comparisons of simulation results using the nws hydrology laboratory's research modeling...

Comparisons of Simulation Results Using the NWS Comparisons of Simulation Results Using the NWS Hydrology Laboratory's Research Modeling SystemHydrology Laboratory's Research Modeling System

(HL-RMS)(HL-RMS)

Hydrology LaboratoryHydrology LaboratoryOffice of Hydrologic DevelopmentOffice of Hydrologic DevelopmentNational Weather Service/NOAANational Weather Service/NOAA

Ziya Zhang, Victor Koren, Ziya Zhang, Victor Koren, Seann Reed, Michael Smith, and David WangSeann Reed, Michael Smith, and David Wang

HYDROLOGY LABORATORY, OHD/NWS/NOAAHYDROLOGY LABORATORY, OHD/NWS/NOAA


What is HL-RMS?What is HL-RMS?

A Research Modeling System being developed

by researchers in the Hydrology Laboratory,

Office of Hydrologic Development, NWS/NOAA.

Modeling framework for testing lumped, semi-

distributed, and fully-distributed hydrologic

modeling approaches.


HL-RMS ComponentsHL-RMS Components

Pre-simulation:

Determines connectivity matrix

Derives SAC parameters

Derives routing parameters

Simulation:

Simulates rainfall/runoff for each grid (SAC, ...)

Conducts hillslope and channel routing

Computes hydrographs


HL-RMS CapabilitiesHL-RMS Capabilities

Ingests NEXRAD Stage III xmrg data

Uses lumped or distributed model parameters

Uses lumped or distributed precipitation

Computes hydrographs at any interior points

Selection between lumped, semi-distributed, and

fully distributed modes


HL-RMS CapabilitiesHL-RMS Capabilities cont.

Output Arc/Info grids for selected variables

Flexible to modify gridded parameters

Modular design to test other models

Computational element: NEXRAD 4km HRAP grid


Test BasinTest Basin

Blue River Basin

Oklahoma

Missouri

Kansas

Arkansas

Texas

Area: Area: 12331233 km km22Area: Area: 12331233 km km22

Blue River Basin, OKBlue River Basin, OK


Test RunsTest Runs

Lumped parameters from manual calibration, lumped forcing

Distributed parameters, distributed forcing

Scaled distributed parameters, distributed forcing

Continuous Simulation from 1993 to 2000Continuous Simulation from 1993 to 2000

Scale factor was based on comparing a calibrated value of a basin to an averaged value of gridded values of that basin


Samples of Gridded ParametersSamples of Gridded Parameters


Test ResultsTest Results Distributed Channel RunoffDistributed Channel Runoff

Channel Runoff (cms)Channel Runoff (cms)November 7, 1996 22:00

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November 7, 1996 7:00 - 8:00November 7, 1996 7:00 - 8:00

Test ResultsTest Results Rainfall & Surface RunoffRainfall & Surface Runoff


Test ResultsTest Results Hydrographs @ Interior PointsHydrographs @ Interior Points

BasinOutlet

A

B

C


BasinOutlet

A

B

C

Test ResultsTest Results Hydrographs @ Interior PointsHydrographs @ Interior Points


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Total Precipitation (mm)An Event in 1994An Event in 1994An Event in 1994An Event in 1994

Test ResultsTest Results Hydrograph ComparisonHydrograph Comparison


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Total Precipitation (mm)

An Event in 1995An Event in 1995An Event in 1995An Event in 1995



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ObservationsObservations

Simulations using HL-RMS in distributed mode without any calibration effort yields better results than calibrated lumped simulations at most times

Distributed modeling yields much better results for events where rainfall has big variation across a basin

Distributed simulation results are better when the SAC parameters are scaled based on calibrated parameters


Rainfall distribution has the biggest effect on differences between lumped and distributed simulations

Derived gridded rainfall-runoff and routing parameters are reasonably good

Use of only gridded parameters yields higher peaks in hydrographs

Recession part of simulated hydrographs is off the most compared to observed discharges

ObservationsObservations cont.


ObservationsObservations cont.

HL-RMS is a workable and a flexible research tool to study hydrologic processes, and to test the sensitivity of model parameters and input forcing on simulations

comparisons of simulation results using the nws hydrology laboratory's research modeling...

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