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Ines Gendre

After graduating in 2016 with a master’s degree in marketing, Ines began her career in project management. However she soon decided to turn towards writing, to bring her core competencies to the service of societal changes. First working as a freelance copywriter, she joined Greenly in early 2022 to help fight global warming.

Matthieu Vegreville

Matthieu is a 28 year-old graduate engineer from Ecole Polytechnique and Télecom Paris, with a background in data science at Withings. While there, he worked on watch activity detection algorithms, and developed a health study activity so that connected objects could be used to better monitor certain pathologies. He has long been involved in data science projects with his brother, who has the same training. Faced with the urgency of the climate crisis, he decided to put his know-how at the service of the environment. 

After seeking opportunities to put her various creative passions to good use, she joined Greenly in mid 2022 as SEO copywriter for the U.S. blog to provide her American perspective on the climate change issues we face today.

Stephanie Safdie - Greenly

Stephanie completed a bachelor's degree in English & Multimedia in 2020 at the University of Maryland College Park. She previously worked as a social media content video creator and freelance copywriter. After seeking opportunities to put her various creative passions to good use, she joined Greenly in mid 2022 as SEO copywriter for the U.S. blog to provide her American perspective on the climate change issues we face today. 

Kara joined the team at Greenly in 2023 as SEO copywriter for the UK market.

Kara Anderson - Greenly

Kara studied her bachelors of law at the University of Glasgow and her masters in international law at the University of Aberdeen, before looking for a more creative career path. She found this in advertising, working as a content manager in London. After a move to Paris in 2019 she decided to switch to freelance copywriting in order to scratch her creative itch. Kara joined the team at Greenly in 2023 as SEO copywriter for the UK market.  

Arnaud Delubac

Arnaud, 26 years old, trained as a designer and in digital communication at INSEEC before joining the Master Entrepreunariat at ESSEC-CentraleSupélec. Passionate about social media since his teenage years, he has created some of the biggest Twitter communities in France before joining the digital communication team of the Prime Minister’s office in Matignon. It was at the Secretaries of State for Digital, Mounir Mahjoubi and Cédric O, where Arnaud directly managed the team, that he developed a strong conviction for the need to use technology to bring awareness to the greatest causes of our time.

Alexis Normand

Alexis is a 37 year-old graduate of HEC and Sciences-Po. After his studies, he spent 2 years working in public policy consulting. He then spent 6 years at Withings, a leading company in connected objects. While there, he continued the companies operations in Boston, USA, and created the company’s health department. After the company was bought by Nokia, he joined the startup Embleema by working through Techstars, one of the best startup incubators in the United States, where he developed a taste for entrepreneurship. His return to France was an opportunity to put all his experience at the service of the environment, during a crucial moment in the climate crisis.

Justine Dumont

Justine a toujours été passionnée de lecture et d’écriture. En 2019, elle parvient justement à faire de sa passion son métier, en devenant rédactrice web indépendante. Motivée par ses engagements écologiques, elle rejoint l’équipe de Greenly en 2022 afin de mettre ses compétences au service de la cause environnementale. 

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IPCC AR6: 5 questions to understand Chapter 9

If we want to understand the impact of climate change, we first have to understand how the characteristics of these models conclude the negative environmental effects of climate change. Here are 5 questions to understand how.

