67 datasets found
  1. c

    RadiCA (YOPP) - Radiation fluxes and cloud features from surface-based...

    • antarcticdatacenter.cnr.it
    • iandc.pnra.aq
    Updated Aug 15, 2021
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    (2021). RadiCA (YOPP) - Radiation fluxes and cloud features from surface-based observations in the Antarctic Peninsula and Weddell Sea Region (iso19115-3.2018) [Dataset]. https://antarcticdatacenter.cnr.it/geonetwork/srv/search?keyword=ULTRAVIOLET%20RADIATION
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    Dataset updated
    Aug 15, 2021
    Area covered
    Antarctica, Weddell Sea, Antarctic Peninsula
    Description

    The main goal of our proposal is to characterize the surface radiative budget as well as cloudiness which features at the Argentine Bases Marambio and Belgrano II during the YOPP-SH Special Observing Period (SOP) as well as the YOPP Consolidation Phase. Specific objectives to secure our main goal during the SOP will be: 1 - develop a compact Radiation Measurement UNIT (RMU) robust enough to allow continuous measurements in harsh environment through which to make shortwave, longwave observations as well as to record status of the sky. 2 - secure UV measurements at both stations. 3 - develop specific tools to analyse on a daily basis (weakly for clouds) collected data and extract parameters of interest. For radiation these will include QA/QC SW and LW downwelling and upwelling fluxes, diffuse and direct components of solar radiation, UV spectral flux and doses. For clouds these will include, on a continuous base, cloud fraction derived both from radiometric measurement and sky camera observations, cloud type and cloud effect on SW radiation. In addition cloud base (or cloud ceiling) will be obtained by routine observations performed at the two stations. From UV measurements columnar ozone content will be also derived. Moving forward to YOPP consolidation phase, we plan to: 1 - extend dataset and its analysis, start to collect information on seasonal and inter-annual variability, determine Cloud radiative Forcing (CRF) 2 - perform extensive comparison between automatic and visual cloudiness observation methods. They being very useful to better understand quality and value of historical datasets at the two stationsù 3 - make comparison with cloudiness regime of Ross Sea and Antarctic Plateau. Make similar comparison for UV fluxes in the Peninsula and at Concordia.

  2. o

    Yopp Lane Cross Street Data in Paducah, KY

    • ownerly.com
    Updated May 24, 2022
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    Ownerly (2022). Yopp Lane Cross Street Data in Paducah, KY [Dataset]. https://www.ownerly.com/ky/paducah/yopp-ln-home-details
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    Dataset updated
    May 24, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Paducah, Kentucky, Yopp Lane
    Description

    This dataset provides information about the number of properties, residents, and average property values for Yopp Lane cross streets in Paducah, KY.

  3. f

    ECMWF YOPP dataset workflow

    • springernature.figshare.com
    png
    Updated Nov 25, 2020
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    Peter Bauer; Irina Sandu; Linus Magnusson; Richard Mladek; Manuel Fuentes (2020). ECMWF YOPP dataset workflow [Dataset]. http://doi.org/10.6084/m9.figshare.13013741.v1
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    pngAvailable download formats
    Dataset updated
    Nov 25, 2020
    Dataset provided by
    figshare
    Authors
    Peter Bauer; Irina Sandu; Linus Magnusson; Richard Mladek; Manuel Fuentes
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Schematic of the YOPP dataset production framework: The ini-tial conditions and ensemble forecasts are generated by ECMWF’s operationalforecasting system based on ensembles of data assimilation and models. Atmo-sphere, land and ocean waves are separate from the ocean and sea-ice circulationin the data assimilation system, while the forecasts are fully coupled. Only the unperturbed control experiment output is ingested in the YOPP dataset from day 0 to day 15, and complemented by physical process tendency output from day 0 to day 2

  4. f

    yopP interaction network (Bacillus subtilis (strain 168))

    • funcoup.org
    Updated May 18, 2025
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    FunCoup (2025). yopP interaction network (Bacillus subtilis (strain 168)) [Dataset]. https://funcoup.org/search/yopP%26224308/
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    Dataset updated
    May 18, 2025
    Dataset authored and provided by
    FunCoup
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    FunCoup network information for gene yopP in Bacillus subtilis (strain 168). YOPP_BACSU SPbeta prophage-derived probable integrase/recombinase YopP

