This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two emissions datasets.

TOLNet_ECCC_Data is the lidar data collected by the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.In the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of six Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.TOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water–Land Environmental Transition Study (OWLETS).

This repository contains materials associated with a project which explores appeals to expertise by climate scientists in hearings before Congress. These materials include plain text files in UTF-7 and ASCII format of testimonies by individual scientists in hearings from 1985-2013 as well as meta-data about each of the hearings and scientific witnesses in the corpus.

Context

Data description

The FAOSTAT Temperature Change domain disseminates statistics of mean surface temperature change by country, with annual updates. The current dissemination covers the period 1961–2023. Statistics are available for monthly, seasonal and annual mean temperature anomalies, i.e., temperature change with respect to a baseline climatology, corresponding to the period 1951–1980. The standard deviation of the temperature change of the baseline methodology is also available. Data are based on the publicly available GISTEMP data, the Global Surface Temperature Change data distributed by the National Aeronautics and Space Administration Goddard Institute for Space Studies (NASA-GISS).

Content

Statistical concepts and definitions

Statistical standards: Data in the Temperature Change domain are not an explicit SEEA variable. Nonetheless, country and regional calculations employ a definition of “Land area” consistent with SEEA Land Use definitions, specifically SEEA CF Table 5.11 “Land Use Classification” and SEEA AFF Table 4.8, “Physical asset account for land use.” The Temperature Change domain of the FAOSTAT Agri-Environmental Indicators section is compliant with the Framework for the Development of Environmental Statistics (FDES 2013), contributing to FDES Component 1: Environmental Conditions and Quality, Sub-component 1.1: Physical Conditions, Topic 1.1.1: Atmosphere, climate and weather, Core set/ Tier 1 statistics a.1.

Statistical unit: Countries and Territories.

Statistical population: Countries and Territories.

Reference area: Area of all the Countries and Territories of the world. In 2019: 190 countries and 37 other territorial entities.

Code - reference area: FAOSTAT, M49, ISO2 and ISO3 (http://www.fao.org/faostat/en/#definitions). FAO Global Administrative Unit Layer (GAUL National level – reference year 2014. FAO Geospatial data repository GeoNetwork. Permanent address: http://www.fao.org:80/geonetwork?uuid=f7e7adb0-88fd-11da-a88f-000d939bc5d8.

Code - Number of countries/areas covered: In 2019: 190 countries and 37 other territorial entities.

Time coverage: 1961-2023

Periodicity: Monthly, Seasonal, Yearly

Base period: 1951-1980

Unit of Measure: Celsius degrees °C

Reference period: Months, Seasons, Meteorological year

Acknowledgements

Documentation on methodology: Details on the methodology can be accessed at the Related Documents section of the Temperature Change (ET) domain in the Agri-Environmental Indicators section of FAOSTAT.

Quality documentation: For more information on the methods, coverage, accuracy and limitations of the Temperature Change dataset please refer to the NASA GISTEMP website: https://data.giss.nasa.gov/gistemp/

                                                                          Source: http://www.fao.org/faostat/en/#data/ET/metadata

Inspiration

Climate change is one of the important issues that face the world in this technological era. The best proof of this situation is the historical temperature change. You can investigate if any hope there is for stopping global warming :)

• Can you find any correlation between temperature change and any other variable? (Using ISO3 codes for merging any other countries' data sets possible.)

• Prediction of temperature change: there is also an overall world temperature change in the country list as 'World'.

Companies have already felt the effects of climate change on their business, a survey among over ***** C-level executives worldwide conducted between September and October 2022 found. ** percent of respondents outlined resource scarcity and cost as an issue already impacting their business, followed closely by changing consumption patterns.

The latest National Statistics on forestry produced by the Forestry Commission were released on 24 September 2015 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2015, with an extract in Forestry Facts & Figures 2015. They include UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland. Attribution statement: Contains OS data © Crown copyright [and database right] [year].

In order to predict how present changes in climate will affect Canada's environment, it is essential to understand the environmental impacts of past climate changes. In this activity, paleogeographic data from the last 18,000 years are assembled, synthesized, published, and web-enabled to help guide climate change adaptation strategies. Understanding the natural variability of the climate-environment system is essential for assessing present changes in climate associated with human activities. Of particular interest are the changes in climate over the last 18,000 years, from the Last Glacial Maximum (the period during the last ice age when the ice was at maximum extent) to the present. This activity displays some of the environmental consequences of past climate change that have occurred in North America since the Last Glacial Maximum.

This dataset consists of spatially explicit (1 km gridded) metrics of climate change 'exposure' (i.e. an index of the amount of expected change in a location) derived from quantifying the difference in observed historical and predicted future climatic conditions. Four comparisons are included between five discrete time periods: 1901–1930 v. 1961–1990; 1961–1990 v. 2010–2019; 2010–2019 v. 2021–2040; and 2021–2040 v. 2061–2080.

Comprehensive dataset tracking climate change indicators including global warming, species extinction rates, deforestation, pollution levels, and environmental destruction across 196 countries.

Data from the Opinions and Lifestyle Survey (OPN), about public attitudes towards the future of the environment and the impact of climate change.

