Title: Precipitation The beginning of the hydrologic problem Just
1Precipitation
- The beginning of the hydrologic problem
- Just as a watershed accepts precipitation as the
beginning of its terrestrial cycle,
hydrologists work with precipitation data at the
beginning of analysis - Classic problem Where does the rain go?
- Current research focuses on
- Measurement techniques
- Assessing spatial and temporal variability
- Very little recent work on process in hydrologic
literature
2Precipitation
- The starting point for water resource analysis
- How much snow is in the foothills?
- What is the magnitude and intensity of rainfall
that produces the 100 yr flood?
3Precipitation
- Our approach
- Formation of precipitation
- Appendix D 586-592, Chapter 4 pp 94-105
- Basic concepts
- Adiabatic cooling
- Mechanisms of uplift
- Atmospheric stabity
- Measurement and data analysis, Chapter 4 105-140
- Point measurement techniques
- Spatial variability and mean areal precipitation
- Temporal variability and probability
- Global distribution on your own
- Climatology on your own
4Formation of Precipitation
- Vapor to Liquid Transformation
- Moisture laden air must lower T, increase P, or
reduce V
PV nRT Or K PV/T
5Formation of Precipitation
- 4 steps to form precipitation
- Air must cool to Dew Point
- Condensation nuclei must be present
- Droplets must grow
- Continuous import of vapor
6Formation of Precipitation
- Cool to Dew Point
- Absolute Humidity (Vapor density) ??
- Mass concentration of water vapor in a volume of
air - Vapor Pressure e
- Partial pressure of water in atmosphere
7Formation of Precipitation
- Cool to Dew Point
- Saturation Vapor Pressure e
- Maximum vapor pressure that is thermodynamically
stable (??) - What happens to e as the temperature of an air
mass drops? - What happens when e e
8Formation of Precipitation
- Cool to Dew Point
- Temperature at which e e
- Relative Humidity Wa
- Wa e/e
- What happens to Wa as temperature drops?
- What happens to e as the temperature drops?
- What is Wa at the dew point?
9Formation of Precipitation
- Cool to Dew Point
- Relative Humidity
- Calculate vapor pressure if relative humidy is
36 and Ta is 15 C - Relative humidity given Ta 5C and vapor
pressure 0.6 kPa - Dewpoint temperature if Ta 20C and Wa 52.4
10Formation of Precipitation
- 2. Condensation nuclei
- Fig D-7
- Water can not condense on itself except in very
cold temperatures - Basis behind cloud seeding
- http//www.hcountryrcd.org/cloud20seeding.htm
- http//www.usnews.com/science/articles/2009/11/19/
modifying-weather-cloud-seeding-has-some-new-belie
vers.html
11Formation of Precipitation
- 3. Droplets must grow
- Clouds are composed of water droplets too small
to fall and survive evaporation - Mostly ice in our lattitude
- Growth by
- Collision
- Vapor migration
- 4. Importation of water vapor
- A large cumulonimbus cloud would raing about 0.5
cm onto the area it covers
12Formation of Precipitation
- 4 steps to form precipitation
- Air mass must cool to Dew Point
- Condensation nuclei must be present
- Droplets must grow
- Continuous import of vapor
13Whats an Air Mass
- A mass of air that contains relatively
homogeneous temperature and density properties - Size ranges from small convective masses to
continental fronts
14How does an air mass cool?
- Radiation to a cooler surrounding
- Conduction to a cool surface
- Mixing with cold air
- Adiabatic cooling by horizontal movement
- Adiabatic cooling by vertical uplift
15Cooling an air mass
- Radiation, conduction, mixing, horizontal
movement may form dew and fog
16Cooling of an Air Mass
- 5. Adiabatic cooling by vertical uplift is the
only significant cooling mechanism for
precipitation - Adiabatic
- change in temperature without external forcings
(no addition or removal of heat) - Heating or cooling of a gas from pressure changes
- See figure D-6
17Cooling an Airmass
- Adiabatic Lapse Rate
- Dry ALR occurs without condenstation and is
constant at -1 c/100 m - Wet ALR occurs during condensation is variable
- More or less cooling?
18Nest of lists
- Steps to form precipitation
- Air mass must cool to Dew Point
- Adiabatic cooling by uplift
- Uplift by
- Convergence of fronts
- Convection
- Orographic effects
19Lifting an Airmass
- Convergence of Fronts (boundaries between air
masses) - Air masses move to low pressure zones, or zones
of convergence
- Air masses with different properties collide
- Cause extratropical cyclones
- Our main source of precip
20Lifting an Airmass
- Frontal convergence
- Cold Front
- Rapidly moving COLD mass collides with warm mass
- Steep snout rapid uplift
21Lifting an Airmass
- Frontal convergence
- Warm Front
- Slow moving WARM mass collides with cold mass
- Rises of over gentle tail of cold mass - slow
uplift
22Lifting an Airmass
- 2. Convection
- Solar radiation heats surface rapid uplift
23Lifting an Airmass
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25Atmospheric Stability
- Previous discussions assume that air masses CAN
be lifted - Atmospheric Stability A property of the
atmosphere that promotes or inhibits vertical
motion - Stable vertical motions are suppressed
- Unstable vertical motions are promoted
- Depends or relationship between adiabatic lapse
rate and ENVIRONMENTAL lapse rate
26Lapse Rates
- Environmental LR is the actual vertical
temperature distribution in atmosphere - Hold your hand out the window going up Bogus
Basin Road - Adiabatic LR is what happens inside a parcel of
rising air - Hold a balloon out the window
27Stable or Unstable
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30Calculation
- Suppose a parcel of air initially at z 0, T 6
C, and W 56 is forced over a mountain with an
elevation of z 1600 m. - What is the temp and Wa of the parcel of air at
1600 m?
