Climatology of the middle-atmosphere temperature from long-term lidar measurements at mid and low latitudes

1998 ◽  
Author(s):  
I. S. McDermid ◽  
Thierry Leblanc ◽  
Philippe Keckhut ◽  
Alain Hauchecorne ◽  
Chiao Y. She ◽  
...  
Keyword(s):  
Middle Atmosphere ◽  
Lidar Measurements ◽  
Low Latitudes ◽  
Atmosphere Temperature

scholarly journals Temperature climatology of the middle atmosphere from long-term lidar measurements at middle and low latitudes

1998 ◽  
Vol 103 (D14) ◽  
pp. 17191-17204 ◽  
Author(s):  
Thierry Leblanc ◽  
I. Stuart McDermid ◽  
Philippe Keckhut ◽  
Alain Hauchecorne ◽  
C. Y. She ◽  
...  
Keyword(s):  
Middle Atmosphere ◽  
Lidar Measurements ◽  
Low Latitudes

scholarly journals Lidar temperature series in the middle atmosphere as a reference data set. Part A: Improved retrievals and a 20 year cross-validation of two co-located French lidars

2018 ◽  
Author(s):  
Robin Wing ◽  
Alain Hauchecorne ◽  
Philippe Keckhut ◽  
Sophie Godin-Beekmann ◽  
Sergey Khaykin ◽  
...  
Keyword(s):  
Cross Validation ◽  
Middle Atmosphere ◽  
A Priori ◽  
Treatment Algorithm ◽  
Absolute Temperature ◽  
Atmospheric Composition ◽  
Data Set ◽  
Lidar Measurements ◽  
Ground Based Lidar

Abstract. The objective of this paper and its companion (Wing et al., 2018b) is to show that ground based lidar temperatures are a stable, accurate and precise dataset for use in validating satellite temperatures at high vertical resolution. Long-term lidar observations of the middle atmosphere have been conducted at the Observatoire de Haute-Provence (OHP), located in southern France (43.93° N, 5.71° E), since 1978. Making use of 20 years of high-quality co-located lidar measurements we have shown that lidar temperatures calculated using the Rayleigh technique at 532 nm are statistically identical to lidar temperatures calculated from the non-absorbing 355 nm channel of a Differential Absorption Lidar (DIAL) system. This result is of interest to members of the Network for the Detection of Atmospheric Composition Change (NDACC) ozone lidar community seeking to produce validated temperature products. Additionally, we have addressed previously published concerns of lidar-satellite relative warm bias in comparisons of Upper Mesospheric and Lower Thermospheric (UMLT) temperature profiles. We detail a data treatment algorithm which minimizes known errors due to data selection procedures, a priori choices, and initialization parameters inherent in the lidar retrieval. Our algorithm results in a median cooling of the lidar calculated absolute temperature profile by 20 K at 90 km altitude with respect to the standard OHP NDACC lidar temperature algorithm. The confidence engendered by the long-term cross-validation of two independent lidars and the improved lidar temperature dataset is exploited in (Wing et al., 2018b) for use in multi-year satellite validations.

scholarly journals Long‐Term Variability and Tendencies in Middle Atmosphere Temperature and Zonal Wind From WACCM6 Simulations During 1850–2014

2020 ◽  
Vol 125 (24) ◽  
Author(s):  
K. Ramesh ◽  
Anne K. Smith ◽  
Rolando R. Garcia ◽  
Daniel R. Marsh ◽  
S. Sridharan ◽  
...  
Keyword(s):  
Zonal Wind ◽  
Middle Atmosphere ◽  
Atmosphere Temperature

scholarly journals Meteor heights during the recent solar minimum

2014 ◽  
Vol 12 ◽  
pp. 161-165 ◽  
Author(s):  
Ch. Jacobi
Keyword(s):  
Solar Cycle ◽  
Solar Minimum ◽  
Middle Atmosphere ◽  
Low Frequency ◽  
Late Summer ◽  
Vhf Radar ◽  
Linear Temperature ◽  
Reflection Height ◽  
Atmosphere Temperature

