  We propose and study a temporal, and spatio-temporal discretisation of the 2D
stochastic Navier--Stokes equations in bounded domains supplemented with
no-slip boundary conditions. Considering additive noise, we base its
construction on the related nonlinear random PDE, which is solved by a
transform of the solution of the stochastic Navier--Stokes equations. We show
strong rate (up to) $1$ in probability for a corresponding discretisation in
space and time (and space-time). Convergence of order (up to) 1 in time was
previously only known for linear SPDEs.
