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ANUClimate
A NEW approach to interpolating our national network
0.01 degree climate surfaces

Professor Mike Hutchinson (ANU)
Climate data sets (1 km)
Tmin

Tmax

vp

P

daily
✔
1970-2011

✔

✔

✔

monthly
✔
1970-2011

✔

✔

✔

✔

mean
monthly

pan
evap.

wet
days

✔

✔

✔

✔

✔

✔

solar
rad.

wind
speed

✔

✔
ANUClimate

When? Delivery timeline…
Complete set of Climate and
Bioclimatic data available on
RDSI
RDSI opendap netCDF CF
& Metadata store complete
= public release
Data starts propagating
to RDSI*
ADVANCED USER ACCESS
DOI’s NOT YET AVAILABLE = NO PUBLISH

30 Nov 2013

24 Dec 2013

31 Jan 2013

*Currently experiencing delays in RDSI allocation – delays in the Raijin cloud roll out etc…
ANUClimate

What can we expect?
• Temperature estimates improved by around
25% compared to Jones et al. 2009 (RMSE
cross validation)
• Precipitation estimates a modest, but
significant, improvement (7-15% RMSE cross
validation)
The model makes no further improvement on
accuracy beyond the 1km mark !
ANUClimate

What is different?
• Improved ‘background-anomaly-interpolation’
approach
•
•
•

Temperature and both positive and zero rainfall
can be effectively interpolated by the thin plate
splines method - with adaptive capacity !
Monthly means, topographically corrected yield
influence of atmospheric processes and terrain
Significant improvement over both direct (nonanomaly) and current anomaly approach

• Coastal smarts : A new ‘proximity to coast’
modifier captures marine perturbation
ANUClimate

How is it done?
AMOS 2014
Bioclimate data sets (1 km T, P and R)

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EcoTas13 Mike Hutchinson ANU Climate

  • 1. ANUClimate A NEW approach to interpolating our national network 0.01 degree climate surfaces Professor Mike Hutchinson (ANU)
  • 2. Climate data sets (1 km) Tmin Tmax vp P daily ✔ 1970-2011 ✔ ✔ ✔ monthly ✔ 1970-2011 ✔ ✔ ✔ ✔ mean monthly pan evap. wet days ✔ ✔ ✔ ✔ ✔ ✔ solar rad. wind speed ✔ ✔
  • 3. ANUClimate When? Delivery timeline… Complete set of Climate and Bioclimatic data available on RDSI RDSI opendap netCDF CF & Metadata store complete = public release Data starts propagating to RDSI* ADVANCED USER ACCESS DOI’s NOT YET AVAILABLE = NO PUBLISH 30 Nov 2013 24 Dec 2013 31 Jan 2013 *Currently experiencing delays in RDSI allocation – delays in the Raijin cloud roll out etc…
  • 4. ANUClimate What can we expect? • Temperature estimates improved by around 25% compared to Jones et al. 2009 (RMSE cross validation) • Precipitation estimates a modest, but significant, improvement (7-15% RMSE cross validation) The model makes no further improvement on accuracy beyond the 1km mark !
  • 5. ANUClimate What is different? • Improved ‘background-anomaly-interpolation’ approach • • • Temperature and both positive and zero rainfall can be effectively interpolated by the thin plate splines method - with adaptive capacity ! Monthly means, topographically corrected yield influence of atmospheric processes and terrain Significant improvement over both direct (nonanomaly) and current anomaly approach • Coastal smarts : A new ‘proximity to coast’ modifier captures marine perturbation
  • 8. Bioclimate data sets (1 km T, P and R)