Find research datasets worth reusing

opencc-by-4.0Jul 2020View details →

Level 2 spectra of the global solar irradiance in the wavelength range 290 - 500 nm measured at Aosta - Saint Christophe, Italy by the Bentham DTMc300 with serial number 5541 in 2006 - 2019

<p>The provided dataset includes the Level 2 <strong>spectral measurements</strong> (in Watt/m<sup>2</sup>/nm) of the solar irradiance in the range 290 - 500 nm, performed by the Bentham DTMc300 spectroradiometer with serial number 5541. The particular instrument performs automated continuous, high quality  measurements at Aosta - Saint Christophe, Italy (45.7° N, 7.4° E, 570 m a.s.l.) since 2006. The Level 2 spectra are re-evaluated and homogenized and are currently available for the period 24 July 2006 - 8 July 2019. Each file contains the spectra for one day. The time (in UTC) for the measurements at 290, 400, and 500 nm is also provided for each spectral scan so that the user has also information for the duration of each scan.</p> <p>The daily <strong>noon UV index</strong> is also provided for the same period in the file "<strong>aao_noon_uvi_l2.dat</strong>". Erythemal doses have been calculated by weighting each spectrum with the CIE (1999) effective spectrum, and then integrating in the range 290 - 400 nm. Then the UV index has been calculated by dividing erythemal dose (in mWatt/m<sup>2</sup>) by 25. The noon UV index for each day has been calculated as the average of available measurements for ±15 minutes around the exact local noon.</p> <p>For further information for file format and contents please see the <strong>readme.txt</strong> file.</p> <p>Reference</p> <p>CIE: CIE S007/E-1998 Erythema reference action spectrum and standard erythema dose, Color Research & Application, 24, 158-158, 10.1002/(sici)1520-6378(199904)24:2<158::aid-col11>3.0.co;2-4, 1999.</p>

opengpl-3.0-or-laterNov 2024View details →

data and code for Machine Learning-based Denoising of Surface Solar Irradiance simulated with Monte Carlo Ray Tracing

<p>Data and radiative transfer code used for the manuscript "Machine Learning-based Denoising of Surface Solar Irradiance simulated with Monte Carlo Ray Tracing". See Readme for details</p>

opencc-by-4.0Dec 2020View details →

Global horizontal irradiance from WRF-Solar and NSRDB over CONUS

<p>This dataset has been used in the publication: Jimenez, P.A., J. Yang, J.-H. Kim, M. Sengupta, and J. Dudhia: Assessing the WRF-Solar model performance using satellite-derived irradiance from the National Solar Radiation Database. J. Applied Met. & Climatol., 61, 129-142.</p> <p>The article presents the reference WRF-Solar configuration and describes the value of shortwave irradiance retrievals from the National Solar Radiation Database (NSRDB) to improve the WRF-Solar performance. The dataset consist of global horizontal irradiance from several WRF-Solar simulations over the contiguous U.S. spanning the year of 2018, and collocated satellite retrievals for the same year.</p> <p>The dataset will help to:</p> <ol> <li>Ensure reproducibility of results in the article above</li> <li>Provide a reference WRF-Solar simulation and adequate observations over an extended period to continue improving the WRF-Solar performance</li> </ol>

opencc-by-4.0Jul 2024View details →

Combining observations and simulations to investigate the small-scale variability of surface solar irradiance under continental cumulus clouds

<p><a href="10948326" target="_blank" rel="noopener noreferrer">He_ACP_2024_data.tar.gz</a> : Data and scripts associated with the article "Combining observations and simulations to investigate the small-scale variability of surface solar irradiance under continental cumulus clouds"</p> <p><a href="10948326" target="_blank" rel="noopener noreferrer">star-engine-htrdr-0.8.1.tar</a> : Monte Carlo radiative transfer source code that was used for the paper</p>

opencc-by-4.0Sep 2024View details →

Total Solar Irradiance (TSI) in the satellite era: Multiple new or updated satellite TSI composites and related time series

