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National Flood Workshop “Precipitable Water Values Associated with Recent Flood Events in Southeast Texas” Paul Lewis 1.

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Presentation on theme: "National Flood Workshop “Precipitable Water Values Associated with Recent Flood Events in Southeast Texas” Paul Lewis 1."— Presentation transcript:

1 National Flood Workshop “Precipitable Water Values Associated with Recent Flood Events in Southeast Texas” Paul Lewis 1

2 National Flood Workshop Outline For Today Few introductory items Few introductory items – What is PW? – Heavy rainfall forecasting methods – SE Texas “recent” heavy rainfall events A study of two events utilizing a PW statistical analysis method (from WFO Rapid City, SD) A study of two events utilizing a PW statistical analysis method (from WFO Rapid City, SD) 2

3 National Flood Workshop What is PW? – From the AMS “Glossary of Meteorology” http://amsglossary.allenpress.com/glossary “The total precipitable water is that contained in a column of unit cross section extending all of the way from the earth's surface to the ‘top’ of the atmosphere” “The total precipitable water is that contained in a column of unit cross section extending all of the way from the earth's surface to the ‘top’ of the atmosphere” Utilizing inches & millimeters in this presentation Utilizing inches & millimeters in this presentation –“W” is total precipitable water vapor –“g” is acceleration of gravity –“x(p)” is the mixing ratio at pressure “p” –“p1” & “p2” define a pressure layer 3

4 National Flood Workshop A Word of Caution Rainfall in convective events often exceed PW Rainfall in convective events often exceed PW → Convergence of water vapor is frequently quite large The AMS “Glossary of Meteorology” states: The AMS “Glossary of Meteorology” states: “Nevertheless, there is general correlation between precipitation amounts in given storms and the precipitable water vapor of the air masses involved in those storms.” 4

5 5 National Flood Workshop Heavy Rainfall Forecasting “No one method can be utilized by itself without consideration of all other patterns” (T.W. Funk) “No one method can be utilized by itself without consideration of all other patterns” (T.W. Funk) – Implies that pattern and event recognition is required For this presentation, cases with heavy rainfall For this presentation, cases with heavy rainfall Note: High PW can occur without rainfall Note: High PW can occur without rainfall

6 6 National Flood Workshop Using 2SD and PW MAX – An Empirical Observation 95% of the values lie within ±2SD of the mean value (Bunkers, WFO UNR) → This implies that PW +2SD is a fairly rare event (Bunkers, WFO UNR) → Thus, PW MAX would be a very rare event See: http://www.crh.noaa.gov/unr/?n=pw

7 7 National Flood Workshop Other Items to Keep in Mind Other heavy rainfall forecasting rules of thumb could be considered – PW & 70% Thickness saturation (T.W. Funk 1991) – Flash Flood Decision Tree (HGX/SIL) – Ingredients-Based Methodology (Doswell et al 1996) Upper air sounding data records have systematic observational errors in humidity (Wang and Zhang 2007) – Includes sensor errors and external factors, some due to human error Sounding data time and spatial gaps can be filled with GPS data – GPS data can contain errors but can be more reliable than model data

8 8 National Flood Workshop SE Texas Heavy Rainfall Events “Droughts are broken by floods” Data selection – A headache! Utilizing a 24-hour calendar day lower limit of 4 inches gives dozens of examples at just the official Houston observing sites since 1900

9 9 Courtesy of the NOAA Regional Climate Centers – http://xmacis.rcc-acis.org/HGX/ 77 cases of 4-inch or greater rainfall in a 24-hour period

10 10 National Flood Workshop Recent (10-Year) SE Texas Heavy Rainfall Events Major events do not always cover the entire CWA – Plus, events may be missed by the official observing sites Rainfall data from just the official Houston observing site presents a large number of cases

11 11 Courtesy of the NOAA Regional Climate Centers – http://xmacis.rcc-acis.org/HGX/

12 12 Courtesy of the NOAA Regional Climate Centers – http://xmacis.rcc-acis.org/HGX/ 14 cases of 4-inch or greater rainfall

13 13 National Flood Workshop For this presentation: – June 2001 – TS Allison (no GPS data available) – Two 2009 events show GPS data importance: April 17 April 18

14 Rain band & core rain events PW statistical method corresponded well to the heaviest rainfall locations National Flood Workshop 14 Tropical Storm Allison – June 2001 Clear Creek flooding at FM-528 Buffalo Bayou flooding near downtown Houston

