ESG DATA PRODUCT DESCRIPTION

This ESG dataset offers comprehensive coverage of corporate energy management across thousands of global companies. Our data captures detailed patterns of energy consumption, production, and distribution, providing granular insights into various energy types—including electricity and heat—and the technologies (e.g. solar PV, hydropower...) and sources (e.g. biofuels, coal, natural gas...) utilized. With thorough information on renewability and rigorous standardization of every energy metrics, this dataset enables precise benchmarking, cross-sector comparisons, and strategic decision-making for sustainable energy practices.

Built on precision and transparency, the energy dataset adheres to the highest standards of ESG data quality. Every data point is fully traceable to its original source, ensuring unmatched reliability and accuracy. The dataset is continuously updated to capture the most current and complete information, including revisions, new disclosures, and regulatory updates.

ESG DATA PRODUCT CHARACTERISTICS

• Company Coverage:              5,000+ companies • Geographical Coverage:       Global • Sectorial Coverage:                All sectors • Data Historical Range:           2014 - 2024 • Median Data History:             5 years • Data Traceability Rate:           100% • Data Frequency:                     Annual • Average Reporting Lag:         3 months • Data Format:                            Most Recent/Point-in-Time

UNIQUE DATA VALUE PROPOSITION

Uncompromised Standardization

When company energy data do not align with standard energy reporting frameworks, our team of environmental engineers meticulously maps the reported figures to the correct energy types and flow categories. This guarantees uniformity and comparability across our dataset, bridging the gap created by diverse reporting formats.

Precision in Every Figure

Our advanced cross-source data precision matching algorithm ensures that the most accurate energy metrics are always delivered. For instance, an exact figure like 12,510,545 Joules is prioritized over a rounded figure like 12mio, reflecting our dedication to precision and detail.

Unbiased Data Integrity

Our approach is grounded in delivering energy data exactly as reported by companies, without making inferences or estimates for undisclosed data. This strict adherence to factual reporting ensures the integrity of the data you receive, providing an unaltered and accurate view of corporate emissions.

End-to-End Data Traceability

Every energy data point is directly traceable to its original source, complete with page references and calculation methodologies. This level of detail ensures the reliability and verifiability of our data, giving you complete confidence in our energy dataset.

Full-Scope Boundary Verification

We tag energy figures that do not cover a company's entire operational boundaries with an 'Incomplete Boundaries' attribute. This transparency ensures that any potential limitations are clearly communicated, enhancing the comparability of our energy data.

USE CASES

Asset Management

Asset Management firms use energy data to benchmark portfolio companies against industry standards, ensuring alignment with net-zero goals and regulatory frameworks like SFDR and TCFD. They assess energy transition risks, track renewable energy adoption, and develop sustainable investment products focused on energy efficiency and climate-conscious innovation.

Financial Institutions & Banking

Financial Institutions & Banking integrate energy data into credit risk assessments and sustainability-linked loans, ensuring borrowers meet renewable energy targets. They also enhance due diligence processes, comply with climate disclosure regulations, and validate green bond frameworks with precise renewable energy metrics.

FinTech

FinTech companies leverage energy data to automate regulatory reporting, power energy management analytics, and develop APIs that assess corporate climate risk. They also build sustainable investment tools that enable investors to prioritize companies excelling in energy efficiency and renewability.

GreenTech & ClimateTech

GreenTech & ClimateTech firms use predictive energy analytics to model energy transition risks and renewable adoption trends. They optimize supply chains, facilitate renewable energy procurement, and assess the environmental and financial impacts of energy investments, supporting PPAs and carbon credit markets.

Corporates

Corporates rely on energy data for performance benchmarking, renewable energy procurement, and transition planning. By analyzing detailed energy consumption and sourcing metrics, they optimize sustainability strategies and improve energy efficiency.

Professional Services & Consulting

Professional Services & Consulting firms use energy data to advise on energy transitions, regulatory complia...

Utilize 700+ impact metrics to assess the value chain impact of business activities, analyze impact using ESG data from corporate sustainability disclosures, and conduct impact assessments on over 200k+ global controversies.

Our metrics provide sustainability data on important corporate ESG issues using:

• Modelled data for an assessment of business's value chain impact on emissions, land and water use, resource use, pollution, consumers health and safety, and broader community impacts.

• Scores that reflect the comprehensiveness of corporate sustainability policies, targets and practices. This assessment is conducted using corporate disclosures and analyzes ESG impact across key sustainability themes such as biodiversity, corporate governance, supply chain labour practices, human rights and more.

Each score has underlying features utilized for its assessment which help differentiate impact. For example, our scoring of a company's GHG emissions reduction target is enhanced by the scope of the target (targets which aim to reduce Scope 1, 2, and 3 emissions that are SBTi verified will be rated better than targets that aim to reduce only one of the scopes). All underlying features and data snippets from corporate disclosures are available as detailed reports.

• Impact analysis of ESG controversies from over 200k global sources which helps screen through the noise of published news and highlights material ESG controversies. The scoring of each controversy from low to high impact is done by ESG experts using features such as scale of impact, duration of impact, stakeholders affected, etc.

All our sustainability data is available alongside detailed reports which provides full transparency into the corporate disclosures, news data and analysis used for each score, along with source snippets. This helps simplify the ESG research that feeds into your own ESG models.

All our sustainability data leads to ESG impact scores from A+ to D- with a transparent methodology and sector-specific weights to simplify investment analysis. Integrate our vast ESG database and research into your own sustainable investment models and utilise our scores for an indicative assessment of sustainability performance.

The S&P Global ESG Scores package provides access to granular sustainability-related data points collected as part of the S&P Global Corporate Sustainability Assessment (CSA) from public and additional disclosures.

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Investor ESG Software Market Size 2025-2029

The investor ESG software market size is forecast to increase by USD 976 million, at a CAGR of 15.7% between 2024 and 2029.

The market is experiencing steady growth due to the increasing volumes of corporate data. This data necessitates the use of advanced software solutions to analyze and manage ESG information effectively. A significant trend in this market is the integration of analytics into investor ESG software, enabling more accurate and insightful ESG assessments.
However, the high initial capital investments needed for these solutions can pose a challenge for smaller organizations. However, the advantages of using investor ESG software, including better risk management, enhanced reputation, and greater investor appeal, make it a valuable investment for businesses aiming to remain competitive in today's socially aware market.

What will be the Investor ESG Software Market Size During the Forecast Period?

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ESG software has emerged as a crucial tool for organizations to manage and report on their sustainability programs, focusing on ethical practices, diversity, carbon emissions, and other environmental impacts. The market for ESG software is witnessing significant growth as large enterprises and Small and Medium-sized Enterprises (SMEs) increasingly recognize the importance of transparency and accountability in their operations. ESG software enables organizations to streamline their reporting processes, providing accurate and timely data to stakeholders. Cloud deployment has become a popular choice for ESG software due to its flexibility and scalability.
This technology allows organizations to access real-time data and analytics, enabling them to make informed decisions and respond quickly to changing market conditions. ESG reporting software is no longer a nicety but a necessity in today's business landscape. It enables organizations to demonstrate their commitment to sustainability and ethical practices, enhancing their reputation and attracting investors. The finance sector, in particular, has shown a growing interest in ESG data, with an increasing number of investors integrating ESG considerations into their investment decisions. In conclusion, ESG software plays a vital role in helping organizations manage their sustainability programs and report on their environmental impact, diversity, and ethical practices.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Software
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  APAC

    China
    India
    Japan
    South Korea


  Europe

    Germany
    UK
    France


  South America

    Brazil


  Middle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The market has witnessed significant growth due to the increasing importance of sustainability and responsible investing. Software solutions enable efficient collection, analysis, and reporting of ESG data, assisting investors in evaluating a company's ESG performance. This information is crucial for making informed investment decisions that align with moral and environmental standards. The software industry responds with advanced ESG software, offering features such as data integration, predictive analytics, and visualization. As ESG concerns become increasingly essential in investment strategies, the software market continues to expand, providing a vital platform for global ESG transparency and compliance with evolving regulations. ESG practices, including resource management, carbon footprint reduction, and stakeholder engagement, are integrated seamlessly into investment strategies through these solutions. Amidst economic uncertainties, cost efficiency remains a priority, making cloud-based and IoT sensor-enabled ESG software increasingly popular.

