Site is currently under maintenance
Some features may be unavailable or limited during this time. We apologize for any inconvenience and appreciate your patience.

Automated Author Profile

Panda, Santosh

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

50.0%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Simulated permafrost dynamics across the Alaskan North Slope region in the 20th and 21st centuries

The permafrost module of the Alaska Integrated Ecosystem Model (AIEM) is used to establish high spatial resolution scenario of changes in permafrost characteristics in the Alaskan Arctic in response to projected climate change. Retrospective modeling was performed for the 1901-2009 period using the high resolution CRU TS3.1 climate forcing from the Scenario Network for Alaska Planning (SNAP). To predict future changes in permafrost in natural conditions, a five model composite climate forcing (2006-2100) under the Representative Concentration Pathways (RCP) 4.5 scenario is utilized. In particular, the temperature and precipitation of models (NCAR-CCSM4, GFDL-CM3, GISS-E2R, IPSL-CM5A-LR, and MRI-CGCM3) are considered. Reference: Nicolsky, D. J., V. E. Romanovsky, S. K. Panda, S. S. Marchenko, and R. R. Muskett (2017), Applicability of the ecosystem type approach to model permafrost dynamics across the Alaska North Slope, J. Geophys. Res. Earth Surf., 122, 50–75, doi:10.1002/2016JF003852

Authors

  • Nicolsky, Dmitry ;
  • Romanovsky, Vladimir ;
  • Panda, Santosh ;
  • Muskett, Reginal
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.21429/z4nt-j450January 2015