Assessing inter-sectoral climate change risks: the role of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP)

0 views

Formal Metadata

Title
Assessing inter-sectoral climate change risks: the role of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP)
Title of Series
Author
Rosenzweig, Cynthia
Arnell, Nigel W.
Ebi, Kristie L.
Lotze-Campen, Hermann
Raes, Frank
Rapley, Chris
Stafford Smith, Mark
Cramer, Wolfgang
Frieler, Katja
Reyer, Christopher P. O.
Schewe, Jacob
Vuuren, Detlef van
Warszawski, Lila
License
CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
DOI
Publisher
Institute of Physics (IOP)
Release Date
2017
Language
English
Producer
Lifson, Shari

Content Metadata

Subject Area
Abstract
The aims of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) are to provide a framework for the intercomparison of global and regional-scale risk models within and across multiple sectors and to enable coordinated multi-sectoral assessments of different risks and their aggregated effects. The overarching goal is to use the knowledge gained to support adaptation and mitigation decisions that require regional or global perspectives within the context of facilitating transformations to enable sustainable development, despite inevitable climate shifts and disruptions. ISIMIP uses community-agreed sets of scenarios with standardized climate variables and socio-economic projections as inputs for projecting future risks and associated uncertainties, within and across sectors. The results are consistent multi-model assessments of sectoral risks and opportunities that enable studies that integrate across sectors, providing support for implementation of the Paris Agreement under the United Nations Framework Convention on Climate Change.

Related Material

Video is accompanying material for the following resource
Loading...
I'm Cynthia Rosenzweig and the lead author of a multi authored paper in environmental research letters on assessing intersectoral climate-change risks the role of easing last December in 2015 nations of the world came together the agreed to hold back the temperature rise from pre-industrial times to 2 degrees C with an ambitious target of 1 comma decimal 5 degrees C what easing aims to do as we now move into the implementation phase of the Paris agreement it is to use
multimodal multi-cell Toral risk modeling to provide the best possible information for the mitigation and adaptation decisions going forward what kinds of questions
can easy may help but to answer
so that decision makers can really be better informed here some of the questions how can risks to be avoided for lesson by different levels of mitigation how this adaptation and mitigation impact the resilience of our societies around the world and globally play at the wrist from extreme events that in many cases are projected to be increasing with floods and droughts increasing already in many parts of the world and a key question that the U N framework convention on climate change has posed what is the actual difference between at 2 degrees temperature rise and 1 comma decimal 5 degrees temperature rise in terms of the poles mitigation activities and adaptation easing that brings together modelers across the impact sectors water ecosystems food coastal zones Health and others and then it focuses in particular to enable cross sectoral intersectoral interactions so some of those for example changes in river floods from the water system will effect changes in agricultural production because flooding is very bad for crops or for example sea-level rise will call cause loss of arable land in agricultural regions near the coast where easy it really is all about is facilitating and enabling the next step which is due the interactive sectoral Analyses how does
EasyNet work at the base it has modeling teams who know those the processes in the sectors 2nd so it's a community of practice of sectoral modeling groups and there is an example of 1 of the sector groups that participates in the easiness Agneta's the agricultural Model Intercomparison Project and the
agricultural modeling with an easy it is coordinated by Agnes
so finally this information that easy it provides is critical for the negation work that has to be undertaken in all around the world the adaptation work that has to be undertaken at the same time and the overall resilience of our systems and the goal of easing there is to provide the science space to contribute to the science base for those decisions
Loading...
Feedback

Timings

  438 ms - page object

Version

AV-Portal 3.9.2 (c7d7a940c57b22d0bc6d7f70d6f13fde2ef2d4b8)