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The software segment was valued at USD 344.50 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 40% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America, with the US as a leading contributor, is experiencing significant growth due to increasing regulatory requirements and investor p

As of 2024, Hewlett Packard Enterprise Company was placed in the number-one spot by the JUST Capital annual survey. This survey reviews America’s largest publicly traded companies in relation to environmental, social, and corporate governance (ESG) responsibility. The survey operated a sample group of over 3,000 respondents, revising five major categories each carrying a different weight. Upon gathering the public opinion of leading publicly traded firms, data was evaluated in relevance to the weighted importance of each ESG category. Bank of America Corp. took the second place spot in the overall company rankings, receiving 106 points in the highest weighted category, "workers". Evolving investor criteria When reviewing ESG drivers, institutional investors placed significant weight on ESG ratings when making investment choices. While regional taxonomy alignment had minimal impact, ESG ratings emerged as the top factor influencing investment decisions. This shift has indicated a growing sophistication in how investors evaluate companies' sustainability efforts. Interestingly, many investors have developed their own ESG rating criteria when evaluating financial securities, such as ETFs, demonstrating a desire for more tailored and nuanced assessments of corporate responsibility. Consumer preferences driving change The impact of ESG factors has extended beyond the investment world, significantly influencing consumer behavior, particularly among younger demographics. For instance, over 40 percent of Gen Z Hispanics in the U.S. consider eco-friendly packaging a key factor in their purchasing decisions. This trend, along with concerns about animal welfare, natural products, and fair labor practices, highlights the growing importance of ESG considerations in shaping market demand. As consumers and investors increasingly prioritize these factors, companies will likely face pressure to improve their ESG performance to remain competitive.

This dataset encompasses empirical data on the impact of intelligent manufacturing(IM) on corporate ESG performance (ESG) across A-share listed companies in Shanghai and Shenzhen from 2009 to 2022 as the research sample.

Norway was the third-highest ranking country worldwide by overall Environmental, Social, and Governance (ESG) score. Finland ranked second overall with a score of 97. Denmark was the highest-ranking country worldwide, scoring an ESG rating of 98.8.

The global investor ESG software market size was valued at nearly USD 620.1 Million in 2022 and is anticipated to reach USD 2094.2 Million by 2031, expanding at a CAGR of 14.9% during the forecast period, 2023–2031. The growth of the market is attributed to growing government initiatives worldwide for promoting ESG investments.



Investor ESG software provides comparable Key Performance Indicators (KPIs) that present significant pointers in complex investment decision-making. Ecological footprints complied by businesses are analyzed by investor ESG software. Green House Gas Protocol (GHGP), LGBTQ rights, gender equality, carbon footprints, and supply chain ethics adhered to by corporate are evaluated by Investor ESG software. The findings of these evaluations provide investors with accurate matrices that back their investment decisions.

Leading service providers of ESG reporting software make use of artificial intelligence for identifying high-risk areas for investors. Specific actions are suggested for precise investment decisions. ESG software is automated, which reduces the risk of human errors in accurate analytical findings. ESG software findings provide comprehensive solutions composed of several modules used for EHS (Environment, Health, and Safety), risk management, sustainability consulting and management, and regulatory compliance.



The market report finds that the COVID-19 pandemic adversely affected the investor ESG software market growth with the abrupt closing of businesses after the government-imposed lockdowns around the world. Halting of business processes affected the overall turnover of businesses which resulted in the shift of focus from environmental concerns to sustaining the businesses in an unpredictable calamity such as COVID-19.



ESG software help investors in the measurement and tracking of environmental, social and governance of organizations and industry domains. According to surveys conducted by Benchmark ESG, about 85% investors, that included 91% institutional investors, consider investment-grade ESG data as concrete information for investment decision making.

