Santiago Mendoza Paz’s Post

𝐇𝐨𝐰 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐚𝐬𝐬𝐞𝐬𝐬 𝐭𝐡𝐞 𝐫𝐢𝐬𝐤𝐬 𝐚𝐧𝐝 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐜𝐥𝐢𝐦𝐚𝐭𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐬? ⚙ KNOWING recently presented a model approach designed to assess the multi-sectoral effects of climate-resilient measures, specifically targeting flood risks in coastal cities over long time scales. This model is an integrated approach to calculating embodied carbon in the life cycle of adaptation solutions, providing a comprehensive assessment of strategies aligned with decarbonization targets. 💡 Key Highlights of the Presentation at International Association for Hydro-Environment Engineering and Research (IAHR): - System Dynamics Approach: Utilizes system dynamics thinking and tools to facilitate dialogue and decision-making on complex, interdisciplinary issues related to Climate Change Adaptation and Disaster Risk Reduction. - Holistic Assessment: Evaluates the relevance of territorial adaptation measures in a dynamic, cross-sectoral approach to understand the direct and indirect effects on urban and environmental systems. - Decarbonization Focus: Assesses the decarbonization capacity of adaptation measures, ensuring strategies contribute to climate neutrality goals. Thank You Università degli Studi di Napoli Federico II (UniNa) / University of Naples Federico II for presenting! 📈 KNOWING stands out for its commitment to developing a framework that quantifies interactions between climate change impacts and mitigation pathways. This project aims to: 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠: Provide public authorities, stakeholders, and citizens with decision support tools to enhance the understanding of complex interrelations. 𝐏𝐫𝐨𝐦𝐨𝐭𝐞 𝐂𝐥𝐢𝐦𝐚𝐭𝐞 𝐋𝐢𝐭𝐞𝐫𝐚𝐜𝐲: Offer educational and awareness services to diverse target groups, including policymakers, urban planners, and the general public. 𝐅𝐚𝐜𝐢𝐥𝐢𝐭𝐚𝐭𝐞 𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐀𝐝𝐚𝐩𝐭𝐚𝐭𝐢𝐨𝐧: Develop and implement climate mitigation pathways tailored to different regions, focusing on key climate impact contexts such as flooding, heatwaves, and soil fertility. ⚙ 𝐅𝐨𝐥𝐥𝐨𝐰 𝐮𝐬 𝐟𝐨𝐫 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐞𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐜𝐥𝐢𝐦𝐚𝐭𝐞 𝐦𝐢𝐭𝐢𝐠𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐚𝐝𝐚𝐩𝐭𝐚𝐭𝐢𝐨𝐧 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐬!

Heather Leslie asked if I would write a reflection about my recent experience working with a group of scientists to organize and write the report that is the scientific backbone for climate decision making in Maine. Think National Climate Assessment or IPCC comprehensive report, but for Maine--and we only had eight months! It was a monumental lift, and in the end, we have a document that has all the technical information, but can also be scanned in five minutes for the need-to-know science. I ended up thinking about what I learned, and would have like to have known from the beginning of the process. In this reflection, I hope my insights can be useful to anyone working on a collaboration across fields, sectors, and topics to generate a synthetic report. I want to open the door and demystify the climate reporting process, and invite others into these important tasks.

This opinion in Financial Times, citing the Climate Overchoot Commission, aligns with our pragmatic and approach to SRM governance and research. Read more here https://lnkd.in/etJAQKiy

Another quick update on the Queensland Future Climate resources…   The Climate Projections and Services team has released new high-resolution climate projections data covering all of Australia based on the latest CMIP6 climate models. The dataset includes 15 regional climate models and three emissions scenarios (SSP1-2.6, SSP2-4.5 and SSP3-7.0) to cover a range of plausible climate futures to inform climate risk assessments and policy development.   More information and instructions to access the data are available here - https://lnkd.in/eunq4_Ve.    The gridded data files in this release are suited to more technical users and applications. For the rest of us, the Queensland Future Climate Dashboard (https://lnkd.in/gh8EFcxd), Regional Explorer (https://lnkd.in/eCREYEyP) and other resources will be updated based on the CMIP6 data later this year.   This gridded dataset covers a broader Australasian region, and so extends to New Zealand, Papua New Guinea, and many Pacific island nations.

Knowledge brokers A role that has been emerging over the last few years is that of "Knowledge Broker" - a person that bridges between climate science, climate models, climate data and a stakeholder. This role has been, in my view, undervalued but the more we invest in these roles the better. In particular, a good knowledge broken helps stakeholders avoid misusing climate information, and feeds back to the scientists stakeholder needs that would make difference and that can influence the research being planned. I note a few organisations have invested in knowledge brokers. The National Environmental Science Program Climate Systems hub for example, and the ARC Centre of Excellence for Climate Extremes. Our knowledge broker - Angela Kaplish - has recently penned the following for The policymaker: https://lnkd.in/grM2ZjNJ Some of you will find it interesting. However, I would add one more thing to this - there are major roles out there (Knowledge Broker, data wrangler, data custodians, software engineers and there are more) that exist within projects but not in established positions that can develop long-term solutions to the partnering of researchers with stakeholders. I think this is creates a major vulnerability going forward that requires Universities, government research agencies and so on to update their career planning pathways.

