EcoTas13 Mike Hutchinson ANU Climate

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The document describes a new approach to interpolating climate data in Australia called ANUClimate. It provides high resolution (1km) daily and monthly climate surfaces for temperature, precipitation, solar radiation, wind speed and other variables from 1970-2011. The summaries will be delivered to the Research Data Storage Infrastructure (RDSI) by the end of 2013, improving temperature estimates by 25% and precipitation estimates by 7-15% compared to previous methods. The new approach uses an improved background-anomaly-interpolation method that can effectively model temperature and rainfall patterns and accounts for topography and coastal influences better than previous methods.

Technology

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
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1970-2011

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monthly
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1970-2011

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mean
monthly

pan
evap.

wet
days

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solar
rad.

wind
speed

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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’
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A comprehensive and engaging review of how the past decade of Australian Government research infrastructure investment has transformed our understanding of the environment. Observing Environmental Change in Australia – Conversations for Sustainability covers the monitoring of environmental change, urbanisation and land-use changes, biodiversity, extreme events, climate, carbon and water. Chapters detail the importance of Indigenous knowledge, the use of satellite remote sensing and drones, and managing ‘big data’. The book concludes with descriptions of visualising environmental information, emerging technologies, and the importance of engaging the community.

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The document discusses the International Long Term Ecological Research Network (ILTER). It provides an overview of ILTER's activities which include coordinating key elements of environmental systems research, developing a strategic framework, and facilitating partnerships. ILTER aims to fill critical gaps in multi-site, cross-disciplinary, and conceptual long-term ecological research. It also establishes scientific initiatives and works to develop a global research infrastructure to integrate terrestrial observation networks.

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TERN Australia

EFTEON is South Africa's Enhanced Freshwater and Terrestrial Ecological Observation Network, a new ecological research infrastructure announced in late 2016. It will have around 6 landscapes by 2020 and use a modular, nested design across landscapes to facilitate multi-user, long-term research on biogeochemistry, hydrology, biodiversity and human-ecosystem interactions. EFTEON will establish a tiered observation platform including satellites, highly instrumented core sites, and sparsely instrumented linked sites, along with experiments and social surveys. It aims to provide answers unavailable elsewhere and leverage South Africa's comparative advantages in international research, including existing long-term manipulative experiments. Establishing and sustaining such research infrastructures

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The document describes three long-term ecological research networks in the United States: 1) The Long Term Ecological Research network has 28 sites across different biomes that have been funded by the NSF for 6 years each since 1980 to address long-term ecological questions. 2) The Long-Term Agroecosystem Research network has 18 agricultural sites funded by the USDA since 2012 to study sustainable agriculture. 3) The National Ecological Observatory Network has 20 primary sites across climate regions in the US funded by the NSF since 2011 to detect environmental changes over decades.

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The document discusses long-term socioecological research and the need for a transdisciplinary approach. It provides an overview of the International Long Term Ecological Research Network (ILTER) and its focus on long-term monitoring of sites, data sharing standards, and detecting global trends. The document argues that purely interdisciplinary research is not sufficient and a transdisciplinary approach is needed where researchers work directly with different knowledge sources, including local communities, to address sustainability challenges.

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This document describes mapping ecological facets across Australia by analyzing the key drivers of ecosystem formation - macroclimate, lithology, landform, and vegetation structural formations. 59 homogeneous bioclimatic regions were mapped based on clustering uncorrelated bioclimatic variables. Lithology and weathering intensity were derived from existing Geoscience Australia data. Landform was characterized through land surface form and topographic moisture potential indicators. Combining these ecosystem drivers with vegetation structural formations data resulted in a continental dataset of 369,439 unique ecological facets at 90m resolution. This ecological facets mapping provides insight into biophysical variation across Australian ecosystems.

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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…

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