PFR AOD and solar irradiance data aquired during the MAPP project.
<p>Aerosol optical depth and solar irradiance data acquired in the frame of the JRP project MAPP, Metrology for Aerosol Optical Properties 19ENV04 with the Precision FilterRadiometer PFR-98-N-001. </p> <ul> <li>Monitoring period at Davos, 2021 -2022</li> <li>Rome Campaign – Sep.2021</li> <li>Izaña Campaign -Sep.2022</li> </ul> <p>for the dataset of version 1.0 the calibration of the PFR is against the PFR-Triad has been used. For the SI-traceable AOD retrieval the PTB (Physikalisch-Technische Bundesanstalt, Braunschweig, Germany) calibration (Kouremeti, Nevas et al. 2022) has been used in combination with QASUMEFTS (Gröbner, Kröger et al. 2017) for 368 nm and 412 nm, and TSIS-1 (Coddington, Richard et al. 2021) for 501 nm and 862 nm.</p> <p><strong>Calibration Record </strong></p> <p>The calibration record given as Top-of-Atmosphere PFR signal (<em>V<sub>0</sub></em>) and the expanded combined uncertainty of <em>V<sub>0</sub></em> (<em>U) </em>are given in the following table in Volts .</p> <table align="center"> <tbody> <tr> <td> <p> </p> </td> <td> <p><strong>PFR-TRIAD (2021)</strong></p> </td> <td> <p><strong>PTB</strong></p> </td> <td> <p><strong>Langley Izaña</strong></p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p><em>V<sub>0 </sub></em>(V)</p> </td> <td> <p><strong><em>U </em></strong>(V)</p> </td> <td> <p><em>V<sub>0 </sub></em>(V)</p> </td> <td> <p><strong><em>U </em></strong>(V)</p> </td> <td> <p><em>V<sub>0 </sub></em>(V)</p> </td> <td> <p><strong><em>U </em></strong>(V)</p> </td> </tr> <tr> <td> <p>862nm</p> </td> <td> <p>3.380</p> </td> <td> <p>0.017</p> </td> <td> <p>3.3602</p> </td> <td> <p>0.006</p> </td> <td> <p>3.376</p> </td> <td> <p>0.003</p> </td> </tr> <tr> <td> <p>501nm</p> </td> <td> <p>3.717</p> </td> <td> <p>0.010</p> </td> <td> <p>3.7326</p> </td> <td> <p>0.006</p> </td> <td> <p>3.712</p> </td> <td> <p>0.004</p> </td> </tr> <tr> <td> <p>412nm</p> </td> <td> <p>3.503</p> </td> <td> <p>0.010</p> </td> <td> <p>3.5368</p> </td> <td> <p>0.010</p> </td> <td> <p>3.493</p> </td> <td> <p>0.005</p> </td> </tr> <tr> <td> <p>368nm</p> </td> <td> <p>4.011</p> </td> <td> <p>0.012</p> </td> <td> <p>4.0438</p> </td> <td> <p>0.026</p> </td> <td> <p>4.006</p> </td> <td> <p>0.007</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Data description</strong> </p> <p>The data are daily files in matlab table format (table name PFR)</p> <p>The table contains 5 variables: 'Station' , 'Instrument' , 'Date' , 'Data' , 'MetaData_Flags'</p> <p>The variables of each sub-table and theirs units can be seen using e.g. the following : </p> <p>PFR.Data{1}.Properties.VariableNames, PFR.Data{1}.Properties.VariableUnits</p> <p>The signal, irradiance and atmospheric transmittance have been corrected for the Sun-Earth distance and are given at 1AU. </p> <p><em>Measurements, calibration and aanlysis performed by NK </em></p> <p><strong>References </strong></p> <p>Coddington, O. M., E. C. Richard, D. Harber, P. Pilewskie, T. N. Woods, K. Chance, X. Liu and K. Sun (2021). "The TSIS-1 Hybrid Solar Reference Spectrum." Geophysical Research Letters <strong>48</strong>(12): e2020GL091709.</p> <p>Gröbner, J., I. Kröger, L. Egli, G. Hülsen, S. Riechelmann and P. Sperfeld (2017). "The high-resolution extraterrestrial solar spectrum (QASUMEFTS) determined from ground-based solar irradiance measurements." Atmos. Meas. Tech. <strong>10</strong>(9): 3375-3383.</p> <p>Kouremeti, N., S. Nevas, S. Kazadzis, J. Gröbner, P. Schneider and K. M. Schwind (2022). "SI-traceable solar irradiance measurements for aerosol optical depth retrieval." Metrologia <strong>59</strong>(4): 044001.</p> <p><strong>Acknowledgments</strong></p> <p>This data was obtained within the joint research project EMPIR 19ENV04 MAPP “Metrology for aerosol optical properties” which has been supported by the European Metrology Program for Innovation and Research (EMPIR) . The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4