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3 results for “LIAISE”
Radiometer network dataset of 10 Hz spectral irradiance and derived variables (LIAISE campaign)
<p><strong>Description</strong></p> <p>Measurements from the spatial network of 15 radiometers deployed at the LIAISE field campaign in 2021.</p> <p>14 July 2021 until 28 July 2021.</p> <p><strong>Dataset Contents</strong></p> <ul> <li><em>rsds: </em>Total shortwave downwelling solar irradiance @ 10 Hz, 1 sec, and 1 minute resolution (Level 2, derived dataset)</li> <li><em>prw: </em>Total column integrated water vapour @ 1 sec resolution (Level 2, derived dataset)</li> <li><em>spectrum: </em>Pre-calibrated solar spectral irradiance measurements @ 10 Hz resolution (Level 1, source dataset)</li> <li><em>raw data:</em> straight from the sensors (Level 0)</li> </ul> <p><strong>Dataset Quality</strong></p> <p>All data is quality controlled and completed with metadata and quality flags. Level 2 data is calibrated against high quality references, and derived from Level 1 data.</p> <p>Methodology, performance, and usage all described in detail in an upcoming pre-print.</p> <p><strong>References and more info</strong></p> <ul> <li><a href="https://egusphere.copernicus.org/preprints/2022/egusphere-2022-726/">Radiometer reference paper (FROST)</a></li> <li>LIAISE <a href="https://liaise.aeris-data.fr/">campaign website</a>, <a href="https://liaise.aeris-data.fr/page-catalogue/?uuid=594dbc5d-986e-4679-b0ec-7d1e29b5cab9">LIAISE database</a></li> <li>Dataset description paper: <a href="https://arxiv.org/abs/2307.06980">pre-print on Arxiv</a></li> <li>Code to produce these data <a href="https://doi.org/10.5281/zenodo.10159129">on Zenodo</a></li> </ul> <p><strong>Version History</strong></p> <p>v1.2: fixed bug of incorrect wavelength labeling, all bands but 900 and 940 nm were affected. This only concerns the 10 Hz spectrum data, rest unchanged.</p> <p>v1.1: added raw (level 0) data, fixed typo in file name for the 10 Hz spectrum zip (L2 -> L1).</p>
LIAISE LES - Prescribed Surface Fluxes Case
<p><span>Model input fields and select statistics for the MicroHH Large Eddy Simulation used in the prescribed surface flux case of the LIAISE LES experiment. In order to run the case, one needs to have the MicroHH model (https://github.com/microhh/microhh) and the (LS)2D package (https://github.com/LS2D).</span></p> <p><span> </span></p> <p><span>More information on the LIAISE experiment as well as the radiosonde data used for initialization and nudging can be found at: https://liaise.aeris-data.fr/page-catalogue/.</span></p> <p><span> </span></p> <p><span>Contents: </span></p> <ul> <li><em><span>LIAISE_GoldenDay_sfc_30m_ext_8Dec.nc</span></em><span> - Netcdf file with the prescribed surface fluxes averaged over 20-22 July 2021.</span></li> <li><em><span>offline_may2024.py</span></em><span> - File to create MicroHH model input and binary files. It uses the input from the surface fluxes netcdf file as well as smoothed radiosondes from the Els Plans site (available for download from the LIAISE catalogue). </span></li> <li><em><span>offline_may2024.ini </span></em><span>– initialization file that is edited created with the offline_may2024.py file. </span></li> <li><span>Statistics from the model: </span></li> <ul> <li><em><span>offline_may2024.default.0000000.nc</span></em><span> - spatial statistics for the entire extended LIAISE domain </span></li> <li><em><span>offline_may2024.regional.0000000.nc</span></em><span> - spatial statistics for the LAISE regional scale</span></li> <li><em><span>offline_may2024.wet.0000000.nc</span></em><span> - spatial statistics for the wet landscape scale</span></li> <li><em><span>offline_may2024.dry.0000000.nc</span></em><span> - spatial statistics for the dry landscape scale</span></li> </ul> </ul> <p> </p>
Lifetime Impact of Achondroplasia Study in Europe-LIAISE
ClinicalTrials.gov study NCT03449368. IPD Sharing: YES. Countries: 6. Publications: 1.
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