<h2>Supporting dataset to accompany R. Connolly et al. (2024)</h2> <h3><strong>Associated journal article:</strong></h3> <div>R. Connolly, W. Soon, M. Connolly, R.G. Cionco, A.G. Elias, G.W. Henry, N. Scafetta, and V.M. Velasco Herrera (2024). Multiple new or updated satellite Total Solar Irradiance (TSI) composites (1978-2023). The Astrophysical Journal. <strong>975 </strong>(1), 102. <a href="https://doi.org/10.3847/1538-4357/ad7794">https://doi.org/10.3847/1538-4357/ad7794</a></div> <div> </div> <h3><strong>Description of contents</strong>:</h3> <div>An Excel spreadsheet with 25 tabs. All of the TSI composite time series, the proxy-based models used for comparison, and the data used to generate the figures and tables are provided in this sheet. The first tab describes the contents of the remaining tabs.</div> <div> </div> <h3><strong>System requirements</strong>:</h3> <div>MS Excel or another program that can read .xlsx files.</div> <div> </div> <h3><strong>Additional comments</strong>:</h3> <div>Version 1.0 is a mirror archive of the original Supporting Data for the journal article described above. Updates to this dataset will be provided here at <a href="https://doi.org/10.5281/zenodo.13619470">https://doi.org/10.5281/zenodo.13619470</a> or on the CERES-Science website at <a href="https://www.ceres-science.com/portfolio-collections/solar-activity/total-solar-irradiance-in-the-satellite-era">https://www.ceres-science.com/portfolio-collections/solar-activity/total-solar-irradiance-in-the-satellite-era</a>. </div> <div> </div> <h3><strong>Citation request</strong>:</h3> <div>We ask that users of this dataset include an appropriate citation to the R. Connolly et al. (2024, The Astrophysical Journal) article in any publications that make use of the dataset. If possible, we encourage including a direct citation to this dataset as well as to the article. We recommend including the version number and/or download date if you are using an update from the original dataset.</div> <div> </div> <div>=====</div>

opencc-by-4.0Apr 2023View details →

Worldwide benchmark of modelled solar irradiance data annex

<p>This data annex contains the supplementary data to the IEA PVPS Task 16 report "Worldwide benchmark of modeled solar irradiance data" from 2023. The dataset includes visualizations and tables of the results as well as information concerning the reference stations.</p> <p>The dataset contains the following type of files:</p> <ul> <li>StationList.xlsx: list of all stations, including their coordinates, climate zone, station code, continent, altitude AMSL, data source, number of available test data sets, station type (Tier-1 or Tier-2), and available calibration record.</li> <li>Result tables in folder “ResultTables”: Folders “climate_zones” and “continents” contain the tables described in Section 5.3. The filenames are “Component_metric_in_subgroup.html” with “component” DNI or GHI, “metric” describing the metric (see Table 3), and “subgroup” describing the continent or climate zone.</li> <li>World maps: The folder “Resultmaps” contains world maps of the metrics described in Section 5.2. Either four or three metrics, depending on the map, are included in each pdf. A legend describing the meaning of the point size is also included.</li> <li>Scatter plots of test vs. reference irradiance: The folder “Scatterplots” contains two folders, “DNI” and “GHI”, for the two investigated components. Three subfolders are also contained in these two folders: <ul> <li>The subfolders “plotsPerSiteYear” contain plots named “scatOverviewCOMPONENT_SITEYYYY.png”, where “COMPONENT” is either DNI or GHI, SITE is the three-letter site abbreviation, and YYYY is the evaluated year. The png plots include the scatterplots for all test data sets evaluated for the case specified by the filename.</li> <li>The subfolders “plotsPerTestdataProvider” contain plots named “scatOverviewTESTDATASET_COMPONENTYYYY.png”, where “TESTDATASET” describes the test data set, “COMPONENT” is either DNI or GHI, and YYYY is the evaluated year. The png plots include the scatterplots for all sites evaluated for the case specified by the filename.</li> <li>The subfolders “plotsPerTestdataProviderSamePosPerStat” contain the same scatterplots as “plotsPerTestdataProvider”, but using a slightly different visualization method. Here, the position of each scatterplot for a given site within the plot is always the same. Although this yields many empty subplots and small scatterplots, it can be helpful to rapidly browse through the plots if only one or a few stations are of interest.</li> </ul> </li> </ul>

