T
Takashi Maki
Researcher at Japan Meteorological Agency
Publications - 58
Citations - 4297
Takashi Maki is an academic researcher from Japan Meteorological Agency. The author has contributed to research in topics: Aerosol & Data assimilation. The author has an hindex of 20, co-authored 51 publications receiving 3841 citations.
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Journal ArticleDOI
Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models.
Kevin R. Gurney,Rachel M. Law,A. S. Denning,Peter Rayner,David Baker,Philippe Bousquet,Lori Bruhwiler,Yu-Hsin Chen,Philippe Ciais,Song-Miao Fan,Inez Fung,Manuel Gloor,Martin Heimann,Kaz Higuchi,Jasmin John,Takashi Maki,Shamil Maksyutov,Kenneth A. Masarie,Philippe Peylin,Michael J. Prather,Bernard Pak,James T. Randerson,Jorge L. Sarmiento,S. Taguchi,Taro Takahashi,C.-W. Yuen +25 more
TL;DR: An uptake of CO2 in the southern extratropical ocean less than that estimated from ocean measurements is found, a result that is not sensitive to transport models or methodological approaches, and carbon fluxes integrated over latitudinal zones are strongly constrained by observations in the middle to high latitudes.
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TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003
D. F. Baker,D. F. Baker,Rachel M. Law,Kevin R. Gurney,Kevin R. Gurney,Peter Rayner,P. Peylin,A. S. Denning,Philippe Bousquet,Lori Bruhwiler,Yu-Hsin Chen,Philippe Ciais,Inez Fung,Martin Heimann,Jasmin John,Takashi Maki,Shamil Maksyutov,Kenneth A. Masarie,Michael J. Prather,Bernard Pak,Bernard Pak,S. Taguchi,Z. Zhu +22 more
TL;DR: In this article, the same inversion (method, priors, data) is performed with 13 different atmospheric transport models, and the spread in the results is taken as a measure of transport model error.
Journal ArticleDOI
Global atmospheric carbon budget: results from an ensemble of atmospheric CO2 inversions.
P. Peylin,Rachel M. Law,Kevin R. Gurney,Frédéric Chevallier,Andrew R. Jacobson,Takashi Maki,Yosuke Niwa,Prabir K. Patra,Wouter Peters,Peter Rayner,Christian Rödenbeck,I. T. van der Laan-Luijkx,X. Zhang +12 more
TL;DR: In this article, the inversions were run for at least 5 yr in the period between 1990 and 2010, and mean fluxes for 2001-2004, seasonal cycles, interannual variability and trends are compared for the tropics and northern and southern extra-tropics, and separately for land and ocean.
Journal ArticleDOI
Transcom 3 inversion intercomparison: Model mean results for the estimation of seasonal carbon sources and sinks
Kevin R. Gurney,Rachel M. Law,A. Scott Denning,Peter Rayner,Bernard Pak,David Baker,Philippe Bousquet,L. Bruhwiler,Yu Han Chen,Philippe Ciais,Inez Fung,Martin Heimann,Jasmin John,Takashi Maki,Shamil Maksyutov,Philippe Peylin,Michael J. Prather,S. Taguchi +17 more
Abstract: [1] The TransCom 3 experiment was begun to explore the estimation of carbon sources and sinks via the inversion of simulated tracer transport. We build upon previous TransCom work by presenting the seasonal inverse results which provide estimates of carbon flux for 11 land and 11 ocean regions using 12 atmospheric transport models. The monthly fluxes represent the mean seasonal cycle for the 1992 to 1996 time period. The spread among the model results is larger than the average of their estimated flux uncertainty in the northern extratropics and vice versa in the tropical regions. In the northern land regions, the model spread is largest during the growing season. Compared to a seasonally balanced biosphere prior flux generated by the CASA model, we find significant changes to the carbon exchange in the European region with greater growing season net uptake which persists into the fall months. Both Boreal North America and Boreal Asia show lessened net uptake at the onset of the growing season with Boreal Asia also exhibiting greater peak growing season net uptake. Temperate Asia shows a dramatic springward shift in the peak timing of growing season net uptake relative to the neutral CASA flux while Temperate North America exhibits a broad flattening of the seasonal cycle. In most of the ocean regions, the inverse fluxes exhibit much greater seasonality than that implied by the DpCO2 derived fluxes though this may be due, in part, to misallocation of adjacent land flux. In the Southern Ocean, the austral spring and fall exhibits much less carbon uptake than implied by DpCO2 derived fluxes. Sensitivity testing indicates that the inverse estimates are not overly influenced by the prior flux choices. Considerable agreement exists between the model mean, annual mean results of this study and that of the previously published TransCom annual mean inversion. The differences that do exist are in poorly constrained regions and tend to exhibit compensatory fluxes in order to match the global mass constraint. The differences between the estimated fluxes and the prior model over the northern land regions could be due to the prior model respiration response to temperature. Significant phase differences, such as that in the Temperate Asia region, may be due to the limited observations for that region. Finally, differences in the boreal land regions between the prior model and the estimated fluxes may be a reflection of the timing of spring thaw and an imbalance in respiration versus photosynthesis. INDEX TERMS: 0322 Atmospheric Composition and Structure: Constituent sources and sinks; 1615 Global Change: Biogeochemical processes (4805); 0315 Atmospheric Composition and Structure: Biosphere/atmosphere interactions; KEYWORDS: carbon transport, inversion
Journal ArticleDOI
TransCom 3 CO2 inversion intercomparison: 1. Annual mean control results and sensitivity to transport and prior flux information
Kevin R. Gurney,Rachel M. Law,A. Scott Denning,Peter Rayner,David Baker,Philippe Bousquet,Lori Bruhwiler,Yu Han Chen,Philippe Ciais,Song-Miao Fan,Inez Fung,Manuel Gloor,Martin Heimann,Kaz Higuchi,Jasmin John,Eva Kowalczyk,Takashi Maki,Shamil Maksyutov,Philippe Peylin,Michael J. Prather,Bernard Pak,Jorge L. Sarmiento,S. Taguchi,Taro Takahashi,Chiu Wai Yuen +24 more
TL;DR: In this paper, the authors conducted a set of annual mean inversion experiments in which 17 different transport models or model variants were used to calculate regional carbon sources and sinks from the same data with a standardized method.