Lecture 4-Precipitation 2 Flashcards

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1
Q

Precipitation measurements

A
  • 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)
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2
Q

Precipitation: what we need to measure

A
  • amount
  • duration
  • intensity = amount/duration
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3
Q

Accuracy issues

A
  • how accurate are point measurements?

- position, types of measurement, frequency of measuring

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4
Q

Methods of measurement

A
  • non-recording storage gauge (home gardens)
  • tipping bucked rain gauge
  • optical rain gauge
  • rapid response drop counting rain gauge
  • weighing bucket (snow)
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5
Q

Tipping bucket

A
  • ‘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
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6
Q

Knowing measurement method used

A
  • need to know so can understand what errors would be likely

- and for comparing to historic data if methods have changed over time

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7
Q

Point measurement issues:

A
  • 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)
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8
Q

How to address measurement issues:

1. gauge design

A

-orifice should be at least 30mm diameter

resolution = 0.1mm for tipping bucket

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9
Q

How to address measurement issues:

2. wind effects vs. runoff

A
  • typically 2m above ground to avoid capturing runoff

- or set level with ground to avoid wind

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10
Q

How to address measurement issues:

3. evaporation

A
  • closed vessel

- non-volatile immiscible oil or anti-freeze (cold environments)

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11
Q

How to address measurement issues:

4. placement

A

-away from obstructions (trees)

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12
Q

How to address measurement issues:

5. representative locations / missing data

A
  • 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
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13
Q

Rainfall statistics

A
  • average rainfall over an area
  • frequency of intensities
  • frequency of intense storms
  • calculate probable max precipitation
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14
Q

Areal measurement

A
  • array of rain gauges

- remote sensing (rain radar)

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15
Q

Catchment mean areal rainfall accuracy

A
  • number of gauges
  • time interval
  • size of area
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16
Q

Catchment mean areal rainfall techniques

A
  • arithmetic average
  • create polygons (Theissen)
  • create contours (Isohyetal)
17
Q

Arithmetic average method

A

-average from table values

18
Q

Theissen polygons (nearest neighbour) method

A
  • finish polygons
  • count squares (weighting)
  • multiply weight by each gauge catch
  • total = average areal rainfall
19
Q

Isohyetal method

A
  • count squares in each elevation band (weighting)
  • multiply by band midpoint
  • total = average areal rainfall
20
Q

Theissen polygon / nearest neighbour concept

A

Gives weights based on how much area each station represents, larger area will have more weight
-issue: sharp steps, based on area which might not be the best means of weighting importance