Title: Generating Quantitative Precipitation Forecasts for River Modeling
1GeneratingQuantitative Precipitation Forecasts
for River Modeling
- Mike Ekern, Sr. HAS Forecaster
- NOAA, National Weather Service
- California Nevada River Forecast Center
2Definitions
QPF the total amount of expected liquid
precipitation (in hundredths of inches) in a
future specified time period Snow Levels the
elevation above which frozen precipitation occurs
and does not contribute immediately to runoff.
3Operational Flood Forecasting
NWSRFS SAC-SMA SNOW-17
4NWSRFS Forecast Inputs
Forecast Inputs
H A S
Precip (QPF) Temperature Snow Levels
- QPF
- Single FMAP (Forecast Mean Areal Precipitation)
per basin or sub-basin (some basins are
subdivided into lower, middle, and upper) - 6 hour time steps NWSRFS assumes a uniform
areal and temporal distribution of rainfall - 0-72 hours HAS Forecaster
- 72-120 hours Rhea Orographic QPF Aid
- Typically ranges from zero to 3 inches in a
6-hour period - Snow Levels
- Input is the average of the instantaneous snow
level values at the beginning and end of the
6-hour period. - Snow Level Model Freezing Level 1,000 feet
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6Influence of Terrain on Precipitation
Annual Precipitation
Topography
7Mountain Mapper Software
- Graphical suite of software developed at the
CBRFC (Salt Lake City) - Specify (QPF) - uses PRISM monthly climatology
to distribute point QPF data to a 4km grid using
inverse distance squared weighting - DailyQC (QPE) uses PRISM monthly
climatological to quality control observed
precipitation. - Verify (QPF QPE)
- Currently used by 3 western RFCs
8Mountain Mapper Concept
PRISM
9Mountain Mapper Concepts
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11Mean Areal Precipitation
12Forecasting Methodolgy
- 0-12 Hours
- Rain gage and weather observations
- WSR-88D Radar coverage and movement
- Satellite trends
- Forecaster skill/experience
- Numerical weather prediction models
- 12-72 Hours or more
- Numerical weather prediction models
- Pattern recognition
- Ensemble prediction
13Numerical Weather Prediction
14QPF Process Sequence
National QPF Hydrometeorological Prediction
Center
HPC
QPF data are converted from contours to point
data using bilinear interpolation and sent to
RFCs.
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24Strengths/Weaknesses
- Strengths
- Simplifies QPF in complex terrain
- Easily converts from gridded QPF to FMAP for
NWSRFS - Similar technique used to QC observed
precipitation - Weaknesses
- Short duration QPF does not exhibit monthly PRISM
distributions - Careful selection of QPF points is required
generally mid-high elevation sites work best
25Snow Levels
Effectively reduces the size of the basin that
contributes to runoff
26NWSRFS Sensitivity to Melt LevelsMid-winter soil
moisture conditions
2780
NWSRFS Sensitivity to changes in snow levels
70
60
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28Rhea Orographic Aid
- Objective tool
- Outputs 6-hour orographic QPF
- Input - NCEP gridded datasets from AWIPS
- Eta
- GFS
- Performed well during large-scale rain events in
California (1986, 1997) - Mesoscale resolution
Sample output... lt SHASTA ABOVE SHASTA DAM -
SHDC1 gt
STRDA BEG-END QPF SLVL FRZGLVL 700DIR 6
19 16-22 .00 35 5.1 253-299
WINDRH WK SSE-NNW PRDIF 12 19 22- 4
.04 28 4.3 299-257 WINDRH WK SSE-NNW
PRDIF 18 20 4-10 .13 26 4.1
257-228 RH ONLY NORMAL PGRAD 24 20
10-16 .17 27 4.3 228-210 RH ONLY
NORMAL PGRAD 30 20 16-22 .09 28
4.4 210-109 WINDRH WK SSE-NNW PRDIF 36
20 22- 4 .00 30 4.6 109- 49 WINDRH
WK SSE-NNW PRDIF MODIFIED TOTS 04-04 .38
MOD-FAC .85 700mbWD gt344 or lt155 DEG 42
21 4-10 .00 38 5.4 49- 15
WINDRH WK SSE-NNW PRDIF 48 21 10-16
.00 51 6.6 15- 14 WINDRH WK SSE-NNW
PRDIF 54 21 16-22 .00 57 7.3
14- 7 WINDRH WK SSE-NNW PRDIF 60 21 22-
4 .00 56 7.1 7-303 WINDRH WK
SSE-NNW PRDIF MODIFIED TOTS 04-04 .00
MOD-FAC .85 700mbWD gt344 or lt155 DEG
29Rhea Orographic Aid Basins
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