Model Evaluation

Model evaluation is an integral part of any model development process. It helps identify how good or bad models are at representing natural or human processes, and thus, it gives us insights on our level of understanding we have about these processes. These processes are often complex and interlinked e.g. changes in species richness be influenced by a changing climate, land use changes, pollution, or even a combination of the former, and thus biodiversity models need to be able to capture this complexity to accurately represent the the present and making projections into the future. Model evaluation can also serve other purposes; for instance, it can help identify what models are best at representing observed data, also in particular locations, and how it is expected that these models will work if used for future projections. The collection of ISIpedia articles on model evaluation can answer important questions such as “are biodiversity models good enough at predicting the extinction rates of bird species in a changing climate? How could extinction rates evolve under a 2 degree global warming scenario?” or “what models are better to represent the bird’s diversity in certain regions”, among many others.

SHOW FILTERS

Reports about Model Evaluation

Select Country
All World Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas, The Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Caribbean island small states Cayman Islands Central African Republic Chad Chile China Colombia Comoros Congo, Dem. Rep. Congo, Rep. Costa Rica Cote d'Ivoire Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic EU27 Ecuador Egypt, Arab Rep. El Salvador Equatorial Guinea Eritrea Estonia Eswatini Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern and Antarctic Territories Gabon Gambia, The Georgia Germany Ghana Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Honduras Hong Kong SAR, China Hungary Iceland India Indian Ocean island small state Indonesia Iran, Islamic Rep. Iraq Ireland Isle of Man Israel Italy Jamaica Jammu and Kashmir Japan Jordan Kazakhstan Kenya Kiribati Korea, Dem. People’s Rep. Korea, Rep. Kuwait Kyrgyz Republic Lao PDR Latvia Lebanon Lesotho Liberia Libya Lithuania Luxembourg Madagascar Malawi Malaysia Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Fed. Sts. Moldova Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue North Macedonia Norway Oman Pacific island small states Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russian Federation Rwanda Réunion Saint Pierre et Miquelon Samoa Sao Tome and Principe Saudi Arabia Senegal Serbia Sierra Leone Singapore Slovak Republic Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Islands South Sudan Spain Sri Lanka St. Lucia St. Vincent and the Grenadines Sudan Suriname Svalbard and Jan Mayen Islands Sweden Switzerland Syrian Arab Republic Taiwan, China Tajikistan Tanzania Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Venezuela, RB Vietnam Virgin Islands (U.S.) West Bank and Gaza Western Sahara Yemen, Rep. Zambia Zimbabwe

No articles matched your search criteria

Can models correctly simulate crop failures caused by droughts and heatwaves?

Stefanie Heinicke
Global Model evaluation Agriculture

Are our crop models able to reproduce the drop in maize and soy yields at high temperatures as observed in the US?

Bernhard Schauberger, Sotirios Archontoulis, Almut Arneth, Juraj Balkovic, Philippe Ciais, Delphine Deryng, Joshua Elliott, Christian Folberth, Nikolay Khabarov, Christoph Müller, Thomas A. M. Pugh, Susanne Rolinski, Sibyll Schaphoff, Erwin Schmid, Xuhui Wang, Wolfram Schlenker, Katja Frieler
United States Model evaluation Extreme events Agriculture