2016.1.14
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References Published in 2015

(January 14, 2016 Updated)
1 Alexe, M., Bergamaschi, P., Segers, A., Detmers, R., Butz, A., Hasekamp, O., Guerlet, S., Parker, R., Boesch, H., Frankenberg, C., Scheepmaker, R. A., Dlugokencky, E., Sweeney, C., Wofsy, S. C., Kort, E. A.: Inverse modelling of CH4 emissions for 2010-2011 using different satellite retrieval products from GOSAT and SCIAMACHY, Atmos. Chem. Phys., 15, 113-133, doi:10.5194/acp-15-113-2015, 2015.
2 Berchet, A., Pison, I., Chevallier, F., Paris, J.-D., Bousquet, P., Bonne, J.-L., Arshinov, M.Y., Belan, B.D., Cressot, C., Davydov, D.K., Dlugokencky, E.J., Fofonov, A.V., Galanin, A., Lavrič, J., Machida, T., Parker, R., Sasakawa, M., Spahni, R., Stocker, B.D., Winderlich, J.:
Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion
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Biogeosciences, 12, 5393-5414, doi:10.5194/bg-12-5393-2015, 2015.
3 Chevallier, F.:
On the statistical optimality of CO2 atmospheric inversions assimilating CO2 column retrievals

Atmos. Chem. Phys., 15, 11133-11145, doi:10.5194/acp-15-11133-2015, 2015.
4 Cho, J., Goo, T., and Shin, J.:
Application of Seasonal AERI Reference Spectrum for the Improvement of Cloud data Filtering Method
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Korean Journal of Remote Sensing, 31, 409-419, doi:10.7780/kjrs.2015.31.5.5, 2015.
5 Deng, F., Jones, D.B.A., Walker, T.W., Keller, M., Bowman, K.W., Henze, D.K., Nassar, R., Kort, E.A., Wofsy, S.C., Walker, K.A., Bourassa, A.E., Degenstein, D.A.:
Sensitivity analysis of the potential impact of discrepancies in stratosphere-troposphere exchange on inferred sources and sinks of CO2
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Atmos. Chem. Phys., 15, 11773-11788, doi:10.5194/acp-15-11773-2015, 2015.
6 Detmers, R.G., Hasekamp, O., Aben, I., Houweling, S., van Leeuwen, T.T., Butz, A., Landgraf, J., Köhler, P., Guanter, L., Poulter, B.:
Anomalous carbon uptake in Australia as seen by GOSAT
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Geophys. Res. Lett., 42, 8177-8184, doi:10.1002/2015GL065161, 2015.
7 Geddes, A., and Bösch, H.: Tropospheric aerosol profile information from high-resolution oxygen A-band measurements from space, Atmos. Meas. Tech., 8, 859-874, doi:10.5194/amt-8-859-2015, 2015.
8 Guo, L., Lei, L., Zeng, Z., Zou, P., Liu, D., and Zhang, B.: Evaluation of Spatio-Temporal Variogram Models for Mapping XCO2 Using Satellite Observations: A Case Study in China, IEEE J. Sel. Top. Appl., 8, 376-385, doi:10.1109/JSTARS.2014.2363019, 2015.
9 Guo, M., Xu, J., Wang, X., He, H., Li, J., and Wu, L.:
Estimating CO2 concentration during the growing season from MODIS and GOSAT in East Asia
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Int. J. Remote Sens., 36, 4363-4383, doi:10.1080/01431161.2015.1081305, 2015.
10 He, Y., Risi, C., Gao, J., Masson-Delmotte, V., Yao, T., Lai, C., Ding, Y., Worden, J., Frankenberg, C., Chepfer, H., and Cesana, G.:
Impact of atmospheric convection on south Tibet summer precipitation isotopologue composition using a combination of in situ measurements, satellite data, and atmospheric general circulation modeling
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J. Geophys. Res.-Atmos., 9, 3852-3871, doi:10.1002/2014JD022180, 2015.
11 Heymann, J., Reuter, M., Hilker, M., Buchwitz, M., Schneising, O., Bovensmann, H., Burrows, J.P., Kuze, A., Suto, H., Deutscher, N.M., Dubey, M.K., Griffith, D.W.T., Hase, F., Kawakami, S., Kivi, R., Morino, I., Petri, C., Roehl, C., Schneider, M., Sherlock, V., Sussmann, R., Velazco, V.A., Warneke, T., and Wunch, D.:
Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm
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Atmos. Meas. Tech., 8, 2961-2980, doi:10.5194/amt-8-2961-2015, 2015.
12 Houweling, S., Baker, D., Basu, S., Boesch, H., Butz, A., Chevallier, F., Deng, F., Dlugokencky, E.J., Feng, L., Ganshin, A., Hasekamp, O., Jones, D., Maksyutov, S., Marshall, J., Oda, T., O’Dell, C.W., Oshchepkov, S., Palmer, P.I., Peylin, P., Poussi, Z., Reum, F., Takagi, H., Yoshida, Y., and Zhuravlev, R.:
An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements
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J. Geophys. Res.-Atmos., 10, 5253-5266, doi:10.1002/2014JD022962, 2015.
13 Kim, S., Lee, S., Lee, J., Kim, D., Han, J., Choi K., and Song, C.:
Analysis of Long-Range Transport of Carbon Dioxide and Its High Concentration Events over East Asian Region Using GOSAT Data and GEOS-Chem Modeling
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Adv. Meteorol., 2015, 13, doi:10.1155/2015/680264, 2015.
14 Kohler, P., Guanter, L., and Frankenberg, C.:
Simplified Physically Based Retrieval of Sun-Induced Chlorophyll Fluorescence From GOSAT Data
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Geosci.Remote Sensing Lett., 12, 1446-1450, doi:10.1109/LGRS.2015.2407051, 2015.
15 Köhler, P., Guanter, L., and Joiner, J.:
A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data
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Atmos. Meas. Tech., 8, 2589-2608, doi:10.5194/amt-8-2589-2015, 2015.
16 Kondo, M., Ichii, K., Takagi, H., and Sasakawa, M.:
Comparison of the data-driven top-down and bottom-up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling
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J. Geophys. Res.-Biogeo., 120, 1226-1245, doi:10.1002/2014JG002866, 2015.
17 Lee, J., Berry, J.A., van der Tol, C., Yang, X., Guanter, L., Damm, A., Baker, I., and Frankenberg, C.:
Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4

