1. GLOBAL FLOOD PREDICTABILITY CASE STUDY: HAITI Cyndi Vail Castro CE394K Fall 2014

2. PERSONAL MOTIVATION: HAITI Photos: Cyndi Castro (2011) EventInjuriesFatalities 2004 Hurricanes Jeanne, Ivey300,0005,000 2008 Hurricanes Fay, Gustav, Hanna, Ike 1,000,000800

3. PERSONAL MOTIVATION: JEDDAH Photos: AECOM Technical Services, Inc. (2011)

4. Heimhuber (2013)

5. GLOBAL PRECIPITATION: GLDAS Time Series, 3-hr Average Flux, 1 o Grid, 1979-2014

6. GLDAS IDF TEST: AUSTIN, TX IDF Curve (2-, 5-, 10-, 25-, 50-, 100-yr) i (in/hr) t d (hr) 1 o Grid - Travis County

7. GLDAS IDF TEST: AUSTIN, TX 0.10 0.14 0.17 0.21 0.24 0.26 0.21 0.33 0.40 0.50 0.57 0.64 0.14 0.21 0.26 0.32 0.36 0.40 0.35 0.54 0.68 0.84 0.96 1.08

8. GLOBAL PRECIPITATION Time Series, 3-hr Average Flux, 0.5 o Grid, 1979-2012

9. ECMWF-NOAA IDF TEST: SOUTHEASTERN U.S. NOAA Atlas 14

10. ECMWF-NOAA IDF TEST: SOUTHEASTERN U.S.

11. ECMWF-NOAA IDF CORRECTION FACTOR

12. PRECIPITATION DATA “It has been established by experience that the most effective means to reduce poverty damage and loss of life caused by floods is the development of flood warning systems. However, progress in large scale flood warning has been constrained by the difficulty of measuring the primary causative factor, i.e. rainfall fluxes, continuously over space and time due largely to insufficient ground monitoring networks.” - Hong, 2010 USGS NASA

13. Heimhuber (2013)

14. ARCHYDRO Delineate Watershed from DEM & Create Drainage Lines

15. ARCHYDRO Batch Watersheds with Outlet Points

16. HEC GEO-HMS Create HEC-HMS Input INPUT DEM ArcHydro Outputs Rainfall Grid (optional) Land Use, Soil Type (optional) PROCESSING Basin Processing Hydrologic Parameters (CN) OUTPUT Hydrologic Parameters HMS Basin Schematic Met Model

17. CITATIONS Danielson, J.J., and Gesch, D.B. (2011). Global multiresolution terrain elevation data 2010 (GMTED2010): U.S. Geological Survey Open-File Report 2011–1073, 26 p. Heimhuber, V. (2013) GIS based flood modeling as part of an integrated development strategy for informal settlements. master’s thesis. Technische Universität München. Hong, Y, R.F. Adler, A. Negri, and G.H. Huffman (2007). Flood and landslide applications of near real-time satellite rainfall estimation. J. Natural Hazards. 43(2). Rodell M, P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J. K. Entin, J. P. Walker, D. Lohmann, and D. Toll (2004). The Global Land Data Assimilation System. Bulletin of the American Meteorological Society, vol 85 (3), pp 381-394. Sanja Perica, D. Martin, S. Pavlovic, I. Roy, M. St. Laurent, C. Trypaluk, D. Unruh, M. Yekta, G. Bonnin (2013). NOAA Atlas 14 Volume 9 Version 2, Precipitation-Frequency Atlas of the United States, Southeastern States. NOAA, National Weather Service, Silver Spring, MD. Weedon et al 2011 J.Hydromet doi: 10.1175/2011JHM1369.1; Weedon et al 2014, Water Resour. Res. doi:10.1002/2014WR015638