BIP! Finder - Using XCO&lt;sub&gt;2&lt;/sub&gt; retrievals for assessing the long-term consistency of NDACC/FTIR data sets

2014 • Using XCO<sub>2</sub> retrievals for assessing the long-term consistency of NDACC/FTIR data sets

Authors: Nicholas M. Deutscher; Dan Weaver; Bernard Lejeune; Emmanuel Mahieu; Uwe Raffalski; Thorsten Warneke; Nicholas B. Jones; Frank Hase; Emanuel Christner; David W. T. Griffith; Justus Notholt; A. Wiegele; Dan Smale; S. Dohe; J. Mendonca; Mathias Palm; Voltaire A. Velazco; Rigel Kivi; Eliezer Sepúlveda; Yenny González; John Robinson; Kimberly Strong; Thomas Blumenstock; Matthias Schneider; Sabine Barthlott; Omaira García; Pauli Heikkinen

Venue: Atmospheric Measurement Techniques

Type: Publication

Abstract: Abstract. Within the NDACC (Network for the Detection of Atmospheric Composition Change), more than 20 FTIR (Fourier-transform infrared) spectrometers, spread worldwide, provide long-term data records of many atmospheric trace gases. We present a method that uses measured and modelled XCO2 for assessing the consistency of these NDACC data records. Our XCO2 retrieval setup is kept simple so that it can easily be adopted for any NDACC/FTIR-like measurement made since the late 1950s. By a comparison to coincident TCCON (Total Carbon Column Observi... (read more)

Impact:

1.9396033E-8 4.9983244E-9 36 12

/ Attention: 0 26

Topics: Remote sensing

DOI: 10.5194/amt-8-1555-2015

External links: Crossref OpenAIRE

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