scholarly journals The Integrated Carbon Observation System in Europe

2021 ◽  
pp. 1-54
Author(s):  
Jouni Heiskanen ◽  
Christian Brümmer ◽  
Nina Buchmann ◽  
Carlo Calfapietra ◽  
Huilin Chen ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Land Surface ◽  
Ghg Emissions ◽  
Quality Data ◽  
Easy Access ◽  
Observation System ◽  
Future Global Warming ◽  
The Impact

AbstractSince 1750, land use change and fossil fuel combustion has led to a 46 % increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limiting global temperature increases to well below 2°C above pre-industrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere is sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.

scholarly journals Assessment of impact of climate change on water resources: a long term analysis of the Great Lakes of North America

2008 ◽  
Vol 12 (1) ◽  
pp. 239-255 ◽  
Author(s):  
E. McBean ◽  
H. Motiee
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Water Resources ◽  
North America ◽  
Great Lakes ◽  
Great Lakes Basin ◽  
Historical Trends ◽  
Global Circulation Models ◽  
The Impact

Abstract. In the threshold of the appearance of global warming from theory to reality, extensive research has focused on predicting the impact of potential climate change on water resources using results from Global Circulation Models (GCMs). This research carries this further by statistical analyses of long term meteorological and hydrological data. Seventy years of historical trends in precipitation, temperature, and streamflows in the Great Lakes of North America are developed using long term regression analyses and Mann-Kendall statistics. The results generated by the two statistical procedures are in agreement and demonstrate that many of these variables are experiencing statistically significant increases over a seven-decade period. The trend lines of streamflows in the three rivers of St. Clair, Niagara and St. Lawrence, and precipitation levels over four of the five Great Lakes, show statistically significant increases in flows and precipitation. Further, precipitation rates as predicted using fitted regression lines are compared with scenarios from GCMs and demonstrate similar forecast predictions for Lake Superior. Trend projections from historical data are higher than GCM predictions for Lakes Michigan/Huron. Significant variability in predictions, as developed from alternative GCMs, is noted. Given the general agreement as derived from very different procedures, predictions extrapolated from historical trends and from GCMs, there is evidence that hydrologic changes particularly for the precipitation in the Great Lakes Basin may be demonstrating influences arising from global warming and climate change.

scholarly journals Climate Change and Building Energy Consumption: A Review of the Impact of Weather Parameters Influenced by Climate Change on Household Heating and Cooling Demands of Buildings

2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hassan Bazazzadeh ◽  
Adam Nadolny ◽  
Seyedeh Sara Hashemi Safaei
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Energy Consumption ◽  
Industrial Development ◽  
Building Sector ◽  
Total Energy Consumption ◽  
Heating And Cooling ◽  
Urban Energy ◽  
The Impact

The growth of urban population as the result of economic and industrial development has changed our place of living from a prosperous place to where the resources are carelessly consumed. On the other hand, long-term climate change, i.e. global warming, has had adverse impact on our resources. Certain resources are on the verge of depletion as the consequence of climate change and inconsiderate consumption of resources, unless serious measures are implemented immediately. The building sector, whose share in the municipal energy consumption is considerably high, is a key player that may successfully solve the problem. This paper aims to study the effects of climate change on the energy consumption of buildings and analyze its magnitude to increase the awareness of how construction can reduce the overall global energy consumption. A descriptive-analytical method has been applied to analyze valid models of energy consumption according to different scenarios and to interpret the conditions underlying current and future energy consumption of buildings. The results clearly show that the energy consumption in the building sector increasingly depends on the cooling demand. With that being said, we can expect the reduction of overall energy consumption of buildings in regions with high heating demands, whereas rising the energy consumption in buildings is expected in regions with high cooling demand. To conclude, the long-term climate change (e.g. global warming) underlies the increased energy consumption for the cooling demand whose share in total energy consumption of buildings much outweighs the heating demand. Therefore, to conserve our resources, urban energy planning and management should focus on working up a proper framework of guidelines on how to mitigate the cooling loads in the energy consumption patterns of buildings.

scholarly journals The analysis of the relationship between CO2 level and economic growth

2021 ◽  
pp. 17-23
Author(s):  
Szira Zoltán ◽  
Bárdos Kinga Ilona ◽  
Alghamdi Hani ◽  
Enkhjav Tumentsetseg ◽  
Erika Varga
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Global Warming ◽  
Human Activities ◽  
Carbon Dioxide Emissions ◽  
Industrial Revolution ◽  
Carbon Dioxide Emission ◽  
The Impact ◽  
The Relationship

2019 was Earth's second warmest year since 1850. In 2019 the global mean temperature was cooler than in 2016, but warmer than any other year explicitly measured. Consequently, 2016 is still the warmest year in historical observation history. Year-to-year rankings are likely to reflect natural fluctuations in the short term, but the overall pattern remains consistent with a long-term global warming trend. This would be predicted from global warming caused by greenhouse gases, temperature increase across the globe is broadly spread, impacting almost all areas of land and oceans. Climate change" and "global warming" are often used interchangeably but are of distinct significance. Global warming is the long-term heating of the Earth's climate system observed since the pre-industrial period as a result of human activities, mainly the combustion of fossil fuel, which raises the heat-trapping greenhouse gas levels in the Earth's air. The term is often used interchangeably with the term climate change, as the latter applies to warming caused both humanly and naturally, and the impact it has on our planet. This is most generally calculated as the average increase in global surface temperature on Earth. Carbon dioxide emission is one of the main reasons for global warming. Since the Industrial Revolution, human sources of carbon dioxide emissions have been growing. Human activities such as the burning of oil, coal and gas, as well as deforestation are the primary cause of the increased carbon dioxide concentrations in the atmosphere. In our research, let’s examine the relationship between the amount of carbon dioxide emissions and the GDP/capita in developed and developing countries.

scholarly journals Quantifying the impact of ocean acidification on our future climate

2013 ◽  
Vol 10 (11) ◽  
pp. 17683-17723 ◽  
Author(s):  
R. J. Matear ◽  
A. Lenton
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Ocean Acidification ◽  
Observational Studies ◽  
Biogeochemical Cycles ◽  
Future Climate ◽  
Atmospheric Co2 ◽  
First Order ◽  
Future Global Warming ◽  
The Impact

Abstract. Ocean acidification (OA) is the consequence of rising atmospheric CO2, and it is occurring in conjunction with global warming. Observational studies show that OA will impact ocean biogeochemical cycles. Here, we use a coupled carbon-climate Earth System Model under the RCP8.5 emission scenario to evaluate and quantify the first-order impacts of OA on marine biogeochemical cycles and the potential feedback on our future climate over this century. We find that OA impacts have only a small impact on the future atmospheric CO2 (less than 45 ppm) and future global warming (less than a 0.25 K) by 2100. While the climate change feedbacks are small, OA impacts may significantly alter the distribution of biological production and remineralization, which would alter the dissolved oxygen distribution in the ocean interior. Our results demonstrate that the consequences of OA will not be through its impact on climate change, but on how it impacts the flow of energy in marine ecosystems, which may significantly impact their productivity, composition and diversity.

scholarly journals A methodology to quantify and monitor the impact of environmental restoration using climate data records from satellite observations

2021 ◽  
Author(s):  
Mendy van der Vliet ◽  
Richard de Jeu ◽  
Jaap Schellekens ◽  
Robin van der Schalie
Keyword(s):  
Climate Change ◽  
Surface Temperature ◽  
European Space Agency ◽  
Quality Data ◽  
Climate Mitigation ◽  
Environmental Restoration ◽  
Climate Data ◽  
Great Opportunity ◽  
The Impact