<h2 id="">📊 Why do we use climate models?</h2><p id="">Scientists use climate models to research the future projects of climate change and predict what can be done in the future to prevent further environmental damage.&nbsp;</p><p id="">Climate models are imperative in order to adjust current climate change mitigation strategies to the most effective and appropriate preventative plan. These climate change prevention strategies should be adjusted according to the area and current projection of each individual climate model.&nbsp;&nbsp;</p><p id="">Previous climate models are also measured and evaluated in order to improve upon previous strategies put in place to prevent further pollution. In order to successfully refine one’s climate change mitigation strategy – one must be well informed on the quantitative and qualitative data that is provided, given that many times a climate model can only provide an observational estimate. Therefore, intellectual inferences must be made in order to create the best possible, next climate model.&nbsp;</p><p id="">Whenever an hypothesis isn’t viable or conducive to create a climate model change, authorities should refer to comparing and contrasting between the previous and current models in order to decipher or conclude the best possible model given any numerical data that might be missing from the current climate model.</p><p id="">‍</p><figure id="" class="w-richtext-figure-type-image w-richtext-align-center" data-rt-type="image" data-rt-align="center"><div id=""><img src="https://uploads-ssl.webflow.com/6232f79b68d15d3d9b69c096/62bef6a82724437eb4e7144f_bAkKdyuZtG-FjvUO0FyCMnHt6i9zgs4vGLNyjABJ9FhrSed84dZJHzR0A2lb4pEt3GkXV1fgL6BDjqPxslmPGLFscX5pSH8krY6ap3p8lLh51D9HhPSURrMVATFkl8leVrH7rE9Z7csiSIkf_jc.jpeg" id="" width="auto" height="auto" loading="auto"></div></figure><p id="">‍</p><h2 id="">🌧️ What models need to be evaluated?</h2><p id="">A wide variety of climate models need to be evaluated in order to address each component necessary to improve the current climate model and global warming predicament. These climate models can measure energy consumption by observing patterns of the Earth’s behavior that will impact the weather. ☂️</p><p id="">These climate models use paleoclimate techniques, energy balancing mechanisms, and compare previous climate models in order to address the current climate issue and predict future climate predicaments.&nbsp;</p><p id="">However, the technical cost required for all the different models to operate simultaneously and successfully – a more time consuming process is required for ultimate efficacy.&nbsp;</p><p id="">For instance, discerning parameter sensitivity or simulations regarding climate change takes over a thousand years to accurately accumulate useful information.&nbsp;</p><p id="">Specific climate models include the Atmosphere-Ocean General Circulation Models (AOGCMs), Earth System’ Models (ESMs), Regional Climate Models (RCMs), and Earth System Models of Intermediate Complexity (EMICs). Each of these models need to be adequately utilized each quarter of the year in order to yield decedal reports, which are ultimately more useful than<a href="https://www.greenly.earth/blog-en/carbon-emissions-what-you-need-to-know" id=""> carbon emission</a> reports for each century.&nbsp;</p><p id="">Honestly, we don’t have a hundred years to instill corrective action to avoid further climate change or environmental damage to the planet. 😬</p><p id="">However, if these climate models are used expansively, and run every decade instead of every one hundred years – there may be more substantial hope for a better future and life on Earth. 🌎</p><p id="">All of the models need to be equally evaluated in order for the overall climate model to yield the appropriate data to provoke the need to employ new environmental measures to reduce <a href="https://www.greenly.earth/blog-en/carbon-footprint-definition-method-calcul" id="">carbon footprint</a> and climate change. 🌡️</p><p id="">Without the evaluation of all the models, the proper action necessary to instill novel action to alleviate future environmental damage will not be as efficacious as it could be with all the data provided from each individual model.&nbsp;</p><p id="">‍</p><h2 id="">🔨 How are climate models developed?</h2><p id="">Climate models are developed after deciphering the numerical data of previous climate models. It is often compulsory to create the new climate models with the intent to improve upon the previous climate model and is contingent on the most recent data.</p><p id="">Developing new climate models isn’t possible without consistently referring to the previous climate model.&nbsp;</p><p id="">However, climate models aren’t designed solely based on previous data from older climate models – it is also necessary to make an educated guess to develop a conceptual model that could aid the particular environmental sector in question.</p><p id="">In order to assemble an effective climate model, it is necessary to observe both quantitative data as well as implicit data to develop a model.