Download presentation
Presentation is loading. Please wait.
Published byLeila Rees Modified over 9 years ago
1
High resolution fossil\industrial CO 2 : Historical Context Kevin Gurney Purdue University Department of Earth and Atmospheric Science Purdue Climate Change Research Center A52B: Frost & Petron presiding ……..In place of talk by Blasing and colleagues
2
Posters and talks 9 excellent posters yesterday (A41C-0042 to 0049) 6 talks this morning Global Regional: Asia, Europe Urban: Salt Lake Methodological: Radon/ 14 C, air quality, energy sales/consumption This session and the work in recent years heralds a renewed interest in the topic and a broadening of motivations and methods
3
History: evolution of estimates Motivation: Explain observed CO 2 rise Support climate change projections Work in the 1980s: Keeling: (1978) Rotty: global national inventory Marland: Global 0-D UN production for years 1950-1982 UN “consumption” @ 5 º x 5 º for average year
4
Evolution of estimates continued 5º x 5º with population and industrial concentration Marland and Rotty, 1984 using consumption
5
Adding more space & time Rotty: seasonal global and regional (captured ~87% of globe) Found ptp of 24% of the annual mean. Andres et al., 1996: moved to 1 º x 1 º with decadel res time series EDGAR in the late 1990s - more sectoral/fuel detail
6
Other disciplines Atm chemistry campaigns: Trace-P Modeling efforts NOx, CO, VOCs IPCC: integrated assessment - combining socioeconomics and energy systems analysis (we’ll come back to this)
7
We thought we were done! By the 00’s, the carbon cycle community considered the fossil CO 2 problem “solved” at least to the extent that was needed. Focus on “missing sink”, terrestrial net uptake
8
What have we been using? 1 degree resolution Sales, consumption at national level with pop for proxy spatial
9
Why is this no longer adequate? 1.Inversion moving to smaller scales driven, in part, by planned satellite CO 2 measurements (OCO) 2.There is likely bias lurking (pop not best proxy) California electricity Interstates Diurnal, seasonal cycles 3.“local” climate policy has emerged in many places: significant need for spatiotemporal information 4.inadequate for dynamic, process understanding 1. Inversions moving to smaller scales driven, in part, by planned satellite CO 2 measurements (OCO) NACP Science Implementation Strategy (Denning, editor), 2005 Fossil emissions are the dominant net source of CO 2 in North America…. State- or county-level inventories of fossil fuel emissions must be downscaled using emission models driven by statistics of power and industrial plant usage, locations, pop , weather, vehicular traffic, and other data….. The goal is to provide daily or subdiurnal gridded emissions estimates commensurate with the <10 km flux analyses
10
Why is this no longer adequate? 1.Inversions moving to smaller scales driven, in part, by planned satellite CO 2 measurements (OCO) 2.There is likely bias lurking (pop not best proxy) California electricity Interstates Diurnal, seasonal cycles 3.“local” climate policy has emerged in many places: significant need for spatiotemporal information 4.inadequate for dynamic, process understanding 2. There is likely bias lurking (pop not best proxy) California electricity Interstates Diurnal, seasonal cycles
11
Why is this no longer adequate? 1.Inversion moving to smaller scales driven, in part, by planned satellite CO 2 measurements (OCO) 2.There is likely bias lurking (pop not best proxy) California electricity Interstates Diurnal, seasonal cycles 3.“local” climate policy has emerged in many places: significant need for spatiotemporal information 4.inadequate for dynamic, process understanding 3. “local” climate policy has emerged in many places: significant need for spatiotemporal information
12
New approaches? Our Options: Downscale further? Better proxies? Scale with other pollutants? Energy modeling? what sources burn when, where and why????? trains, planes & automobiles Powerplants, factories Home heat, gas stations
13
The latest wave There is now a growing community of researchers tackling various aspects of high resolution CO 2 emissions Petron, Frost and colleagues: CEM and mobile emissions Gurney, Fischer and colleagues: 10s km and hourly Andres, Gregg: state level and monthly Hirsch: 14 C/Radon Pataki: urban Blasing, Broniak & Marland: state level/monthly Ackerman & Sundquist: point comparisons
14
1 st HRFF meeting Meeting at Purdue: Spring ‘07 Prioritize Strategize Plan proposals, collaborative work This work can contribute to more than C science
15
Hestia Build a global high resolution fossil/industrial CO 2 model-data fusion system that is fully process-driven: Google Earth Emissions
16
Thank you
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.