{"dp_type": "Dataset", "free_text": "Solar Radiation"}
[{"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-78 -60,-74.6 -60,-71.2 -60,-67.8 -60,-64.4 -60,-61 -60,-57.6 -60,-54.2 -60,-50.8 -60,-47.400000000000006 -60,-44 -60,-44 -61.3,-44 -62.6,-44 -63.9,-44 -65.2,-44 -66.5,-44 -67.8,-44 -69.1,-44 -70.4,-44 -71.7,-44 -73,-47.4 -73,-50.8 -73,-54.2 -73,-57.6 -73,-61 -73,-64.4 -73,-67.8 -73,-71.2 -73,-74.6 -73,-78 -73,-78 -71.7,-78 -70.4,-78 -69.1,-78 -67.8,-78 -66.5,-78 -65.2,-78 -63.9,-78 -62.6,-78 -61.3,-78 -60))"], "date_created": "Fri, 06 Jan 2023 00:00:00 GMT", "description": "This dataset comprises a series of geotiff grids of modelled solar radiation (Wh m-2 day-1) for a portion of the Western Antarctic Peninsula. The grids were generated using the r.sun module in Grass GIS. In addition to the a geotiff grid representing the average daily global horizontal irradiance for an entire year, the dataset also includes geotiffs containing daily values of direct beam irradiance, diffuse irradiance, ground reflected irradiance, and global (total) irradiance (all in Wh m-2 day-1) as well as insolation time (hours). This dataset was created in support of projects ANT-1744550, -1744570, -1744584, and -1744602.", "east": -44.0, "geometry": ["POINT(-61 -66.5)"], "keywords": "Antarctica; Antarctic Peninsula; Biota; GIS; GIS Data; LMG1904; R/v Laurence M. Gould; Solar Radiation", "locations": "Antarctica; Antarctic Peninsula", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -73.0, "title": "Modelled Solar Irradiance for Western Antarctic Pennisula", "uid": "601651", "west": -78.0}, {"awards": null, "bounds_geometry": ["POINT(-58 -62)"], "date_created": "Mon, 21 Dec 2020 00:00:00 GMT", "description": "Surface spectra of red and green snow algae were collected at two sites on King George Island (KGI), the largest of the South Shetland Islands, and one site on northern Nelson Island (NI), southwest of KGI in January 2018. Optically thick (\u003e 30cm) snow packs were prioritized for spectral albedo data acquisition and corresponding snow algae sampling in order to minimize the impact of the underlying ground on spectral albedo. Sites were also selected based on where it was possible to sample 1) a control site with relatively clean snow having no visible snow algae 2) green snow algae, 3) red snow algae and 4) mixed-phase green and red algae. At each site, duplicates of each snow type were measured with the spectrometer (except at Nelson Island where only one Mixed site was observed). All samples were collected around noon local Chilean time, when the seasonal snow pack was also receiving the most incoming solar radiation. Spectral reflectance measurements were collected with an Analytical Spectral Devices (ASD) FieldSpec\u00ae 4 hyperspectral spectroradiometer (Malvern Panalytical, USA) between 350 and 2500 nm. The sensor was equipped with a light-diffusing fore optic remote cosine receptor (RCR) to measure planar irradiance. We selected three different locations and collected spectral measurements for two samples each of green, red, and mixed snow algae patches, and two algae-free or \u201cclean\u201d snow areas, for a total of 24 measurement sites (2 of each of the 4 types across the 3 sites). Areas with snowmelt ponding were avoided. The RCR was placed upward to collect the downwelling planar irradiance incident upon the snow surface (Ed) and the upwelling planar irradiance reflected from the snow (Eu). Measurements were collected in triplicate. The operator was located in a direction 90 - 135\u00ba away from the sun to minimize solar glint and self-shadowing. Snow conditions did not allow for a tripod, so nadir orientation was determined by practice with a level and by visual assistance of an observer. Since the measurements were carried out under heavily overcast conditions where irradiance is dominated by the diffuse insolation with no solar azimuthal dependence, the influence of slight tilt when measuring the downwelling irradiance (i.e. the cosine error) is expected to be minor (\u003c0.5%). The reflectance measurements were taken prior to excavation of snow sample for laboratory analysis. Post-processing of the data involved computing spectral reflectance, as the ratio of the upwelling flux normalized to the downwelling flux for each wavelength. The mean of the three measurements was calculated for each site. Ambient light conditions were too low in the short-wave infrared wavelengths for getting adequate signal-to-noise for our measurements. In post-processing, reflectance values were truncated at 1350 nm for this analysis. This value represents the limit often used for RF calculations in other studies. In addition, empirical correction coefficients were used to correct for temperature related radiometric inter-channel steps using the procedure and MATLAB