GEOG 441 Watershed Systems Precipitation Monday 1/26/2009.

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Presentation transcript:

GEOG 441 Watershed Systems Precipitation Monday 1/26/2009

Precipitation Characteristics –Spatial –Temporal Frequency Analysis

Precipitation Units- Volume (L 3 ) or Depth/Time (L/T) Input in the mass balance Continuous random variable

Spatial Characteristics Point measurements

Spatial Characteristics Radar

Spatial Characteristics Hyetographs

Temporal Characteristics Intensity –Rate of precip over some period of time Duration Frequency

Review Histograms Normal distributions Extreme value distributions Cumulative Distributions An example with UNC graduate salaries

Review Normal distributions mean Std dev

Annual Rainfall Assumes data follows normal distribution Typically works for annual precipitation data

Annual Precip Trends

Annual Rainfall Histograms and Cumulative Distributions

Different distributions required for shorter time periods

Exceedance Probabilities [dimensionless], the relative frequency associated with a random variable attaining a value greater than some specified value. For example- calculate probability that annual precipitation in any given year will exceed 1.0 m

Exceedance Probabilities

Exceedance Probability 1.Normalize data to a z value 2.Find cumulative probability for a given value (Table A3.2)

Annual Maxima Takes the highest value for the entire year

Partial Duration All values above a certain base Closely related to annual values for long return periods Could be more (frequent) or less (infrequent) values than annual maxima for a given threshold

Partial Duration Series – RDU Airport

Precipitation Frequency Examples from AZ and NC

Return Period What is the probability of a storm of X magnitude this year? Inverse of exceedance probability T return = (n+1)/m n= # of years of observation m= rank

Return Period- Washington, DC Data from Table 2.1 plotted