Automated Author ProfileKulkarni, Gourihar
Kulkarni, Gourihar
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: 9.9 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Hygroscopicity parameter kappa derived from CCN and UHSAS data sources
Authors
- Kulkarni, Gourihar ;
- Levin, Maxwell ;
- Shilling, John
Real-time, immersion mode ambient ice nucleating particle (INP) concentrations were measured at ARM’s Southern Great Plains (SGP) site during the AGINSGP field experiment using a continuous flow diffusion chamber (CFDC) from Pacific Northwest National Laboratory (PNNL). The PNNL-CFDC is an ice-thermal gradient diffusion chamber that optically detects the freezing of single aerosol particles (Kulkarni et al. 2020). The instrument was located in the guest instrument facility (GIF) and measured INP concentrations from April 8th to April 29th. Air was drawn into the GIF through custom aluminum stack inlets (6” inner diameter) attached vertically to the outer GIF wall and the GIF outside platform. A blower pulled air through the stacks at a velocity of 1 m/s. Aerosol instruments subsampled via wall ports, through either 3/8” or 1/4" copper lines, depending on sample flow of the instrument. Kulkarni, G., Hiranuma, N., Möhler, O., Höhler, K., China, S., Cziczo, D. J., & DeMott, P. J. (2020). A new method for operating a continuous-flow diffusion chamber to investigate immersion freezing: Assessment and performance study. Atmospheric Measurement Techniques, 13(12), 6631–6643. https://doi.org/10.5194/amt-13-6631-2020.
Authors
- Kulkarni, Gourihar ;
- Steinke, Isabelle
This product calculates the hygroscopicity parameter kappa from aerosol particle concentrations and size distributions
Authors
- Kulkarni, Gourihar ;
- Levin, Maxwell ;
- Shilling, John
ACSM instrument measure mass loading (ug/m3) of non-refractory aerosol particles particularly organics, sulfate, chlorides, ammonium, and nitrates in real-time. The instrument is run autonomously at various ARM sites at time resolution equal to 30 minutes. Different data products are developed. The raw data (.itx and .asc) files are ingested to produce the.a0 product - the first netCDF file. These raw files are used by the mentor to calculate the mentor processed mass loadings. The .a0 files are further used to develop the .b1 level product.
Authors
- Kulkarni, Gourihar ;
- Zawadowicz, Maria Anna ;
- Hayes, Christopher ;
- Allain, Mirtha ;
- Salwen, Cynthia ;
- Behrens, Bill
oacomp1zhang
Authors
- Shilling, John ;
- Kulkarni, Gourihar
aosccnavg
Authors
- Shilling, John ;
- Kulkarni, Gourihar
aosccnavg
Authors
- Shilling, John ;
- Kulkarni, Gourihar
rlccnprof1ghan
Authors
- Zhang, Damao ;
- Kulkarni, Gourihar ;
- Shilling, John