Download or read book Temporal and Spatial Modeling of Urban Carbon Dioxide Fluxes Using a Data Based Approach written by Olaf Menzer and published by . This book was released on 2015 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The spatial variation in the flux magnitude when modeling annual sums of FC was up to a factor of two depending on major land use types in different wind directions, including residential and recreational areas. Gross primary production had the largest magnitude of all separated urban FC components both on a monthly and on a diurnal temporal scale during the growing season, and was also the most seasonally dynamic flux (compared to vehicular traffic emissions, natural gas emissions from space heating as well as water heating and cooking, and ecosystem respiration). The modeled biogenic and anthropogenic fluxes were significantly related to source area weighted fractions of green cover and impervious cover, respectively. Finally, I calculated the first estimates of net CO2 exchange from urban trees in residential areas directly based on eddy covariance measurements and scaled them up to the larger metropolitan area throughout the growing seasons of 2007 and 2008. The modeling studies in this work provide estimates of CO2 release and CO2 uptake from urban trees and turfgrass lawns in a suburban neighborhood at half-hourly, daily, monthly and annual levels. New insights on the controlling factors of these biogenic fluxes can lead to improvements in capturing the function of urban greenspace in carbon and climate models at metropolitan, regional, and global scales.
Download or read book Land Use and the Carbon Cycle written by Daniel G. Brown and published by Cambridge University Press. This book was released on 2013-01-28 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: As governments and institutions work to ameliorate the effects of anthropogenic CO2 emissions on global climate, there is an increasing need to understand how land-use and land-cover change is coupled to the carbon cycle, and how land management can be used to mitigate their effects. This book brings an interdisciplinary team of fifty-eight international researchers to share their novel approaches, concepts, theories and knowledge on land use and the carbon cycle. It discusses contemporary theories and approaches combined with state-of-the-art technologies. The central theme is that land use and land management are tightly integrated with the carbon cycle and it is necessary to study these processes as a single natural-human system to improve carbon accounting and mitigate climate change. The book is an invaluable resource for advanced students, researchers, land-use planners and policy makers in natural resources, geography, forestry, agricultural science, ecology, atmospheric science and environmental economics.
Download or read book Modeling Regional Carbon Dioxide Flux Over California Using the WRF ACASA Coupled Model written by and published by . This book was released on 2016 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many processes and interactions in the atmosphere and the biosphere influence the rate of carbon dioxide exchange between these two systems. However, it is difficult to estimate the carbon dioxide flux over regions with diverse ecosystems and complex terrains, such as California. Traditional carbon dioxide measurements are sparse and limited to specific ecosystems. Therefore, accurately estimating carbon dioxide flux on a regional scale remains a major challenge. In this study, we couple the weather Research and Forecasting Model (WRF) with the Advanced Canopy- Atmosphere-Soil Algorithm (ACASA), a high complexity land surface model. Although WRF is a state-of- the-art regional atmospheric model with high spatial and temporal resolutions, the land surface schemes available in WRF lack the capability to simulate carbon dioxide. ACASA is a complex multilayer land surface model with interactive canopy physiology and full surface hydrological processes. It allows microenvironmental variables such as air and surface temperatures, wind speed, humidity, and carbon dioxide concentration to vary vertically. Carbon dioxide, sensible heat, water vapor, and momentum fluxes between the atmosphere and land surface are estimated in the ACASA model through turbulence equations with a third order closure scheme. It therefore permits counter-gradient transports that low-order turbulence closure models are unable to simulate. A new CO2 tracer module is introduced into the model framework to allow the atmospheric carbon dioxide concentration to vary according to terrestrial responses. In addition to the carbon dioxide simulation, the coupled WRF-ACASA model is also used to investigate the interactions of neighboring ecosystems in their response to atmospheric carbon dioxide concentration. The model simulations with and without the CO2 tracer for WRF-ACASA are compared with surface observations from the AmeriFlux network.
