日本地球惑星科学連合2016年大会

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インターナショナルセッション(ポスター発表)

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS01] Global Carbon Cycle Observation and Analysis

2016年5月24日(火) 17:15 〜 18:30 ポスター会場 (国際展示場 6ホール)

コンビーナ:*三枝 信子(国立環境研究所)、Patra Prabir(Research Institute for Global Change, JAMSTEC)、町田 敏暢(国立環境研究所)、茶谷 聡(国立環境研究所)

17:15 〜 18:30

[AAS01-P07] Characteristics of Version 1.0 CO2 data retrieved from TIR band of GOSAT/TANSO-FTS

*齋藤 尚子1木本 周平1杉村 亮1今須 良一2塩見 慶3久世 暁彦3町田 敏暢4澤 庸介5松枝 秀和5 (1.千葉大学環境リモートセンシング研究センター、2.東京大学大気海洋研究所、3.宇宙航空研究開発機構、4.国立環境研究所、5.気象研究所)

キーワード:satellite remote sensing, retrieval algorithm, validation analysis, CO2

Greenhouse Gases Observing Satellite (GOSAT) was launched on 23 January 2009, and has continued to make global observations of greenhouse gases, including both nadir and off-nadir measurements, for more than seven years since its launch. Carbon dioxide (CO2) concentrations in several atmospheric layers can be retrieved from radiance spectra of the thermal infrared (TIR) band of Thermal and Near-infrared Sensor for Carbon Observation Fourier Transform Spectrometer (TANSO-FTS) on board the GOSAT. We have analyzed the latest released version of the TIR Level 2 (L2) CO2 product (Version 1.0). We compared TANSO-FTS TIR V1.0 CO2 data and CO2 data obtained in the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) project. The comparisons over several airports showed that the TIR V1.0 CO2 data had a 1-2% negative bias in the middle troposphere; the magnitude of the bias varied seasonally and regionally. The comparisons in the upper troposphere and lower stratosphere (UTLS), where the TIR band of TANSO-FTS is most sensitive to CO2 concentrations, showed that the averages of the TIR upper atmospheric CO2 data agreed well with the averages of the data obtained by the CONTRAIL Continuous CO2 Measuring Experiment (CME) within 0.1% and 0.5% for all of the seasons in the Southern and Northern Hemisphere, respectively. The magnitude of bias in the TIR upper atmospheric CO2 data did not have a clear longitudinal dependence. The comparison results for flights in northern low and middle latitudes showed that the agreement between TIR and CONTRAIL CO2 data in the upper troposphere was worse in the spring and summer than in the fall and winter. The negative bias in northern middle latitudes made the maximum of TIR CO2 concentrations lower than that of CONTRAIL CO2 concentrations, which leads to underestimate the amplitude of CO2 seasonal variation. CO2 growth rate estimated from the TIR UTLS CO2 data from 2010 to 2012 was slightly lower (-0.6 ppm) than that from the CONTRAIL level flight data during the same period, which increases the differences between TIR and CONTRAIL CO2 concentrations in UTLS.