opencc-by-4.0Sep 2023View details →

Datasets for "Irradiance and cloud optical properties from solar photovoltaic systems" (final version)

<p>This dataset contains all the relevant data for the algorithms described in the paper "<a href="https://amt.copernicus.org/articles/16/4975/2023/">Irradiance and cloud optical properties from solar photovoltaic systems</a>", which were developed within the framework of the <a href="https://www.h-brs.de/de/satelliten-und-meteorologie-unterstuetzte-vorhersage-der-energieerzeugung-von-pv-anlagen-auf">MetPVNet</a> project.</p> <p><strong>Input data:</strong></p> <ol> <li><a href="http://www.cosmo-model.org/">COSMO</a> weather model data (DWD) as NetCDF files (cosmo_d2_2018(9).tar.gz) <ol> <li>COSMO atmospheres for <a href="http://www.libradtran.org/">libRadtran</a> (cosmo_atmosphere_libradtran_input.tar.gz)</li> <li>COSMO surface data for calibration (cosmo_pvcal_output.tar.gz)</li> </ol> </li> <li><a href="https://aeronet.gsfc.nasa.gov/">Aeronet</a> data as text files (MetPVNet_Aeronet_Input_Data.zip)</li> <li>Measured data from the <a href="https://www.h-brs.de/de/satelliten-und-meteorologie-unterstuetzte-vorhersage-der-energieerzeugung-von-pv-anlagen-auf">MetPVNet</a> measurement campaigns as text files (MetPVNet_Messkampagne_2018(9).tar.gz) <ol> <li>PV power data</li> <li>Horizontal and tilted irradiance from pyranometers</li> <li>Longwave irradiance from pyrgeometer</li> </ol> </li> <li>MYSTIC-based lookup table for translated tilted to horizontal irradiance (gti2ghi_lut_v1.nc)</li> </ol> <p><strong>Output data:</strong></p> <ol> <li>Global tilted irradiance (GTI) inferred from PV power plants (with calibration parameters in comments) <ol> <li>Linear temperature model: MetPVNet_gti_cf_inversion_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_gti_cf_inversion_results_faiman.tar.gz</li> </ol> </li> <li>Global horizontal irradiance (GHI) inferred from PV power plants <ol> <li>Linear temperature model: MetPVNet_ghi_inversion_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_ghi_inversion_results_faiman.tar.gz</li> </ol> </li> <li>Combined GHI averaged to 60 minutes and compared with COSMO data <ol> <li>Linear temperature model: MetPVNet_ghi_inversion_combo_60min_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_ghi_inversion_combo_60min_results_faiman.tar.gz</li> </ol> </li> <li>Cloud optical depth inferred from PV power plants <ol> <li>Linear temperature model: MetPVNet_cod_cf_inversion_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_cod_cf_inversion_results_faiman.tar.gz</li> </ol> </li> <li>Combined COD averaged to 60 minutes and compared with COSMO and APOLLO_NG data <ol> <li>Linear temperature model: MetPVNet_cod_inversion_combo_60min_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_cod_inversion_combo_60min_results_faiman.tar.gz</li> </ol> </li> </ol> <p><strong>Validation data:</strong></p> <ol> <li>COSMO cloud optical depth (cosmo_cod_output.tar.gz)</li> <li>APOLLO_NG cloud optical depth (MetPVNet_apng_extract_all_stations_2018(9).tar.gz)</li> <li>COSMO irradiance data for validation (cosmo_irradiance_output.tar.gz)</li> <li><a href="https://www.soda-pro.com/web-services/radiation/cams-radiation-service">CAMS</a> irradiance data for validation (CAMS_irradiation_detailed_MetPVNet_MK_2018(9).zip)</li> </ol> <p><strong>How to import results:</strong></p> <p>The results files are stored as text files ".dat", using Python multi-index columns. In order to import the data into a Pandas dataframe, use the following lines of code (replace [filename] with the relevant file name):</p> <p>import pandas as pd<br>data = pd.read_csv("[filename].dat",comment='#',header=[0,1],delimiter=';',index_col=0,parse_dates=True)</p> <p>This gives a multi-index Dataframe with the index column the timestamp, the first column label corresponds to the measured variable and the second column to the relevant sensor</p> <p><strong>Note:</strong></p> <p>The output data has been updated to match the latest version of the paper, whereas the input and validation data remains the same as in Version 1.0.0</p>