Download or read book Spatial Temporal Analysis and Modeling of Urban Growth written by Charles Mundia and published by LAP Lambert Academic Publishing. This book was released on 2010-12 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geo spatial data and information are increasingly being used by different professionals to analyze and model different phenomena. This book looks at spatial analysis and modeling of urban growth using Cellular Automata, Remote Sensing, and Geographical Information System, with a particular emphasis on cities experiencing rapid spatial expansions. The book takes a critical look at the dynamics of spatial-temporal patterns of land use/land cover, and discusses urban growth issues and the need for urban management tools that can provide different perspective scenarios. Urban growth geosimulation that integrates social-economic and biophysical factors with dynamic spatial modeling is described. This is necessary for monitoring urban development processes, planning for urban service provision and managing urban planning information. This book illustrates through case studies, how spatial analysis and modeling built around GIS, can be used to identify ways in which cities may be better planned and managed.The book will be valuable reading for researchers, regional analysts, planners, policy makers, business analysts and geodemographers among many other professionals.
Download or read book Atmospheric Boundary Layer Flows written by J. C. Kaimal and published by Oxford University Press, USA. This book was released on 1994 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text gives a simple view of the structure of the boundary layer, the instruments available for measuring its mean and turbulent properties, how best to make the measurements, and ways to process and analyze the data.
Download or read book Spatial Modeling of the Atmospheric Carbon Dioxide in the Contiguous USA written by Muhammad Salaha Uddin and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emission amounts of carbon dioxide (CO2) from different sources are important in the current climate change debate, and their measuring is also essential for the formulation and evaluation of public policies. However, emissions of CO2 are not usually observed and instead of estimated from the activity and repurposed data. In the cyclical biogeochemical process of carbon dioxide, the sectoral net emissions (i.e., industrial, transportation, residential, commercial) are not identifiable and directly observable. In this respect, this study explored the direct statistical relationships among the spatial variability of observed atmospheric CO2 concentration, the reported industrial emissions, and other hypothesized factors. Methodologically, this study presents a statistical approach for understanding the effect magnitudes of the industrial emissions and other hypothesized factors on the atmospheric CO2 concentration using observed spatial data. Atmospheric CO2 concentration is a measurable and well-mixed media of all emissions. There are anthropogenic and natural sources of emissions from where CO2 emits to the atmosphere. The emitted CO2 from different sectors interacts with the sinks and finally settles as atmospheric CO2 concentration. Therefore, the magnitude and intensity of the sectoral net emissions and concentration of atmospheric CO2 vary over space. This study considers this resultant spatial variability of the atmospheric CO2 and emitted sectoral emissions over the space to determine the effects of emissions and other hypothesized factors on the atmospheric CO2 concentration. For this purpose, this study developed a framework for analyzing each identified anthropogenic factor that includes specific databases and statistical methods. This study developed a methodological approach to study CO2 emissions using observed hypothesized factors and the atmospheric phenomenon of column-averaged carbon dioxide (XCO2). The study statistically established that industrial locations and emissions play a significant role in the spatial variation of XCO2 in the CONUS regardless of the direct emissions from other anthropogenic sources and the counties' urban and rural nature. The study found that taking account of the sources and sinks' spatial variability is an effective way of estimating sectoral emissions' marginal effects. In this way, it is possible to find the marginal emission effects of industrial emissions at the USA's county-level using existing databases. This marginal effect estimation approach ensures industrial emissions' geographic visualization in terms of the observed atmospheric phenomenon rather than unobserved emission amounts.
Download or read book Verifying Greenhouse Gas Emissions written by National Research Council and published by National Academies Press. This book was released on 2010-07-28 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world's nations are moving toward agreements that will bind us together in an effort to limit future greenhouse gas emissions. With such agreements will come the need for all nations to make accurate estimates of greenhouse gas emissions and to monitor changes over time. In this context, the present book focuses on the greenhouse gases that result from human activities, have long lifetimes in the atmosphere and thus will change global climate for decades to millennia or more, and are currently included in international agreements. The book devotes considerably more space to CO2 than to the other gases because CO2 is the largest single contributor to global climate change and is thus the focus of many mitigation efforts. Only data in the public domain were considered because public access and transparency are necessary to build trust in a climate treaty. The book concludes that each country could estimate fossil-fuel CO2 emissions accurately enough to support monitoring of a climate treaty. However, current methods are not sufficiently accurate to check these self-reported estimates against independent data or to estimate other greenhouse gas emissions. Strategic investments would, within 5 years, improve reporting of emissions by countries and yield a useful capability for independent verification of greenhouse gas emissions reported by countries.
