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Constraining sources and sinks of ca...

Lin, John Chun-Han.

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Constraining sources and sinks of carbon at the regional scale with aircraft observations.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Constraining sources and sinks of carbon at the regional scale with aircraft observations./
作者:	Lin, John Chun-Han.
面頁冊數:	249 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2232.
Contained By:	Dissertation Abstracts International64-05B.
標題:	Physics, Atmospheric Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3091621
ISBN:	0496393305

Constraining sources and sinks of carbon at the regional scale with aircraft observations.
Lin, John Chun-Han.

Constraining sources and sinks of carbon at the regional scale with aircraft observations. - 249 p.

Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2232.

Thesis (Ph.D.)--Harvard University, 2003.

Anthropogenic perturbations to the carbon cycle have led to increasing atmospheric concentrations of the radiatively active species CO2. Quantitative knowledge of terrestrial carbon sources and sinks at the regional scale (102&sim;103 km)---the scale of political borders and ecosystems---remains highly uncertain. CO2 measurements have generally been collected in the remote marine boundary-layer, where signals of terrestrial fluxes have already been attenuated. CO2 concentrations over the continent contain strong terrestrial signals but exhibit large spatio-temporal variability that challenges current-generation analysis frameworks.

ISBN: 0496393305Subjects--Topical Terms:

1019431
Physics, Atmospheric Science.

Constraining sources and sinks of carbon at the regional scale with aircraft observations.
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245 1 0 $a Constraining sources and sinks of carbon at the regional scale with aircraft observations.
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500 $a Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2232.
500 $a Adviser: Steven C. Wofsy.
502 $a Thesis (Ph.D.)--Harvard University, 2003.
520 $a Anthropogenic perturbations to the carbon cycle have led to increasing atmospheric concentrations of the radiatively active species CO2. Quantitative knowledge of terrestrial carbon sources and sinks at the regional scale (102&sim;103 km)---the scale of political borders and ecosystems---remains highly uncertain. CO2 measurements have generally been collected in the remote marine boundary-layer, where signals of terrestrial fluxes have already been attenuated. CO2 concentrations over the continent contain strong terrestrial signals but exhibit large spatio-temporal variability that challenges current-generation analysis frameworks.
520 $a This dissertation seeks to address the current uncertainties in regional scale carbon sources and sinks. A quantitative characterization of the spatial variability of CO2 was carried out based on an extensive dataset compiled from aircraft observations over the Pacific and North America. The variability was used to determine the deviation between point observations and gridcell-averaged value used by models ("representation error"). The higher variability of continental CO2 led to significantly larger representation errors than over the ocean. The Stochastic Time-Inverted Lagrangian Transport (STILT) model was developed to resolve the variability in tracers like CO2 and minimize the representation error. STILT simulates atmospheric transport backward in time using particle ensembles starting from the locations of point observations that link the observations to upstream sources/sinks. Empirical assessments of time-reversibility revealed that mass violation in the wind fields led to time-irreversibility; backward-time results were identical to those from forward-time simulations when mass conserving winds were used.
520 $a The constraint on regional sources/sinks provided by continental CO 2 observations was explored in the CO2 Budget and Rectification Airborne (COBRA) pilot study. A receptor-oriented analysis framework which merges the regional scale atmospheric constraint with detailed information from ground-based measurements is presented. The STILT model was further applied as a flight planning tool during COBRA to predict locations of upstream air parcels and implement Lagrangian experiments, which minimized uncertainties in upstream tracer values and imposed direct constraints on regional scale fluxes.
520 $a The remaining limitations to the presented work and the necessary steps forward are discussed within the context of a general information transfer problem.
590 $a School code: 0084.
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