dryad32/100

Data from: Solar irradiance as the proximate cue for flowering in a tropical moist forest

Open the record for dataset details and reuse information.

publicNov 2017View details →

zenodo28/100

Monitoring Solar Irradiance and PV Module Performance in Mobile Applications

<p>Video footage from the car in the PV in motion experiment.</p>

opencc-by-4.0Apr 2024View details →

zenodo28/100

Monitoring of solar irradiation at Lucerne University of Applied Sciences and Arts

<p>Global and diffuse irradiation data as monitored at the Horw campus of Lucerne University of Applied Sciences and Arts. The data is stored in a tabular format at intervals of one minute. The monitoring station comprises two Kipp and Zonen CMP11 pyranometers, equipped with ventilation units. Diffuse irradiation is measured employing a manually adjusted shadow ring.</p>

opencc-by-4.0Dec 2016View details →

First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) Centre Meteorologie Spatiale (CMS) Daily Solar Irradiance Data

The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution clouddata.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.These files are calculations of the daily solar irradiance at the surface, based on observations by the METEOSAT. The file naming convention is: esqDDMMYYx.fis where DDMMYY is the dateThese files are: I2 pixels, 376 pixels/row, 326 rows. Each pixel has a spatial resolution of 0.04 degrees.The header of each file claims there are two channels, although the provided documentation states that there is only one channel per file.The units are: flux [tenths of Joule/cm^2]

First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) Centre Meteorologie Spatiale (CMS) Monthly Solar Irradiance Data

The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.These files are calculations of the monthly solar irradiance at the surface, based on observations by the METEOSAT. The file naming convention is: esmxx.fis where xx is the month number of 1992.These files are: I2 pixels, 376 pixels/row, 326 rows. Each pixel has a spatial resolution of 0.04 degrees.The header of each file claims there are two channels, although the provided documentation states that there is only one channel per file.The units are: flux [tenths of Joule/cm^2]

Earth Radiation Budget Experiment (ERBE) Total Solar Irradiance (TSI) from the Earth Radiation Budget Satellite in Native Format

