{"dp_type": "Project", "free_text": "Wind Data"}
[{"awards": "1543377 Seefeldt, Mark; 1543325 Landolt, Scott", "bounds_geometry": "POLYGON((166.918 -77.8675,167.2997 -77.8675,167.6814 -77.8675,168.0631 -77.8675,168.4448 -77.8675,168.8265 -77.8675,169.2082 -77.8675,169.5899 -77.8675,169.9716 -77.8675,170.3533 -77.8675,170.735 -77.8675,170.735 -77.98145,170.735 -78.0954,170.735 -78.20935,170.735 -78.3233,170.735 -78.43725,170.735 -78.5512,170.735 -78.66515,170.735 -78.7791,170.735 -78.89305,170.735 -79.007,170.3533 -79.007,169.9716 -79.007,169.5899 -79.007,169.2082 -79.007,168.8265 -79.007,168.4448 -79.007,168.0631 -79.007,167.6814 -79.007,167.2997 -79.007,166.918 -79.007,166.918 -78.89305,166.918 -78.7791,166.918 -78.66515,166.918 -78.5512,166.918 -78.43725,166.918 -78.3233,166.918 -78.20935,166.918 -78.0954,166.918 -77.98145,166.918 -77.8675))", "dataset_titles": "Precipitation Observations for the Northwest Ross Ice Shelf - 2017-12 to 2019-11", "datasets": [{"dataset_uid": "601441", "doi": "10.15784/601441", "keywords": "Accumulation; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Meteorology; Precipitation; Ross Ice Shelf; Snow; Snow/ice; Snow/Ice; Weatherstation; Weather Station Data", "people": "Seefeldt, Mark", "repository": "USAP-DC", "science_program": null, "title": "Precipitation Observations for the Northwest Ross Ice Shelf - 2017-12 to 2019-11", "url": "https://www.usap-dc.org/view/dataset/601441"}], "date_created": "Tue, 27 Apr 2021 00:00:00 GMT", "description": "Accurately measuring precipitation in Antarctica is important for purposes such as calculating Antarctica?s mass balance and contribution to global sea level rise, interpreting ice core records, and validating model- and satellite-based precipitation estimates. There is a critical need for reliable, autonomous, long-term measurements of Antarctic precipitation in order to better understand its variability in space in time. Such records over time are essentially absent from the continent, despite their importance. This project will deploy and test instrumentation to measure and record rates of snowfall and blowing snow in Antarctica. \r\n\r\nProject goals are based on installation of four low-power, autonomous Antarctic precipitation systems (APS) co-located at automatic weather station (AWS) sites in the Ross Island region of Antarctica. The APSs are designed with an integrated sensor approach to provide multiple types of observations of snow accumulation types at the test sites. The APSs are designed to construct an accurate timeline of snow accumulation, and to distinguish the water equivalent of fallen precipitation from surface blowing (lofted) snow, a prime confounding factor. The standard suite of instruments to be deployed includes: precipitation gauge with double Alter windshield, laser disdrometer, laser snow height sensor, optical precipitation detector, anemometer at gauge height, and a visible /infrared webcam. These instruments have previously been shown to work well in cold regions applications.", "east": 170.735, "geometry": "POINT(168.8265 -78.43725)", "instruments": null, "is_usap_dc": true, "keywords": "USAP-DC; AMD; Amd/Us; USA/NSF; SNOW; Wind Data; WEATHER STATIONS; Ross Ice Shelf", "locations": "Ross Ice Shelf", "north": -77.8675, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Seefeldt, Mark; Landolt, Scott", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e WEATHER STATIONS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.007, "title": "Collaborative Research: Implementing Low-power, Autonomous Observing Systems to Improve the Measurement and Understanding of Antarctic Precipitation", "uid": "p0010173", "west": 166.918}]
X
X
Help on the Results MapX
This window can be dragged by its header, and can be resized from the bottom right corner.
Clicking the Layers button - the blue square in the top left of the Results Map - will display a list of map layers you can add or remove
from the currently displayed map view.
The Results Map and the Results Table
- The Results Map displays the centroids of the geographic bounds of all the results returned by the search.
