<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Baihua Fu</dc:contributor>
  <dc:contributor>Joseph H. A. Guillaume</dc:contributor>
  <dc:contributor>Jennifer Badham</dc:contributor>
  <dc:contributor>Sondoss Elsawah</dc:contributor>
  <dc:contributor>Patricia Gober</dc:contributor>
  <dc:contributor>Randall J. Hunt</dc:contributor>
  <dc:contributor>Takuya Iwanaga</dc:contributor>
  <dc:contributor>Anthony J. Jakeman</dc:contributor>
  <dc:contributor>Daniel P. Ames</dc:contributor>
  <dc:contributor>Allan Curtis</dc:contributor>
  <dc:contributor>Mary C Hill</dc:contributor>
  <dc:contributor>Suzanne A Pierce</dc:contributor>
  <dc:contributor>Fateme Zare</dc:contributor>
  <dc:creator>Serena H Hamilton</dc:creator>
  <dc:date>2019</dc:date>
  <dc:description>&lt;div id="abstracts" class="Abstracts u-font-serif"&gt;&lt;div id="abs0010" class="abstract author" lang="en"&gt;&lt;div id="abssec0010"&gt;&lt;p id="abspara0010"&gt;Environmental modelling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modelling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposes a more complete framework for identifying and measuring the effectiveness of modelling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasises the importance of contextual factors in determining the relevance and outcome of the criteria. These evaluation criteria are grouped into eight categories: project efficiency, model accessibility, credibility, saliency, legitimacy, satisfaction, application, and impact. Evaluation should be part of an iterative and adaptive process that attempts to improve model-based outcomes and foster pathways to better futures.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.envsoft.2019.04.008</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>A framework for characterising and evaluating the effectiveness of environmental modelling</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>