  5. MODF for Utqiagvik, Alaska, during YOPP SOP1 and SOP2

    • adc.met.no
    Updated Jun 8, 2023
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    Elena Akish; Sara Morris (2023). MODF for Utqiagvik, Alaska, during YOPP SOP1 and SOP2 [Dataset]. https://adc.met.no/dataset/d391a1fb-a0aa-527b-9679-49b1cec5f1e0
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    Dataset updated
    Jun 8, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Norwegian Meteorological Institute / Arctic Data Centre
    Authors
    Elena Akish; Sara Morris
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Sep 30, 2018
    Area covered
    Description

    The North Slope of Alaska (NSA) atmospheric observatory at Utqiaġvik (formerly Barrow) provides data about cloud and radiative processes at high latitudes. The NSA is a focal point for atmospheric and ecological research activity in the Arctic. Scientists use data from the NSA to improve the representation of high-latitude cloud and radiation processes in earth system models.

  6. o

    Everett Yopp Drive Cross Street Data in Sneads Ferry, NC

    • ownerly.com
    Updated Dec 8, 2021
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    Everett Yopp Drive Cross Street Data in Sneads Ferry, NC [Dataset]. https://www.ownerly.com/nc/sneads-ferry/everett-yopp-dr-home-details
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    North Carolina, Everett Yopp Drive, Sneads Ferry
    Description

    This dataset provides information about the number of properties, residents, and average property values for Everett Yopp Drive cross streets in Sneads Ferry, NC.

  7. ARPEGE Arctic super-site time-series (YOPPsiteMIP) at SiteMIP station Pallas...

    • adc.met.no
    Updated Dec 15, 2023
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    Niramson AZOUZ; Eric Bazile (2023). ARPEGE Arctic super-site time-series (YOPPsiteMIP) at SiteMIP station Pallas [Dataset]. https://adc.met.no/dataset/27768518-7895-505d-90e0-10642ffae8bf
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    Norwegian Meteorological Institutehttp://met.no/
    Météo-Francehttp://meteofrance.com/
    Authors
    Niramson AZOUZ; Eric Bazile
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Feb 4, 2018
    Area covered
    Description

    As contribution to the Year of Polar Prediction (YOPP), Méteo-France has also provided a “test” version of the global operational model ARPEGE but coupled with the 1D sea-ice model GELATO. The model configuration is exactly the same: T1198L105c2.2, around 8-9km over the North-Pole. Time series are also available for the 21 YOPP supersites and for the two SOP YOPP-NH periods (1st Feb. 2018 – 31 March 2018 and 1st July – 30 September 2018) in the NetCdf format via the YOPP Data Portal and on the ftp site: ftp.umr-cnrm.fr see the contact name.

  8. o

    Ruby Yopp Circle Cross Street Data in Sneads Ferry, NC

    • ownerly.com
    Updated Mar 23, 2022
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    Ownerly (2022). Ruby Yopp Circle Cross Street Data in Sneads Ferry, NC [Dataset]. https://www.ownerly.com/nc/sneads-ferry/ruby-yopp-cir-home-details
    Explore at:
    Dataset updated
    Mar 23, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Ruby Yopp Circle, North Carolina, Sneads Ferry
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ruby Yopp Circle cross streets in Sneads Ferry, NC.

  9. d

    CICE output from Navy Earth System Model (NESM) for 2018060512

    • datadiscoverystudio.org
    • doi.pangaea.de
    891277
    Updated 2018
    + more versions
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    Phelps, Michael W; Metzger, E Joseph; Barton, Neil P; Allard, Richard A (2018). CICE output from Navy Earth System Model (NESM) for 2018060512 [Dataset]. http://doi.org/10.1594/PANGAEA.891277
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    891277Available download formats
    Dataset updated
    2018
    Authors
    Phelps, Michael W; Metzger, E Joseph; Barton, Neil P; Allard, Richard A
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Area covered
    Description

    Techical Information: INITIALIZATION: 2018060512 FORECASTS:daily at 00Z out to 45 days (t1068) GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52S PARAMETERS:hi:standard_name = 'sea_ice_thickness ';hs:standard_name = 'surface_snow_thickness ';Tsfc:standard_name = 'surface_temperature_where_sea_ice ';aice:standard_name = 'sea_ice_area_fraction ';uvel:standard_name = 'eastward_sea_ice_velocity ';vvel:standard_name = 'northward_sea_ice_velocity ';sst:standard_name = 'sea_water_temperature ';uocn:standard_name = 'eastward_sea_water_velocity ';vocn:standard_name = 'northward_sea_water_velocity ';Tair:standard_name = 'air_temperature ';strength:standard_name = 'compressive_strength_of_sea_ice ';

  10. e

    Middle atmospheric water vapor vertical profiles obtained during the YOPP...