Tools that communicate climate-related information to users are fast evolving. However, it is crucial that the quality of the provided information, along with economic, environmental and/or societal gains, is measured and verified to maximize societal benefits. A new study, involving an international team of researchers including from the CMCC, introduces a new framework to evaluate and verify these climate services, based on work from the H2020 CLARA project. Read more: https://ow.ly/4GgZ50SmYJQ

Modelling our future climate is crucial—it provides valuable insights to help us plan for and take action to better protect our people, communities, environment, and economy. It's challenging work, made possible only through international cooperation, research, massive computing power, and the gathering and sharing of knowledge by climate scientists worldwide. The Queensland Future Climate Science Program recently released high-resolution climate projections data for Australia using the latest generation of climate models (CMIP6). The dataset includes 15 regional climate models and 3 emissions scenarios—the most comprehensive set of high-resolution projections available for Australia. This data can be used to assess future climate risks and support planning that will protect our communities and way of life. Kudos to everyone in our Climate Projections & Services team—the work that you do helps ensure the long-term sustainability and resilience of Queensland's communities, ecosystems, and economy for generations to come. For more information and instructions on how to access the data, visit https://lnkd.in/gJbVkz47 The gridded data files suit more technical users. Our Queensland Future Climate portal (https://lnkd.in/gJbAgGhP) providing more flexible ways to query the data will be updated later this year. #climate #data #science

FYI - Updated climate modelling tool released. Via Dave Putland - "The Climate Projections and Services team has released new high-resolution climate projections data covering all of Australia based on the latest CMIP6 climate models. The dataset includes 15 regional climate models and three emissions scenarios (SSP1-2.6, SSP2-4.5 and SSP3-7.0) to cover a range of plausible climate futures to inform climate risk assessments and policy development.   More information and instructions to access the data are available here - https://lnkd.in/eunq4_Ve.    The gridded data files in this release are suited to more technical users and applications. For the rest of us, the Queensland Future Climate Dashboard (https://lnkd.in/gh8EFcxd), Regional Explorer (https://lnkd.in/eCREYEyP) and other resources will be updated based on the CMIP6 data later this."

Increasing global lake evaporation under climate change. Our new paper uses three different lake models driven by outputs from four global climate models, and three Representative Concentration Pathways (RCPs, different guesses about how emissions will change in the future), finding that by the end of the 21st century, global annual loss of water by evaporation from lakes including reservoirs will increase by 10-27% under RCPs 2.6-8.5. This is substantially higher than predicted by earlier studies. The increased loss of water is not made up for by a change in rainfall on lakes, resulting in net loss of water from lakes. If evaporation increases with no increase in precipitation, it is to be expected that many of the more shallow lakes will go dry. At the same time the paper assesses the effect of using different lake and climate models, which turns out to be substantial. The high variability among lake and climate models shows the importance of not relying on a single model. Nevertheless, all model combinations predicted increasing global lake evaporation. The paper was published in the Journal of Hydrology: https://lnkd.in/gnZFfRSp , written by Sofia La Fuente as the last chapter of her PhD thesis. Figure: Predicted increase in global evaporation from lakes, for RCPs 2.6, 6.0 and 8.5. Of these, RCP 6.0 appears at present the more likely scenario for the century.

I am delighted that this perspective paper as part of a World Climate Research Programme (WCRP) concept paper series is finally out! We argue that #impact understanding and modeling are the connector between #climate #science and #decision-making. The proposed framework comprises three pillars: climate science, impact science, and decision-making, focusing on generating #seamless climate #information from #subseasonal, #seasonal, #decadal to century timescales informed by observed climate events and their impacts. Using past impacts and iterative #knowledge gained through experience, combined with predictions and projections of #hazard, #exposure, and #vulnerability changes, and taking #uncertainty into account, decisions can be tailored to balance #risk and impact for each individual circumstance. In the perspective, we outline challenges and #opportunities in climate sciences, impact sciences, and decision-making, and provide a rich literature basis of current state-of-the-art science as was presented at the last WCRP open science conference. 👇 https://lnkd.in/gYCsHk5Q Tim Raupach Erich Fischer Carlo Buontempo Ed Hawkins Marjolijn Haasnoot Prof. Dr. Daniela Jacob Alex Ruane Christian Franzke Dr. Leonard Borchert Josipa Zupanic Narelle van der Wel Lincoln Alves Center for Earth System Research and Sustainability (CEN)