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Raster Raster - - based based Streamflow Streamflow Analysis Analysis Richard B. Koehler, Ph.D. Richard B. Koehler, Ph.D. National Weather Service/NOAA National Weather Service/NOAA Boulder, CO Boulder, CO

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  • RasterRaster--based based Streamflow Streamflow

    AnalysisAnalysis

    Richard B. Koehler, Ph.D.Richard B. Koehler, Ph.D.National Weather Service/NOAANational Weather Service/NOAA

    Boulder, COBoulder, CO

  • BackgroundBackground

    Streamflow patterns Streamflow patterns Occur on different timescalesOccur on different timescalesInclude flow volume and timing Include flow volume and timing Show cumulative effect of disturbancesShow cumulative effect of disturbances

    Multiple existing methods (170+ indices)Multiple existing methods (170+ indices)Many correlated or redundantMany correlated or redundantAdequate for volume (composition)Adequate for volume (composition)Weak for timing (configuration)Weak for timing (configuration)

    Large daily datasets existLarge daily datasets exist

  • Study sitesStudy sites

    Snake River at Irwin, IDat Heise, ID

    San Miguel Riverat Placerville, CO

    (CONTROL)

    Colorado Riverat Lees Ferry, AZ

    Palisades Res, WY

  • Year 1984

    Day 329 330 331

    ...1985

    329 330 331

    ...1986

    329 330 331

    1 yr 1 yr

    Year

    1986

    1985

    1984

    Day 329 330 331

    Short-term timescale "i" (daily)

    Long-term timescale

    "j"(yearly)

    Raster gridded time seriesRaster gridded time series

  • Colorado River exampleColorado River exampleColorado River at Lees Ferry, AZ linear hydrographColorado River at Lees Ferry, AZ linear hydrograph

    10

    100

    1000

    10000

    Oct-1921

    Oct-1931

    Oct-1941

    Oct-1951

    Oct-1961

    Oct-1971

    Oct-1981

    Oct-1991

    Oct-2001

    Date

    Flow

    (cm

    s)

    1

    2

    3

    45

  • Colorado River exampleColorado River exampleColorado River at Lees Ferry, AZ raster hydrographColorado River at Lees Ferry, AZ raster hydrograph

    30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    Wat

    erY

    ear

    100

    1000

    Flow (cms)

    2.00

    3.00

    11

    22

    3

    4

    5

  • Autocorrelation Autocorrelation Linear vs. gridLinear vs. grid--based lag schemebased lag scheme

    ∆t = 1 day lag

    Comparison cells

    ∆t = 1 day lag ∆t = 1 year lag ∆t = 1 year and 1 day lag

  • CorrelogramsCorrelograms

    San Pedro River at San Pedro River at Charleston, AZCharleston, AZ

    1936 1936 -- 20012001

    -0.2-0.10.00.10.20.30.40.50.60.70.80.91.0

    0 30 60 90 120 150 180 210 240 270 300 330 360Lag, k (days)

    Cor

    rela

    tion,

    r(k)

    DailyDaily

    YearlyYearly

    0.00.10.20.30.40.50.60.70.80.91.0

    0 1 2 3 4 5 6 7 8 9 10Lag, k (years)

    Cor

    rela

    tion,

    r(k)

  • CorrelogramsCorrelogramsr(ki,kj) =

    var (unshifted cells)covar (shifted cells)

    2

    1

    Year

    ly la

    g (j

    )

    -1

    -2

    -2 -1 0 1 2

    Daily lag (i)

    0

    1r(k)

    0

    1

    Daily Lags

    0

    1r(

    k)

    01

    Yea

    rly L

    ags

    0

  • Artificial flow examplesArtificial flow examplesRandom yearly flowRandom daily flow

    30 60 90 120 150 180 210 240 270 300 330 360

    "Day"

    1900

    1920

    1940

    1960

    1980

    "Yea

    r"

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    "Flow"

    30 60 90 120 150 180 210 240 270 300 330 360

    "Day"

    1900

    1920

    1940

    1960

    1980

    "Yea

    r"

