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User-driven Climate Forecasts in the Southeast U.S.

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the tornado alley. Neutral ENSO phase increases the risk of severe freezes by 3:1 odds. ... La Ni a brings drier than normal conditions (30%-40%) and warmer ... – PowerPoint PPT presentation

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Title: User-driven Climate Forecasts in the Southeast U.S.


1
User-driven Climate Forecasts in the Southeast
U.S.
  • David F. Zierden
  • Assistant State Climatologist
  • Center for Ocean-Atmospheric Prediction Studies
  • The Florida State University
  • Tallahassee, FL

2
World Map
3
ENSO Impacts in the Southeast
  • La Niña
  • Dry Fall, Winter, and Spring
  • Greatly increases Atlantic
  • hurricanes
  • Increases tornadoes in
  • the deep south
  • Greatly increases wildfire
  • activity
  • EL Niño
  • Very wet winter and spring
  • Greatly reduces Atlantic
  • hurricanes
  • decreases tornadoes in
  • the tornado alley

Neutral ENSO phase increases the risk of severe
freezes by 31 odds.
4
ENSO Effects on Precipitation
5
ENSO Effects on Temperature
6
Impact Freezes of the last century
Freeze Date ENSO State Dec 1894
Neutral Feb 1899 Neutral Dec
1934 Neutral Jan 1940
Neutral Dec 1961 Neutral Jan
1977 El Nino Jan 1981
Neutral Dec 1983 Neutral Jan
1985 Neutral Dec 1989
Neutral Jan 1997 Neutral High
Impact
7
ENSO and Florida FreezeProbabilites
8
Return Frequencies
9
Extended Freeze Events
10
Late Season Freezes
11
La Niña and Wildfires
April
  • La Niña brings drier than normal conditions
    (30-40) and warmer temperatures from November
    through April.
  • Wildfire activity is increased throughout the
    wildfire season.
  • The increased activity can be expected during
    nearly all La Niña episodes.

Anomalous Wildfire activity (acres burned)
during La Niña episodes
12
Mallory Swamp Fire during the last La Niña
13
Forecasting Potential Wildfire Activity
  • Forecast based on the Keetch-Byram Drought Index
    (KBDI).
  • Historical weather observations from the NWS Coop
    network provides coverage at nearly county level.
  • Forecast is presented in probabilistic terms.
  • Bootstrapping used to generate probability
    distributions for each station.

14
KBDI Forecast Method
15
Wildfire Threat forecast
  • The end product is a monthly, county-by-county
    forecast of the KBDI.
  • Graphic shows the probability of at least 7 days
    in the month being above or below critical
    thresholds.
  • Thresholds were determined with input from
    forestry and wildfire experts.
  • Forecast was based on the Neutral ENSO phase.

16
More uses for climate forecasts that just wildfire
  • Harvesting - cannot harvest in low areas during
    El Nino winters.
  • Planting - Survival rate low during La Nina
  • Managed Forests - Herbicides, pesticides,
    prescribed burns

17
For More Information
  • Visit Our Websites
  • COAPS www.coaps.fsu.edu
  • Florida Climate Center
  • www.coaps.fsu.edu/climate_center
  • Florida Automated Weather Network
  • fawn.ifas.ufl.edu

18
Determining Probability Distributions using
Bootstrapped Data
  • Begin with the CURRENT KBDI value at the
    beginning of the forecast cycle.
  • Use over 50 years of DAILY observations at each
    station (13 El Nino, 13 La Nina, and 28 neutral).
  • Constuct a bootstrapped month by randomly
    selecting temperature and precipitation values
    each day from the group with similar ENSO phase.
  • Repeat until you have 1,000 realizations of the
    specific ENSO phase in each month.
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