Automated Author ProfileWang, Xuanji
CIMSS/SSEC, University of Wisconsin-Madison
Wang, Xuanji
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The ongoing NOAA Climate Data Record of the extended AVHRR Polar Pathfinder (APP-x) cryosphere is a near real time monitoring of Arctic and Antarctic surface and atmospheric characteristics. They contain 19 geophysical variables over the Arctic and Antarctic for the period 1982 - present. All of them have undergone various degrees of validation, though not all are considered Climate Data Record (CDR) quality. The variables are (those considered by the developers to be CDR-quality are identified with an asterisk): Surface temperature, all-sky, snow, ice, and land* Surface albedo, all-sky* Sea ice thickness* Surface type Cloud mask* Cloud particle thermodynamic phase Cloud optical depth Cloud particle effective radius Cloud temperature Cloud pressure Cloud type Downwelling shortwave radiation at the surface* Downwelling longwave radiation at the surface* Upwelling shortwave radiation at the surface* Upwelling longwave radiation at the surface* Upwelling shortwave radiation at the top of the atmosphere (TOA)* Upwelling longwave radiation at the TOA* Shortwave cloud radiative forcing at the surface.
Authors
- Wang, Xuanji
The ongoing NOAA Climate Data Record of the extended AVHRR Polar Pathfinder (APP-x) cryosphere is a near real time monitoring of Arctic and Antarctic surface and atmospheric characteristics. They contain 19 geophysical variables over the Arctic and Antarctic for the period 1982 - present. All of them have undergone various degrees of validation, though not all are considered Climate Data Record (CDR) quality. The variables are (those considered by the developers to be CDR-quality are identified with an asterisk): Surface temperature, all-sky, snow, ice, and land* Surface albedo, all-sky* Sea ice thickness* Surface type Cloud mask* Cloud particle thermodynamic phase Cloud optical depth Cloud particle effective radius Cloud temperature Cloud pressure Cloud type Downwelling shortwave radiation at the surface* Downwelling longwave radiation at the surface* Upwelling shortwave radiation at the surface* Upwelling longwave radiation at the surface* Upwelling shortwave radiation at the top of the atmosphere (TOA)* Upwelling longwave radiation at the TOA* Shortwave cloud radiative forcing at the surface.
Authors
- Wang, Xuanji