code from Hueni et al. (2017). This removed the step function near 1000 nm for most of the spectra, although not fully for all spectra. However, this discontinuity does not significantly impact results or albedo calculations. Albedo was calculated as the integrated R in two different intervals: visible (400-700 nm) and infrared (700-1300 nm). ", "east": -58.0, "geometry": ["POINT(-58 -62)"], "keywords": "Antarctica; South Shetland Islands", "locations": "South Shetland Islands; Antarctica", "north": -62.0, "nsf_funding_programs": null, "persons": "Khan, Alia", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -62.0, "title": "Red and Green Snow Algae Surface Spectra", "uid": "601412", "west": -58.0}, {"awards": "0739780 Taylor, Kendrick", "bounds_geometry": ["POINT(-112.117 -79.666)"], "date_created": "Sat, 01 Jan 2011 00:00:00 GMT", "description": "This award supports a project to develop a 2,000-year high-temporal resolution record of biomass burning from the analysis of black carbon in the WAIS Divide bedrock ice core. Pilot data for the WAIS WD05A core demonstrates that we now have the ability to reconstruct this record with minimal impact on the amount of ice available for other projects. The intellectual merit of this project is that black carbon (BC) aerosols result solely from combustion and play a critical but poorly quantified role in global climate forcing and the carbon cycle. When incorporated into snow and ice, BC increases absorption of solar radiation making seasonal snow packs, mountain glaciers, polar ice sheets, and sea ice much more vulnerable to climate warming. BC emissions in the Southern Hemisphere are dominated by biomass burning in the tropical regions of Southern Africa, South America and South Asia. Biomass burning, which results from both climate and human activities, alters the atmospheric composition of greenhouse gases, aerosols and perturbs key biogeochemical cycles. A long-term record of biomass burning is needed to aid in the interpretation of ice core gas composition and will provide important information regarding human impacts on the environment and climate before instrumental records.", "east": -112.117, "geometry": ["POINT(-112.117 -79.666)"], "keywords": "Antarctica; Atmosphere; Black Carbon; Chemistry:ice; Chemistry:Ice; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core Records; WAIS Divide; WAIS Divide Ice Core", "locations": "WAIS Divide; Antarctica", "north": -79.666, "nsf_funding_programs": null, "persons": "Taylor, Kendrick C.", "project_titles": "WAIS DIVIDE - High Temporal Resolution Black Carbon Record of Southern Hemisphere Biomass Burning", "projects": [{"proj_uid": "p0000022", "repository": "USAP-DC", "title": "WAIS DIVIDE - High Temporal Resolution Black Carbon Record of Southern Hemisphere Biomass Burning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "WAIS Divide Ice Core", "south": -79.666, "title": "WAIS DIVIDE - High Temporal Resolution Black Carbon Record of Southern Hemisphere Biomass Burning", "uid": "600142", "west": -112.117}]
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| Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
|---|---|---|---|---|---|---|---|---|---|
|
Modelled Solar Irradiance for Western Antarctic Pennisula
|
1744584 |
2023-01-06 | Klein, Andrew |
Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity |
This dataset comprises a series of geotiff grids of modelled solar radiation (Wh m-2 day-1) for a portion of the Western Antarctic Peninsula. The grids were generated using the r.sun module in Grass GIS. In addition to the a geotiff grid representing the average daily global horizontal irradiance for an entire year, the dataset also includes geotiffs containing daily values of direct beam irradiance, diffuse irradiance, ground reflected irradiance, and global (total) irradiance (all in Wh m-2 day-1) as well as insolation time (hours). This dataset was created in support of projects ANT-1744550, -1744570, -1744584, and -1744602. | ["POLYGON((-78 -60,-74.6 -60,-71.2 -60,-67.8 -60,-64.4 -60,-61 -60,-57.6 -60,-54.2 -60,-50.8 -60,-47.400000000000006 -60,-44 -60,-44 -61.3,-44 -62.6,-44 -63.9,-44 -65.2,-44 -66.5,-44 -67.8,-44 -69.1,-44 -70.4,-44 -71.7,-44 -73,-47.4 -73,-50.8 -73,-54.2 -73,-57.6 -73,-61 -73,-64.4 -73,-67.8 -73,-71.2 -73,-74.6 -73,-78 -73,-78 -71.7,-78 -70.4,-78 -69.1,-78 -67.8,-78 -66.5,-78 -65.2,-78 -63.9,-78 -62.6,-78 -61.3,-78 -60))"] | ["POINT(-61 -66.5)"] | false | false |
|
Red and Green Snow Algae Surface Spectra
|
