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87 results for “trace gas”
Trace Gas Fluxes and Soil N Dynamics in Simulated Hurricane Experiment at Harvard Forest 1989-1991
This study examined the fluxes of greenhouse gases between soils and the atmosphere in the Simulated Hurricane Experiment. The abstract from the published paper (see Methods) is reproduced below. "Fluxes of nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4) between soils and the atmosphere were measured monthly for one year in a 77-year-old temperate hardwood forest following a simulated hurricane blowdown. Emissions of CO2 and uptake of CH4 for the control plot were 4.92 MT C ha-1 y-1 and 3.87 kg C ha-1 y-1, respectively, and were not significantly different from the blowdown plot. Annual N2O emissions in the control plot (0.23 kg N ha-1 y-1) were low and were reduced 78% by the blowdown. Net N mineralization was not affected by the blowdown. Net nitrification was greater in the blowdown than in the control, however, the absolute rate of net nitrification, as well as the proportion of mineralized N that was nitrified, remained low. Fluxes of CO2 and CH4 were correlated positively to soil temperature, and CH4 uptake showed a negative relationship to soil moisture. Substantial resprouting and leafing out of downed or damaged trees, and increased growth of understory vegetation following the blowdown, were probably responsible for the relatively small differences in soil temperature, moisture, N availability, and net N mineralization and net nitrification between the control and blowdown plots, thus resulting in no change in CO2 or CH4 fluxes, and no increase in N2O emission."
Trace Gas Fluxes on the Main Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI (1991 to 2019)
Dataset Abstract Trace gases (nitrous oxide, methane, and carbon dioxide) have been measured on the LTER Main Site since 1991 and on Successional and Forest sites since 1993. Trace gas fluxes are measured twice monthly or monthly until the ground freezes using permanently-installed, in-situ static chambers. CH4 and N2O are analyzed with gas-chromatography and CO2 with an infrared gas analyzer. Soil moisture and temperature are measured during sampling. original data source http://lter.kbs.msu.edu/datasets/16
Trace gas mixing ratios measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>The authors would highly appreciate to be contacted if the data is used for any purpose.</p> <p>We measured mixing ratios of CO, CO<sub>2</sub> and CH<sub>4</sub> with a PICARRO G2401 Gas Analyzer. Ozone (O<sub>3</sub>) mixing ratios were measured with a 2B Technology ozone monitor, model 205. We report five-minute averaged data cleaned from exhaust gas influence. Temporal coverage is from December 20, 2016 to April 10, 2017.</p> <p>The trace gas concentrations represent a large number of atmospheric processes that happen on different time scales. CO for example, has basically no sources other than combustion and can hence be used as tracer for air mass transport from regions with combustion activities (e.g., South Africa). CO has a lifetime of a few weeks. CO<sub>2</sub> and CH<sub>4</sub> are longer-lived trace gases which disperse globally. The data set shows that concentrations in the Northern Hemisphere are higher than in the Southern Hemisphere. Both trace gases are emitted by anthropogenic activities as well as natural sources. Over the cruise track, areas of the Southern Ocean were passed where these trace gases either outgas or are absorbed. Ozone is a secondary trace gas, meaning that it is formed in the atmosphere. It’s concentrations are relatively low.</p> <p>All trace gases data have been cleaned from exhaust gas influence.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ACESPACE_trace_gas_concentration.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> <li>change_log.txt, metadata, text</li> </ul> <p>NaN values denote missing values because of e.g., ship exhaust contamination or instrument maintenance. For latitude and longitude, NaN values are noted in cases where position data was not available for the given time period.</p> <p><strong>Dataset license</strong></p> <p>This trace as mixing ratio dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p> <p><strong>Change log</strong></p> <p>v1.1 - data file updated<br> - Ozone was corrected because a wrong calibration factor was applied in version 1.0<br> - CO2 and CH4 are now dry mixing ratios, the previous data were not corrected for water vapour<br> - README updated accordingly with details of changes to processing<br> - added change_log.txt file</p> <p>v1.0 - initial release of dataset</p>
