Where weather data falls short: a craftsman’s plain account
Limitations
May 30, 2026
by Mason Cartwright
Every approach to weather data, new or old, comes with its share of omissions and oversights. The task is to recognize them early and factor them into any practical decision.
1992
Learning the reality of missing data
Long ago, I learned that every weather record—no matter how detailed—misses something. A station might freeze up at the worst moment, or a notebook page turns up blank. The first lesson is simple: no data set is complete.
2008
Modern technology still leaves gaps
A new automated system promised full coverage, but it still left blind spots. Storms rolled through when sensors were offline, or local variation slipped past the grid. Each improvement in technology brought different gaps to account for.
2015
Manual observation fills gaps—sometimes
After years of comparing manual and automated logs, I noticed that some weather events only appeared in local memory, never in the official records. Those who walked the field caught details the network never did, and vice versa.
2026
Practicing honest skepticism before acting
Now, with decades behind me, I start each analysis by asking what’s missing and who might have missed it. This habit keeps me grounded, no matter how advanced the tools become. Every record—automated or manual—needs scrutiny before being trusted too much.