Topic
Total Carbon Column Observing Network
About: Total Carbon Column Observing Network is a research topic. Over the lifetime, 209 publications have been published within this topic receiving 8946 citations. The topic is also known as: TCCON.
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TL;DR: The TCCON provides a link between satellite measurements and the extensive ground-based in situ network and achieves an accuracy and precision in total column measurements that is unprecedented for remote-sensing observations.
Abstract: A global network of ground-based Fourier transform spectrometers has been founded to remotely measure column abundances of CO_2, CO, CH_4, N_(2)O and other molecules that absorb in the near-infrared. These measurements are directly comparable with the near-infrared total column measurements from space-based instruments. With stringent requirements on the instrumentation, acquisition procedures, data processing and calibration, the Total Carbon Column Observing Network (TCCON) achieves an
accuracy and precision in total column measurements that is unprecedented for remotesensing observations (better than 0.25% for CO_2). This has enabled carbon-cycle science
investigations using the TCCON dataset, and allows the TCCON to provide a link between satellite measurements and the extensive ground-based in situ network.
768 citations
TL;DR: The Greenhouse Gases Observing Satellite (GOSAT) monitors carbon dioxide and methane globally from space using two instruments using an ultraviolet (UV), visible, near infrared, and SWIR radiometer.
Abstract: The Greenhouse Gases Observing Satellite (GOSAT) monitors carbon dioxide (CO2) and methane (CH4) globally from space using two instruments. The Thermal and Near Infrared Sensor for Carbon Observation Fourier-Transform Spectrometer (TANSO-FTS) detects gas absorption spectra of the solar short wave infrared (SWIR) reflected on the Earth's surface as well as of the thermal infrared radiated from the ground and the atmosphere. TANSO-FTS is capable of detecting three narrow bands (0.76, 1.6, and 2.0 μm) and a wide band (5.5-14.3 μm) with 0.2 cm−1 spectral resolution (interval). The TANSO Cloud and Aerosol Imager (TANSO-CAI) is an ultraviolet (UV), visible, near infrared, and SWIR radiometer designed to detect cloud and aerosol interference and to provide the data for their correction. GOSAT is placed in a sun-synchronous orbit 666 km at 13:00 local time, with an inclination angle of 98 °. A brief overview of the GOSAT project, scientific requirements, instrument designs, hardware performance, on-orbit operation, and data processing is provided.
734 citations
California Institute of Technology1, Goddard Space Flight Center2, University of Bremen3, National Institute of Water and Atmospheric Research4, Woods Hole Oceanographic Institution5, University of California, Berkeley6, Harvard University7, Haverford College8, Commonwealth Scientific and Industrial Research Organisation9, Colorado State University10, Climate Monitoring and Diagnostics Laboratory11, Goodrich Corporation12
TL;DR: The Orbiting Carbon Observatory (OCO) as mentioned in this paper is the first global, space-based measurements of atmospheric carbon dioxide (CO 2 ) with the precision, resolution and coverage needed to characterize CO 2 sources and sinks on regional scales.
539 citations
TL;DR: In this paper, the column-average dry air mole fractions of atmospheric carbon dioxide and methane are inferred from observations of backscattered sunlight conducted by the Greenhouse gases Observing SATellite (GOSAT).
Abstract: [1] The column-average dry air mole fractions of atmospheric carbon dioxide and methane and are inferred from observations of backscattered sunlight conducted by the Greenhouse gases Observing SATellite (GOSAT). Comparing the first year of GOSAT retrievals over land with colocated ground-based observations of the Total Carbon Column Observing Network (TCCON), we find an average difference (bias) of −0.05% and −0.30% for and with a station-to-station variability (standard deviation of the bias) of 0.37% and 0.26% among the 6 considered TCCON sites. The root-mean square deviation of the bias-corrected satellite retrievals from colocated TCCON observations amounts to 2.8 ppm for and 0.015 ppm for Without any data averaging, the GOSAT records reproduce general source/sink patterns such as the seasonal cycle of suggesting the use of the satellite retrievals for constraining surface fluxes.
379 citations
California Institute of Technology1, Harvard University2, National Center for Atmospheric Research3, Lawrence Berkeley National Laboratory4, Goddard Space Flight Center5, University of Waterloo6, University of York7, Texas A&M University8, Langley Research Center9, University of Wollongong10, Princeton University11, National Oceanic and Atmospheric Administration12, Max Planck Society13, Cooperative Institute for Research in Environmental Sciences14, National University of Colombia15, National Institute of Water and Atmospheric Research16
TL;DR: In this paper, the authors present a calibration of TCCON data using WMO-scale in-strumentation aboard aircraft that measured profiles over four Total Carbon Column Observing Network (TCCON) stations.
Abstract: The Total Carbon Column Observing Network (TCCON) produces precise measurements of the column av- erage dry-air mole fractions of CO2, CO, CH4, N2O and H2O at a variety of sites worldwide. These observations rely on spectroscopic parameters that are not known with suffi- cient accuracy to compute total columns that can be used in combination with in situ measurements. The TCCON must therefore be calibrated to World Meteorological Orga- nization (WMO) in situ trace gas measurement scales. We present a calibration of TCCON data using WMO-scale in- strumentation aboard aircraft that measured profiles over four TCCON stations during 2008 and 2009. These calibrations are compared with similar observations made in 2004 and 2006. The results indicate that a single, global calibration factor for each gas accurately captures the TCCON total col- umn data within error.
368 citations