scholarly journals Intercomparison of Ozone Vertical Profile Measurements by Differential Absorption Lidar and IASI/MetOp Satellite in the Upper Troposphere–Lower Stratosphere

2017 ◽  
Vol 9 (5) ◽  
pp. 447 ◽  
Author(s):  
Sergey Dolgii ◽  
Alexey Nevzorov ◽  
Alexey Nevzorov ◽  
Oleg Romanovskii ◽  
Olga Kharchenko
Keyword(s):  
Vertical Profile ◽  
Lower Stratosphere ◽  
Differential Absorption ◽  
Differential Absorption Lidar ◽  
Upper Troposphere

scholarly journals Evaluation of ECMWF water vapour fields by airborne differential absorption lidar measurements: a case study between Brazil and Europe

2007 ◽  
Vol 7 (19) ◽  
pp. 5033-5042 ◽  
Author(s):  
H. Flentje ◽  
A. Dörnbrack ◽  
A. Fix ◽  
G. Ehret ◽  
E. Hólm
Keyword(s):  
Water Vapour ◽  
Hadley Circulation ◽  
Convective Transport ◽  
Differential Absorption ◽  
Short Term ◽  
Differential Absorption Lidar ◽  
Air Mass ◽  
Back Trajectories ◽  
Air Masses ◽  
Upper Troposphere

Abstract. Three extended airborne Differential Absorption Lidar (DIAL) sections of tropospheric water vapour across the tropical and sub-tropical Atlantic in March 2004 are compared to short-term forecasts of the European Centre for Medium Range Weather Forecasts (ECMWF). The humidity fields between 28° S and 36° N exhibit large inter air-mass gradients and reflect typical transport patterns of low- and mid-latitudes like convection (e.g. Hadley circulation), subsidence and baroclinic development with stratospheric intrusion. These processes re-distribute water vapour vertically such that locations with extraordinary dry/moist air-masses are observed in the lower/upper troposphere, respectively. The mixing ratios range over 3 orders of magnitude. Back-trajectories are used to trace and characterize the observed air-masses. Overall, the observed water vapour distributions are largely reproduced by the short-term forecasts at 0.25° resolution (T799/L91), the correlation ranges from 0.69 to 0.92. Locally, large differences occur due to comparably small spatial shifts in presence of strong gradients. Systematic deviations are found associated with specific atmospheric domains. The planetary boundary layer in the forecast is too moist and to shallow. Convective transport of humidity to the middle and upper troposphere tends to be overestimated. Potential impacts arising from data assimilation and model physics are considered. The matching of air-mass boundaries (transport) is discussed with repect to scales and the representativity of the 2-D sections for the 3-D humidity field. The normalized bias of the model with respect to the observations is 6%, 11% and 0% (moist model biases) for the three along-flight sections, whereby however the lowest levels are excluded.

scholarly journals Evaluation of ECMWF water vapour analyses by airborne differential absorption lidar measurements: a case study between Brasil and Europe

2007 ◽  
Vol 7 (2) ◽  
pp. 4405-4425
Author(s):  
H. Flentje ◽  
A. Dörnbrack ◽  
A. Fix ◽  
G. Ehret ◽  
E. Hólm
Keyword(s):  
Water Vapour ◽  
Short Range ◽  
Deep Convection ◽  
Good Representation ◽  
Differential Absorption ◽  
Differential Absorption Lidar ◽  
Back Trajectories ◽  
Tropical Regions ◽  
Upper Troposphere ◽  
Range Forecasts

Abstract. Airborne Differential Absorption Lidar (DIAL) observations of tropospheric water vapour over Brazil and between Brazil and south Europe in March 2004 are compared to 1-hourly short-range forecasts of the European Centre for Medium Range Weather Forecasts (ECMWF). On three along-flight sections across the tropical and sub-tropical Atlantic between 28° S and 37° N humidity fields are observed which represent typical low latitude conditions. H2O mixing ratios vary between q≈0.01–0.1 g/kg in the upper troposphere (UT), in subsiding air layers and a stratospheric intrusion. They reach up to 0.5 g/kg at UT levels inside the Intertropical Convergence Zone (ITCZ) and exceed 10 g/kg at lower levels. Back-trajectories reveal that the humidity fields are largely determined by transport. The observed water vapour distributions are properly reproduced by 1-hourly ECMWF Integrated Forecasting System (IFS) short-range forecasts at T799/L91 spectral resolution. As transport largely determines the water vapour fields, the IFS skill is to a large extend based on a good representation of the dynamics. The mean relative bias accounts to few percent (0%, 3% and 6% for the three sections) being about or even below the accuracy of the DIAL measurements of 5%. The larger deviations between analyses and observations on small scales are due to relative spatial shifts of features with large gradients. The correlation is quite high, ranging between 0.71 and 0.88. Over sea the analyses tend to underestimate the PBL height. At mid-levels near deep convection the mid-troposphere tends to be analyzed too humid indicating shortcomings in the convection parameterization. Humid tendencies are also found in the upper troposphere, particularly in tropical regions.

