Climate field reconstructions (CFRs) estimate spatiotemporal climate conditions hundreds to thousands of years into the past. Assessing CFR skills is critical for improving their interpretation and ultimately for deriving better CFR estimates. We apply new methods for assessing spatiotemporal skill using formalized null hypotheses to derive a detailed assessment of why CFR skill varies across multiple methods, with implications for improving future CFR estimates.