Glob. Change Biology, 21, 3469-3477, doi:10.1111/gcb.12948, 2015.
18 Lindqvist, H., O’Dell, C.W., Basu, S., Boesch, H., Chevallier, F., Deutscher, N., Feng, L., Fisher, B., Hase, F., Inoue, M., Kivi, R., Morino, I., Palmer, P.I., Parker, R., Schneider, M., Sussmann, R., Yoshida, Y.:
Does GOSAT capture the true seasonal cycle of carbon dioxide?

Atmos. Chem. Phys., 15, 13023-13040, doi:10.5194/acp-15-13023-2015, 2015
19 Liu, D., Lei, L., Guo, L., and Zeng, Z.:

A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption
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Atmosphere, 6, 1695, doi:10.3390/atmos6111695, 2015.
20 Liu, J., Bowman, K.W., and Daven K., H.:
Source-receptor relationships of column-average CO2 and implications for the impact of observations on flux inversions
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J. Geophys. Res.-Atmos., 120, 5214-5236, doi:10.1002/2014JD022914, 2015.
21 Locatelli, R., Bousquet, P., Saunois, M., Chevallier, F., and Cressot, C.:
Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations

Atmos. Chem. Phys., 15, 9765-9780, doi:10.5194/acp-15-9765-2015, 2015.
22 Nikitin, A. V., Lyulin, O. M., Mikhailenko, S. N., Perevalov, V. I., Filippov, N. N., Grigoriev, I. M., Morino, I., Yoshida, Y., and Matsunaga, T.: GOSAT-2014 methane spectral line list, J. Quant. Spectrosc. Ra., 154, 63 – 71, doi:10.1016/j.jqsrt.2014.12.003, 2015.
23 Ono, A., Hayashida, S., Sugita, T., Machida, T., Sasakawa, M., and Arshinov, M.:

Comparison of GOSAT SWIR and Aircraft Measurements of XCH4 over West Siberia
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SOLA, 11, 160-164, doi:10.2151/sola.2015-036, 2015.
24 Ott, L. E., Pawson, S., Collatz, G. J., Gregg, W. W., Menemenlis, D., Brix, H., Rousseaux, C. S., Bowman, K. W., Liu, J., Eldering, A., Gunson, M. R., and Kawa, S. R.: Assessing the magnitude of CO2 flux uncertainty in atmospheric CO2 records using products from NASA’s Carbon Monitoring Flux Pilot Project, J. Geophys. Res.-Atmos., 120, 734-765, doi:10.1002/2014JD022411, 2015.
25 Ou-Yang, C., Yen, M., Lin, T., Wang, J. Schnell, R.C., Lang, P.M., Chantara, S., and Lin, N.:
Impact of equatorial and continental airflow on primary greenhouse gases in the northern South China Sea
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Environ. Res. Lett., 10, 065005, doi:10.1088/1748-9326/10/6/065005, 2015.
26 Pandey, S., Houweling, S., Krol, M., Aben, I., and Röckmann, T.:
On the use of satellite-derived CH4 : CO2 columns in a joint inversion of CH4 and CO2 fluxes
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Atmos. Chem. Phys., 15, 8615-8629, doi:10.5194/acp-15-8615-2015, 2015.
27 Parker, R. J., Boesch, H., Byckling, K., Webb, A. J., Palmer, P. I., Feng, L., Bergamaschi, P., Chevallier, F., Notholt, J., Deutscher, N., Warneke, T., Hase, F., Sussmann, R., Kawakami, S., Kivi, R., Griffith, D. W. T., and Velazco, V.:

