Data on daily average
temperature, death rates,
and confounding variables (
eg,
humidity and air pollution) were used to calculate the
temperature of minimum mortality (the optimal
temperature),
and to quantify total deaths due to non-optimal ambient
temperature in each location.
Saturation
temperature Tsat (A)
and saturation
humidity rhsat (B) are marked by horizontal black solid lines (Tsat = Tonset, Tonset
and rhsat calculated as intersection of mean time series for the training period from the
EG and NP)
and day of the saturation (dsat)(when
temperature in the
EG in 2016 reaches Tsat)-- with dark blue.
You then asked «Or perhaps you can point me to the dataset that shows, for several individual locations for the same period as the
temperature set the: * CO2 concentrations (OK, we could use Mauna Loa for that) * Aerosols (sorry, can't use global records for that, there can be huge differences on a local scale) * Absolute
humidity * TSI with correction for local albedo, including cloud albedo,
and the place on earth» Well actually, I can
and have for the USA in terms of CO2,
humidity (RH but AH also if you insist),
and albedo, not to mention actual solar surface radiation,
and various other variables (
eg windspeed), as I have previously reported here for quite a few locations,
eg Pt Barrow.