Tracing the imprint of river runoff on Arctic water mass transformation [dataset]

This dataset contains the underlying data for the manuscript Lambert et al., Tracing the imprint of river runoff
variability on Arctic water mass transformation, submitted to JGR-Oceans

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Both files contain variables with the general notation:
S..., which are the cumulative salt fluxes;
S..2, which are the salinity-transformation fluxes;
T..., which are the cumulative heat fluxes; and
T..2, which are the temperature-transformation fluxes.

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In the file crfdata.nc, the variable names contain:
slrx: surface salinity restoring term
emp: evaporation-precipitation, small en neglected in the manuscript
rnf: river runoff
ice: ice melt
brnx: brine rejection including the penetration into subsurface layers
qns: nonsolar surface heat flux
qswx: heat flux due to shortwave radiation including the penetration into subsurface layers
fsiso/ftiso: isopycnal diffusion of salt/heat
fsdia/ftdia: diapycnal diffusion of salt/heat
sec: advection across the collective Arctic gateways

Each variable is of size [4,12,nS] or [4,12,nT] where nS is the number of salinity bins, equal to the length of variable S
                                                      and nT is the number of temperature bins, equal to the length of variable T

The first dimension is ordered as follows:
0: delta_s, the equilibrium response to a 30% increase in total Arctic river runoff
1: tau_s, the e-folding time scale of this response in months
2: std, the standard deviation of the control value
3: ctrl, the average control value

The second dimension indicates the calendar month

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In the file pp2.nc, the variable names contain:
slrx: surface salinity restoring term
rnf: river runoff
ice: ice melt
brnx: brine rejection including the penetration into subsurface layers
qns: nonsolar surface heat flux
qswx: heat flux due to shortwave radiation including the penetration into subsurface layers
adv: advection across the collective Arctic gateways
dif: total isopycnal + diapyncal diffusion

Each variable is of size [2,nS] or [2,nT]

The first dimension is:
0: explained model variance between 0 and 1
1: explained model variance where correlations with p>.05 equal NaN