Based on an extreme snowstorm event, ten stations within the main snowfall area were selected. By integrating meteorological observation records, minute-level precipitation data from weighing precipitation gauges, and precipitation particle spectrum data from the DSG5 precipitation weather phenomenon instrument (hereinafter referred to as DSG5), the adaptability of weighing precipitation gauges and the DSG5 to heavy snow conditions was analyzed. Issues in their application for snowstorm detection were examined, and potential improvements were proposed. The results indicate that: (1) During the snowstorm, the hourly snow depth increments from intensive observations did not align well with the hourly precipitation measured by the weighing precipitation gauges. (2) During intense snowfall periods, snow easily adhered to the inner wall of the weighing precipitation gauge collector and subsequently collapsed, compromising the timeliness and accuracy of precipitation measurements. Heavy snowfall also adversely affected the DSG5, in severe cases leading to interruptions in particle spectrum data and compromising data integrity. (3) When temperatures were slightly below 0°C and relative humidity was high, snow tended to adhere to the inner wall of the weighing precipitation gauge collector, causing significant delays in precipitation observations. To address this, an active heating device could be installed on the inner wall of the collector. (4) The proportion of instances where both the weighing precipitation gauge and the DSG5 were simultaneously affected by the snowstorm was relatively small. By synergistically analyzing minute-level precipitation data from the weighing precipitation gauge and particle spectrum data from the DSG5, the limitations of individual observation devices can be effectively mitigated, allowing for a more detailed understanding of the snowfall process.