MLO-Cn2

Mauna Loa Seeing Study

Dataset Information
Modalities
Time series
Languages
English
Introduced
2023
Homepage

Overview

The Mauna Loa Seeing Study was performed by the EOL/Integrated Surface
Flux System team, capturing surface meteorology and flux products at the Mauna Loa Observatory in Hawaii.

The MLO-Cn2 dataset enables researchers to evaluate physics-inspired models for optical turbulence ($C_n^2$), as well as develop new models from sonic anemometer data.

Summary

Sonic anemometers were deployed during Summer 2006 at the Mauna Loa Observatory, Hawaii to quantify the atmospheric seeing quality, to help NCAR/HAO plan current and future telescope observations. This study was intended to replicate measurements made previously for planning the Advanced Technology Solar Telescope (ATST). Deployment and operations for this study were done by HAO staff, and ISFF provided equipment and some data management support.

Details

Identifiers
* Local archive identifier: 160.007
* doi:10.26023/CQR2-TQJ9-AH10
https://doi.org/10.26023/CQR2-TQJ9-AH10

Related projects
* MLO_CN2: Mauna Loa Seeing Study (Cn-squared study)
https://data.eol.ucar.edu/project/MLO_CN2

Additional information
* Frequency: 5 minute
* Language: English

Categories
* Surface

Platforms
* Flux Tower
* NCAR/EOL Integrated Surface Flux System - ISFS

Instruments
* Eddy Correlation Devices
* Sonic Anemometer
* Surface Flux
* Surface Meteorology

Related links
* homepage: MLO_CN2 project main web page
http://www.eol.ucar.edu/isf/projects/MLO_CN2/
* info: Integrated Surface Flux System
https://www.eol.ucar.edu/observing_facilities/isfs
* homepage: MLO_CN2 Project Homepage
https://www.eol.ucar.edu/field_projects/mlocn2

Temporal coverage
* Begin datetime: 2006-06-09 00:00:00
* End datetime: 2006-08-08 23:59:59

Spatial coverage
* Maximum (North) Latitude: 19.53
* Minimum (South) Latitude: 19.53
* Minimum (West) Longitude: -155.57
* Maximum (East) Longitude: -155.57

Primary contact information
* pointOfContact: EOL Data Support datahelp@eol.ucar.edu
https://data.eol.ucar.edu/contact/show/1

Additional contact information
* author: NSF NCAR/EOL ISFS Team
https://data.eol.ucar.edu/contact/show/3140

Alternate metadata formats
* DataCite: https://data.eol.ucar.edu/dataset/160.007?format=datacite
* ISO/TC 211: https://data.eol.ucar.edu/dataset/160.007?format=isotc211

Variants: MLO-Cn2

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Time Series Forecasting GBRT Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Forecasting Mean Window Forecast Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Forecasting Minute Climatology Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Forecasting RNN Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Forecasting Climatology Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Forecasting Linear Forecast Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Forecasting Persistence Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Regression GBRT Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Regression RNN Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Regression Minute Climatology Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Regression Climatology Effective Benchmarks for Optical Turbulence … 2024-01-07
Time Series Regression Persistence Effective Benchmarks for Optical Turbulence … 2024-01-07

Research Papers

Recent papers with results on this dataset: