--- title: "Climate Science" slug: "climate-science" discipline: "Earth Science / Environmental" description: "Climate change research, modeling, and mitigation. Covers atmospheric science, carbon capture, climate modeling, tipping points, and adaptation strategies." icon: "🌍" url: "https://science-database.com/technology/climate-science" api: "https://science-database.com/api/v1/technology/climate-science" llms_txt: "https://science-database.com/technology/climate-science/llms.txt" articles_indexed: 15 last_updated: "2026-09-08T05:21:19.663Z" search_terms: - "climate change modeling prediction" - "carbon capture sequestration" - "climate tipping points feedback" source: "science-database.com" license: "metadata CC0, abstracts belong to respective publishers" --- # Climate Science Climate change research, modeling, and mitigation. Covers atmospheric science, carbon capture, climate modeling, tipping points, and adaptation strategies. **Discipline:** Earth Science / Environmental **Indexed Papers:** 15 **Last Updated:** 2026-09-08 ## Top Publications Ranked by citation impact across Semantic Scholar, OpenAlex & arXiv. ### An Overview of CMIP5 and the Experiment Design - **Authors:** Karl E. Taylor, Ronald J. Stouffer, Gerald A. Meehl - **Journal:** Bulletin of the American Meteorological Society - **Published:** 2011-10-07 - **DOI:** [10.1175/bams-d-11-00094.1](https://doi.org/10.1175/bams-d-11-00094.1) - **Citations:** 14,815 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://journals.ametsoc.org/downloadpdf/journals/bams/93/4/bams-d-11-00094.1.pdf) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2024966118/llms.txt) > The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented i... ### Climate Change 2022 – Impacts, Adaptation and Vulnerability - **Authors:** Intergovernmental Panel on Climate Change - **Journal:** Cambridge University Press eBooks - **Published:** 2023-06-22 - **DOI:** [10.1017/9781009325844](https://doi.org/10.1017/9781009325844) - **Citations:** 8,215 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://www.cambridge.org/core/services/aop-cambridge-core/content/view/ED03547F55DC52E331FE751F53C8709F/stamped-9781009325837pre1_i-ii.pdf/frontmatter.pdf) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W4382362038/llms.txt) > The Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the scientific literature relevant to climate change impacts, adaptation and vulnerability. The report recognizes the interactions of climate, ecosystems and biodiversity, and human societies, and integrates across the natural, ecological, ... ### Predictive habitat distribution models in ecology - **Authors:** Antoine Guisan, Niklaus E. Zimmermann - **Journal:** Ecological Modelling - **Published:** 2000-12-01 - **DOI:** [10.1016/s0304-3800(00)00354-9](https://doi.org/10.1016/s0304-3800(00)00354-9) - **Citations:** 7,378 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2120160157/llms.txt) ### Temperature sensitivity of soil carbon decomposition and feedbacks to climate change - **Authors:** Eric A. Davidson, Ivan A. Janssens - **Journal:** Nature - **Published:** 2006-03-01 - **DOI:** [10.1038/nature04514](https://doi.org/10.1038/nature04514) - **Citations:** 7,046 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://www.nature.com/articles/nature04514.pdf) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2083857556/llms.txt) ### The NCEP Climate Forecast System Reanalysis - **Authors:** Suranjana Saha, Shrinivas Moorthi, Hua‐Lu Pan, Xingren Wu, Jiande Wang, Sudhir Nadiga, Patrick Tripp, Robert Kistler, John S. Woollen, David W. Behringer, Haixia Liu, Diane Stokes, Robert Grumbine, George Gayno, Jun Wang, Yu-Tai Hou, Hui-Ya Chuang, Hann‐Ming Henry Juang, Joe Sela, Mark Iredell, R. Treadon, Daryl Kleist, Paul van Delst, Dennis A. Keyser, John Derber, Michael Ek, Jesse Meng, Helin Wei, Rongqian Yang, Stephen J. Lord, Huug van den Dool, Arun Kumar, Wanqiu Wang, Craig S. Long, Muthuvel Chelliah, Yan Xue, Boyin Huang, Jae-Kyung E. Schemm, Wesley Ebisuzaki, Roger Lin, Pingping Xie, Mingyue Chen, Shuntai Zhou, W. Higgins, Cheng‐Zhi Zou, Quanhua Liu, Yong Chen, Yong Han, LĂ­dia Cucurull, Richard W. Reynolds, G. Rutledge, Mitch Goldberg - **Journal:** Bulletin of the American Meteorological Society - **Published:** 2010-04-22 - **DOI:** [10.1175/2010bams3001.1](https://doi.org/10.1175/2010bams3001.1) - **Citations:** 5,330 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W1974038018/llms.txt) > The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010. The CFSR was designed and executed as a global, high-resolution coupled atmosphere–ocean–land surface–sea ice system to provide the best estimate of the state of these coupled domains over this period. The current CFSR will be extended as an operational, real-time product into ... ### Climate Change 2014 - Synthesis Report - **Authors:** Intergovernmental Panel on Climate Change - **Published:** 2015-04-30 - **DOI:** [10.59327/ipcc/ar5-9789291691432](https://doi.org/10.59327/ipcc/ar5-9789291691432) - **Citations:** 5,323 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://www.ipcc.ch/site/assets/uploads/2018/02/SYR_AR5_FINAL_full.pdf) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2513922847/llms.txt) > The Synthesis Report (SYR) distils and integrates the findings of the three Working Group contributions to the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC), the most comprehensive assessment of climate change undertaken thus far by the IPCC: Climate Change 2013: The Physical Science Basis; Climate Change 2014: Impacts, Adaptation, and Vulnerability; and Cli... ### Impacts of climate change on the future of biodiversity - **Authors:** CĂ©line Bellard, ClĂ©o Bertelsmeier, Paul Leadley, Wilfried Thuiller, Franck Courchamp - **Journal:** Ecology Letters - **Published:** 2012-01-18 - **DOI:** [10.1111/j.1461-0248.2011.01736.x](https://doi.org/10.1111/j.1461-0248.2011.01736.x) - **Citations:** 4,257 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/j.1461-0248.2011.01736.x?download=true) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2154433795/llms.txt) > Many studies in recent years have investigated the effects of climate change on the future of biodiversity. In this review, we first examine the different possible effects of climate change that can operate at individual, population, species, community, ecosystem and biome scales, notably showing that species can respond to climate change challenges by shifting their climatic niche along three non... ### Changes in precipitation with climate change - **Authors:** Kevin E. Trenberth - **Journal:** Climate Research - **Published:** 2010-11-25 - **DOI:** [10.3354/cr00953](https://doi.org/10.3354/cr00953) - **Citations:** 3,871 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://www.int-res.com/articles/cr_oa/c047p123.pdf) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2328573691/llms.txt) > There is a direct influence of global warming on precipitation.Increased heating leads to greater evaporation and thus surface drying, thereby increasing the intensity and duration of drought.However, the water holding capacity of air increases by about 7% per 1°C warming, which leads to increased water vapor in the atmosphere.Hence, storms, whether individual thunderstorms, extratropical rain or ... ### The Potential to Narrow Uncertainty in Regional Climate Predictions - **Authors:** Ed Hawkins, Rowan Sutton - **Journal:** Bulletin of the American Meteorological Society - **Published:** 2009-04-01 - **DOI:** [10.1175/2009bams2607.1](https://doi.org/10.1175/2009bams2607.1) - **Citations:** 2,817 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W1996653992/llms.txt) > Faced by the realities of a changing climate, decision makers in a wide variety of organizations are increasingly seeking quantitative predictions of regional and local climate. An important issue for these decision makers, and for organizations that fund climate research, is what is the potential for climate science to deliver improvements—especially reductions in uncertainty—in such predictions?... ### Beyond Predictions: Biodiversity Conservation in a Changing Climate - **Authors:** Terence P. Dawson, Stephen T. Jackson, Joanna I. House, I. Colin Prentice, Georgina M. Mace - **Journal:** Science - **Published:** 2011-03-31 - **DOI:** [10.1126/science.1200303](https://doi.org/10.1126/science.1200303) - **Citations:** 2,001 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2117930979/llms.txt) > Climate change is predicted to become a major threat to biodiversity in the 21st century, but accurate predictions and effective solutions have proved difficult to formulate. Alarming predictions have come from a rather narrow methodological base, but a new, integrated science of climate-change biodiversity assessment is emerging, based on multiple sources and approaches. Drawing on evidence from ... ### Validation of species–climate impact models under climate change - **Authors:** Miguel B. AraĂșjo, Richard G. Pearson, Wilfried Thuiller, Markus Erhard - **Journal:** Global Change Biology - **Published:** 2005-07-19 - **DOI:** [10.1111/j.1365-2486.2005.01000.x](https://doi.org/10.1111/j.1365-2486.2005.01000.x) - **Citations:** 1,605 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2140534668/llms.txt) > Abstract Increasing concern over the implications of climate change for biodiversity has led to the use of species–climate envelope models to project species extinction risk under climate‐change scenarios. However, recent studies have demonstrated significant variability in model predictions and there remains a pressing need to validate models and to reduce uncertainties. Model validation is probl... ### Comparing niche‐ and process‐based models to reduce prediction uncertainty in species range shifts under climate change - **Authors:** Xavier Morin, Wilfried Thuiller - **Journal:** Ecology - **Published:** 2009-05-01 - **DOI:** [10.1890/08-0134.1](https://doi.org/10.1890/08-0134.1) - **Citations:** 495 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2088571921/llms.txt) > Obtaining reliable predictions of species range shifts under climate change is a crucial challenge for ecologists and stakeholders. At the continental scale, niche-based models have been widely used in the last 10 years to predict the potential impacts of climate change on species distributions all over the world, although these models do not include any mechanistic relationships. In contrast, spe... ### Climate Change and Risk of Leishmaniasis in North America: Predictions from Ecological Niche Models of Vector and Reservoir Species - **Authors:** Camila GonzĂĄlez, Ophelia Wang, Stavana E. Strutz, Constantino GonzĂĄlez‐Salazar, VĂ­ctor SĂĄnchez‐Cordero, Sahotra Sarkar - **Journal:** PLoS neglected tropical diseases - **Published:** 2010-01-19 - **DOI:** [10.1371/journal.pntd.0000585](https://doi.org/10.1371/journal.pntd.0000585) - **Citations:** 356 - **Source:** OpenAlex - **Access:** Open Access - **PDF:** [Download](https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0000585&type=printable) - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2008384755/llms.txt) > BACKGROUND: Climate change is increasingly being implicated in species' range shifts throughout the world, including those of important vector and reservoir species for infectious diseases. In North America (MĂ©xico, United States, and Canada), leishmaniasis is a vector-borne disease that is autochthonous in MĂ©xico and Texas and has begun to expand its range northward. Further expansion to the nort... ### Should we believe model predictions of future climate change? - **Authors:** Reto Knutti - **Journal:** Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences - **Published:** 2008-09-25 - **DOI:** [10.1098/rsta.2008.0169](https://doi.org/10.1098/rsta.2008.0169) - **Citations:** 291 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2112933898/llms.txt) > Predictions of future climate are based on elaborate numerical computer models. As computational capacity increases and better observations become available, one would expect the model predictions to become more reliable. However, are they really improving, and how do we know? This paper discusses how current climate models are evaluated, why and where scientists have confidence in their models, h... ### Genetically informed ecological niche models improve climate change predictions - **Authors:** Dana H. Ikeda, Tamara Max, Gerard J. Allan, Matthew K. Lau, Stephen M. Shuster, Thomas G. Whitham - **Journal:** Global Change Biology - **Published:** 2016-08-20 - **DOI:** [10.1111/gcb.13470](https://doi.org/10.1111/gcb.13470) - **Citations:** 236 - **Source:** OpenAlex - **llms.txt:** [View](https://science-database.com/technology/climate-science/paper/oa-W2515542550/llms.txt) > We examined the hypothesis that ecological niche models (ENMs) more accurately predict species distributions when they incorporate information on population genetic structure, and concomitantly, local adaptation. Local adaptation is common in species that span a range of environmental gradients (e.g., soils and climate). Moreover, common garden studies have demonstrated a covariance between neutra... --- *Generated by [science-database.com](https://science-database.com) — The Knowledge Interface* *Full data available via [JSON API](https://science-database.com/api/v1/technology/climate-science)*