Investor ESG Software Market Dynamics</

The data files represent the 26 estimated life-cycle-based indicators for a sample of companies and funds, obtained using the methodology described in the linked journal article. The files SD1 and SD2 contain the individual values estimated for the fund and company samples. These estimates are based on the methodology described in the linked article. The data herein is the source for producing all figures of the paper. All companies and funds have been anonymized, as the data is sourced from proprietary databases. At the same link, supplementary file SD3 contains the summary statistics and comparison of sustainable funds versus conventional funds sample. The file SD4 contains the data used to create Figure 4. The file SD5 contains sample data to create Figure 5. The file SD6 contains sample data to create Figure 6. Additional more detailed data can be provided upon reasonable request, but cannot be publicly disclosed as it contains data from licenced databases.

As of financial year 2021, the environmental, social, and governance (ESG) composite score for Larsen and Toubro and Adani ports and logistics stood at 74 points, the highest among the NIFTY 50 companies. NIFTY 50 is an Indian National Stock Exchange index that showcases the weighted average of fifty of the largest companies traded on the NSE.

A comparison of standardized ESG scores of the 27 largest insurance companies in the world shows significant differences between ESG score providers in many cases. The world's largest insurer by market capitalization, UnitedHealth, saw the largest range of scores, with S&P rating the company with the score of 44 out of 100 (indicating the company has a high level of ESG risk), while Sustainalytics awarded the equivalent score of 16.6 out of 100 (indicating a low average level of ESG risk). MSCI was somewhere in the middle, awarding a score which was the equivalent of 64.3. However, there was also some degree of convergence between the three ESG score providers as well. For example, all three companies awarded high ESG scores (indicating low risk) to most of the large European insurers such as Allianz, Munich Re, AXA, and Zurich Insurance Group. What do ESG scores mean?Environmental, social, and governance (ESG) scores are a vital investor tool used to assess a company's sustainability and ethical performance. As mentioned briefly above, ESG scores range from 0 to 100, with a score of more than 70 considered good, and a score of less than 50 considered relatively poor. In 2021, a survey was carried out to determine investor satisfaction with the quality of ESG reporting globally. It was found that the largest share of investors reported poor satisfaction with their ESG reporting. Allianz is one of Europe's leading insurer groupsAmong the European insurance companies that were awarded high ESG scores, Allianz was the largest in terms of market capitalization, which amounted to nearly 132.16 billion U.S. dollars as of February 2025. One of the world's leading insurers, Allianz is a German financial services company headquartered in Munich that provides insurance and asset management as its core business products. In 2023, the Allianz Group generated the highest revenues recorded during the period of observation, amounting to a value of over 160 billion euros.

Against the background of sustainable development policies, the ESG performance of Chinese manufacturing enterprises is still generally poor. As the leading enterprises in the manufacturing industry, state-owned enterprises should take the lead in responding to the national call for sustainable development and actively explore the path to improve their ESG performance. This study aims to explore whether and how state-owned manufacturing enterprises can improve their poor ESG performance through digital transformation in the digital economy. This study takes Shanghai and Shenzhen A-share state-owned listed manufacturing enterprises as the research sample and constructs an unbalanced panel. OLS regression analysis is used to empirically test the impact of digital transformation on the ESG performance of the sample firms. Further attempts are made to discuss the influence mechanism of digital transformation from the perspectives of dynamic capabilities and the institutional environment through stepwise and hierarchical regression methods, respectively. The study shows that, firstly, digital transformation is an important influencing factor in promoting the improvement of enterprises’ ESG performance, and at the same time, there are significant structural differences in this influence. Second, under the dynamic capability perspective, digital transformation can improve corporate ESG performance through an absorptive feedback mechanism, matching response mechanism, and innovation efficiency enhancement mechanism. Third, from the perspective of the institutional environment, the informal system has a significant positive moderating effect on the relationship between digital transformation and ESG performance, i.e., the informal system and digital transformation have a synergistic governance effect on corporate ESG performance. The moderating effect of the formal institutional environment on digital transformation and ESG performance is not significant. The findings of the study clarify the controversy over the relationship between digital transformation and ESG performance of manufacturing state-owned enterprises and enrich the research on the influencing factors of corporate ESG performance. It also provides a theoretical foundation and empirical evidence for manufacturing SOEs to improve ESG performance and lead to sustainable development.