15 15 National Flood Workshop PW (inches) for 04 – 10 June 2001 CRPLCHSHVFWD MAX / +2 SD2.65 / 2.252.55 / 2.252.45 / 2.152.45 / 1.90 6/4 – 00Z / 12Z1.48/ 1.411.81 / 1.911.39 / 1.511.24 / 1.24 6/5 – 00Z / 12Z1.56 / 1.701.70 / 2.061.44 / 1.651.30 / 1.43 6/6 – 00Z / 12Z1.89 / 1.622.20 / 2.162.07 / 2.171.42 / 1.47 6/7 – 00Z / 12Z1.73 / 1.721.86 / 2.642.09 / 2.081.65 / 1.94 6/8 – 00Z / 12Z2.03 / 1.871.87 / 2.382.03 / 2.021.76 / 1.74 6/9 – 00Z / 12Z2.06 / 1.972.09 / 2.39MM / 2.021.65 / 1.51 6/10 – 00Z / 12Z1.77 / 1.602.28 / 2.311.75 / 1.421.10 / 1.30

16 16 National Flood Workshop KHGX Storm Total Precipitation Allison Event 4 – 10 June 2001 Houston Area Rainfall 24 hour total Saturday 9 June 5-day total 4 – 9 June 2001

17 17 National Flood Workshop 17 & 18 April 2009 Events PW from CRP (2SD=1.75) and LCH (2SD=1.85) GPS data available Note... → PW at upper air sites low (limitations in time/space) → GPS data filled in the time and space gaps → PW Statistical Method indicated good flood potential

18 18 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 7:15 AM CDT 17 April 2009

19 19 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 10:15 AM CDT 17 April 2009

20 20 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 1:15 PM CDT 17 April 2009

21 21 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 4:15 PM CDT 17 April 2009

22 22 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 7:15 PM CDT 17 April 2009

23 23 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 7:15 AM CDT 18 April 2009

24 24 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 10:15 AM CDT 18 April 2009

25 25 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 1:15 PM CDT 18 April 2009

26 26 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 3:15 PM CDT 18 April 2009

27 27 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 3:45 PM CDT 18 April 2009

28 28 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 4:15 PM CDT 18 April 2009

29 29 mm: 35 37 39 41 43 45 47 49 51 53 55 inches: 1.38 1.46 1.54 1.61 1.69 1.77 1.85 1.93 2.01 2.09 2.17 7:15 PM CDT 18 April 2009

30 17 & 18 April 2009 30 National Flood Workshop DateTime (UTC)LCH/CRP 2SD PWLCHCRPGPS PW Range 4/1712Z1.75 / 1.850.821.281.38 to 1.77 4/1715Z1.75 / 1.85——1.38 to 1.69 4/1718Z1.75 / 1.85——1.50 to 1.89 4/1721Z1.75 / 1.85——1.57 to 1.85 4/1800Z1.75 / 1.850.781.221.38 to 1.81 4/1812Z1.75 / 1.851.011.061.38 to 1.69 4/1815Z1.75 / 1.85——1.38 to 1.97 4/1818Z1.75 / 1.85——1.54 to 1.93 4/1820Z – 21Z1.75 / 1.85——1.65 to 2.09 4/1900Z1.75 / 1.851.641.171.57 to 1.85

31 31 Observed Rainfall

32 32 Observed Rainfall My home

33 33 National Flood Workshop Conclusion The PW Statistical Method can give a general idea of the potential for a heavy rainfall event The PW Statistical Method can give a general idea of the potential for a heavy rainfall event – However, remember that pattern and event recognition is required A PW value close to 2SD above normal is a fairly rare event A PW value close to 2SD above normal is a fairly rare event – A PW value near the PW MAX is a very rare event The 12Z and 00Z upper air sounding network is limited The 12Z and 00Z upper air sounding network is limited – GPS data can be utilized to fill in the PW picture both on the temporal and spatial scales

34 Research and Data Sources GPS data – http://www.unidata.ucar.edu/data/suominet/gif/ GPS data – http://www.unidata.ucar.edu/data/suominet/gif/ PW study graphs – http://www.crh.noaa.gov/unr/?n=pw PW study graphs – http://www.crh.noaa.gov/unr/?n=pw Rainfall data Rainfall data – http://xmacis.rcc-acis.org/HGX/ – http://hurricane.ncdc.noaa.gov/pls/plhas/has.dsselect Radiosonde data Radiosonde data – Wang, J., and Zhang, L., 2007: “Systematic Errors in Global Radiosonde Precipitable Water Data from Comparisons with Ground-Based GPS Measurements,” Journal of Climate, Volume 21, pp 2218–2238 Upper air data Upper air data – http://vortex.plymouth.edu/get_raob-u.html – http://weather.uwyo.edu/upperair/sounding.html Flash Flood Studies Flash Flood Studies – Doswell, C.A., Brooks, H.E., and Maddox, R.A., 1996: “Flash Flood Forecasting: An Ingredients-Based Methodology,” Weather and Forecasting, Volume 11, pp 560–581 – Funk, T. W., 1991: “Forecasting Techniques,” Weather and Forecasting, Volume 6, pp 548–564 34 National Flood Workshop


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