Retrieval of HCFC-142b (CH 3 CClF 2 ) from ground-based high-resolution infrared solar spectra: Atmospheric increase since 1989 and comparison with surface and satellite measurements

2017 ◽  
Vol 186 ◽  
pp. 96-105 ◽  
Author(s):  
Emmanuel Mahieu ◽  
Bernard Lejeune ◽  
Benoît Bovy ◽  
Christian Servais ◽  
Geoffrey C. Toon ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Measurements ◽  
Hcfc 142B

scholarly journals Estimates of lightning NO<sub><i>x</i></sub> production based on high-resolution OMI NO<sub>2</sub> retrievals over the continental US

2020 ◽  
Vol 13 (4) ◽  
pp. 1709-1734 ◽  
Author(s):  
Xin Zhang ◽  
Yan Yin ◽  
Ronald van der A ◽  
Jeff L. Lapierre ◽  
Qian Chen ◽  
...  
Keyword(s):  
High Resolution ◽  
Nitrogen Oxides ◽  
Production Efficiency ◽  
Careful Consideration ◽  
Weather Research And Forecasting ◽  
Retrieval Algorithm ◽  
Strong Impact ◽  
Ozone Monitoring Instrument ◽  
Satellite Measurements ◽  
Total Lightning

Abstract. Lightning serves as the dominant source of nitrogen oxides (NOx=NO+NO2) in the upper troposphere (UT), with a strong impact on ozone chemistry and the hydroxyl radical production. However, the production efficiency (PE) of lightning nitrogen oxides (LNOx) is still quite uncertain (32–1100 mol NO per flash). Satellite measurements are a powerful tool to estimate LNOx directly compared to conventional platforms. To apply satellite data in both clean and polluted regions, a new algorithm for calculating LNOx has been developed that uses the Berkeley High-Resolution (BEHR) v3.0B NO2 retrieval algorithm and the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). LNOx PE over the continental US is estimated using the NO2 product of the Ozone Monitoring Instrument (OMI) data and the Earth Networks Total Lightning Network (ENTLN) data. Focusing on the summer season during 2014, we find that the lightning NO2 (LNO2) PE is 32±15 mol NO2 per flash and 6±3 mol NO2 per stroke while LNOx PE is 90±50 mol NOx per flash and 17±10 mol NOx per stroke. Results reveal that our method reduces the sensitivity to the background NO2 and includes much of the below-cloud LNO2. As the LNOx parameterization varies in studies, the sensitivity of our calculations to the setting of the amount of lightning NO (LNO) is evaluated. Careful consideration of the ratio of LNO2 to NO2 is also needed, given its large influence on the estimation of LNO2 PE.

scholarly journals Estimates of turbulent diffusivities and energy dissipation rates from satellite measurements of spectra of stratospheric refractivity perturbations

2013 ◽  
Vol 13 (23) ◽  
pp. 12107-12116 ◽  
Author(s):  
N. M. Gavrilov
Keyword(s):  
Energy Dissipation ◽  
High Resolution ◽  
Satellite Measurements ◽  
Wave Dissipation ◽  
Individual Values ◽  
Dissipation Rates ◽  
Turbulent Characteristics ◽  
Low Latitudes ◽  
Stellar Scintillation ◽  
Balloon Measurements

Abstract. Approaches for estimations of effective turbulent diffusion and energetic parameters from characteristics of anisotropic and isotropic spectra of perturbations of atmospheric refractivity, density and temperature are developed. The approaches are applied to the data obtained with the GOMOS instrument for measurements of stellar scintillations on-board the Envisat satellite to estimate turbulent Thorpe scales, LT, diffusivities, K, and energy dissipation rates, &amp;varepsilon;, in the stratosphere. At low latitudes, effective values are LT ~ 1–1.1 m, &amp;varepsilon; ~ (1.8–2.4) × 10−5 W kg−1, and K ~ (1.2–1.6) × 10−2 m2 s−1 at altitudes of 30–45 km in September–November 2004, depending on different assumed values of parameters of anisotropic and isotropic spectra. Respective standard deviations of individual values, including all kinds of variability, are δLT ~ 0.6–0.7 m, δ&amp;varepsilon; ~ (2.3–3.5) × 10−2 W kg−1, and δK ~ (1.7–2.6) × 10−2 m2 s−1. These values correspond to high-resolution balloon measurements of turbulent characteristics in the stratosphere, and to previous satellite stellar scintillation measurements. Distributions of turbulent characteristics at altitudes of 30–45 km in low latitudes have maxima at longitudes corresponding to regions of increased gravity wave dissipation over locations of stronger convection. Correlations between parameters of anisotropic and isotropic spectra are evaluated.

High-resolution satellite measurements of coastal wind field and sea state

2012 ◽  
Vol 33 (23) ◽  
pp. 7337-7360 ◽  
Author(s):  
Susanne Lehner ◽  
Andrey Pleskachevsky ◽  
Miguel Bruck
Keyword(s):  
High Resolution ◽  
Wind Field ◽  
Satellite Measurements ◽  
Sea State

scholarly journals Systematic detection of local CH<sub>4</sub> anomalies by combining satellite measurements with high-resolution forecasts

2021 ◽  
Vol 21 (6) ◽  
pp. 5117-5136
Author(s):  
Jérôme Barré ◽  
Ilse Aben ◽  
Anna Agustí-Panareda ◽  
Gianpaolo Balsamo ◽  
Nicolas Bousserez ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Observations ◽  
Anthropogenic Emissions ◽  
Synoptic Scale ◽  
Satellite Measurements ◽  
Satellite Retrieval ◽  
Quantitative Manner ◽  
Ch4 Concentration ◽  
Monitoring Service ◽  
Total Column

