. According to our analysis, ozonesonde measurements at tropopause altitudes appear to be rather insensitive to changing the type of the Electrochemical Concentration Cell ozonesonde, provided the cathode sensing solution strength remains unchanged. Scoresbysund (Greenland) showed systematically 5 % higher readings after changing from Science Pump Corporation sondes to ENSCI Corporation sondes, while a 1.0 % KI cathode electrolyte was retained.

show abstract

Trajectory hunting as an effective technique to validate multiplatform measurements: Analysis of the MLS, HALOE, SAGE‐II, ILAS, and POAM‐II data in October–November 1996

Cited by 36 publications

References 58 publications

Geophysical validation of MIPAS-ENVISAT operational ozone data

Geophysical validation of MIPAS-ENVISAT operational ozone data

A Match-based approach to the estimation of polar stratospheric ozone loss using Aura Microwave Limb Sounder observations

Trajectory matching of ozonesondes and MOZAIC measurements in the UTLS – Part 2: Application to the global ozonesonde network

Contact Info

Product

Resources

About