ANUClimate A NEW approach to interpolating our national network0.01 degree climate surfaces

Professor Mike Hutchinson (ANU)

Climate data sets (1 km)Tmin Tmax vp P pan

evap.wet days

solar rad.

wind speed

daily1970-2011

✔ ✔ ✔ ✔

monthly 1970-2011

✔ ✔ ✔ ✔ ✔ ✔

mean monthly

✔ ✔ ✔ ✔ ✔ ✔ ✔

When? Delivery timeline…

30 Nov 2013

Data starts propagating to RDSI*ADVANCED USER ACCESSDOI’s NOT YET AVAILABLE = NO PUBLISH

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

RDSI opendap netCDF CF & Metadata store complete= public release

24 Dec 2013

Complete set of Climate andBioclimatic data available on RDSI

31 Jan 2013

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 (non-anomaly) and current anomaly approach

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

ANUClimate

How is it done?ANUClimate

AMOS 2014

Bioclimate data sets (1 km T, P and R)