<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Applying Recent Insights From Climate Risk Management to Operationalize the Loss and Damage Mechanism</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">T.</mods:namePart><mods:namePart type="family">Schinko</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R.</mods:namePart><mods:namePart type="family">Mechler</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>With the impacts of climate change already being felt across the globe, it is imperative to manage and avoid further irreversible loss and intolerable damage. Adaptive learning, linked to climate risk management (CRM) and building on principled socio-economic analysis, can help overcome substantial scientific and political challenges, and provide operational support for debate around the Warsaw International Mechanism (WIM) for Loss and Damage (L&amp;D).</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">2017-06</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Elsevier</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>