A Simplified Model for Free-atmosphere Seeing Estimation Using NCEP/NCAR Data at the ORM

Abstract We present and validate a simplified physical model for estimating free-atmosphere seeing ( ε free ) using NCEP/NCAR reanalysis data at the Roque de los Muchachos site. We compare the computed values to MASS-DIMM measurements across 235 common nights from 2008 May to 2009 September, and for a well-sampled night (2008 November 18). The seasonal comparison gives root mean square error (RMSE) = <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mn>0</mml:mn> <mml:mover accent="true"> <mml:mrow> <mml:mi>.</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>″</mml:mi> </mml:mrow> </mml:mover> <mml:mn>67</mml:mn> </mml:math> and r = 0.56. On the selected night, applying smoothing and bias correction lowers the RMSE to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mn>0</mml:mn> <mml:mover accent="true"> <mml:mrow> <mml:mi>.</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>″</mml:mi> </mml:mrow> </mml:mover> <mml:mn>07</mml:mn> </mml:math> and raises r to 0.85. These findings support the use of this lightweight model for astroclimatology and preliminary site evaluation in areas lacking field measurements. A dual-panel figure summarizes both results.

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Journal
Research Notes of the AAS
Published
2025-07-24
DOI
https://doi.org/10.3847/2515-5172/adf29a
Primary Topic
Atmospheric aerosols and clouds
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article
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article

A Simplified Model for Free-atmosphere Seeing Estimation Using NCEP/NCAR Data at the ORM

El Arbi Siher, Z. Ihsane, Tarik Mouhtafid, Saadia Oujaoura et al.
Research Notes of the AAS
Atmospheric aerosols and clouds
article

A Simplified Model for Free-atmosphere Seeing Estimation Using NCEP/NCAR Data at the ORM

El Arbi Siher, Z. Ihsane, Tarik Mouhtafid, Saadia Oujaoura, M. Sabil
article en

Abstract

Abstract We present and validate a simplified physical model for estimating free-atmosphere seeing ( ε free ) using NCEP/NCAR reanalysis data at the Roque de los Muchachos site. We compare the computed values to MASS-DIMM measurements across 235 common nights from 2008 May to 2009 September, and for a well-sampled night (2008 November 18). The seasonal comparison gives root mean square error (RMSE) = <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mn>0</mml:mn> <mml:mover accent="true"> <mml:mrow> <mml:mi>.</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>″</mml:mi> </mml:mrow> </mml:mover> <mml:mn>67</mml:mn> </mml:math> and r = 0.56. On the selected night, applying smoothing and bias correction lowers the RMSE to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mn>0</mml:mn> <mml:mover accent="true"> <mml:mrow> <mml:mi>.</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>″</mml:mi> </mml:mrow> </mml:mover> <mml:mn>07</mml:mn> </mml:math> and raises r to 0.85. These findings support the use of this lightweight model for astroclimatology and preliminary site evaluation in areas lacking field measurements. A dual-panel figure summarizes both results.

Research Notes of the AASVol. 9(7)
Université Sultan Moulay Slimane (MA)
Openalex Percentile: Top 83%
Atmospheric aerosols and clouds
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A Simplified Model for Free-atmosphere Seeing Estimation Using NCEP/NCAR Data at the ORM — El Arbi Siher, Z. Ihsane, et al. · Research Notes of the AAS (2025) | TGRS Research Map | TGRS