scholarly journals Measurements of Ozone Vertical Profiles in the Upper Troposphere–Stratosphere over Western Siberia by DIAL, MLS, and IASI

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 196 ◽  
Author(s):  
Sergey Dolgii ◽  
Alexey A. Nevzorov ◽  
Alexey V. Nevzorov ◽  
Yurii Gridnev ◽  
Olga Kharchenko
Keyword(s):  
Vertical Distribution ◽  
Satellite Data ◽  
Western Siberia ◽  
Vertical Profiles ◽  
Altitude Range ◽  
Differential Absorption ◽  
Differential Absorption Lidar ◽  
Upper Troposphere ◽  
Lidar Measurements

The purpose of this work is to measure the ozone vertical distribution (OVD) in the upper troposphere–stratosphere by differential absorption lidar (DIAL) at 299/341 nm and 308/353 nm and to compare and analyze the results against satellite data. А lidar complex for measuring the OVD in the altitude range ≈(5–45) km has been created. Here we analyze the results of ozone lidar measurements at wavelengths of 299/341 nm and 308/353 nm in 2018 at Siberian Lidar Station (SLS) and compare them with satellite (MLS/Aura and IASI/MetOp) measurements of OVD. The retrieved lidar OVD profiles in the upper troposphere–stratosphere in comparison with MLS/Aura and IASI/MetOp profiles, as well as the stitched OVD profile in comparison with the mid-latitude Krueger model, confirm the prospects of using the pairs of ozone sounding wavelengths 299/341 and 308/353 nm.

scholarly journals Lidar investigations of ozone in the upper troposphere – lower stratosphere: technique and results of measurements

2018 ◽  
Vol 176 ◽  
pp. 05054
Author(s):  
Oleg A. Romanovskii ◽  
Alexey A. Nevzorov ◽  
Alexey V. Nevzorov ◽  
Olga V. Kharchenko
Keyword(s):  
Satellite Data ◽  
Lower Stratosphere ◽  
Absorption Method ◽  
Differential Absorption ◽  
Upper Troposphere ◽  
Ozone Distribution ◽  
Measurement Results ◽  
Vertical Ozone ◽  
Differential Absorption Method ◽  
Vertical Ozone Distribution

The main aim of the research is to develop the technique for laser remote ozone sensing in the upper troposphere – lower stratosphere by differential absorption method for temperature and aerosol correction and analysis of measurement results. The authors have determined wavelengths, promising to measure ozone profiles in the upper troposphere – lower stratosphere. We present the results of DIAL measurements of the vertical ozone distribution at the Siberian lidar station in Tomsk. The recovered ozone profiles were compared with IASI satellite data and Kruger model.

A differential-absorption lidar for ozone sensing in the upper atmosphere-lower stratosphere

2010 ◽  
Vol 53 (6) ◽  
pp. 886-889 ◽  
Author(s):  
V. D. Burlakov ◽  
S. I. Dolgii ◽  
A. P. Makeev ◽  
A. V. Nevzorov ◽  
O. A. Romanovskii ◽  
...  
Keyword(s):  
Lower Stratosphere ◽  
Upper Atmosphere ◽  
Differential Absorption ◽  
Differential Absorption Lidar

A rapidly tunable TEA CO 2 laser for differential absorption lidar

2005 ◽  
Author(s):  
Yanchen Qu ◽  
Deming Ren ◽  
Li-Li Zhang ◽  
Xiaoyong Hu ◽  
Fengmei Liu
Keyword(s):  
Differential Absorption ◽  
Differential Absorption Lidar

scholarly journals Differential absorption lidar for volcanic CO_2 sensing tested in an unstable atmosphere

2015 ◽  
Vol 23 (5) ◽  
pp. 6634 ◽  
Author(s):  
Manuel Queißer ◽  
Mike Burton ◽  
Luca Fiorani
Keyword(s):  
Differential Absorption ◽  
Differential Absorption Lidar
Sign in / Sign up

Export Citation Format

Share Document