    • b2find.eudat.eu
    Updated Oct 6, 2018
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    (2018). Middle atmospheric water vapor vertical profiles obtained during the YOPP SOP in early 2018 at Thule Air Base, Greenland, by means of a ground-based microwave spectrometer (VESPA-22) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/18103457-bce8-5027-8272-5b4ded19ab63
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    Dataset updated
    Oct 6, 2018
    Area covered
    Qaanaaq, Greenland
    Description

    In the frame of the OASIS-YOPP project, measurements of stratospheric water vapor profiles have been carried out at the Thule High Arctic Atmospheric Observatory (THAAO, http://www.thuleatmos-it.it/) during the winter Arctic Special Observing Period of the YOPP. The THAAO is located on South Mountain, at 220 m a.m.s.l., in the proximities of the Thule Air Base (76.5 °N, 68.8° W). Water vapor stratospheric vertical profiles are obtained by means of a ground-based microwave spectrometer (VESPA-22) which observes the 22.235 GHz water vapor emission line with a 400 MHz bandwidth and a frequency resolution of 30 kHz. From the spectral measurements vertical profiles are estimated using an Optimal Estimation algorithm which relies on the pressure broadening characteristics of spectral lines at these frequencies. Vertical profiles are considered reliable for scientific purposes from approximately 26 to 75 km altitude. Spectra have a 20-minute time resolution but are integrated over a 24-hour cycle before being inverted to obtain vertical profiles. The dataset therefore represent daily averages of the stratospheric/mesospheric water vapor vertical distribution. For details on the instrumentation and the analysis of the dataset please see Mevi et al., Atmos. Meas. Tech., 11, 1099-1117, 2018 (doi:10.5194/amt-11-1099-2018).

  11. ARPEGE-SH Antarctic super-site time-series (YOPPsiteMIP) at Davis at SiteMIP...

    • adc.met.no
    Updated Dec 15, 2023
    + more versions
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    Niramson AZOUZ; Eric Bazile (2023). ARPEGE-SH Antarctic super-site time-series (YOPPsiteMIP) at Davis at SiteMIP station Davis [Dataset]. https://adc.met.no/dataset/1994afaf-651f-5bfe-9cc8-5b58fbbaaf8f
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    CNRM
    Norwegian Meteorological Institutehttp://met.no/
    Météo-Francehttp://meteofrance.com/
    Authors
    Niramson AZOUZ; Eric Bazile
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 15, 2018 - Feb 19, 2019
    Area covered
    Description

    As an additional contribution to the Year of Polar Prediction for the Southern Hemisphere (YOPP-SH), Météo-France has also provided a “test” version of the ARPEGE-SH configuration coupled with the 1D sea-ice model GELATO. A 4DVar assimilation was performed every 6h with the observation used by the ARPEGE operational version. 10 days and 5 days forecast have been provided at resp. at 00UTC and 12UTC and only 06h forecast at 6 and 18UTC. 21 YOPP super-site (17 over Antarctica and 4 for the Third Pole) are available. For several super sites, near the coast, the two nearest grid points have been extracted: one over sea and one over land. The time-series are available in the NetCdf format via the YOPP Data Portal and on the ftp site: ftp.umr-cnrm.fr see the contact name.

  12. YOPP-SH Meteorological observations from automatic weather station...

    • doi.pangaea.de
    html, tsv
    Updated Mar 25, 2019
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    YOPP-SH Meteorological observations from automatic weather station Alessandra, Antarctica [Dataset]. https://doi.pangaea.de/10.1594/PANGAEA.899603
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    tsv, htmlAvailable download formats
    Dataset updated
    Mar 25, 2019
    Dataset provided by
    PANGAEA
    Laboratory for Observations and Analyses of Earth and Climate
    Authors
    Paolo Grigioni; Adriano Antonelli; Giuseppe Camporeale; Virginia Ciardini; Lorenzo De Silvestri; Stefano Dolci; Antonio Iaccarino; Marco Proposito; Claudio Scarchilli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 16, 2018 - Feb 15, 2019
    Area covered
    Variables measured
    DATE/TIME, Wind speed, Wind direction, Temperature, air, Humidity, relative, Pressure, atmospheric
    Description

    This dataset is about: YOPP-SH Meteorological observations from automatic weather station Alessandra, Antarctica. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.899643 for more information.

