# Presentation: 029593

## Comparisons of Simulation Results Using the NWS 

**Comparisons of Simulation Results Using the NWS **
**Hydrology Laboratory's Research Modeling System**
**(HL-RMS)**

**Hydrology Laboratory**
**Office of Hydrologic Development**
**National Weather Service/NOAA**

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

*HYDROLOGY LABORATORY, OHD/NWS/NOAA*

## What is HL-RMS?

**A **_***R***_**esearch **_***M***_**odeling **_***S***_**ystem being developed by researchers in the **_***H***_**ydrology **_***L***_**aboratory, Office of Hydrologic Development, NWS/NOAA.**
**Modeling framework for testing lumped, semi-distributed, and fully-distributed hydrologic modeling approaches.**

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## HL-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

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## HL-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

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## HL-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

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## Test Basin

**Area:  ****1233**** km****2**

**Blue River Basin, OK**

## Test Runs

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- Lumped parameters from manual calibration, lumped forcing
- Distributed parameters, distributed forcing
- Scaled distributed parameters, distributed forcing

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**Continuous 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 Parameters

## Test Results

**Distributed Channel Runoff**

- Channel Runoff (cms)

- November 7, 1996 22:00

***outlet***

## Test Results

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

**Rainfall & Surface Runoff**

## Test Results

**Hydrographs @ Interior Points**

***Basin***
***Outlet***

***A***

***B***

***C***

## Test Results

***Basin***
***Outlet***

***A***

***B***

***C***

**Hydrographs @ Interior Points**

## Test Results

***outlet***

**Total Precipitation (mm)**

- An Event in 1994

**Hydrograph  Comparison**

## Test Results

***outlet***

**Total Precipitation (mm)**

- An Event in 1995

**Hydrograph  Comparison**

## Test Results

***outlet***

**Total Precipitation (mm)**

- An Event in 1996

**Hydrograph  Comparison**

## Test Results

- An Event in 1997

***outlet***

**Total Precipitation (mm)**

**Hydrograph  Comparison**

## Test Results

***outlet***

**Total Precipitation (mm)**

- An Event in 1998

**Hydrograph  Comparison**

## Test Results

***outlet***

**Total Precipitation (mm)**

- An Event in 1999

**Hydrograph  Comparison**

## Observations

- 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

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## Observations

- 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

*cont.*

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## Observations

*cont.*

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- 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