Download or read book Atmospheric Carbon Dioxide Retrieved from the Greenhouse Gases Observing SATellite written by Austin James Cogan and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Carbon dioxide is the largest anthropogenic contributor to global warming and atmospheric concentrations have rapidly increased since the start of the industrial revolution. Networks of surface in-situ carbon dioxide sensors provide precise and accurate measurements of the global carbon dioxide concentration, including large scale temporal, seasonal and latitudinal variations. However, these observations are too sparse to allow the establishment of sub-continental carbon budgets, limiting the accuracy of climate change projections and the ability to mitigate future levels of atmospheric carbon dioxide. Satellite observations can provide data with dense spatial and temporal coverage over regions poorly sampled by surface networks. Specifically, observations in the shortwave infrared region are well suited for constraining carbon fluxes as they can provide total column carbon dioxide with high sensitivity to the source and sink locations at the surface. The first dedicated greenhouse gases sensor, the Greenhouse gases Observing SATellite (GOSAT), was launched in January 2009 by the Japanese Aerospace eXploration Agency (JAXA) and has successfully started to acquire global observations of greenhouse gases, including carbon dioxide. The University of Leicester Full Physics (UOL-FP) retrieval algorithm has been designed to estimate total column carbon dioxide from GOSAT shortwave infrared observations. The initial results were compared to coincident ground based measurements for a number of locations and compared on a global scale to a model. This showed an accuracy and precison that should provide improved surface flux estimates. Additionally, a bias correction scheme was developed that reduced observed geographical biases, allowing surface flux uncertainties to be potentially reduced further. To further develop the UOL-FP retrieval algorithm, a simulator capable of creating realistic GOSAT observations was built, allowing the investigation of different retrieval algorithm modifications, which may lead to reduced source and sink flux uncertainties and therefore aid future climate change forecasts.
Download or read book Investigating Covariances in and for Carbon Dioxide Surface Flux Inversions written by Daniel Robert Wesloh and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current CO2 flux inversion systems use matrix representations of the spatial correlations and do not include correlations between the parts of the daily cycle. We set up a framework to test these assumptions and compare stochastic and deterministic representations of the posterior CO2 flux uncertainty. Producing deterministic posterior uncertainty matrices at reduced resolution with the same transport error as the full inversion produced uncertainty estimates that were lower than expected, and became lower still with coarsening resolution. Stochastic estimates of the posterior CO2 flux uncertainty provide similar information to the deterministic estimates at full resolution in the ideal case, and become more variable as the number of ensemble members used to construct the stochastic estimate decreases. We then investigate the temporal biogenic CO2 flux error correlations using the difference between eddy covariance and terrestrial carbon cycle estimates of the CO2 flux, construct a family of temporal correlation functions to describe these data, and recommend a member of that family for inversions. The new temporal correlation function performs as well as two correlation functions used in previous regional inversions at matching previously-published estimates of the uncertainties in the hourly CO2 fluxes at the site level and in the annual fluxes at the continental-average level at the same time. However, neither the new nor the existing correlations were able to match previously-published estimates of the uncertainty in the monthly flux at the continental-average scale. The investigation indicates that much of the room for improving the prior mean flux estimates from terrestrial carbon cycle models lies in improving the daily cycle, either within an inversion or in the terrestrial carbon cycle models. We integrate the new correlations into a pseudo-data experiment to see whether the new correlations perform better than previously-used correlations from the literature in a best case scenario. The new correlations recover the ``true'' continental-average CO2 flux better than the correlations from previous inversions in the ideal case. The new CO2 flux error temporal correlation functions merit further investigation for suitability for real-data inversions.
Download or read book Land Carbon Cycle Modeling written by Yiqi Luo and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate - changing geographic patterns of rainfall and the frequency of extreme weather - and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of this global carbon cycling are largely predicted over broad spatial scales and long periods of time by Earth system models. This book addresses the crucial question of how to assess, evaluate, and estimate the potential impact of the additional carbon to the land carbon cycle. The contributors describe a set of new approaches to land carbon cycle modeling for better exploring ecological questions regarding changes in carbon cycling; employing data assimilation techniques for model improvement; doing real- or near-time ecological forecasting for decision support; combining newly available machine learning techniques with process-based models to improve prediction of land carbon cycle under climate change. This new edition includes 7 new chapters on machine learning and its applications to carbon cycle research (5 chapters). on principles underlying carbon dioxide removal from the atmosphere (1 chapter), a contemporary active research and management issue, and on community infrastructure for ecological forecasting"--
Download or read book Handbook of Micrometeorology written by Xuhui Lee and published by Springer Science & Business Media. This book was released on 2006-01-20 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Micrometeorology is the most up-to-date reference for micrometeorological issues and methods related to the eddy covariance technique for estimating mass and energy exchange between the terrestrial biosphere and the atmosphere. It provides useful insight for interpreting estimates of mass and energy exchange and understanding the role of the terrestrial biosphere in global environmental change.
