| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2016-06-13 |
| タイトル |
|
|
タイトル |
Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
metadata only access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_14cb |
| 著者 |
田中, 智章
Yates, Emma
Iraci, Laura T.
Johnson, Matthew S.
Gore, Warren
Tadic, Jovan M.
Loewenstein, Max
久世, 暁彦
Frankenberg, Christian
Butz, Andre
吉田, 幸生
Tanaka, Tomoaki
Yates, Emma
Iraci, Laura T.
Johnson, Matthew S.
Gore, Warren
Tadic, Jovan M.
Loewenstein, Max
Kuze, Akihiko
Frankenberg, Christian
Butz, Andre
Yoshida, Yukio
|
| 著者所属 |
|
|
|
NASA Ames Research Center |
| 著者所属 |
|
|
|
NASA Ames Research Center |
| 著者所属 |
|
|
|
NASA Ames Research Center |
| 著者所属 |
|
|
|
NASA Ames Research Center |
| 著者所属 |
|
|
|
NASA Ames Research Center |
| 著者所属 |
|
|
|
Carnegie Institution for Science, Stanford |
| 著者所属 |
|
|
|
NASA Ames Research Center |
| 著者所属 |
|
|
|
宇宙航空研究開発機構(JAXA) |
| 著者所属 |
|
|
|
California Institute of Technology |
| 著者所属 |
|
|
|
Karlsruhe Institute of Technology |
| 著者所属 |
|
|
|
国立環境研究所 |
| 著者所属（英） |
|
|
|
en |
|
|
NASA Ames Research Center |
| 著者所属（英） |
|
|
|
en |
|
|
NASA Ames Research Center |
| 著者所属（英） |
|
|
|
en |
|
|
NASA Ames Research Center |
| 著者所属（英） |
|
|
|
en |
|
|
NASA Ames Research Center |
| 著者所属（英） |
|
|
|
en |
|
|
NASA Ames Research Center |
| 著者所属（英） |
|
|
|
en |
|
|
Carnegie Institution for Science, Stanford |
| 著者所属（英） |
|
|
|
en |
|
|
NASA Ames Research Center |
| 著者所属（英） |
|
|
|
en |
|
|
Japan Aerospace Exploration Agency(JAXA) |
| 著者所属（英） |
|
|
|
en |
|
|
California Institute of Technology |
| 著者所属（英） |
|
|
|
en |
|
|
Karlsruhe Institute of Technology |
| 著者所属（英） |
|
|
|
en |
|
|
National Institute for Environmental Studies |
| 出版者（英） |
|
|
出版者 |
Institute of Electrical and Electronics Engineers (IEEE) |
| 書誌情報 |
en : IEEE Transactions on Geoscience and Remote Sensing
巻 54,
号 8,
p. 4367-4375,
発行日 2016-04-27
|
| 抄録（英） |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The Alpha Jet Atmospheric eXperiment (AJAX) is a project to measure the atmospheric profiles of greenhouse gases (GHGs) and ozone (O3) regularly over California and Nevada.Airborne instruments measuring GHGs and O3 are installed in a wing pod of an Alpha Jet aircraft and operated from the National Aeronautics and Space Administration Ames Research Center at Moffett Field, CA. The instruments yield precise and accurate in situ vertical profiles of atmospheric carbon dioxide(CO2), methane (CH4), and O3. Measurements of vertical profiles of GHGs and O3 over Railroad Valley, NV have been conducted directly under the Greenhouse gases Observing SATellite (GOSAT) over passes on a monthly basis as part of the AJAX project since June 2011. The purpose of this work is to calculate aircraft-based dry-air mole fractions of the GHGs for the validation of GOSAT data products. This study expands and improves our previous comparisons by evaluating three algorithms against 24 months of in situ data collected over a Gain-M target. We used three different algorithms: Atmospheric CO2 Observations from Space (ACOS v3.4r3), Remote Sensing of Greenhouse Gases for Carbon Cycle Modeling (RemoteC v2.3.5FP), and National Institute for Environmental Studies (NIES v2.11).We find that the CO2 average differences of ACOS and RemoteC from AJAX are 0.26% and 0.24%, respectively. The difference between NIES and AJAX is 0.96%, which is higher than that of ACOS and RemoteC. The CH4 average differences for RemoteC and NIES are 2.1% and 1.7%, respectively. |
| 内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
形態: カラー図版あり |
| 内容記述（英） |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Physical characteristics: Original contains color illustrations |
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0196-2892 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA00231483 |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
http://dx.doi.org/10.1109/TGRS.2016.2539973 |
|
|
関連名称 |
info:doi/10.1109/TGRS.2016.2539973 |
| 資料番号 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
資料番号: PA1610007000 |
