USU-CSU Na Lidar Data

Creators

Tao Yuan, Utah State UniversityFollow

Description

The naturally existing mesospheric Na layer, overlapping the upper mesosphere and lower thermosphere, provides an excellent tracer for lidar remote sensing. The Na Doppler lidar technique is designed to measure neutral temperature and wind profiles in the mesopause region (~ 80-110 km) by observing the thermal broadening and Doppler shift of the atomic Na fluorescence spectrum. Relocated from Colorado State University (CSU), the Na lidar at Utah State University (USU) has been operating since the summer of 2010, for roughly 1000 hours per year. Enabled by a pair of Faraday filters, it has a unique daytime observation capability to study not only small-scale dynamics features, but also large scale tidal and planetary wave activities. Combined with the lidar database at CSU, this project has the longest mesopause region temperature database in the world (32 years and counting). This invaluable database has enabled several long-term trend studies in the upper atmosphere, which is mostly related to the increasing CO₂ diffusion from the troposphere into the upper atmosphere and the stratosphere contraction.

The CSU observations of Na density and temperature from 80-100 km started on Aug. 25, 1989, in Fort Collins, CO (40.6N, 105.1W) and ended in Mar 2010 before relocating to Logan Utah. From 1990 to 2001, the lidar deployed one vertical, two-frequency beam. By 1996 the development of the three-frequency technique and the Na Faraday filter upgraded the system to include line-of-sight (LOS) wind measurement and capability for observation under sunlit conditions. Tilting and directing multiple beams in different directions allows measurements of temperature, sodium density, and line-of-sight wind at the specified directions both day and night, weather permitting. In August 2015 data were analyzed with the regular resolution at 60 min and 2 km (see http://millstonehill.haystack.mit.edu), and the nocturnal data in higher resolution, at 10 min and 1 km for data between 1990 and 2005. The analysis of CSU data after September 2006 at the higher resolution of 1 km and depending on the size of the receiving telescope used, either at 10 min or at 2.5 min can be found in this site.

The user of this dataset is required to acknowledge the source: ’Data used with permission from “USU-CSU Na Lidar” (https://doi.org/10.15142/T33H26)’.

Author ORCID Identifier

Tao Yuan https://orcid.org/0000-0003-3008-0171

OCLC

1078404586

Document Type

Dataset

DCMI Type

Dataset

File Format

TXT

Publication Date

11-9-2018

Funder

NSF, Division of Atmospheric and Geospace Sciences

Publisher

Utah State University

Award Number

NSF, Division of Atmospheric and Geospace Sciences (AGS) 1041571; NSF, Division of Atmospheric and Geospace Sciences (AGS) 1032100; NSF, Division of Atmospheric and Geospace Sciences (AGS) 1135882; NSF, Division of Atmospheric and Geospace Sciences (AGS) 1734333; NSF, Division of Atmospheric and Geospace Sciences (AGS) 88-20452; NSF, Division of Atmospheric and Geospace Sciences (AGS) 8820452; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9101824; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9301436; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9402125; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9415853; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9510130; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9523689; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9612832; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9714676; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9813843; NSF, Division of Atmospheric and Geospace Sciences (AGS) 9908739; NSF, Division of Atmospheric and Geospace Sciences (AGS) 0003171; NSF, Division of Atmospheric and Geospace Sciences (AGS) 0137555; NSF, Division of Atmospheric and Geospace Sciences (AGS) 0335127; NSF, Division of Atmospheric and Geospace Sciences (AGS) 0545221; NSF, Division of Atmospheric and Geospace Sciences (AGS) 0804295

Award Title

Collaborative Research: A Consortium of Resonance and Rayleigh Lidars; Fundamental Coupling Processes in the Mesosphere, Lower Thermosphere (MLT) Using Enhanced Na Wind-temperature Lidar Measurements at the Atmospheric Lidar Observatory

Methodology

The lidar hardware is set up so that the lidar signals were binned with 150 m in line of sight direction and saved every minute. Different temporal and spatial resolutions can be applied later during data processing, when the temperature and wind information in the upper atmosphere are derived.

Related Content

The lidar data before 2018 are available at the CRRL Madrigal data base at: http://millstonehill.haystack.mit.edu/

Referenced by

Yuan, T., Solomon, S. C., She, C.-Y., Krueger, D. A., & Liu, H.-L. (2019). The Long-Term Trends of Nocturnal Mesopause Temperature and Altitude Revealed by Na Lidar Observations Between 1990 and 2018 at Midlatitude. Journal of Geophysical Research: Atmospheres, 124(12), 5970–5980. https://doi.org/10.1029/2018JD029828

Start Date

1-2018

Location

Location/GIS Coverage: 41.7N 111.8W

Language

eng

Comments

The data are in text format with resolution of one-hour. For higher resolution, please contact the PI of the Na lidar. Please also acknowledge the PI, if the lidar data are utilized for any publication or conference presentation.

Disciplines

Atmospheric Sciences

License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Yuan, T. (2021). CSU-USU Na Lidar Data. Utah State University. https://doi.org/10.15142/T33H26

Checksum

6cb1c7859b6ea312a1606c1da72cd16c