<p>Environmental restoration has the potential to constrain human-induced land degradation, loss of biodiversity and climate change. Although the practise is increasingly integrated into natural resource and climate mitigation strategies, scientific studies underline that the effectiveness and impact of these restoration projects are currently difficult to monitor and assess. In order to measure the global community’s progress towards the Sustainable Development Goals (SDGs), restoration interventions need to be assessed in a systematic and objective manner. However, the long-term and high-quality data records that are required for this are often lacking in both time and space. Satellite data products that can detect changes in land use, surface temperature and hydrological conditions over time in a consistent manner, can fill this gap.</p><p>Over the last few decades, the scientific community has made great efforts to merge different satellites into multi-decadal historical datasets of climate variables. Examples of such long-term climate data records (CDRs) are the soil moisture (from 1978 onwards), land surface temperature (since 1995) and land cover (since 2008) datasets of the European Space Agency Climate Change Initiative (ESA CCI). These consistent datasets, combined with near real-time observations, offer a great opportunity to quantify and monitor the impact of restoration interventions on degraded landscapes. In order to monitor restoration projects affecting areas smaller than the native resolutions of these datasets (up to approximately 25 km), downscaling techniques can be used to increase the spatial level of detail (approximately in the 0.1-1 km range). The resulting monitoring service could help managers of restoration programs and green investment funds to steer decisions and communicate on effectiveness towards their donors. </p><p>The satellite datasets were investigated in space and time in relation to the effects of the restoration projects. For each restoration project area, several surface conditions were monitored and compared to those in an unaffected control area to detect and attribute the effects of the restoration program. The present work focuses on several case studies in which the relevance of satellite-based CDRs for the end users’ operational practises related to impact monitoring is assessed in the context of the SDGs 12 (Responsible production and consumption), 13 (Life on land) and 15 (Climate action).</p>

scholarly journals Impacts of Climate Change: Can Fisheries and Aquaculture Sectors Survive the Wave?

2020 ◽  
Vol 4 (1) ◽  
pp. 78
Author(s):  
Talent Ndlovu ◽  
Sylvain Charlebois
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Food Security ◽  
Food Insecurity ◽  
Holistic Approach ◽  
Short Term ◽  
Ocean Ecosystem ◽  
The Impact ◽  
Impacts Of Climate Change

Studies have shown the impact of climate change on the ocean ecosystem and the fishing and aquaculture sectors. As global warming intensifies, this will impact communities and communities as the populations of some fish species decline or increase. Research on the impacts of climate change to fisheries will facilitate the development of policies, helping communities to adapt while ensuring resilience and sustainability of the sector(s). This paper assesses the short term and long-term impacts of climate change to the ocean ecosystem, the consequences to economies and communities that rely on fishing for food security. It begins with a review of peer reviewed literature, followed by an analysis of the current policies and ends with some recommendations for governments in the sustainability and management of the ecosystem in the future. Important to note is the impact of human generated hazards and how a more holistic approach to minimizing risks to the ocean ecosystem could resolve threats of food insecurity in future.

scholarly journals Climate Change, CO2-Concentration, and the Impact on Long-Term Pollen Observation with Implications for Human Health

2021 ◽  
Vol 2 (4) ◽  
pp. 1-1
Author(s):  
Thomas Frei ◽  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Co2 Concentration ◽  
Strongly Correlated ◽  
Concentration Data ◽  
The People ◽  
Pollen Release ◽  
The Impact ◽  
The Relationship

Climate change has a major impact on nature and influences ecological systems. The increase in the CO2-concentration in the atmosphere is a major driver of global warming. This study showed that global warming has a major impact on the release of pollen, and hence, on the people suffering from allergies in Switzerland. Basel is a station where long-term pollen observation is conducted, and the data was used to investigate the change during the last 52 years. There are stations throughout the world to measure the atmospheric CO2 concentration. Data from these stations showed an increase in temperature, which influences the biosphere. We found that the flowering time of Hazel, Birch, and Grass pollen has shifted forward in the corresponding season, inducing hay fever early in spring. Earlier pollen release is strongly correlated with and caused by an increase in temperature. This study showed the relationship between increasing CO2-concentration in the atmosphere, the increasing air temperature followed by increasing and earlier pollen counts, and finally, increasing prevalence of pollinosis over half a century.

scholarly journals The analysis of the relationship between CO2 level and economic growth

2021 ◽  
pp. 24-28
Author(s):  
Zoltán Szira ◽  
Bárdos Kinga Ilona ◽  
Hani Alghamdi ◽  
Tumentsetseg Enkhjav ◽  
Erika Varga
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Developing Countries ◽  
Global Warming ◽  
Developed Countries ◽  
Warming Trend ◽  
Carbon Abatement ◽  
The Impact ◽  
The Relationship

