Code and data associated with journal article, High sensitivity of tropical precipitation to local sea-surface temperature, by Good et al. (2020)

Python code and data associated with journal article, 'High sensitivity of tropical precipitation to local sea-surface temperature', by Good et al. (2020).

•  sortav_regress.py  -  sortav regression routine used to calculate kqsat
•  er_demo_sortav_OLS_difference.py  -  demonstration code calling sortav_regress.py
•  er_demo_sortav_OLS_difference.png  -  output from er_demo_sortav_OLS_difference.py
•  kqsat_CMIP5.nc, kqsat_CMIP6.nc  -  kqsat values for cmip5, cmip6 ensembles as in the paper
•  kqsat_observational_estimates_exDataFig6.nc  -  the 7 estimates of kqsat from Extended Data Figure 6 (the mean of these represents the central observational estimate of kqsat).
•  
•  kqsatSpatial_CMIP5.nc, kqsatSpatial_CMIP6.nc, kqsatSpatial_TRMM.nc  -  kqsatSpatial values for cmip5, cmip6 models, and TRMM observations, as in the paper.  Note: see the paper for limitations of kqsatSpatial: kqsat is our primary measure of precipitation sensitivity.