QSCAT-R: The QuikSCAT Tropical Cyclone Radial Structure Dataset
To Access Resource:
Questions? Email Resource Support Contact:
-
Chavas, Daniel R., drchavas@gmail.com
ral-tcgp@ucar.edu
UCAR/NCAR - Research Applications Laboratory
Resource Type | dataset |
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Temporal Range Begin | N/A |
Temporal Range End | N/A |
Temporal Resolution | N/A |
Bounding Box North Lat | N/A |
Bounding Box South Lat | N/A |
Bounding Box West Long | N/A |
Bounding Box East Long | N/A |
Spatial Representation | N/A |
Spatial Resolution | N/A |
Related Links | N/A |
Additional Information | N/A |
Resource Format | N/A |
Standardized Resource Format |
UNDEFINED FORMAT |
Asset Size | N/A |
Legal Constraints |
Use of these data are subject to a data user agreement and license. Copyright 2015 Princeton University. (See http://verif.rap.ucar.edu/tcdata/quikscat/dataset/data_user_agreement_and_license.php ) |
Access Constraints |
None |
Software Implementation Language | N/A |
Resource Support Name | Chavas, Daniel R., drchavas@gmail.com |
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Resource Support Email | ral-tcgp@ucar.edu |
Resource Support Organization | UCAR/NCAR - Research Applications Laboratory |
Distributor | N/A |
Metadata Contact Name | Tropical Cyclone Guidance Project |
Metadata Contact Email | ral-tcgp@ucar.edu |
Metadata Contact Organization | UCAR/NCAR - Research Applications Laboratory |
Author |
Chavas, Daniel R. Vigh, Jonathan L. |
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Publisher |
UCAR/NCAR -- Research Applications Laboratory |
Publication Date | 2015 |
Digital Object Identifier (DOI) | https://doi.org/10.5065/D65B00J3 |
Alternate Identifier | N/A |
Resource Version | N/A |
Topic Category | N/A |
Progress | N/A |
Metadata Date | 2020-01-02T10:35:36.381744 |
Metadata Record Identifier | 10.5065/D65B00J3 |
Metadata Language | eng |
Suggested Citation | Chavas, Daniel R., Vigh, Jonathan L.. (2015). QSCAT-R: The QuikSCAT Tropical Cyclone Radial Structure Dataset. UCAR/NCAR -- Research Applications Laboratory. https://doi.org/10.5065/D65B00J3. Accessed 27 September 2023. |
Harvest Source
- ISO-19139 ISO-19139 Metadata