Penn State

Find Data: Data Discovery

Data Summary

Back to Search Results
TitleInfluence functions for the INFLUX Tower Network
Date2024
AbstractThis data consists of influence functions created for the INFLUX tower network for the purpose of calculating methane and carbon dioxide enhancements in the region. Footprints were generated using the Lagrangian Particle Dispersion model (LPDM, Uliasz 1993) was run from March 2020-May 2023. The model uses in-house WRF simulations for the meteorological transport as described in Davis et al., (2017). Twenty four hundred (2400) particles were released during each hourly period and are traced back 72 hours backwards in time. A static binning height of 110 m AGL was used to calculate surface influence. This directory will later be updated with influence functions generated using HYSPLIT-STILT. Lat/Lon grid information for the LPDM influence functions are contained within the influence functions themselves. Tower coordinates and heights can be found in tower-locations.csv
MetadataClick here for full metadata
Data DOIdoi:10.26208/1581-FM45

Researchers
Barkley, Z. R.
Penn State Department of Meteorology
Davis, K. J.
Penn State Department of Meteorology
Miles, N. L.
Penn State Department of Meteorology
Richardson, S. J.
Penn State Department of Meteorology
Deng, A.
Penn State Department of Meteorology
Haupt, B. J.
Penn State Earth and Environmental Systems Institute

Data Access


References
Murphy, S. L., Davis, K. J., Miles, N. L., Barkley, Z. R., Deng, A., Horne, J. P., Richardson, S. J., & Gourdji, S. M. (in prep). Simulating complex CO2 background conditions for Indianapolis, IN, with a simple ecosystem CO2 flux model.