Sensitivity to ultra-high-energy neutrinos (E > 17 eV) can
be obtained cost-efficiently by exploiting the Askaryan effect in
ice, where a particle cascade induced by the neutrino interaction
produces coherent radio emission that can be picked up by
antennas. As the near-surface ice properties change rapidly within
the upper 𝒪(100 m), a good understanding of the
ice properties is required to reconstruct the neutrino
properties. In particular, continuous monitoring of the snow
accumulation (which changes the depth of the antennas) and the
index-of-refraction n(z) profile are crucial for an accurate
determination of the neutrino's direction and energy. We present an
in-situ calibration system that extends the radio detector station
with two radio emitters to continuously monitor the firn properties
within the upper 40 m by measuring the time differences between
direct and reflected (off the surface) signals (D'n'R). We determine
the optimal positions of two transmitters at all three sites of
current and future in-ice radio detectors: Greenland, Moore's Bay,
and the South Pole. For the South Pole we find that the snow
accumulation Δh can be measured with a resolution of 3 mm
and the parameters of an exponential n(z) profile α and
z
0 with 0.04% and 0.14% precision respectively, which
constitutes an improvement of more than a factor of 10 as compared
to the inference of the n(z) profile from density measurements.
Additionally, as this technique is based on the measurement of the
signal propagation times we are not bound to the conversion of
density to index-of-refraction. We quantify the impact of these ice
uncertainties on the reconstruction of the neutrino vertex,
direction, and energy and find that the calibration device measures
the ice properties to sufficient precision to have negligible
influence.