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Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application in the southeast United States
| Title: | Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application in the southeast United States. |
 237 views 97 downloads |
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| Name(s): |
Bastola, Satish, author Misra, Vasubandhu, author |
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| Type of Resource: | text | |
| Genre: | Text | |
| Issuance: | serial | |
| Date Issued: | 2012 | |
| Physical Form: |
computer online resource |
|
| Extent: | 1 online resource | |
| Language(s): | English | |
| Abstract/Description: | Skillful and reliable precipitation data is essential for seasonal hydrologic forecasting, and generation of hydrological data. Though output from dynamic downscaling methods is used for hydrological application, the existence of systematic errors in dynamically downscaled data adversely affects the skill of hydrologic forecasting. This study evaluates the precipitation data derived by dynamically downscaling the global atmospheric reanalysis data by propagating them through three hydrological models. Hydrological models are calibrated for 28 basins located in the southeast United States (U.S.) that is minimally affected by human intervention. Calibrated hydrological models are forced with five different types of datasets: global (NCEP R2 and ERA40) at their native resolution; dynamically downscaled; synthetically generated; bias-corrected, dynamically downscaled and bias-corrected global reanalysis. Our study indicates that over the 28 watersheds in the southeast U.S., the simulated hydrological response to the biascorrected dynamically downscaled data is superior. In comparison to synthetically generated meteorological forcing, the dynamically downscaled data result in more realistic hydrological simulations. Therefore, we conclude that dynamical downscaling, although resource intensive, is better suited for hydrological simulation in the southeast U.S. | |
| Identifier: | FSU_migr_coaps_pubs-0057 (IID) | |
| Keywords: | Reanalysis, Bias correction, rainfall runoff model | |
| Note: | Submitted for publication in Hydrological Processes. A pre-peer reviewed version of the article is accessible at http://coaps.fsu.edu/bibliography/papers/bastola/2012jawra.pdf'>http://coaps.fsu.edu/bibliography/papers/bastola/2012jawra.pdf">http://coaps.fsu.edu/bibliography/papers/bastola/2012jawra.pdf | |
| Citation: | Bastola, S., and V. Misra, 2012: Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application in the southeast United States. Hydrological Processes, (submitted). Submitted version accessible at http://coaps.fsu.edu/bibliography/papers/bastola/2012jawra.pdf | |
| Subject(s): |
Atmospheric sciences Meteorology Oceanography |
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| Links: | http://coaps.fsu.edu/bibliography/papers/bastola/2012jawra.pdf | |
| Persistent Link to This Record: | http://purl.flvc.org/fsu/fd/FSU_migr_coaps_pubs-0057 | |
| Owner Institution: | FSU | |
| Is Part of Series: | COAPS Publications. | |
| Is Part Of: | Hydrological Processes. |
Bastola, S., & Misra, V. (2012). Evaluation of dynamically downscaled reanalysis precipitation data for hydrological
application in the southeast United States. Hydrological Processes. Retrieved from http://coaps.fsu.edu/bibliography/papers/bastola/2012jawra.pdf