None | 2020-12-21 | Khan, Alia | No project link provided | Surface spectra of red and green snow algae were collected at two sites on King George Island (KGI), the largest of the South Shetland Islands, and one site on northern Nelson Island (NI), southwest of KGI in January 2018. Optically thick (> 30cm) snow packs were prioritized for spectral albedo data acquisition and corresponding snow algae sampling in order to minimize the impact of the underlying ground on spectral albedo. Sites were also selected based on where it was possible to sample 1) a control site with relatively clean snow having no visible snow algae 2) green snow algae, 3) red snow algae and 4) mixed-phase green and red algae. At each site, duplicates of each snow type were measured with the spectrometer (except at Nelson Island where only one Mixed site was observed). All samples were collected around noon local Chilean time, when the seasonal snow pack was also receiving the most incoming solar radiation. Spectral reflectance measurements were collected with an Analytical Spectral Devices (ASD) FieldSpec® 4 hyperspectral spectroradiometer (Malvern Panalytical, USA) between 350 and 2500 nm. The sensor was equipped with a light-diffusing fore optic remote cosine receptor (RCR) to measure planar irradiance. We selected three different locations and collected spectral measurements for two samples each of green, red, and mixed snow algae patches, and two algae-free or “clean” snow areas, for a total of 24 measurement sites (2 of each of the 4 types across the 3 sites). Areas with snowmelt ponding were avoided. The RCR was placed upward to collect the downwelling planar irradiance incident upon the snow surface (Ed) and the upwelling planar irradiance reflected from the snow (Eu). Measurements were collected in triplicate. The operator was located in a direction 90 - 135º away from the sun to minimize solar glint and self-shadowing. Snow conditions did not allow for a tripod, so nadir orientation was determined by practice with a level and by visual assistance of an observer. Since the measurements were carried out under heavily overcast conditions where irradiance is dominated by the diffuse insolation with no solar azimuthal dependence, the influence of slight tilt when measuring the downwelling irradiance (i.e. the cosine error) is expected to be minor (<0.5%). The reflectance measurements were taken prior to excavation of snow sample for laboratory analysis. Post-processing of the data involved computing spectral reflectance, as the ratio of the upwelling flux normalized to the downwelling flux for each wavelength. The mean of the three measurements was calculated for each site. Ambient light conditions were too low in the short-wave infrared wavelengths for getting adequate signal-to-noise for our measurements. In post-processing, reflectance values were truncated at 1350 nm for this analysis. This value represents the limit often used for RF calculations in other studies. In addition, empirical correction coefficients were used to correct for temperature related radiometric inter-channel steps using the procedure and MATLAB code from Hueni et al. (2017). This removed the step function near 1000 nm for most of the spectra, although not fully for all spectra. However, this discontinuity does not significantly impact results or albedo calculations. Albedo was calculated as the integrated R in two different intervals: visible (400-700 nm) and infrared (700-1300 nm). | ["POINT(-58 -62)"] | ["POINT(-58 -62)"] | false | false |
|
WAIS DIVIDE - High Temporal Resolution Black Carbon Record of Southern Hemisphere Biomass Burning
|
0739780 |
2011-01-01 | Taylor, Kendrick C. |
WAIS DIVIDE - High Temporal Resolution Black Carbon Record of Southern Hemisphere Biomass Burning |
This award supports a project to develop a 2,000-year high-temporal resolution record of biomass burning from the analysis of black carbon in the WAIS Divide bedrock ice core. Pilot data for the WAIS WD05A core demonstrates that we now have the ability to reconstruct this record with minimal impact on the amount of ice available for other projects. The intellectual merit of this project is that black carbon (BC) aerosols result solely from combustion and play a critical but poorly quantified role in global climate forcing and the carbon cycle. When incorporated into snow and ice, BC increases absorption of solar radiation making seasonal snow packs, mountain glaciers, polar ice sheets, and sea ice much more vulnerable to climate warming. BC emissions in the Southern Hemisphere are dominated by biomass burning in the tropical regions of Southern Africa, South America and South Asia. Biomass burning, which results from both climate and human activities, alters the atmospheric composition of greenhouse gases, aerosols and perturbs key biogeochemical cycles. A long-term record of biomass burning is needed to aid in the interpretation of ice core gas composition and will provide important information regarding human impacts on the environment and climate before instrumental records. | ["POINT(-112.117 -79.666)"] | ["POINT(-112.117 -79.666)"] | false | false |