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    "Flow"

    -150 -100 -50 0 50 100 150

    Lag in "days"

    -40

    -20

    0

    20

    40

    Lag

    in "y

    ears

    "

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00Correlation

    -150 -100 -50 0 50 100 150

    Lag in "days"

    -40

    -20

    0

    20

    40

    Lag

    in "y

    ears

    "

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00Correlation

  • Artificial flow examples, part 2Artificial flow examples, part 2Random fluctuating daily flowExactly identical increasing yearly flow

    50 100 150 200 250 300 350

    "Day"

    1900

    1920

    1940

    1960

    1980

    "Yea

    r"

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0"Flow""Flow"

    30 60 90 120 150 180 210 240 270 300 330 360

    "Days"

    1900

    1920

    1940

    1960

    1980

    "Yea

    rs"

    0.10

    0.20

    0.30

    0.40

    0.50

    0.60

    0.70

    0.80

    0.90

    "Flow"

    30 60 90 120 150 180 210 240 270 300 330 360

    "Days"

    1900

    1920

    1940

    1960

    1980

    "Yea

    rs"

    0.10

    0.20

    0.30

    0.40

    0.50

    0.60

    0.70

    0.80

    0.90

    -150 -100 -50 0 50 100 150

    Lag in "days"

    -40

    -20

    0

    20

    40

    Lag

    in "y

    ears

    "

    Correlation

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00

    -150 -100 -50 0 50 100 150

    Lag in "days"

    -40

    -20

    0

    20

    40La

    g in

    "ye

    ars"

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00

    Correlation

  • 30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    1950

    1960

    1970

    1980

    1990

    2000

    Wat

    er Y

    ear

    0. 0

    1. 0

    1

    10

    Flow (cms)

    ResultsResultsSan Miguel River San Miguel River at Placerville, COat Placerville, CO

    Control site for Control site for Upper Colorado Upper Colorado River Basin

    Raster hydrographRaster hydrographRiver Basin

    Grid correlogramGrid correlogram

    -150 -100 -50 0 50 100 150

    Lag in days

    -30

    -20

    -10

    0

    10

    20

    30La

    g in

    yea

    rs

    -0 .25

    0.00

    0.25

    0.50

    0.75

    1.00

    Correlation

  • 1000

    10000

    100000

    30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    196019651970197519801985199019952000

    Wat

    er Y

    ear

    3.00

    3.50

    4.00

    4.50

    Flow (cms)

    ResultsResults

    Palisades Palisades ReservoirReservoir

    End of month End of month storage converted storage converted to streamflow

    Raster hydrographRaster hydrographto streamflow

    Grid correlogramGrid correlogram

    -150 -100 -50 0 50 100 150

    Lag in days

    -20

    -10

    0

    10

    20La

    g in

    yea

    rs

    -0 .25

    0.00

    0.25

    0.50

    0.75

    1.00

    Correlation

  • 10

    100

    1000

    30 60 90 120 150 180 210 240 270 300 330 360Day of Water Year

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    Wat

    er Y

    ear

    Flow (cms)

    Raster hydrographRaster hydrograph

    ResultsResultsSnake River at Snake River at Heise, IDHeise, ID

    Downstream from Downstream from Palisades ReservoirPalisades Reservoir

    -150 -100 -50 0 50 100 150

    Lag in days

    -20

    -10

    0

    10

    20

    Lag

    in y

    ears

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00

    Correlation

    (1960 through 2000)(1960 through 2000)

    -150 -100 -50 0 50 100 150

    Lag in Days

    -20

    -10

    0

    10

    20

    Lag

    in y

    ears

    Correlation

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00

    (1911 through 1951)(1911 through 1951) Grid correlogramsGrid correlograms

  • 10

    100

    1000

    30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    1960

    1970

    1980

    1990

    2000

    Wat

    er Y

    ear

    1

    2

    3

    Flow (cms)

