Near Real-time Seasonal Drought Forecasting and Retrospective Drought Analysis using Simulated Multi- layer Soil Moisture from Hydrological Models at Sub- Watershed Scales
dc.contributor.author | Sehgal, Vinit | en |
dc.contributor.committeechair | Sridhar, Venkataramana | en |
dc.contributor.committeemember | Juran, Luke | en |
dc.contributor.committeemember | Ogejo, Jactone Arogo | en |
dc.contributor.department | Biological Systems Engineering | en |
dc.date.accessioned | 2017-08-03T12:58:50Z | en |
dc.date.available | 2017-08-03T12:58:50Z | en |
dc.date.issued | 2017-07-28 | en |
dc.description.abstract | This study proposes a stratified approach of drought severity assessment using multi-layer simulated soil moisture. SWAT (Soil and Water Assessment Tool) models are calibrated for 50 watersheds in the South-Atlantic Gulf region of the Southeastern US and a high-resolution daily soil moisture dataset is obtained at Hydrologic Unit Code (HUC-12) resolution for a period of January 1982 through December 2013. A near real-time hydrologic simulation framework by coupling the calibrated SWAT models with the National Centers for Environmental Prediction (NCEP) coupled forecast system model version 2 (CFSv2) weather data is developed to forecast various water balance components including soil moisture (SM), actual evapotranspiration (ET), potential evapotranspiration ET (PET), and runoff (SURQ) for near-real time drought severity assessment, and drought forecasting for a lead of 9-months. A combination of the surface and total rooting depth soil moisture percentiles proves to be an effective increment over conventional drought assessment approaches in capturing both, transient and long-term drought impacts. The proposed real-time drought monitoring approach shows high accuracy in capturing drought onset and propagation and shows a high degree of similarity with the U.S. Drought Monitor (USDM), the long-term (PDSI, PHDI, SPI-9 and SPI-12), and the short-term (Palmer Z index, SPI-1 and SPI-6) drought indices. | en |
dc.description.degree | Master of Science | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:12094 | en |
dc.identifier.uri | http://hdl.handle.net/10919/78623 | en |
dc.publisher | Virginia Tech | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Drought | en |
dc.subject | Soil moisture | en |
dc.subject | Water balance | en |
dc.subject | Southeastern US | en |
dc.subject | Hydroclimatology | en |
dc.subject | SWAT | en |
dc.subject | CFSv2 | en |
dc.title | Near Real-time Seasonal Drought Forecasting and Retrospective Drought Analysis using Simulated Multi- layer Soil Moisture from Hydrological Models at Sub- Watershed Scales | en |
dc.type | Thesis | en |
thesis.degree.discipline | Biological Systems Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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