The Fourth National Communication has been developed by the Ministry of Environment of the Republic of Armenia with the funding of the Global Environmental Facility and support of the United Nations Development Programme in Armenia within the framework of the “Development of Armenia’s Fourth National Communication to the UNFCCC and Second Biennial Update Report” project. Citation:Ministry of Environment RA, Fourth National Communication on Climate Change, Yerevan, UNDP Armenia, 2020.

This data release contains data discussed in its larger work citation. "ClimateComparisonData.csv" contains summary metrics of six climate projections used as climate input for quantitative simulations of hydrologic and ecological responses to climate change at Wind Cave National Park (WCNP) and the same summary metrics for 38 other climate projections available at the time that these simulations were done. "HydroData.csv" contains mean annual streamflow of a stream in WCNP and mean annual hydraulic head of a subterranean lake in Wind Cave as simulated by the rainfall-response aquifer and watershed flow (RRAWFLOW) model for two climate projections in the climate dataset. The remaining files contain aboveground live forest carbon, frequency of high-fire-danger days, and annual grass production as simulated by the dynamic vegetation model MC1 parameterized for WCNP for combinations of four climate projections in the climate dataset with a variety of management alternatives.

Climate change is viewed as a major concern globally, with around ** percent of respondents to a 2023 survey viewing it as a serious threat to humanity. developing nations often show the highest levels of concern, like in the Philippines where **** percent of respondents acknowledge it as a serious threat. Rising emissions despite growing awareness Despite widespread acknowledgment of climate change, global greenhouse gas emissions continue to climb. In 2023, emissions reached a record high of ** billion metric tons of carbon dioxide equivalent, marking a ** percent increase since 1990. The power industry remains the largest contributor, responsible for ** percent of global emissions. This ongoing rise in emissions has significant implications for global climate patterns and environmental stability. Temperature anomalies reflect warming trend In 2024, the global land and ocean surface temperature anomaly reached 1.29 degrees Celsius above the 20th-century average, the highest recorded deviation to date. This consistent pattern of positive temperature anomalies, observed since the *****, highlights the long-term warming effect of increased greenhouse gas accumulation in the atmosphere. The warmest years on record have all occurred within the past decade.

People in Great Britain’s attitudes towards the environment and climate change; indicators from the Opinions and Lifestyle Survey (OPN), August to October 2024. Uses longer data collection periods to allow estimates by various personal characteristics.

The Climate Change Mitigation in Agriculture Statistics publication brings together statistics on agriculture which track progress on greenhouse gas (GHG) performance. The publication summarises available evidence and interprets it in the context of GHGs. It also incorporates emerging statistics which inform understanding of GHGs in agriculture as research.

Source agency: Environment, Food and Rural Affairs

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Greenhouse gases from agriculture

According to a 2024 survey conducted among UK residents, almost 80 percent had some concern about climate change. In comparison, 19 percent were not concerned, with four percent of those having no concerns at all. The survey was conducted by the Department for Business, Energy & Industrial Strategy (BEIS) as part of its Net Zero and Climate Change Public Attitudes Tracker. Climate change causesIn a recent BEIS survey, it was found that 38 percent of respondents believed climate change is mainly caused by human activity. 13 percent believed it is caused entirely by human activity, whilst one percent felt that there is no such thing as climate change. Climate change is the term used for global weather phenomena which results in new weather patterns, increasing global temperatures. This term also includes the climate effects these increasing temperatures cause. A move towards green energyOver the last decade, electricity generation from renewable sources in the UK has increased significantly, surpassing 122 terawatt-hours in 2021. In the same period of time, the UK has seen its greenhouse gas emissions decrease by nearly 30 percent – from approximately 609 MtCO2e in 2010 to 427 MtCO2e in 2021.

This data-set was collected to replicate the findings of Schuldt et al. (2011). It contains data from the UK, USA, and Australia collected between 2nd of January 2018 and the 29th of April 2019. It measures individuals political party, and belief in environmental phenomena.

Agro-climatic phases .

The Climate Change Agreements (Administration) Regulations 2012 require the administrator to publish a report setting out the energy efficiency improvements and emissions reductions achieved by participants.
Climate Change Agreements (CCAs) are voluntary agreements that set targets on operators to improve their energy efficiency and/or reduce carbon dioxide emissions. The CCA scheme runs from 1 April 2013 to 31 March 2025. Eligibility to participate in the scheme requires operators to carry out one or more listed ‘eligible activities’. Operators that enter into and abide by the terms and conditions of their CCA are entitled to claim a discount on the Climate Change Levy (CCL), a tax added to electricity, gas and solid fuel bills by suppliers. Operators must report their energy consumption, carbon emissions and performance against their target for each of the four biennial target periods between 2013 and 2020. Operators meeting their target at the end of each target period will be certified as eligible to claim a discount on the CCL. This data set contains the performance results for each target unit participating in the CCA scheme. A target unit is a group of one or more facilities operated by the same legal entity and set out in an underlying agreement held by the operator. The underlying agreement sets out individual targets for each of the four biennial target periods. The data should be read in combination with the previous biennial reports located on GOV.UK. Data may not be included for some target units where a case for commercial confidentiality has been accepted.