Here we aim to assess the performance of LSMs at the subdaily time scale when driven with meteorological observations. In particular, we address the open question of why the complex land surface models can be outcompeted by simple linear regression models and point toward key parameterizations of heat redistribution processes that can be improved given the information on observed diurnal signatures.