- Results that are displayed in the current map view will be highlighted in blue and brought to the top of the Results Table.
- As the map is panned or zoomed, the highlighted rows in the table will update.
- If you click on a centroid on the map, it will turn yellow and display a popup with details for that project/dataset - including a link to the landing page. The bounds for the project(s)/dataset(s) selected will be displayed in red. The selected result(s) will be highlighted in red and brought to the top of the table.
- The default table sorting order is: Selected, Visible, Date (descending), but this can be changed by clicking on column headers in the table.
- Selecting Show on Map for an individual row will both display the geographic bounds for that result on a mini map, and also display the bounds and highlight the centroid on the Results Map.
- Clicking the 'Show boundaries' checkbox at the top of the Results Map will display all the bounds for the filtered results.
Defining a search area on the Results Map
- If you click on the Rectangle or Polygon icons in the top right of the Results Map, you can define a search area which will be added to any other search criteria already selected.
- After you have drawn a polygon, you can edit it using the Edit Geometry dropdown in the search form at the top.
- Clicking Clear in the map will clear any drawn polygon.
- Clicking Search in the map, or Search on the form will have the same effect.
- The returned results will be any projects/datasets with bounds that intersect the polygon.
- Use the Exclude project/datasets checkbox to exclude any projects/datasets that cover the whole Antarctic region.
Viewing map layers on the Results Map
Older retrieved projects from AMD. Warning: many have incomplete information.
To sort the table of search results, click the header of the column you wish to search by. To sort by multiple columns, hold down the shift key whilst selecting the sort columns in order.
| Project Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Dataset Links and Repositories | Abstract | Bounds Geometry | Geometry | Selected | Visible | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Collaborative Research: Implementing Low-power, Autonomous Observing Systems to Improve the Measurement and Understanding of Antarctic Precipitation
|
1543377 1543325 |
2021-04-27 | Seefeldt, Mark; Landolt, Scott |
|
Accurately measuring precipitation in Antarctica is important for purposes such as calculating Antarctica?s mass balance and contribution to global sea level rise, interpreting ice core records, and validating model- and satellite-based precipitation estimates. There is a critical need for reliable, autonomous, long-term measurements of Antarctic precipitation in order to better understand its variability in space in time. Such records over time are essentially absent from the continent, despite their importance. This project will deploy and test instrumentation to measure and record rates of snowfall and blowing snow in Antarctica. Project goals are based on installation of four low-power, autonomous Antarctic precipitation systems (APS) co-located at automatic weather station (AWS) sites in the Ross Island region of Antarctica. The APSs are designed with an integrated sensor approach to provide multiple types of observations of snow accumulation types at the test sites. The APSs are designed to construct an accurate timeline of snow accumulation, and to distinguish the water equivalent of fallen precipitation from surface blowing (lofted) snow, a prime confounding factor. The standard suite of instruments to be deployed includes: precipitation gauge with double Alter windshield, laser disdrometer, laser snow height sensor, optical precipitation detector, anemometer at gauge height, and a visible /infrared webcam. These instruments have previously been shown to work well in cold regions applications. | POLYGON((166.918 -77.8675,167.2997 -77.8675,167.6814 -77.8675,168.0631 -77.8675,168.4448 -77.8675,168.8265 -77.8675,169.2082 -77.8675,169.5899 -77.8675,169.9716 -77.8675,170.3533 -77.8675,170.735 -77.8675,170.735 -77.98145,170.735 -78.0954,170.735 -78.20935,170.735 -78.3233,170.735 -78.43725,170.735 -78.5512,170.735 -78.66515,170.735 -78.7791,170.735 -78.89305,170.735 -79.007,170.3533 -79.007,169.9716 -79.007,169.5899 -79.007,169.2082 -79.007,168.8265 -79.007,168.4448 -79.007,168.0631 -79.007,167.6814 -79.007,167.2997 -79.007,166.918 -79.007,166.918 -78.89305,166.918 -78.7791,166.918 -78.66515,166.918 -78.5512,166.918 -78.43725,166.918 -78.3233,166.918 -78.20935,166.918 -78.0954,166.918 -77.98145,166.918 -77.8675)) | POINT(168.8265 -78.43725) | false | false |