Abstract. Average meteor heights have been continuously observed using a SKiYMET VHF radar at Collm (51.3° N, 13.0° E) since late summer of 2004. Initially, the daily mean meteor height was about 89.4 km. Since that time, average meteor heights have decreased. This is consistent with earlier results on middle atmosphere temperature change from the literature and from earlier results of low-frequency reflection height changes measured at Kühlungsborn and Collm. During the recent solar minimum 2008/2009 the meteor heights further decreased. Linear fitting of a trend and a solar cycle to the heights reveals a linear decrease of about −56 m year−1 and a solar cycle effect of +450 m per 100 sfu. Assuming that meteor heights, on a long-term average, approximately refer to a level of constant pressure, this decrease can be converted to a mean middle atmosphere linear temperature decrease of −0.23 K year−1 and a solar cycle effect of +1.8 K per 100 sfu during the last decade, which is in the range of observed trends reported in the literature.

scholarly journals Polar middle atmosphere temperature climatology from Rayleigh lidar measurements at ALOMAR (69° N)

2008 ◽  
Vol 26 (7) ◽  
pp. 1681-1698 ◽  
Author(s):  
A. Schöch ◽  
G. Baumgarten ◽  
J. Fiedler
Keyword(s):  
Middle Atmosphere ◽  
Lidar Data ◽  
Temperature Profiles ◽  
Raman Lidar ◽  
Data Set ◽  
Unique Data ◽  
Falling Sphere ◽  
Lidar Measurements ◽  
Atmosphere Temperature ◽  
Rayleigh Lidar

Abstract. Rayleigh lidar temperature profiles have been derived in the polar middle atmosphere from 834 measurements with the ALOMAR Rayleigh/Mie/Raman lidar (69.3° N, 16.0° E) in the years 1997–2005. Since our instrument is able to operate under full daylight conditions, the unique data set presented here extends over the entire year and covers the altitude region 30 km–85 km in winter and 30 km–65 km in summer. Comparisons of our lidar data set to reference atmospheres and ECMWF analyses show agreement within a few Kelvin in summer but in winter higher temperatures below 55 km and lower temperatures above by as much as 25 K, due likely to superior resolution of stratospheric warming and associated mesospheric cooling events. We also present a temperature climatology for the entire lower and middle atmosphere at 69° N obtained from a combination of lidar measurements, falling sphere measurements and ECMWF analyses. Day to day temperature variability in the lidar data is found to be largest in winter and smallest in summer.

scholarly journals Lidar temperature series in the middle atmosphere as a reference data set – Part 1: Improved retrievals and a 20-year cross-validation of two co-located French lidars

2018 ◽  
Vol 11 (10) ◽  
pp. 5531-5547 ◽  
Author(s):  
Robin Wing ◽  
Alain Hauchecorne ◽  
Philippe Keckhut ◽  
Sophie Godin-Beekmann ◽  
Sergey Khaykin ◽  
...  
Keyword(s):  
Cross Validation ◽  
Middle Atmosphere ◽  
A Priori ◽  
Treatment Algorithm ◽  
Absolute Temperature ◽  
Atmospheric Composition ◽  
Data Set ◽  
Lidar Measurements ◽  
Ground Based Lidar

Abstract. The objective of this paper and its companion (Wing et al., 2018) is to show that ground-based lidar temperatures are a stable, accurate, and precise data set for use in validating satellite temperatures at high vertical resolution. Long-term lidar observations of the middle atmosphere have been conducted at the Observatoire de Haute-Provence (OHP), located in southern France (43.93∘ N, 5.71∘ E), since 1978. Making use of 20 years of high-quality co-located lidar measurements, we have shown that lidar temperatures calculated using the Rayleigh technique at 532 nm are statistically identical to lidar temperatures calculated from the non-absorbing 355 nm channel of a differential absorption lidar (DIAL) system. This result is of interest to members of the Network for the Detection of Atmospheric Composition Change (NDACC) ozone lidar community seeking to produce validated temperature products. Additionally, we have addressed previously published concerns of lidar–satellite relative warm bias in comparisons of upper-mesospheric and lower-thermospheric (UMLT) temperature profiles. We detail a data treatment algorithm which minimizes known errors due to data selection procedures, a priori choices, and initialization parameters inherent in the lidar retrieval. Our algorithm results in a median cooling of the lidar-calculated absolute temperature profile by 20 K at 90 km altitude with respect to the standard OHP NDACC lidar temperature algorithm. The confidence engendered by the long-term cross-validation of two independent lidars and the improved lidar temperature data set is exploited in Wing et al. (2018) for use in multi-year satellite validations.

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