Asset Details
Do you wish to reserve the book?
Revised methodology for CO2 and CH4 measurements at remote sites using a working standard-gas-saving system
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Revised methodology for CO2 and CH4 measurements at remote sites using a working standard-gas-saving system
Do you wish to request the book?
Revised methodology for CO2 and CH4 measurements at remote sites using a working standard-gas-saving system
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Revised methodology for CO2 and CH4 measurements at remote sites using a working standard-gas-saving system
2025
Overview
We have revised a calculation method of mole fractions and uncertainties for in situ CO2 and CH4 measurements with a working standard-gas-saving system. It uses on-site compressed air to track the baseline drift of sensors. The Japan–Russia Siberian Tall Tower Inland Observation Network (JR-STATION) is made up of this system, which was installed across nine different sites in Siberia. The system acquires semi-continuous data by alternating between sampling air from multiple altitudes through switched flow paths and recording several minutes of averaged data for each altitude. We estimated the sensor repeatability (ur) based on the measurement of on-site compressed air. The ur for CO2 and CH4 was mostly around 0.05 ppm and below 5 ppb, respectively. The combined standard uncertainties (uc(x)) of time-averaged ambient air measurements were sometimes higher than the ur for each period because the data included atmospheric variability during the measurement period of several minutes. Data users should consider the difference between the ur and uc(x) to select optimal data, depending on their focusing spatial scale. The CO2 and CH4 data measured with a non-dispersive infrared (NDIR) analyzer and a tin dioxide sensor (TOS) exhibited good agreement with those measured by cavity ring-down spectroscopy (CRDS).
Publisher
Copernicus GmbH,Copernicus Publications
Subject
