Citation

BibTex format

@article{Fischer:2017:10.1002/2016JD025617,
author = {Fischer, ML and Parazoo, N and Brophy, K and Cui, X and Jeong, S and Liu, J and Keeling, R and Taylor, TE and Gurney, K and Oda, T and Graven, H},
doi = {10.1002/2016JD025617},
journal = {Journal of Geophysical Research: Atmospheres},
pages = {3653--3671},
title = {Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations},
url = {http://dx.doi.org/10.1002/2016JD025617},
volume = {122},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We report simulation experiments estimating the uncertainties in California regional fossil fuel and biosphere CO2 exchanges that might be obtained by using an atmospheric inverse modeling system driven by the combination of groundbased observations of radiocarbon and total CO2, together with columnmean CO2 observations from NASA's Orbiting Carbon Observatory (OCO2). The work includes an initial examination of statistical uncertainties in prior models for CO2 exchange, in radiocarbonbased fossil fuel CO2 measurements, in OCO2 measurements, and in a regional atmospheric transport modeling system. Using these nominal assumptions for measurement and model uncertainties, we find that flask measurements of radiocarbon and total CO2 at 10 towers can be used to distinguish between different fossil fuel emission data products for major urban regions of California. We then show that the combination of flask and OCO2 observations yields posterior uncertainties in monthlymean fossil fuel emissions of ~5–10%, levels likely useful for policy relevant evaluation of bottomup fossil fuel emission estimates. Similarly, we find that inversions yield uncertainties in monthly biosphere CO2 exchange of ~6%–12%, depending on season, providing useful information on net carbon uptake in California's forests and agricultural lands. Finally, initial sensitivity analysis suggests that obtaining the above results requires control of systematic biases below approximately 0.5 ppm, placing requirements on accuracy of the atmospheric measurements, background subtraction, and atmospheric transport modeling.
AU - Fischer,ML
AU - Parazoo,N
AU - Brophy,K
AU - Cui,X
AU - Jeong,S
AU - Liu,J
AU - Keeling,R
AU - Taylor,TE
AU - Gurney,K
AU - Oda,T
AU - Graven,H
DO - 10.1002/2016JD025617
EP - 3671
PY - 2017///
SN - 2169-897X
SP - 3653
TI - Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations
T2 - Journal of Geophysical Research: Atmospheres
UR - http://dx.doi.org/10.1002/2016JD025617
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000399655200027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/76374
VL - 122
ER -