  13. MODF for Tiksi, Russia, during YOPP SOP1 and SOP2

    • adc.met.no
    Updated Jun 8, 2023
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    Elena Akish; Sara Morris (2023). MODF for Tiksi, Russia, during YOPP SOP1 and SOP2 [Dataset]. https://adc.met.no/dataset/62f4a27b-fc21-5e15-832f-c79c61382220
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    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Norwegian Meteorological Institutehttp://met.no/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    Elena Akish; Sara Morris
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Sep 30, 2018
    Area covered
    Description

    Tiksi is a node for a number of global observation programs, and the science focus is on atmosphere-surface exchanges, radiation, aerosols, and climate grade meteorological measurements.

  14. MODF for Eureka, Canada, during YOPP SOP1 and SOP2

    • adc.met.no
    Updated Jun 7, 2023
    + more versions
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    Elena Akish; Sara Morris (2023). MODF for Eureka, Canada, during YOPP SOP1 and SOP2 [Dataset]. https://adc.met.no/dataset/fa8c5455-7441-523c-ba82-13e4152a7b9c
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    Dataset updated
    Jun 7, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Norwegian Meteorological Institutehttp://met.no/
    Authors
    Elena Akish; Sara Morris
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Sep 30, 2018
    Area covered
    Description

    Eureka is a node for a number of global observation programs, and the science focus is on atmosphere-surface exchanges, radiation, aerosols, and climate grade meteorological measurements.

  15. w

    info@yopp.jp - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, info@yopp.jp - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/info@yopp.jp/
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    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jun 16, 2025
    Description

    Explore historical ownership and registration records by performing a reverse Whois lookup for the email address info@yopp.jp..

  16. YOPP-SH RS-SLWC Marambio

    • zenodo.org
    zip
    Updated Feb 26, 2023
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    Paola Rodriguez Imazio; Paola Rodriguez Imazio (2023). YOPP-SH RS-SLWC Marambio [Dataset]. http://doi.org/10.5281/zenodo.7674598
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    zipAvailable download formats
    Dataset updated
    Feb 26, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Paola Rodriguez Imazio; Paola Rodriguez Imazio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    SLWC probes and RS data obtained during YOPP-SH in Marambio.

  17. i

    Grant Giving Statistics for Edward A and Josse Hallnan Yopp Foundation

    • instrumentl.com
    Updated May 20, 2022
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    (2022). Grant Giving Statistics for Edward A and Josse Hallnan Yopp Foundation [Dataset]. https://www.instrumentl.com/990-report/yopp-foundation-xxxxx1000
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    Dataset updated
    May 20, 2022
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Edward A and Josse Hallnan Yopp Foundation

  18. t

    Ground meteorological data (T, P, RH) obtained during the YOPP SOP in summer...

    • service.tib.eu
    • doi.pangaea.de
    Updated Nov 30, 2024
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    (2024). Ground meteorological data (T, P, RH) obtained during the YOPP SOP in summer 2018 at Thule Air Base, Greenland [Dataset]. https://service.tib.eu/ldmservice/dataset/png-doi-10-1594-pangaea-899519
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    Dataset updated
    Nov 30, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Qaanaaq, Greenland
    Description

    In the frame of the OASIS-YOPP project, ground measurements of temperature, pressure and relative humidity have been carried out at the Thule High Arctic Atmospheric Observatory (THAAO, http://www.thuleatmos-it.it/) during the summer Arctic Special Observing Period of the YOPP. The THAAO is located on South Mountain, at 220 m a.m.s.l., in the proximities of the Thule Air Base (76.5 °N, 68.8° W).

  19. d

    Downwelling surface radiative fluxes at Bjørnøya (Dec 2015 - Aug 2016), link...