2019 was Earth's second warmest year since 1850. In 2019 the global mean temperature was cooler than in 2016, but warmer than any other year explicitly measured. Consequently, 2016 is still the warmest year in historical observation history. Year-to-year rankings are likely to reflect natural fluctuations in the short term, but the overall pattern remains consistent with a long-term global warming trend. This would be predicted from global warming, caused by greenhouse gases, temperature increase across the globe is broadly spread, impacting almost all areas of land and oceans. “Climate change" and "global warming" are often used interchangeably, but are of distinct significance. Global warming is the long-term heating of the Earth's climate system, observed since the pre-industrial period as a result of human activities, mainly the combustion of fossil fuel, which raises the heat-trapping greenhouse gas levels in the Earth's air. The term is often used interchangeably with the term climate change, as the latter applies to warming, caused both humanly and naturally, and the impact it has on our planet. This is most generally calculated as the average increase in global surface temperature on Earth. In our research, we examine the relationship between the regulation of carbon emissions and the GDP / capita relationship between developed and developing countries. We assumed applying carbon abatement policies will reduce economic growth and GDP in developed countries, but it will rise economic growth and GDP in developing countries.

scholarly journals Modeling Building Stock Development

2021 ◽  
Vol 13 (2) ◽  
pp. 723
Author(s):  
Antti Kurvinen ◽  
Arto Saari ◽  
Juhani Heljo ◽  
Eero Nippala
Keyword(s):  
Model Development ◽  
Housing Demand ◽  
Quality Data ◽  
Building Stock ◽  
Test Arena ◽  
Climate Targets ◽  
Wide Range ◽  
Key Variables ◽  
The Impact

It is widely agreed that dynamics of building stocks are relatively poorly known even if it is recognized to be an important research topic. Better understanding of building stock dynamics and future development is crucial, e.g., for sustainable management of the built environment as various analyses require long-term projections of building stock development. Recognizing the uncertainty in relation to long-term modeling, we propose a transparent calculation-based QuantiSTOCK model for modeling building stock development. Our approach not only provides a tangible tool for understanding development when selected assumptions are valid but also, most importantly, allows for studying the sensitivity of results to alternative developments of the key variables. Therefore, this relatively simple modeling approach provides fruitful grounds for understanding the impact of different key variables, which is needed to facilitate meaningful debate on different housing, land use, and environment-related policies. The QuantiSTOCK model may be extended in numerous ways and lays the groundwork for modeling the future developments of building stocks. The presented model may be used in a wide range of analyses ranging from assessing housing demand at the regional level to providing input for defining sustainable pathways towards climate targets. Due to the availability of high-quality data, the Finnish building stock provided a great test arena for the model development.

scholarly journals Natural and Managed Grasslands Productivity during Multiyear in Ex-Arable Lands (in the Context of Climate Change)

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215
Author(s):  
Liudmila Tripolskaja ◽  
Asta Kazlauskaite-Jadzevice ◽  
Virgilijus Baliuckas ◽  
Almantas Razukas
Keyword(s):  
Climate Change ◽  
Soil Properties ◽  
Dry Matter ◽  
Arable Land ◽  
Rainfall Amount ◽  
Rainfall Variation ◽  
Global Issue ◽  
Term Change ◽  
The Impact

Ex-arable land-use change is a global issue with significant implications for climate change and impact for phytocenosis productivity and soil quality. In temperate humid grassland, we examined the impact of climate variability and changes of soil properties on 23 years of grass productivity after conversion of ex-arable soil to abandoned land (AL), unfertilized, and fertilized managed grassland (MGunfert and MGfert, respectively). This study aimed to investigate the changes between phytocenosis dry matter (DM) yield and rainfall amount in May–June and changes of organic carbon (Corg) stocks in soil. It was found that from 1995 to 2019, rainfall in May–June tended to decrease. The more resistant to rainfall variation were plants recovered in AL. The average DM yield of MGfert was 3.0 times higher compared to that in the AL. The DM yields of AL and MG were also influenced by the long-term change of soil properties. Our results showed that Corg sequestration in AL was faster (0.455 Mg ha−1 year−1) than that in MGfert (0.321 Mg ha−1 year−1). These studies will be important in Arenosol for selecting the method for transforming low-productivity arable land into MG.

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