The inconsistency of existing findings on the relationship between institutional investors’ shareholdings and the level of corporate Environmental, Social and Governance (ESG) disclosure may lie in the insufficient consideration of the heterogeneity of institutional investors and investee firms. In this paper, from the perspective of institutional investor heterogeneity, we use a two-way fixed effects model to examine the impact of institutional investors on corporate ESG disclosure and the possible mechanism of this impact using a sample of Chinese A-share-listed firms from 2012 to 2020. We show that institutional investor shareholding can improve the level of corporate ESG information disclosure by enhancing auditor supervision and analyst attention to these external supervision. In terms of institutional investor heterogeneity, it is found that independent institutional investors and stable institutional investors play a stronger role in promoting the level of ESG information disclosure. Moreover, the positive net effect of the institutional investors on improving the level of ESG information disclosure is more pronounced in non-heavily polluting industries and state-owned enterprises. This paper enriches the impact of institutional investors’ shareholding on corporate ESG disclosure from a heterogeneity perspective.

Sample size after data cleansing and multiple imputation procedures.

The 451 Research Datacenter KnowledgeBase dataset provides datacenter location, services, and utilization data to support cloud services, ESG, energy, media, and critical infrastructure analysis.

In a survey conducted with global consumers in early 2022, Chanel came out as the most sustainable luxury fashion brand. In addition to around 18 percent of consumers who viewed Chanel as a sustainable brand, one third of surveyed consumers thought Chanel's ESG efforts made the brand a leader in the luxury fashion industry.

Sustainability and the luxury consumers

With the climate crisis looming, sustainability and environmental awareness is becoming important topics for both luxury brands and luxury consumers. For example, the results of a recent survey showed that for over half of the luxury shoppers in Europe, the adoption of sustainable luxury policies (such as environmental protection, social responsibility, and ethical behavior) by luxury brands was very important. Moreover, Asian luxury consumers were willing to pay more for products that position themselves as sustainable luxury compared to mainstream products. However, over a third of consumers worldwide still does not believe that luxury brands are more respectful of the environment than other brands in the apparel, fashion, and accessories industry.

A changing economic landscape

Sustainability concerns of the consumers are changing the economic landscape of luxury goods shopping as more and more consumers are opting for renting or buying secondhand luxury goods. The total value of the secondhand luxury goods market was around five billion U.S. dollars in 2021. According to the forecasts, this market could grow substantially in the coming years.

The ESG scores of corporations is a crucial manifestation of their long-term strategic goals, attracting significant attention from society. The impact and underlying mechanisms of the enhancement of the social credit atmosphere on the ESG performance of corporations remain unclear. This study utilizes a sample of Chinese A-share listed companies from 2010 to 2020, employing the Difference-in-Differences (DID) methodology to investigate the relationship of the establishment of the social credit system on company ESG scores. This study reveals that the establishment of the social credit system significantly advances corporate ESG scores. Heterogeneity results indicate that the positive effect is more pronounced in state-owned enterprises or companies having substantial institutional shareholding. Furthermore, the implementation of the social credit system amplifies corporate ESG scores through three key mechanisms: fostering green technology innovation, cultivating ethical and moral corporate cultures, and optimizing the overall business environment. This paper enriches the informal institutional researches about the driving factors of corporate ESG scores, providing valuable insights for policymakers and corporate decision-makers.

Country Risk offers historic and forecast data including detailed overview on Country Risks Ratings, ESG, Banking Sector Risk and News events related to political violence and political risk incidents.

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Smart Advisor Market Size 2024-2028

The smart advisor market size is forecast to increase by USD 8.46 billion at a CAGR of 24.89% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. The increasing number of high-net-worth individuals (HNWIs) globally is driving market expansion. These individuals seek personalized financial advice and are turning to smart advisors for efficient and accurate investment management. Moreover, the adoption of technological advancements, such as artificial intelligence and machine learning, is revolutionizing the financial services industry. These technologies enable smart advisors to analyze vast amounts of data and provide customized investment recommendations. Furthermore, the growth of fintech companies is fueling the market, as they offer innovative solutions that cater to the evolving needs of consumers. Overall, these factors are contributing to the robust growth of the market.