Download or read book Balancing Greenhouse Gas Budgets written by Benjamin Poulter and published by Elsevier. This book was released on 2022-05-05 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Balancing Greenhouse Gas Budgets: Accounting for Natural and Anthropogenic Flows of CO2 and other Trace Gases provides a synthesis of greenhouse gas budgeting activities across the world. Organized in four sections, including background, methods, case studies and opportunities, it is an interdisciplinary book covering both science and policy. All environments are covered, from terrestrial to ocean, along with atmospheric processes using models, inventories and observations to give a complete overview of greenhouse gas accounting. Perspectives presented give readers the tools necessary to understand budget activities, think critically, and use the framework to carry out initiatives. - Written by a combination of experts across career stages, presenting an integrated perspective for graduate students and professionals alike - Includes sections authored by those involved in both early and later IPCC assessments - Provides an interdisciplinary resource that spans many topics and methodologies in oceanic, land and atmospheric processes
Download or read book Assessment of Climate Change over the Indian Region written by R. Krishnan and published by Springer Nature. This book was released on 2020-06-12 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book discusses the impact of human-induced global climate change on the regional climate and monsoons of the Indian subcontinent, adjoining Indian Ocean and the Himalayas. It documents the regional climate change projections based on the climate models used in the IPCC Fifth Assessment Report (AR5) and climate change modeling studies using the IITM Earth System Model (ESM) and CORDEX South Asia datasets. The IPCC assessment reports, published every 6–7 years, constitute important reference materials for major policy decisions on climate change, adaptation, and mitigation. While the IPCC assessment reports largely provide a global perspective on climate change, the focus on regional climate change aspects is considerably limited. The effects of climate change over the Indian subcontinent involve complex physical processes on different space and time scales, especially given that the mean climate of this region is generally shaped by the Indian monsoon and the unique high-elevation geographical features such as the Himalayas, the Western Ghats, the Tibetan Plateau and the adjoining Indian Ocean, Arabian Sea, and Bay of Bengal. This book also presents policy relevant information based on robust scientific analysis and assessments of the observed and projected future climate change over the Indian region.
Download or read book Spatiotemporal Dynamics of Carbon Dioxide and Methane Fluxes from Agricultural and Restored Wetlands in the California Delta written by Jaclyn Hatala and published by . This book was released on 2013 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Sacramento-San Joaquin Delta in California was drained for agriculture and human settlement over a century ago, resulting in extreme rates of soil subsidence and release of CO2 to the atmosphere from peat oxidation. Because of this century-long ecosystem carbon imbalance where heterotrophic respiration exceeded net primary productivity, most of the land surface in the Delta is now up to 8 meters below sea level. To potentially reverse this trend of chronic carbon loss from Delta ecosystems, land managers have begun converting drained lands back to flooded ecosystems, but at the cost of increased production of CH4, a much more potent greenhouse gas than CO2. To evaluate the impacts of inundation on the biosphere-atmophere exchange of CO2 and CH4 in the Delta, I first measured and analyzed net fluxes of CO2 and CH4 for two continuous years with the eddy covariance technique in a drained peatland pasture and a recently re-flooded rice paddy. This analysis demonstrated that the drained pasture was a consistent large source of CO2 and small source of CH4, whereas the rice paddy was a mild sink for CO2 and a mild source of CH4. However more importantly, this first analysis revealed nuanced complexities for measuring and interpreting patterns in CO2 and CH4 fluxes through time and space. CO2 and CH4 fluxes are inextricably linked in flooded ecosystems, as plant carbon serves as the primary substrate for the production of CH4 and wetland plants also provide the primary transport pathway of CH4 flux to the atmosphere. At the spatially homogeneous rice paddy during the summer growing season, I investigated rapid temporal coupling between CO2 and CH4 fluxes. Through wavelet Granger-causality analysis, I demonstrated that daily fluctuations in growing season gross ecosystem productivity (photosynthesis) exert a stronger control than temperature on the diurnal pattern in CH4 flux from rice. At a spatially heterogeneous restored wetland site, I analyzed the spatial coupling between net CO2 and CH4 fluxes by characterizing two-dimensional patterns of emergent vegetation within eddy covariance flux footprints. I combined net CO2 and CH4 fluxes from three eddy flux towers with high-resolution remote sensing imagery classified for emergent vegetation and an analytical 2-D