    -150 -100 -50 0 50 100 150

    Lag in days

    -20

    -10

    0

    10

    20

    Lag

    in y

    ears

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00

    Correlation

    Raster hydrographRaster hydrographGrid correlogramGrid correlogram

    ResultsResults

    Snake River at Snake River at Irwin, IDIrwin, ID

    1956 1956 -- 20022002

    Observed Observed hydrograph and hydrograph and gird correlogramgird correlogram

  • 30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    196019651970197519801985199019952000

    Wat

    er Y

    ear

    3.00

    4.00 10000

    1000

    Flow (cms)

    ResultsResults

    Snake River at Snake River at Irwin, IDIrwin, ID

    1956 1956 -- 20022002

    Adjusted Adjusted hydrograph and hydrograph and gird correlogram

    Raster hydrographRaster hydrograph

    Grid correlogramGrid correlogramgird correlogram

    -150 -100 -50 0 50 100 150

    Lag in days

    -20

    -10

    0

    10

    20

    Lag

    in y

    ears

    Correlation

    -0.25

    0.00

    0.25

    0.50

    0.75

    1.00

  • 30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    Wat

    erY

    ear

    100

    1000

    Flow (cms)

    2.00

    3.00

    30 60 90 120 150 180 210 240 270 300 330 360

    Day of Water Year

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    Wat

    erY

    ear

    100

    1000

    Flow (cms)

    2.00

    3.00ResultsResultsColorado River at Colorado River at Lees Ferry, AZLees Ferry, AZ

    Downstream from Downstream from Glen Canyon Dam Raster hydrographRaster hydrographGlen Canyon Dam

    (1930 (1930 -- 1960)1960) (1970 (1970 -- 2000)2000)Grid correlogramsGrid correlograms

    -150 -100 -50 0 50 100 150

    Lag in days

    -10

    0

    10La

    g in

    yea

    rs

    Correlation

    -0.250.00

    0.250.500.751.00

    -150 -100 -50 0 50 100 150

    Lag in days

    -10

    0

    10

    Lag

    in y

    ears

    -0.250.000.250.500.751.00

    Correlation

  • Climate applicationsClimate applicationsTemporal and spatial analysisTemporal and spatial analysis

    WY 3

    CO 2

    UT 6

    UT 7

    NM 1

    NM 4

    AZ 2

    AZ 3AZ 4

    1895

    2002

  • Climate applicationsClimate applications

    6 12

    NM 4

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    NM 1

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    AZ 4

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    AZ 3

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    Month of Cal Year

    AZ 2

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    UT 6

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    UT 7

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    CO 2

    1900

    2000

    6 12

    WY 3

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    -8-6-4-202468

    PHDI

    Wet

    Dry

    972 years of monthly values

    Cal

    enda

    r Yea

    r

  • Other applicationsOther applications

    6 12

    UT 6

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12

    UT 7

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    6 12Month of Cal Year

    CO 2

    1900

    2000

    6 12

    WY 3

    1900

    1910

    1920

    1930

    1940

    1950

    1960

    1970

    1980

    1990

    2000

    100 200 300Day of

    Cal Year

    Colorado River at Lees Ferry, AZ

    100,000

    10,000

    1,000

    Flow (cfs)

    -8-7-6-5-4-3-2-1012345678

    PDSI

    Cal

    enda

    r Yea

    r

    Scales

  • SummarySummaryRasterRaster--based approachbased approach

    Greater visualizationGreater visualizationRaster hydrographRaster hydrograph

    Analyze temporal streamflow changeAnalyze temporal streamflow changeGrid correlogramGrid correlogram

    Verify if calibration dataset is more Verify if calibration dataset is more ““naturalnatural””New approach to identify temporal variabilityNew approach to identify temporal variabilityEnhance and replicate streamflow conditionsEnhance and replicate streamflow conditions

    Raster-based Streamflow Analysis BackgroundStudy sitesRaster gridded time seriesColorado River exampleColorado River exampleAutocorrelationCorrelogramsCorrelogramsArtificial flow examplesArtificial flow examples, part 2ResultsResultsResultsResultsResultsResultsClimate applicationsClimate applicationsOther applicationsSummary