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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Atmospheric downward longwave irradiance (flux) calculated using PASTICHE (the PaRaMetriC Atmospheric Spectral Tool for Irradiance Calculation using Hourly ERA5 data)

Authors: BELOTTI, CLAUDIO; Hameury, Jacques; Pattelli, Lorenzo;

Atmospheric downward longwave irradiance (flux) calculated using PASTICHE (the PaRaMetriC Atmospheric Spectral Tool for Irradiance Calculation using Hourly ERA5 data)

Abstract

This dataset is theresult of the project 21GRD03 PaRaMetriC, Work Package 2, Task 2.2. PaRaMetriC is a metrological framework for passive radiative cooling technologies developed as a Joint Research Project within the European Partnership on Metrology Programme. The dataset contains downward longwave irradiance (flux) calculated using using PASTICHE (the PaRaMetriC Atmospheric Spectral Tool for Irradiance Calculation using Hourly ERA5 data). PASTICHE uses atmospheric states derived from ERA5 reanalysis (Hersbach, 2023) and computed via RRTM_LW (Mlawer, 1997). Fluxes are calculated over 16 contiguous longwave (infrared) spectral bands from 3–1000 μm wavelength. ERA5 data points are defined on a regular latitude–longitude grid at 0.25° resolution and 37 fixed pressure levels. The output fluxes are defined over the time, latitude, longitude, and lw_bands dimensions. Available datasets TMY Denver, USA – 9 points (3 lat × 3 lon), 12 months, hourly Las Vegas, USA – 9 points (3 lat × 3 lon), 12 months, hourly Madrid, Spain – 20 points (4 lat × 5 lon), 12 months, hourly Paris, France – 4 points (2 lat × 2 lon), 12 months, hourly Rome, Italy – 4 points (2 lat × 2 lon), 12 months, hourly Turin, Italy – 4 points (2 lat × 2 lon), 12 months, hourly Singapore – 9 points (3 lat × 3 lon), 12 months, hourly Tokyo, Japan – 9 points (3 lat × 3 lon), 12 months, hourly June, July, August (JJA) 2023 Las Vegas, USA – 9 points (3 lat × 3 lon), 3 months (JJA), hourly Madrid, Spain – 20 points (4 lat × 5 lon), 3 months (JJA), hourly Riyadh, Saudi Arabia – 9 points (3 lat × 3 lon), 3 months (JJA), hourly Turin, Italy – 4 points (2 lat × 2 lon), 3 months (JJA), hourly Continental Europe France – 21 lat × 21 lon (5.25° × 5.25°), 2019–2023, 6-hourly Spain – 21 lat × 21 lon (5.25° × 5.25°), 2019–2023, 6-hourly Two Days over 35 Years Lleida, Spain – 4 points (2 lat × 2 lon), 31 July & 1 August, 1989–2023, hourly Sesto Fiorentino, Italy – 12 points (3 lat × 4 lon), 31 July & 1 August, 1989–2023, hourly Data Structure Each NetCDF4 file contains the following calculated variables: sd(time, latitude, longitude, lw_bands) – RRTM-calculated surface downward longwave radiation flux (W·m⁻²) su(time, latitude, longitude, lw_bands) – Surface upward longwave radiation flux (W·m⁻²) sn(time, latitude, longitude, lw_bands) – Surface net longwave radiation flux (W·m⁻²) tu(time, latitude, longitude, lw_bands) – TOA upward longwave radiation flux (W·m⁻²) r(time, latitude, longitude) – Relative humidity calculated from 2 m temperature and dewpoint (%) Note Band 0 contains total infrared flux; bands 1–16 represent spectral subdivisions. Band limits are stored in lw_band_limits (cm⁻¹). The following fields are copied directly from ERA5: t2m – 2 m temperature skt – Skin temperature cbh – Cloud base height tcc – Total cloud cover (as cloud_area_fraction) tcwv – Total column vertically integrated water vapour u10, v10 – 10 m wind components stl3, stl4 – Soil temperatures at levels 3 and 4 avg_sdlwrf, avg_sdlwrfcs – Time-averaged surface downward LW radiation flux (all-sky / clear-sky) avg_sdswrf, avg_sdswrfcs – Time-averaged surface downward SW radiation flux avg_snlwrf, avg_snlwrfcs – Time-averaged surface net LW radiation flux avg_snswrf, avg_snswrfcs – Time-averaged surface net SW radiation flux avg_tnlwrf, avg_tnlwrfcs – Time-averaged TOA net LW radiation flux Warning ERA5 fluxes are accumulated over one hour and normalized by 3600 s. We treat these as instantaneous values centered at t – 0.5 h. ERA5 fluxes correspond to total LW radiation and should be compared to band 0 values from RRTM. NaN values may appear over sea regions or where RRTM fails (e.g., north-west corner of the France dataset); further investigation is ongoing Funding This work is supported by the European project PaRaMetriC, code 21GRD03. The project 21GRD03 PaRaMetriC received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme, and from the Participating States.

Keywords

passive radiative cooling, Atmosphere, Infrared radiation, longwave radiation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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