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Schedule of Cropping Decisions. A Targetted Forecast ... Crop Yield Estimates (STIN, APSIM, PYCAL ... Analysis of Risk - Crop Yields. Source: Horses for ... – PowerPoint PPT presentation

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1
 Making Decisions for the Next Season
Examples of Agricultural Forecasting
Applications Is there skill beyond climatology?
Ian Foster Miles Dracup WA Dept of
Agriculture Water Corporation
2
Climate Risk Management
  • The importance of climate risk management to many
    sectors is a given
  • Seasonal forecasts potentially have a major role
  • BUT (for example)
  • 95 of farmers find seasonal forecasts
    interesting
  • 25 of farmers find seasonal forecasts useful

Weeks (2005) Liebe Group Workshop, Wubin
3
The Nature of Decisions
  • A schedule of decisions
  • Strategic vs Tactical decisions
  • Negotiability of decisions (some may be locked in
    anyway)
  • Capacity to respond to a forecast
  • Information needs vary (eg, timeliness, means of
    delivery)

-
4
Season Types - Eastern Wheatbelt
Extra from climate knowledge
Proportion of long-term profit
Condensed from 11 MUDAS season types (R Kingwell,
DAWA)
5
Changes in Season Types - Merredin
6
Schedule of Cropping Decisions
7
A Targetted Forecast
  • A forecast that was aimed at strategic
    agricultural decisions in WA would look like
  • Long-lead (6 months)
  • Likelihood of seasonal extremes (eg Tercile 1 vs
    Tercile 3)
  • Available in summer/autumn
  • Is communicated well
  • Are we dreaming?

8
Current Seasonal Outlooks
  • Operational outlooks
  • 0-1 month lead-time
  • Driven by ENSO
  • Autumn predictability barrier
  • Statistical (issues of stationarity wrt climate
    trends)
  • Expressed as probabilities
  • Experimental outlooks
  • To 6 months lead-time
  • Rely on ENSO as a driver for seasonal memory
  • Autumn predictability barrier
  • Potential to adapt to climate trends
  • Expressed as probabilities

9
Analysis of Risk - Methods
  • Historical climate data (BoM, DAWA, farmers own
    records)
  • Historical production data
  • Analysis tools (Rainman, Climate Calculator )
  • Soil moisture (PYCAL, DAWA, APSIM)
  • Crop Yield Estimates (STIN, APSIM, PYCAL )
  • Combine season-to-date conditions with
    climatology and derived products
  • Used more for tactical decisions within-season
  • Need facilitated access (eg develop partnerships
    for delivery)

10
Analysis of Risk - Rainfall
Observed to date
Future
11
Analysis of Risk - Crop Yields
Source Horses for Courses Bulletin Aug 2005.
Site at West Morawa. Based on actual rain to 27
July 05, and historical finishes to the season.
12
The Search for Predictability - 1
Correlation of May-Oct rain with SOI indices over
Feb-Apr. EPI derived in Nov of previous year
Source Telcik (2005)
13
The Search for Predictability - 2
Correlation of May-Oct rain with SOI indices over
Mar-May. EPI derived in Nov of previous year
Source Telcik (2005)
14
Correlations with SSTs
Correlation of MJJ rain with MJJ de-trended SST
Location at 32.5 S 177 E
Correlation of MJJ rain with JFM de-trended SST
Source Telcik (2005)
15
SST Anomalies in Neutral Years
Av
Dry
May-Jul rainfall
Wet
Source Telcik (2005)
16
Summary
  • Climate risk management is important to many
    sectors. Seasonal climate forecasts form a part
    this.
  • Current seasonal climate outlooks are not well
    matched to strategic decision making needs.
  • Use of current conditions, climatology and
    derived products has practical application to
    tactical decisions.
  • The search for predictability continues via
    enhancements to ENSO-based approaches and
    phenomena especially relevant to WA.
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