Abstract. In this study, we present a novel monitoring methodology that combines satellite retrievals and forecasts to detect local CH4 concentration anomalies worldwide. These anomalies are caused by rapidly changing anthropogenic emissions that significantly contribute to the CH4 atmospheric budget and by biases in the satellite retrieval data. The method uses high-resolution (7 km × 7 km) retrievals of total column CH4 from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel 5 Precursor satellite. Observations are combined with high-resolution CH4 forecasts (∼ 9 km) produced by the Copernicus Atmosphere Monitoring Service (CAMS) to provide departures (observations minus forecasts) at close to the satellite's native resolution at appropriate time. Investigating these departures is an effective way to link satellite measurements and emission inventory data in a quantitative manner. We perform filtering on the departures to remove the synoptic-scale and meso-alpha-scale biases in both forecasts and satellite observations. We then apply a simple classification scheme to the filtered departures to detect anomalies and plumes that are missing (e.g. pipeline or facility leaks), underreported or overreported (e.g. depleted drilling fields) in the CAMS emissions. The classification method also shows some limitations to detect emission anomalies only due to local satellite retrieval biases linked to albedo and scattering issues.

Questions on optimization of cadastre measurements using the satellite images of super high resolution

2018 ◽  
Vol 931 (1) ◽  
pp. 43-46
Author(s):  
S.A. Ganiyeva ◽  
C.G. Tanirverdiyev ◽  
S.M. Abbasova
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Satellite Images ◽  
Total Error ◽  
Satellite Measurements ◽  
Geometric Distortions ◽  
Optimization Task ◽  
Serial Measurements

Satellite images of high and super high resolution make it possible utilization of these images for purpose of cadastre measurements. Preprocessing of satellite data include also carrying out of ortho-rectification operation which does mean removal of geometric distortions occurred due tosensors orientation and the relief non-evennes. It is shown that curves of distribution of measurements error on number of land plots developed on the basis of such satellite data as CARTOSAT-2and GEO-EYEcan be characterized using unique limitation condition. The optimization task taking into account the said limitation condition and allowing to calculate the total amount of error of serial satellite measurements with increasing number of studied land plots is formulated. The solution of formulated optimization task does show that upon such organization of serial measurements utilization of else more geometric resolution make it possible to achieve the minimum total error of cadastre measurements.

scholarly journals Systematic detection of local CH<sub>4</sub> emissions anomalies combining satellite measurements and high-resolution forecasts

2020 ◽  
Author(s):  
Jérôme Barré ◽  
Ilse Aben ◽  
Anna Agustí-Panareda ◽  
Gianpaolo Balsamo ◽  
Nicolas Bousserez ◽  
...  
Keyword(s):  
High Resolution ◽  
Land Surface ◽  
Large Scale ◽  
Satellite Observations ◽  
Satellite Measurements ◽  
Satellite Retrieval ◽  
Quantitative Manner ◽  
Ch4 Concentration ◽  
Monitoring Service ◽  
Total Column

Abstract. In this study we present a novel monitoring methodology to detect local CH4 concentration anomalies worldwide that are related to rapidly changing anthropogenic emissions that significantly contribute to the CH4 atmospheric budget. The method uses high resolution (7 km × 7 km) retrievals of total column CH4 from the Tropospheric Monitoring Instrument (TROPOMI) onboard the Sentinel 5 Precursor satellite. Observations are combined with high resolution CH4 forecasts (~ 9 km) produced by the Copernicus Atmosphere Monitoring Service (CAMS) to provide departures (observations minus forecasts) close to the native satellite resolution at appropriate time. Investigating the departures is an effective way to link satellite measurements and emission inventory data in a quantitative manner. We perform filtering on the departures to remove the large-scale biases on both forecasts and satellite observations. We then use a simple classification on the filtered departures to detect anomalies and plumes coming from CAMS emissions that are missing (e.g. pipeline or facility leaks), under-reported or over-reported (e.g. depleted drilling fields). Additionally, the classification helps to detect local satellite retrieval errors due to land surface albedo issues.

scholarly journals Turbulent diffusivities and energy dissipation rates in the stratosphere from GOMOS satellite stellar scintillation measurements

2013 ◽  
Vol 13 (7) ◽  
pp. 18007-18030
Author(s):  
N. M. Gavrilov
Keyword(s):  
Energy Dissipation ◽  
High Resolution ◽  
Satellite Measurements ◽  
Individual Values ◽  
Dissipation Rates ◽  
Turbulent Characteristics ◽  
Low Latitudes ◽  
Standard Deviations ◽  
Stellar Scintillation ◽  
Balloon Measurements

Abstract. Parameters of anisotropic and isotropic spectra of refractivity, density and temperature perturbations obtained from GOMOS satellite measurements of stellar scintillations are used to estimate turbulent Thorpe scales, LT, diffusivities, K, and energy dissipation rates, ε, in the stratosphere. At low latitudes, average values for altitudes 30–45 km in September–November 2004 are LT~1–1.1 m, ε~(1.8–2.4)×10−5 W kg−1, and K ~ (1.2–1.6) × 10−2 m2 s−1 depending on different assumed values of parameters of anisotropic and isotropic spectra. Respective standard deviations of individual values including all kinds of variability are δLT ~ 0.6–0.7 m, δε ~(2.3–3.5)×10−5 W kg−1, and δK ~ (1.7–2.6)×10−2 m2 s−1. These values correspond to high-resolution balloon measurements of turbulent characteristics in the stratosphere, and to previous satellite stellar scintillation measurements. Distributions of turbulent characteristics at altitudes 30–45 km in low latitudes have maxima at longitudes 30–100° W, 0–60° E and 90–180° E, which correspond to continent locations. Correlations between parameters of anisotropic and isotropic spectra are studied.

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