Lecture 4-Precipitation 2 Flashcards
Precipitation measurements
- accurate measurement of precipitation is an essential foundation for quantitative hydrological analysis
- precipitation is difficult to measure accurately
- temporal/spatial variation larger than other hydrological system components (not precipitation all day every day, rain distribution is uneven so the location we take a measurement from makes a difference)
Precipitation: what we need to measure
- amount
- duration
- intensity = amount/duration
Accuracy issues
- how accurate are point measurements?
- position, types of measurement, frequency of measuring
Methods of measurement
- non-recording storage gauge (home gardens)
- tipping bucked rain gauge
- optical rain gauge
- rapid response drop counting rain gauge
- weighing bucket (snow)
Tipping bucket
- ‘seesaw’ calibrated to a certain amount (0.5mm), counts number of ticks back and forth for each 0.5mm
- good when recording every few minutes
- also good for medium amount of rainfall (otherwise could loose small amounts, or may not keep up with large events)
- not good with snow/frosts
Knowing measurement method used
- need to know so can understand what errors would be likely
- and for comparing to historic data if methods have changed over time
Point measurement issues:
- wind turbulence (rain not making into bucket)
- undercatch
- steep terrain (wind blowing down hill, not representative measurement depending on location)
- forest canopy (trees impeding precip)
- extreme events (measurement method can’t keep up)
How to address measurement issues:
1. gauge design
-orifice should be at least 30mm diameter
resolution = 0.1mm for tipping bucket
How to address measurement issues:
2. wind effects vs. runoff
- typically 2m above ground to avoid capturing runoff
- or set level with ground to avoid wind
How to address measurement issues:
3. evaporation
- closed vessel
- non-volatile immiscible oil or anti-freeze (cold environments)
How to address measurement issues:
4. placement
-away from obstructions (trees)
How to address measurement issues:
5. representative locations / missing data
- selecting the most representative station locations
- times when station is not working and data is missing, think about how your station is related to others to fill in gaps
Rainfall statistics
- average rainfall over an area
- frequency of intensities
- frequency of intense storms
- calculate probable max precipitation
Areal measurement
- array of rain gauges
- remote sensing (rain radar)
Catchment mean areal rainfall accuracy
- number of gauges
- time interval
- size of area