    • search.dataone.org
    • doi.pangaea.de
    Updated Mar 14, 2018
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    Godøy, Øystein; Norwegian Meteorological Institute (2018). Downwelling surface radiative fluxes at Bjørnøya (Dec 2015 - Aug 2016), link to netCDF file [Dataset]. http://doi.org/10.1594/PANGAEA.885679
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    Dataset updated
    Mar 14, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Godøy, Øystein; Norwegian Meteorological Institute
    Area covered
    Description

    Downwelling surface radiative fluxes observed at the meteorological station at Bjørnøya in the Barents Sea. Measurements are made using Kipp and Zonen CMP21 and CGR4 pyranometers and pyrgeometers. Daily maintenance is performed by the meteorological personnel at the station. Data are averaged over the last minute and the time is set to UTC. This data set was originally supported by the Norwegian Research Council but is now continued by the Norwegian Meteorological Institute. The quality control performed is by visual inspection and by comparison of clear sky values against RTM simulations. Originally this station was started as an IPY station funded through iAOOS-Norway and IPY-THORPEX, currently it is continued by METNO.

  20. YOPP-SH Meteorological observations from automatic weather station Penguin,...

    • doi.pangaea.de
    html, tsv
    Updated Mar 25, 2019
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    Paolo Grigioni; Adriano Antonelli; Giuseppe Camporeale; Virginia Ciardini; Lorenzo De Silvestri; Stefano Dolci; Antonio Iaccarino; Marco Proposito; Claudio Scarchilli (2019). YOPP-SH Meteorological observations from automatic weather station Penguin, Antarctica [Dataset]. http://doi.org/10.1594/PANGAEA.899612
    Explore at:
    html, tsvAvailable download formats
    Dataset updated
    Mar 25, 2019
    Dataset provided by
    PANGAEA
    Laboratory for Observations and Analyses of Earth and Climate
    Authors
    Paolo Grigioni; Adriano Antonelli; Giuseppe Camporeale; Virginia Ciardini; Lorenzo De Silvestri; Stefano Dolci; Antonio Iaccarino; Marco Proposito; Claudio Scarchilli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 16, 2018 - Jan 25, 2019
    Area covered
    Variables measured
    DATE/TIME, Wind speed, Wind direction, Temperature, air, Humidity, relative, Pressure, atmospheric
    Description

    This dataset is about: YOPP-SH Meteorological observations from automatic weather station Penguin, Antarctica. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.899643 for more information.

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(2021). RadiCA (YOPP) - Radiation fluxes and cloud features from surface-based observations in the Antarctic Peninsula and Weddell Sea Region (iso19115-3.2018) [Dataset]. https://antarcticdatacenter.cnr.it/geonetwork/srv/search?keyword=ULTRAVIOLET%20RADIATION

RadiCA (YOPP) - Radiation fluxes and cloud features from surface-based observations in the Antarctic Peninsula and Weddell Sea Region (iso19115-3.2018)

Explore at:
Dataset updated
Aug 15, 2021
Area covered
Antarctica, Weddell Sea, Antarctic Peninsula
Description

The main goal of our proposal is to characterize the surface radiative budget as well as cloudiness which features at the Argentine Bases Marambio and Belgrano II during the YOPP-SH Special Observing Period (SOP) as well as the YOPP Consolidation Phase. Specific objectives to secure our main goal during the SOP will be: 1 - develop a compact Radiation Measurement UNIT (RMU) robust enough to allow continuous measurements in harsh environment through which to make shortwave, longwave observations as well as to record status of the sky. 2 - secure UV measurements at both stations. 3 - develop specific tools to analyse on a daily basis (weakly for clouds) collected data and extract parameters of interest. For radiation these will include QA/QC SW and LW downwelling and upwelling fluxes, diffuse and direct components of solar radiation, UV spectral flux and doses. For clouds these will include, on a continuous base, cloud fraction derived both from radiometric measurement and sky camera observations, cloud type and cloud effect on SW radiation. In addition cloud base (or cloud ceiling) will be obtained by routine observations performed at the two stations. From UV measurements columnar ozone content will be also derived. Moving forward to YOPP consolidation phase, we plan to: 1 - extend dataset and its analysis, start to collect information on seasonal and inter-annual variability, determine Cloud radiative Forcing (CRF) 2 - perform extensive comparison between automatic and visual cloudiness observation methods. They being very useful to better understand quality and value of historical datasets at the two stationsù 3 - make comparison with cloudiness regime of Ross Sea and Antarctic Plateau. Make similar comparison for UV fluxes in the Peninsula and at Concordia.

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