Soil respiration data measured with LI-7810 CH4/CO2/H2O Trace Gas Analyzer in Tangermuende/Germany in August 2022
<p>The dataset is associated with the publication Koschorreck, M., Kamjunke, N., Koedel, U., Rode, M., Schuetze, C., and Bussmann, I.: Diurnal versus spatial variability of greenhouse gas emissions from an anthropogenic modified German lowland river, Biogeosciences Discuss. [preprint], https://doi.org/10.5194/bg-2023-176, in review, 2023. </p> <p>It shows CO2 and CH4 initial concentrations and flux data measured with the LICOR 7810 instrument and calculated with the SoilFluxPro software V5.3.</p>
Winter time trace gas concentrations during SCALE in 2019
<p>This dataset details the results of measuring climate-relevant trace gases collected during the SCALE 2019 Winter Cruise. </p> <p>The results includ the concentrations of dimethylsulfide (DMS), dimethylsulfoniopropionate (DMSP), dimethylsulfoxide (DMSO), and isoprene in surface seawater, and the concentrations of DMS in the atmosphere.</p> <p> </p>
Hubbard Brook Experimental Forest: Ice Storm Experiment Trace Gas
Trace gas fluxes were measured using the in situ chamber design similar to that described by Bowden and others (1990, 1991). Static gas soil sampling chambers (four per plot) of 20 cm diameter (ID) polyvinyl chloride (PVC) were placed on permanently installed PVC base rings immediately prior to measurement. At 0, 10, 20, and 30 min following placement of the chamber on the base, 8-mL gas samples were collected from gas sampling ports in the center of the chamber top by syringe. Samples were transferred to evacuated glass vials and stored at room temperature prior to analysis by gas chromatography (GC). CO2, N2O, and CH4 were analyzed on a Shimadzu GC-14 GC with thermal conductivity (CO2), electron capture (N2O), and flame ionization (CH4) detectors. These GC’s were capable of detecting ambient levels of these gases. Fluxes were calculated from the linear rate of change in gas concentration, the chamber internal volume and soil surface area. Flux rate calculations were not corrected for actual in situ temperature and pressure. Single points were removed from regressions if they were more than six times higher or lower than the other three values or if they contradicted a clear trend in the other three points. This procedure prevents inclusion of high flux rates based on non-significant regressions. Non-significant regressions were used in flux calculations to avoid biasing the statistical distribution of rates by setting all non-significant regressions to zero. Gas samples were collected prior to any icing treatment in September and October 2015, and then for 2 years after the icing treatments were initially applied (1st icing: 1/27/16; 2nd icing, only in MIDx2 plots: 1/14/17) in August 2016, July 2017, and October 2017.
Snow manipulation experiment, effect on soil trace gas production at the Kellogg Biological Station, Hickory Corners, MI (1950 to 2013)
Dataset Abstract This dataset contains data from Leilei Ruan’s thesis work focused the effect of winter thaws and snow cover on soil N2O fluxes. original data source http://lter.kbs.msu.edu/datasets/162
Dataset - Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing
<p>This dataset was created by Marc Schwaerzel (marc.schwaerzel@empa.ch) and is intended to get along with the Schwaerzel et al. (2020) AMT publication (amt-2020-146) . The data and the data structure is described in the<em> <strong>readme.txt</strong></em> file.</p> <p>The dataset contains:</p> <p>- libRadtran input files</p> <p>- libRadtran output</p> <p>- name lists</p> <p>- GRAL simulation outputs</p>
Data set supporting Journal article: Siebicke, L., and Emad, A., "True eddy accumulation trace gas flux measurements: proof of concept", Atmos. Meas. Tech., 12, 1–28, 2019.
