Increasing the number of bits per cell and technology scaling are ways to reduce the cost per gigabyte of Flash memo- ries and solid-state drives (SSDs). Unfortunately, this trend has a negative impact on data retention time and cycling endurance. Periodic data refresh allows dealing with a reduced retention time and, implicitly, improves cycling endurance. A fixed data- refresh frequency is not optimal in the presence of a variable operating temperature since it may become unnecessarily large and alter the SSD response latency and energy consumption. Here, a flexible data-refresh methodology is proposed based on timestamps and approximations of the Arrhenius-curves em- ployed to describe the temperature impact on Flash data reten- tion. The proposed approximations can be easily implemented with the help of a processor-based solution or a proposed small module called A-timer. For an asymmetric temperature distri- bution between 30°C and 70°C, it is estimated that the refresh frequency can be reduced by more than 50× and almost 3× for failure mechanisms with activation energies of 1.1eV and 0.3eV, respectively.