&nbsp;</p><p id="">For example, a climate model specializing in the atmosphere can be quantified through measuring the temperature of the ground, ocean, or agricultural components, and then improved through reasonable inference – such as inferring future industrialization projects that could impact the atmospheric temperature as well.</p><p id="">Finally, the climate model will be evaluated as a whole for efficacy after taking both numerical data and hypothetical, but justifiable – factors into consideration.</p><p id="">This process, where climate models often need to be adjusted – is called model tuning.&nbsp;</p><p id="">‍</p><figure id="" class="w-richtext-figure-type-image w-richtext-align-center" data-rt-type="image" data-rt-align="center"><div id=""><img src="https://uploads-ssl.webflow.com/6232f79b68d15d3d9b69c096/62bef6a883460938a9f31536_8wPpU5TVpAZ-4XWDZ3_lyv7l8dpRNlW2misgKP7SQairoREqwXDS_Wq2CZx_OahdZ1MFmqx6_R_xsu8hOchunWNgiDNYpxuPbTSjrugUu3UdB13wLzJdzRaqwCTNRlD_t-pFTezg0tKWOrOiByw.jpeg" id="" width="auto" height="auto" loading="auto"></div></figure><p id="">‍</p><h2 id="">🤓Have climate models improved since their initial release?</h2><p id="">Recent data has shown that climate models have since increased their accuracy and ability to calculate various climate variables. Specific improvements include measuring surface temperature, precipitation, and air temperature. 🌡️</p><p id="">Also, new Earth System’ Models (ESMs) can now accurately predict the annual cycle of carbon dioxide emissions in the atmosphere. Also, climate models can now offer improved information that allows for a better understanding of extreme weather caused by climate change. ☀️</p><p id="">‍</p><h2 id="">⬆️ How can we further improve climate models?</h2><p id="">Can climate models get even better?</p><p id="">As with anything in life, there is always room for improvement – even with climate models as technology continues to expand at a never-before-seen rapid pace.&nbsp;</p><p id="">Also, climate models could strive to reduce any repetitive performance metrics so that future climate models can report more cohesively and elicit a more comprehensive plan to prevent further climate change.&nbsp;</p><p id="">Many climate models have trouble reading the average temperature of the Atlantic Ocean, precipitation cycles, and cloud patterns. Sometimes, the results from climate models align with weather forecasts – but the data that isn’t numerical isn’t substantial enough to deem it effective or useful to alter current habits that produce a large carbon footprint. 👣</p><p id="">In short, climate models could strive to increase their numerical accuracy so that the implicit data provided isn’t the primary factor that authorities use to justify current or future preventative climate change actions.&nbsp;</p><p id="">‍</p><figure id="" class="w-richtext-figure-type-image w-richtext-align-center" data-rt-type="image" data-rt-align="center"><div id=""><img src="https://uploads-ssl.webflow.com/6232f79b68d15d3d9b69c096/62bef6a8fb3c2ca2029befb1_tWtDWwDiaOUyfdgeOH0GzymdkampZjdjAX31Xcal1biJv3Nwu9ZvURMpqX-7MsZOgoNs52lIEQmF19Wye91ij5daSiMAqn1RoYMb1579GtMXAFdD4g1urcfl_F2f7PeffQB3_zgR7YRJEqgZpsM.jpeg" id="" width="auto" height="auto" loading="auto"></div></figure><p id="">‍</p><h2 id="">🔍 What do you need to remember?</h2><p id="">Climate models are evaluated by recognizing the flaws of each particular model’s weaknesses. This encourages those who develop future climate models to improve accuracy, but it is important to note that climate models have proven themselves to be quite successful in measuring previous factors of climate change.&nbsp;</p><p id="">Any errors or pre-dispositions calculated by a climate model are often insignificant in comparison to the overall picture the climate model provides. Climate models ultimately provide an accurate representation of current discrepancies in our climate, and the climate changes yet to come.&nbsp;</p><p id="">‍</p><h2 id="">🍀 What about Greenly?</h2><p id="">Your company/organization can also do its part.<a href="https://www.greenly.earth/en-us/demo" id=""> Call our experts</a> and ask for your carbon assessment!</p><p id="">‍</p><p id=""><strong id="">🚀 if you enjoyed reading this article, here are a few more :</strong></p><ul id=""><li id=""><a href="https://www.greenly.earth/blog-en/ipcc-ar6-5-questions-to-understand-chapter-10" id="">IPCC AR6: 5 questions to understand Chapter 10</a></li><li id=""><a href="https://www.greenly.earth/blog-en/carbon-accounting-all-you-need-to-know-in-2022" id="">Carbon accounting: all you need to know in 2022</a></li><li id=""><a href="https://www.greenly.earth/blog-en/eu-ets-all-you-need-to-know-about-the-carbon-market-reform" id="">EU ETS: all you need to know about the carbon market reform</a></li><li id=""><a href="https://www.greenly.earth/blog-en/how-can-companies-help-to-save-the-earth" id="">How can companies help to save the Earth?</a></li><li id=""><a href="https://www.greenly.earth/blog-en/esg-investing-meaning-and-trends" id="">ESG investing: meaning and trends</a>‍<br></li></ul><p id=""><br></p>

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