Assessing 5 years of GOSAT Proxy XCH4 data and associated uncertainties
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Atmospheric Measurement Techniques, 8, 4785-4801, doi:10.5194/amt-8-4785-2015, 2015.
28 Peng, Z., Zhang, M., Kou, X., Tian, X., and Ma, X.: A regional carbon data assimilation system and its preliminary evaluation in East Asia, Atmos. Chem. Phys., 15, 1087-1104, doi:10.5194/acp-15-1087-2015, 2015.
29 Qin, X., Lei, L., He, Z., Zeng, Z., Kawasaki, M., Ohashi, M., and Matsumi, Y.:
Preliminary Assessment of Methane Concentration Variation Observed by GOSAT in China

Adv. Meteorol., 2015, 11, doi:10.1155/2015/125059, 2015.
30 Sanghavi, S., Lebsock, M., and Stephens, G.:

Sensitivity analysis of polarimetric O-2 A-band spectra for potential cloud retrievals using OCO-2/GOSAT measurements
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Atmospheric Measurement Techniques, 8, 3601-3616, doi:10.5194/amt-8-3601-2015, 2015.
31 Tadić, J. M., Qiu, X., Yadav, V., and Michalak, A. M.:

Mapping of satellite Earth observations using moving window block kriging
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Geoscientific Model Development, 8, 3311-3319, doi:10.5194/gmd-8-3311-2015, 2015.
32 Tian, Y., Sun, Y., Xie, P., Liu, C., Liu, W., Liu, J., Li, A., Hu, R., Wang, W., and Zeng, Y.:
Observation of ambient CH4 variations using ground-based high resolution Fourier transform solar spectrometry
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Physics, 64, 70704-070704, doi:10.7498/aps.64.070704, 2015.
33 Turner, A.J., Jacob, D.J., Wecht, K.J., Maasakkers, J.D., Lundgren, E., Andrews, A.E., Biraud, S.C., Boesch, H., Bowman, K.W., Deutscher, N.M., Dubey, M.K., Griffith, D.W.T., Hase, F., Kuze, A., Notholt, J., Ohyama, H., Parker, R., Payne, V.H., Sussmann, R., Sweeney, C., Velazco, V.A., Warneke, T., Wennberg, P.O., and Wunch, D.:
Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data

Atmos. Chem. Phys., 15, 7049-7069, doi:10.5194/acp-15-7049-2015, 2015.
34 Watanabe, H., Hayashi, K., Saeki, T., Maksyutov, S., Nasuno, I., Shimono, Y., Hirose, Y., Takaichi, K., Kanekon, S., Ajiro, M., Matsumoto, Y., and Yokota, T.: Global mapping of greenhouse gases retrieved from GOSAT Level 2 products by using a kriging method, Int. J. Remote Sens., 36, 1509-1528, doi:10.1080/01431161.2015.1011792, 2015.
35 Worden, J.R., Turner, A.J., Bloom, A., Kulawik, S.S., Liu, J., Lee, M., Weidner, R., Bowman, K., Frankenberg, C., Parker, R., Payne, V.H.:
Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements
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Atmos. Meas. Tech., 8, 3433-3445, doi:10.5194/amt-8-3433-2015, 2015.
36 Yue T., Zhao, M., and Zhang, X.:
A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification

Journal of Clean. Prod., 103, 819-827, doi:10.1016/j.jclepro.2014.08.080, 2015
37 Zhang, H., Chen, B., Xu, G., Yan, J., Che, M., Chen, J., Fang, S., Lin, X., and Sun, S.: Comparing simulated atmospheric carbon dioxide concentration with GOSAT retrievals, Science Bulletin, 60, 380-386, doi:10.1007/s11434-014-0676-9, 2015.
38 Zhang, L., Jiang, H., and Zhang, X.: Comparison analysis of the global carbon dioxide concentration column derived from SCIAMACHY, AIRS, and GOSAT with surface station measurements, Int. J. Remote. Sens., 36, 1406-1423, doi:10.1080/01431161.2015.1009656, 2015.
39 Zhou, M., Zhang, X., Wang, P., Wang, S., Guo, L., and Hu, L.:
XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation
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Science China Press, 58, 1674-7313, doi:10.1007/s11430-015-5080-z, 2015.

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