<p>This data set contains carbon dioxide trace gas flux measurements obtained by the true eddy accumulation technique as described in the research article:</p> <p>Siebicke, L., and Emad, A., "True eddy accumulation trace gas flux measurements: proof of concept", Atmos. Meas. Tech., 12, 1–28, 2019.</p> <p>It contains meteorological measurements (file "meteo.csv"), turbulent energy fluxes (file "energy_fluxes.csv"), three-diomensional wind vector measurements ("file wind.csv"), and carbon dioxide trace gas fluxes obtained by true eddy accumulation (file "co2_flux_TEA.csv") and eddy covariance using data from two separate anomemoters (files "co2_flux_EC_TEA_sonic.csv" and "co2_flux_EC_EC_sonic.csv").</p>
Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders: Synthetic dataset for validation of trace gas retrieval algorithms
<p>This data set is described in detail in a paper submitted to AMTD:</p> <p><strong>Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders - Part I: Synthetic dataset for validation of trace gas retrieval algorithms</strong></p> <p>by Claudia Emde, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and<br> Bernhard Mayer</p> <p> </p> <p>The subdirectory <em>boxcloud</em> includes synthetic reflectances for clearsky, 1D cloud and box cloud.</p> <p>The subdirectory <em>les_cloud</em> includes synthetic reflectances for the LES cloud scenario for low earth orbit (<em>leo</em>) and geostationary orbit (<em>geo</em>).</p> <p>All data are provided in <em>netcdf</em> format.</p> <p> </p>
Spectral data used in "Stratospheric-trace-gas-profile retrievals from balloon-borne limb imaging of mid-infrared emission spectra"
<p>The calibrated spectral data used in the trace gas retrievals by the Limb Imaging Fourier Transform Spectrometer Experiment (LIFE).</p>
Wildfire Information and Trace Gas Enhancement Ratios
<p>Wildfire Information, FRP statistics, TROPOMI ∆NO2/∆CO, and TROPOMI ∆HCHO/∆CO from "Analyzing the Impact of Evolving Combustion Conditions on the Composition of Wildfire Emissions Using Satellite Data"</p>
Trace gas on the Resource Gradient Study at the Kellogg Biological Station, Hickory Corners, MI (2001 to 2003)
Dataset Abstract This study provides a gradient of nitrogen fertilization under rainfed and irrigated conditions. Nitrogen applications range from 0 to 291 kg N/ha . Plots are 5×30 m arranged in each of 4 replicate blocks. The crop rotation (wheat, corn, soybean) follows the pattern of the main site. The study started in 2002 as a rainfed only study on the south end of the main site. In 2005 a new rainfed and irrigated study was started at the south end of the lysimeter field. The original study site was discontinued in 2006. Crop yields, nitrous oxide and soil temperature, moisture and nitrogen data are available for this study. Treatments are numbered as follows: 1 = 0 kg N/ha, 2= 34 kg N/ha, 3= 67 kg N/ha, 4= 101 kg N/ha, 5= 134 kg N/ha, 6= 168 kg N/ha, 7 = 202 kg N/ha, 8= 246 kg N/ha, 9= 291 kg N/ha. original data source http://lter.kbs.msu.edu/datasets/79
Trace gas emissions from alpine tundra soils: Gas concentration data.
Trace gas samples were collected from 3 alpine tundra vegetation community types (dry meadow, moist meadow, wet meadow) on Niwot Ridge during the summer months of 1992 and 1993. In addition, samples were collected from a set of control and nitrogen amended plots in both dry and wet meadow community types. Soil temperatures were measured in conjunction with the trace gas sampling.
Trace Gas Analyzer Data for Cobb Mill Creek in Oyster, VA 2007-2009
A Trace Gas Analyzer (TGA) was used to collect data on fluxes of nitrous oxide and carbon dioxide emanating from a salt marsh in Oyster, VA. This data contains 1/2-hour summaries of the raw data.
Data in support of manuscript submitted to JGR-Planets "Strong variability of Martian water ice clouds during dust storms revealed from ExoMars Trace Gas Orbiter/NOMAD"
<p>These files contain data underlying figures for the submission version of:</p> <p>Strong variability of Martian water ice clouds during dust storms revealed from ExoMars Trace Gas Orbiter/NOMAD</p> <p>which was submitted to JGR: Planets for review. </p> <p>The access to the dataset will be closed until the final version of the paper is accepted.</p>
Gas phase acid, ammonia and aerosol ionic and trace element concentrations at Cape Verde during the Reactive Halogens in the Marine Boundary Layer (RHaMBLe) 2007 intensive sampling period
<p>The data files are in NASA Ames Format.</p> <p>A full description of the data set has been published in the journal<br> Earth System Science Data at http://www.earth-syst-sci-data.net/5/385.</p> <p> </p>
Data from: Soil trace gas fluxes along orthogonal precipitation and soil fertility gradients in tropical lowland forests of Panama
Open the record for dataset details and reuse information.
Trace gas movement in the soil profile at the Kellogg Biological Station, Hickory Corners, MI (2010 to 2012)
Dataset Abstract The distribution of trace gasses in the soil profile was investigated using tracer and monitoring techniques. This data is part of Iurii Shcherbak thesis work. original data source http://lter.kbs.msu.edu/datasets/128
Tracing low-CO2 fluxes in soil incubation and 13C labeling experiments: a simplified gas sampling system for respiration and photosynthesis measurements
<p>Data set containing data from feature tests (1-3) as well as photosynthesis and respiration measurements.</p>
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