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.
This dataset provides information about the number of properties, residents, and average property values for Yopp Lane cross streets in Paducah, KY.
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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
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FunCoup network information for gene yopP in Bacillus subtilis (strain 168). YOPP_BACSU SPbeta prophage-derived probable integrase/recombinase YopP
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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.
This dataset provides information about the number of properties, residents, and average property values for Everett Yopp Drive cross streets in Sneads Ferry, NC.
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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.
This dataset provides information about the number of properties, residents, and average property values for Ruby Yopp Circle cross streets in Sneads Ferry, NC.
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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 ';
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).
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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.
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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.
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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.
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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.
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Explore historical ownership and registration records by performing a reverse Whois lookup for the email address info@yopp.jp..
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SLWC probes and RS data obtained during YOPP-SH in Marambio.
Financial overview and grant giving statistics of Edward A and Josse Hallnan Yopp Foundation
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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).
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.
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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.
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.