What will be the Size of the Smart Advisor Market During the Forecast Period?

Request Free SampleThe market is experiencing significant growth as fintech companies integrate creative virtual solutions, such as conversational AI and intelligent document processors, to offer personalized financial counseling. This trend is not limited to the financial sector, as businesses in healthcare, real estate, and other industries explore the benefits of robo-advisors and machine learning for providing investing guidance and budgeting assistance. These intelligent systems employ natural language processing and user-friendly interfaces, fostering trust and enabling individuals to make informed financial decisions with individualized counsel. Moreover, the adoption of AI and machine learning In the market extends to business intelligence companies, enhancing their capabilities to analyze vast amounts of data for wealth management and digital financial services.The integration of ESG (Environmental, Social, and Governance) factors and chatbots further expands the market's reach, offering financial education and literacy to a broader audience. Despite the advancements, legacy systems and user trust remain critical challenges for market growth. Voice assistants are also gaining traction, streamlining the user experience and offering convenience in managing financial decisions. Overall, the market continues to evolve, offering innovative solutions to meet the diverse needs of consumers and businesses.

How is this Smart Advisor Industry segmented and which is the largest segment?

The smart advisor industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. TypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaEuropeGermanyUKSouth AmericaMiddle East and Africa

By Type Insights

The software segment is estimated to witness significant growth during the forecast period.

The market is primarily driven by the software segment, which accounted for the largest market share in 2023. This segment's growth can be attributed to the increasing adoption of smart advisor solutions across various industries, including finance and healthcare. In the financial sector, robo-advisors and passive investing platforms are gaining popularity, offering personalized investment planning and budgeting guidance to individuals. In healthcare, conversational AI and intelligent document processors are being used to enhance patient care and streamline administrative processes. Business intelligence companies are also integrating AI/ML technologies to provide real-time insights and improve decision-making. The healthcare sector's growing use of virtual financial counselors and chatbots for financial education and literacy is further fueling the market's growth.companies are continuously innovating to meet the evolving needs of customers, with offerings ranging from CRM systems and machine learning algorithms to voice assistants and ESG investing tools. Data security and user trust remain critical factors as the market continues to expand, with legacy systems being gradually replaced by more advanced, digital financial services.

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The Software segment was valued at USD 1.44 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 36% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American market leads the global s

Project: IPCC Data Distribution Centre : Fourth Assessment Report data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://ipcc-data.org/sim/gcm_clim/SRES_AR4 ). The SRES scenarios have been constructed to explore future developments in the global enviromental with special reference to the production of greenhouse gases and aerosol precursor emission. A set of four scenario families (A1, A2, B1, B2) have been developed that each of this storylines describes one possible demographic, polito-economic, societal and technological future. Model experiments, also using different forcing scenarios, were calculated at other modeling centres. The data represent a subset of data sets from the IPCC Model Output Archive at PCMDI (https://pcmdi.llnl.gov/mips/cmip3/). _ These datasets are available in netCDF and GRIB format. The dataset names are composed of - centre/model acronym (e.g. MPEH5: Max-Planck-Institute/Echam5) - scenario acronym (e.g. SRB1: SRES B1) - run number (e.g. 1: run 1) - format identifier (e.g. N: netCDF, G: GRIB) - variable acronym with level value --> example: MPEH5_SRB1_1_G_hur850 Summary: These data represent monthly averaged values of selected variables for the Data Distribution Centre (DDC) of the Intergovernmental Panel on Climate Change (IPCC). (see also http://www.ipcc-data.org/) The model output prepared for IPCC Fourth Assessment 1%/year CO2 increase experiment (to quadrupling). These datasets are available in netCDF and GRIB format. For this experiment there are 1 ensemble runs available. For model output data in higher temporal resulution and more variables visit the web page https://esg.llnl.gov:8443/home/publicHomePage.do.