27 Jun HUMIDITY AND PRECIPITATION LABORATORY
Question
HUMIDITY AND PRECIPITATION LABORATORY
1. Objectives
The objectives of this lab are to familiarize you with a few of the ways in which two common
meteorological variables (humidity and precipitation amount) are measured, and to assess the errors
implicit in the measurements.
2. Humidity
2.1: Home weather stations have relatively accurate capacitance humidity sensors. However, to a
meteorologist these are of limited utility because they can only give the indoor relative humidity (RH).
Nevertheless, by assuming that the mixing ratio is the same both inside and outside of the building, and
by measuring the RH inside and the temperatures (T) outside and inside, we can use the inside RH to
estimate the outside RH. Part of the lab will be to assess the validity of this assumption.
2.2: Specific tasks
• Compare the RHs of room air from the Vaisala Humicaps and the psychrometers. Take repeat
readings to assess reproducibility.
• Calibrate the Vaisala against the four saturated salt solutions.
• Test the hypothesis of conservation of water vapor by measuring the RH and T inside, with the
Vaisala, and then measuring the outside RH and T with the Vaisala.
3. Precipitation
The Davis gauge is designed to measure increments of 0.01 inches of rainfall. It would therefore be wise
to work in inches in this case and convert to millimeters in your analysis because the digitization works
better on the Davis using inches.
3.1: Calibrate a Davis tipping bucket rain gauge by determining the volume that each bucket of the gauge
holds. You can do this by using a pipette apparatus and slowly pouring a certain amount of water into
each bucket until it tips. Try at least 3 trials in each of the two buckets so that you can calculate simple
statistics. Also measure the diameter of the collection funnel for use in later calculations.
3.2 For the Davis tipping bucket gauge, determine the relationship between the true and measured (Davis)
rain rate, and to determine whether the measurement error changes with rain rate. Do this by pouring
measured volumes of water per unit time, using the buret, into the gauge. Use at least four different
pouring rates. Make sure to record the measured volume and the amount indicated on the Davis. The
lowest rate should be equivalent to ~10 mm hr-1 and the rates should be separated by at least a factor of
two. Without making a mess, try pouring in a measured amount of rain using a graduated beaker to
simulate rain at a very high rate to determine if the Davis gauge would see a tropical downpour.
1Humidity and Precipitation Lab Worksheet
Complete the following activities and turn your results as though you would a typical problem
set (i.e. no formal write-up required).
1) Capacitance Humidity (Vaisala) vs Psychrometer: Provide the mean and standard
deviation of your RH measurements using the Vaisala and the psychrometer. Are RH
values measured by each significantly different?
2) Calibration of the Vaisala RH Probes vs Salt Solutions: Produce a well-labeled
calibration figure, a linear regression, and total uncertainty in the Vaisala RH
measurements based on the results of that regression of calibration data. Comment on the
time response of the sensor.
3) Conservation of Water Vapor Test: Compare the measured outside RH with that
estimated from the inside measurements assuming conservation of mixing ratio. Is there a
bias? Give some reasoning for a bias if one is observed. In other words, what might cause
the assumption of constant water vapor concentration inside and outside to be invalid?
4) Tipping Bucket Volume Determinations: From 3.1 of the lab procedure, you can
calculate the mean and standard deviation of your bucket volumes. Assuming a normal
distribution, a value within three standard deviations has almost 100% probability of
occurrence. Using this information, deduce the lowest amount of rain (in millimeters)
measurable for each bucket of the Davis rain gauge.
5) Error in the Davis Tipping Bucket Gauge as a Function of Rain Rate: Convert the
volume of water that you measured in a given time into equivalent millimeters per hour
using knowledge of the collection area of the funnel. Use a linear regression to determine
the functional relationship between rain rate and observed rate from the Davis. Produce a
well-labeled calibration figure along with the linear regression and uncertainty analysis
results.
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