ERBE_TSI_ERBS_NAT is the Earth Radiation Budget Experiment (ERBE) Total Solar Irradiance (TSI) from the Earth Radiation Budget Satellite in Native Format data set. Data collection for this product is complete.The goal of the ERBE was to produce monthly averages of longwave and shortwave radiation parameters on the Earth at regional to global scales. Preflight mission analysis lead to a three spacecraft system to provide the geographic and temporal sampling required to meet this goal. Three, nearly identical, sets of instruments were built and launched on three separate spacecraft. These instruments differed principally in the spacecraft interface electronics and in the field-of-view limiters for the non-scanner instruments that were required due to differences in the spacecraft orbit altitudes. The ERBS spacecraft was launched by Space Shuttle Challenger in October 1984 and was the first spacecraft to carry ERBE instruments into orbit. ERBS was designed and built by Ball Aerospace Systems under contract to NASA Goddard Space Flight Center (GSFC), and ERBS was the first spacecraft dedicated to NASA science experiments to be launched by the Space Shuttle. ERBS carried the Stratospheric Aerosols and Gas Experiment II (SAGE II) in addition to the ERBE instruments. The Payload Operation and Control Center (POCC) at GSFC directed operations of the ERBS spacecraft as well as the ERBE and SAGE II instruments and employed both ground stations and the Tracking and Data Relay Satellite System (TDRSS) network. Spacecraft and instrument telemetry data were received at GSFC where the data were processed by the Information Processing Division that provided ERBE and SAGE II experiment data to the NASA Langley Research Center (LaRC). The second and third spacecraft that launched with ERBE instruments were the Television Infrared Radiometer Orbiting Satellite (TIROS) N-class spacecraft, which was a part of the NOAA operational meteorological satellite series. The NOAA-9 and NOAA-10 spacecraft were launched in December 1984 and September 1986, respectively. The NOAA spacecraft included other instruments, such as the Advanced Very High Resolution Radiometer (AVHRR) and the High-Resolution Infrared Radiometer Sounder (HIRS), which provided NOAA with data for near-real-time weather forecasting. Both spacecraft were in nearly Sun-synchronous orbits. At launch equator-crossing times for the NOAA-9 and NOAA-10 orbits were 1420 UT (ascending) and 1930 UT (descending), respectively, where UT denotes universal time. The Satellite Operations and Control Center (SOCC) at the National Environmental Satellite and Data Information Service (NESDIS) operated the NOAA spacecraft. NOAA provided telemetry data and generated ERBE data for LaRC. From 1984 through 1994, TSI values were obtained from the solar monitor on the ERBS non-scanner. The individual TSI values represented orbital averages of the instantaneous measurements which were corrected for the angle between the instrument optical axis and the Sun and which were normalized to the mean Earth/Sun distance. At least once every 2 weeks, the Sun was observed by the monitor for several 64-second measurement intervals. Each interval was separated into two 32-second periods. During the first period, the Sun drifted across the 9.2-degree non-occulted field of view, and its radiation field is measured. During the second period, a low-emittance shutter, representative of a near-zero irradiance source, was cycled into the field of view, and the low irradiance from the back of the shutter was measured. The resulting measurements from the two different periods were used to define the irradiance, using the model that is described in Characteristics of the Earth Radiation Budget Experiment Solar Monitors by R. B. Lee III, B. R. Barkstrom, and R. D. Cess.Typically, two to eight values of the irradiance were determined during an orbit. Considering that these irradiance values were derived typically during a single orbit for a few minutes, the averaged irradiance values represented an almost instantaneous level, and not a daily average.

LBA-ECO TG-03 Solar Surface Irradiance and PAR, Brazilian Amazon: 1999-2004

This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing.

First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) Centre Meteorologie Spatiale (CMS) Hourly Solar Irradiance Data

The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.These files are calculations of the hourly solar irradiance at the surface, based on observations by the METEOSAT. The file naming convention is: esDDMMYYsxx.fiswhere DDMMYY is the date and xx = slot numberMean time (UT) is obtained from the slot number overthe ASTEX region by the formula: UT = (xx/2) - 0.17These files are: I2 pixels, 376 pixels/row, 326 rows. Each pixel has a spatial resolution of 0.04 degrees.The header of each file claims there are two channels, although the provided documentation states that there is only one channel per file.The units are: flux [tenths of Joule/cm^2]

First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) Centre Meteorologie Spatiale (CMS) Weekly Solar Irradiance Data

The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.These files are calculations of the monthly solar irradiance at the surface, based on observations by the METEOSAT. The file naming convention is: esmxx.fis where xx is the month number of 1992.These files are: I2 pixels, 376 pixels/row, 326 rows. Each pixel has a spatial resolution of 0.04 degrees.The header of each file claims there are two channels, although the provided documentation states that there is only one channel per file.The units are: flux [tenths of Joule/cm^2]