flux footprint model to assess the impact of vegetation fractal pattern and abundance on the measured flux. Both emergent vegetation abundance and fractal complexity are important metrics for constraining variability within CO2 and CH4 flux in this complex landscape. Scaling between carbon flux measurements at individual sites and regional scales depends on the connection to remote sensing metrics that can be broadly applied. In the final chapter of this dissertation, I analyzed a long term dataset of hyperspectral ground reflectance measurements collected within the flux tower footprints of three structurally similar yet functionally diverse ecosystems: an annual grassland, a degraded pepperweed pasture, and a rice paddy. The normalized difference vegetation index (NDVI) was highly correlated with landscape-scale photosynthesis across all sites, however this work also revealed new potential spectral indices with high correlation to both net and partitioned CO2 fluxes. This analysis within this dissertation serves as a framework for considering the impacts of temporal and spatial heterogeneity on measured landscape-scale fluxes of CO2 and CH4. Scaling measurements through time and space is especially critical for interpreting fluxes of trace gases with a high degree of temporal heterogeneity, like CH4 and N2O, from landscapes that have a high degree of spatial heterogeneity, like wetlands. This work articulates a strong mechanistic connection between CO2 and CH4 fluxes in wetland ecosystems, and provides important management considerations for implementing and monitoring inundated land-use conversion as an effective carbon management strategy in the California Delta.
Download or read book Eddy Covariance written by Marc Aubinet and published by Springer Science & Business Media. This book was released on 2012-01-18 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly practical handbook is an exhaustive treatment of eddy covariance measurement that will be of keen interest to scientists who are not necessarily specialists in micrometeorology. The chapters cover measuring fluxes using eddy covariance technique, from the tower installation and system dimensioning to data collection, correction and analysis. With a state-of-the-art perspective, the authors examine the latest techniques and address the most up-to-date methods for data processing and quality control. The chapters provide answers to data treatment problems including data filtering, footprint analysis, data gap filling, uncertainty evaluation, and flux separation, among others. The authors cover the application of measurement techniques in different ecosystems such as forest, crops, grassland, wetland, lakes and rivers, and urban areas, highlighting peculiarities, specific practices and methods to be considered. The book also covers what to do when you have all your data, summarizing the objectives of a database as well as using case studies of the CarboEurope and FLUXNET databases to demonstrate the way they should be maintained and managed. Policies for data use, exchange and publication are also discussed and proposed. This one compendium is a valuable source of information on eddy covariance measurement that allows readers to make rational and relevant choices in positioning, dimensioning, installing and maintaining an eddy covariance site; collecting, treating, correcting and analyzing eddy covariance data; and scaling up eddy flux measurements to annual scale and evaluating their uncertainty.
Download or read book Remote Sensing of Water Resources Disasters and Urban Studies written by Ph.D., Prasad S. Thenkabail and published by CRC Press. This book was released on 2015-10-02 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way it demonstrates the experience, utility, methods and models used in studying a wide array of water applications. There are more than 100 leading global experts in the field contributing to this work.
Download or read book Improving Characterization of Anthropogenic Methane Emissions in the United States written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-08-25 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding, quantifying, and tracking atmospheric methane and emissions is essential for addressing concerns and informing decisions that affect the climate, economy, and human health and safety. Atmospheric methane is a potent greenhouse gas (GHG) that contributes to global warming. While carbon dioxide is by far the dominant cause of the rise in global average temperatures, methane also plays a significant role because it absorbs more energy per unit mass than carbon dioxide does, giving it a disproportionately large effect on global radiative forcing. In addition to contributing to climate change, methane also affects human health as a precursor to ozone pollution in the lower atmosphere. Improving Characterization of Anthropogenic Methane Emissions in the United States summarizes the current state of understanding of methane emissions sources and the measurement approaches and evaluates opportunities for methodological and inventory development improvements. This report will inform future research agendas of various U.S. agencies, including NOAA, the EPA, the DOE, NASA, the U.S. Department of Agriculture (USDA), and the National Science Foundation (NSF).
