Application of Pre-Processed Radar-Based Gridded Precipitation Using Streamlined Workflow of HEC-HMS and HEC-RAS
Publication: World Environmental and Water Resources Congress 2024
ABSTRACT
Significant development in remotely sensed gridded precipitation data archives has been observed recently. Contemporarily, the advancement in the field of 2D rain-on-mesh modeling technique for creating a spatially detailed rainfall-runoff model has extended the use of gridded precipitation products. Unlike point precipitation data, radar and satellite-based precipitation products can be effective in modeling the spatial variations in the rainfall within a watershed during event-based modeling. This promotes the use of gridded precipitation data for calibrating and validating the models for a historic event. Agencies like National Weather Service (NWS), National Aeronautics and Space Administration (NASA), and United States Geological Survey (USGS) provide gridded precipitation products based on different remote sensing and quality control algorithms. Moreover, the estimation and quality control of these gridded precipitation datasets is not consistent among different sources, and their spatiotemporal resolution varies widely. The current study aims to compare and evaluate the efficiency of different types of gridded rainfall data for the rainfall-runoff simulation of a historic event. HEC-RAS, developed by USACE, can route the gridded precipitation products by evaluating the losses for each computational cell within the mesh and routing the excess precipitation downstream. The current study utilized gridded precipitation data such as NEXRAD Stage III, NCEP Stage IV, AORC, and NARR as the input to a HEC-RAS rain on mesh model to identify the products that can closely predict the historic runoff at the gauged streamflow stations. Multiple storm events were considered for unbiased hypothesis testing, while the obtained results may vary with the watersheds and the modeling approach.
Get full access to this chapter
View all available purchase options and get full access to this chapter.
REFERENCES
AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., and Amitai, E. (2011). Evaluation of satellite‐retrieved extreme precipitation rates across the central United States. Journal of Geophysical Research: Atmospheres, 116(D2).
Ahmed, S. I., Rudra, R., Goel, P., Khan, A., Gharabaghi, B., and Sharma, R. (2022). A comparative evaluation of using rain gauge and NEXRAD radar-estimated rainfall data for simulating streamflow. Hydrology, 9(8), 133.
Chen, T., Ren, L., Yuan, F., Yang, X., Jiang, S., Tang, T., and Zhang, L. (2017). Comparison of spatial interpolation schemes for rainfall data and application in hydrological modeling. Water, 9(5), 342.
Chintalapudi, S., Sharif, H. O., and Xie, H. (2014). Sensitivity of distributed hydrologic simulations to ground and satellite based rainfall products. Water, 6(5), 1221–1245.
Cho, Y. (2020). Application of NEXRAD radar-based quantitative precipitation estimations for hydrologic simulation using ArcPy and HEC software. Water, 12(1), 273.
Du, J. (2011). NCEP/EMC 4KM Gridded Data (GRIB) Stage IV Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6PG1QDD. Accessed 06 Jun 2023.
Mesinger, F., et al. “A long-term, consistent, high-resolution climate dataset for the North American domain, as a major improvement upon the earlier global reanalysis datasets in both resolution and accuracy. ” Submitted to BAMS 2004.
Kitzmiller, D. H., Wu, W., Zhang, Z., Patrick, N., and Tan, X. (2018, December). The analysis of record for calibration: a high-resolution precipitation and surface weather dataset for the United States. In AGU Fall Meeting Abstracts (Vol. 2018, pp. H41H-06).
Li, X. (2021). Evaluating the Effects of Project Brays Mitigation Using Unsteady HEC–RAS Hydraulic Modeling: Application to Meyerland in Houston, TX (Doctoral dissertation, Rice University).
Marra, F., and Morin, E. (2015). Use of radar QPE for the derivation of Intensity–Duration–Frequency curves in a range of climatic regimes. Journal of hydrology, 531, 427–440.
McGraw, D., Nikolopoulos, E. I., Marra, F., and Anagnostou, E. N. (2019). Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States. Journal of Hydrology, 573, 299–310.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885–900.
Neary, V. S., Habib, E., and Fleming, M. (2004). Hydrologic modeling with NEXRAD precipitation in middle Tennessee. Journal of Hydrologic Engineering, 9(5), 339–349.
NOAA, NWS, and AHPS (National Oceanic and Atmospheric Administration, National Weather Service, and Advanced Hydrologic prediction service). Available online: https://water.weather.gov/precip/download.php (accessed on 1 January 2020).
NRCS. (1986). Urban hydrology for small watersheds TR-55.
Shrestha, A., Rahaman, M. M., Kalra, A., Thakur, B., Lamb, K. W., and Maheshwari, P. (2020). Regional climatological drought: an assessment using high-resolution data. Hydrology, 7(2), 33.
Singh, J., Knapp, H. V., Arnold, J. G., and Demissie, M. (2005). Hydrological modeling of the Iroquois river watershed using HSPF and SWAT 1. JAWRA Journal of the American Water Resources Association, 41(2), 343–360.
Sokol, Z., Szturc, J., Orellana-Alvear, J., Popova, J., Jurczyk, A., and Célleri, R. (2021). The role of weather radar in rainfall estimation and its application in meteorological and hydrological modelling—A review. Remote Sensing, 13(3), 351.
Thorndahl, S., Einfalt, T., Willems, P., Nielsen, J. E., Ten Veldhuis, M. C., Arnbjerg-Nielsen, K., and Molnar, P. (2017). Weather radar rainfall data in urban hydrology. Hydrology and Earth System Sciences, 21(3), 1359–1380.
Wallbank, J. R., Dufton, D., Neely, R. R., III, Bennett, L., Cole, S. J., and Moore, R. J. (2022). Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model. Journal of Hydrology, 613, 128311.
Wang, J., Petersen, W. A., and Wolff, D. B. (2021). Validation of satellite-based precipitation products from TRMM to GPM. Remote Sensing, 13(9), 1745.
Zeiger, S. J., and Hubbart, J. A. (2021). Measuring and modeling event-based environmental flows: An assessment of HEC–RAS 2D rain-on-grid simulations. Journal of Environmental Management, 285, 112125.
Information & Authors
Information
Published In
World Environmental and Water Resources Congress 2024
Pages: 43 - 56
History
Published online: May 16, 2024
ASCE Technical Topics:
- Business management
- Climates
- Engineering fundamentals
- Environmental engineering
- Equipment and machinery
- Federal government
- Government
- Hydraulic models
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Meteorology
- Models (by type)
- Organizations
- Practice and Profession
- Precipitation
- Radar
- Rainfall
- Rainfall-runoff relationships
- Two-dimensional models
- Water and water resources
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.