Propensity of cold air drainage index and related variables
Cold air drainage down slopes may form cold air pools in valleys and surface depressions. These cold air pools can significantly affect ecosystem processes, agricultural crops, and air quality. Rupp et al. (2021, Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-021-03712-y) proposed a propensity of cold air drainage index to represent the likelihood of occurrence of clear-sky nocturnal cold-air drainage. Using this index, they evaluated the potential response of cold air drainage to warming resulting from anthropogenic greenhouse gases, specifically CO2. This data release consists of the data displayed in the main text and supporting information figures of Rupp et al. (2021). The data include relative decreases in the propensity of cold air drainage index by 2100 CE with and without the direct effect of increased atmospheric CO2, effective CO2 emissivity, and the H2O-CO2 overlap correction needed to account for the overlap of H2O and CO2 spectral absorption bands. The methods used to create these data are described in Rupp et al. (2021). Additional details are provided in the metadata (Rupp_et_al_2021_data_release_metadata.xml) and data dictionary (Rupp_et_al_2021_data_dictionary.csv) files.
Citation Information
Publication Year | 2022 |
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Title | Propensity of cold air drainage index and related variables |
DOI | 10.5066/P9O32PGV |
Authors | David Rupp, Sarah Shafer, Christopher Daly, Julia A. Jones, Chad W. Higgins |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Geosciences and Environmental Change Science Center |
Rights | This work is marked with CC0 1.0 Universal |