31Precipitation Measurement
- Hydrologists generally want to know
- How much (L)
- How long (t)
- Intensity (L/t)
- Where?
- Rain or Snow?
- Probability
32Precipitation Measurement
- Data Sources
- Several different agencies
- For real-time and forecasts
- National Weather Service
- http//www.nws.noaa.gov/
- What do Radar and Satellite data tell us?
- Data Archives
- http//www.wrcc.dri.edu/
- http//mesowest.utah.edu/index.html
33Precipitation Measurement
- Conventional data collected from Bucket Gauges
34Raw Precipitation Data
Discrete
Cumulative
35Precipitation Measurement
- Data Quality Issues
- How accurate are the point measurements?
- How do point measurements relate to larger areas?
- Spatial Variability
- How do instantaneous measurements relate to
longer timescales - Temporal Variability
36Precipitation Measurement
- What errors might you expect at the point of
measurement?
37Precipitation
38Spatial Distribution
- How do we estimate the spatial average
39Spatial Distribution
963 mm 77 Snow
Precipitation (mm)
335 mm 32 Snow
Rain
Snow
2008 Water Year
40Spatial Variability in Iowa
https//www.crops.org/publications/cs/articles/48/
4/1545
41Spatial Averaging
- How do we estimate the total precipitation over a
large area with few gages?
42Spatial Average Methods
- How do we weight the importance of individual
gages? - Weighted Average
- Direct Average
- Theissen Polygon
- Surface Fitting
- Isohytetal
- Hypsometric
43Direct Average
-All gauges receive equal weight
44Theissen Polygon
- Weights are assigned by proximity to other
stations - agarea represented by gage g, A total area
45Spatial Average Methods
- Theissen Polygon
- Accounts for uneven distribution of gages
46Spatial Average Methods
- Surface Fitting Methods
- Contoured surface of spatially distributed
precipitation - Isohyetal methods
- Eyeball method
- Kriging
- Weights are assigned using precip data rather
than station proximity
47Isohyetal Method
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7
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Gauges are replaced by isohyetal
zones Precipitation in a zone is determined by
average of bounding contours
48Spatial Average Methods
- Hypsometric method
- Useful when topography has a significant effect
on precipitation - How much area is in any given elevation band?
49Hypsometric Method
P145047 cm
A1400-1500/A 0.13
Gauges are replace by elevation
zones Precipitation in an elevation zone is
determined from P-Z relationship
50Spatial Average Methods
- How do we measure representative areas?
- Geographic Information System
- Grid paper
51Temporal Variability
- Hydrologists are often asked to predict the
response to design storms, or storms that have
a certain probability of occurrence - How will a river react to a 100-yr storm?
- What does a 100 yr storm mean?
- Lets review some probability concepts
52Basic Probability Concepts
- Probability
- Statistics
- Sample
- Population
- Independent
- Probability Function
- Probability Density Function
- Probability Models
53Basic Probability Concepts
- Discrete Probability
- What is the probability of rolling any given
number on a die? - Plot the probability function (eqn c4 and c5)
54Continuous Probabilities
- What is the probability that the total annual
precipitation at a site is 300 mm? - Requires continuous probability, or the
probability that a variable is greater or less
than a value - PDFs and CDFs are use to estimate probabilities
of continuous random variables
55Frequency Analysis
- The values of annual precipitation in College
Station, Texas, from 1911 to 1979 are shown in
the attached excel file. - What is the probability that the annual
precipitation R in any year will be less than 35
in? - Calculate Exceedence Probabilities for each value
- EPx(X)Pr(Xgtx)
- Pr(Xgtx) 1-Fx(x)
- How do we calculate Fx(x)?
- What is the return period of a total annual
precipitation exceeding 45? - T 1/EP
56Frequency Analysis
- For College Station, what is the value of the
total annual rainfall with a return period of - 2 years
- 25 years
- 50 years
- 100 years
- How do we estimate storm magnitudes with return
periods greater than the length of our sample?
57Frequency Analysis
- In the previous example we interrogated the
sample to answer questions about the population. - What do we do when we want to estimate extreme
values outside the sample?
58Frequency Models
- Fit a probability distribution model of the
population to the sample -
- Use statistics of sample (mean, standard
deviation) to build a model of the population - See table C-1, page 554
- Can use model of population, rather than sample,
to extend the tails, or estimate extremes.
59Example Frequency Model The Normal Distribution
- Estimate the 100 yr annual P assuming that the
population is normally distributed - Fit Normal Distribution equation (C36) to the
sample - Calculate Z for each value
- C38
- Equation C36 is a model of the underlying
population that we drape over the sample - Graphically estimate 100 yr magnitude by
plotting the model Normal CDF model - OR, obtain Z for the probability of interest,
calculate X.
60Normal Distribution
- Commonly applied to the Z standard variate
- Z (X-Xave)/stdev
- Mean 0, STDEV 1
- f(x-STDEV) 0.16
- f(xSTDEV) 0.84
61Depth Duration Frequency Curves
- In the previous example, we considered annual
total P - We can do the same for storms of specific
durations - Depth-Duration-Frequency Curves
- Describes the probability that a storm of a given
depth and duration will occur in a year - http//www.wrcc.dri.edu/CLIMATEDATA.html