GREENHOUSE - Generating Regional Emissions Estimates with a Novel Hierarchy of Observations and Upscaled Simulation Experiments

Lead Research Organisation: University of York
Department Name: Environment

Abstract

The UK is committed to quantifying and managing its emissions of greenhouse gases (GHG, i.e. CO2, CH4, N2O) to reduce the threat of dangerous climate change. Sinks and sources of GHGs vary in space and time across the UK because of the landscape's mosaic of managed and semi-natural ecosystems, and the varying temporal sensitivities of each GHG's emissions to meteorology and management. Understanding spatio-temporal patterns of biogenic GHG emissions will lead to improvements in flux estimates, allow creation of inventories with greater sensitivity to management and climate, and advance the modelling of feedbacks between climate, land use and GHG emissions. Addressing Deliverable C of the NERC Greenhouse Gas (GHG) Emissions and Feedbacks Research Programme, we will use extensive existing UK field data on GHG emissions, supplemented with targeted new measurements at a range of scales, to build accurate GHG inventories and improve the capabilities of two land surface models (LSMs) to estimate GHG emissions.
Our measurements will underpin state-of-the-art temporal and spatial upscaling frameworks. The temporal framework will evaluate diurnal, seasonal and inter-annual variation in emissions of CO2, CH4 and N2O over dominant UK land-covers, resolving management interventions such as ploughing, fertilizing and harvesting, and the effects of weather and climate variability. The spatial framework will evaluate landscape heterogeneity at patch (m), field (ha) and landscape (km2) scales, in two campaigns combining chambers, tower and airborne flux measurements in arable croplands of eastern England, and grazing and forest landscapes of northern Britain.
For modelling, we will update two LSMs - JULES and CTESSEL- so that each generates estimates of CO2, CH4 and N2O fluxes from managed landscapes. The models will be updated to include the capabilities to represent changes in land use over time, to represent changes in land management over time (crop sowing, fertilizing, harvesting, ploughing etc), and the capacity to simulate forest rotations. With these changes in place, we will determine parameterisations for dominant UK land-covers and management interventions, using our spatio-temporal data.
The work is organized in five science work-packages (WP).
WP1: Data assembly and preliminary analysis. We will create a database of GHG flux data and ancillary data for major UK landcovers/landuses in order to calibrate and evaluate the LSMs' capabilities, and generate spatial databases of environmental and management drivers for the models.
WP2. GHG measurement at multiple scales. We will deploy advanced technology to generate new information on spatial GHG processes from simultaneous measurement from chamber (<1 m) to landscape (40 km) length scales, and on temporal flux variation from minutes to years.
WP3. Earth observation (EO) to support upscaling. EO data will provide: i) driving data for LSM upscaling, from flux tower to aircraft campaign scales; and ii) spatial data for testing LSM outputs at these larger scales.
WP4 Upscaling GHG processes. Firstly, the two LSMs will be updated to allow the impacts of management activities on GHG emissions to be simulated, with calibration against an array of temporal flux data. Then, we will use the LSMs to model the fluxes of GHGs at larger spatial scales, based on a rigorous understanding of how the nonlinearity of responses and the non-Gaussian distribution of environmental input variables interact, for each GHG, using all available field data at finer scales.
WP5 Application at the regional scale. The LSMs will upscale GHG emissions for both campaign regions (E. England, N. Britain) using 1-km2 resolution simulations with a focus on the airborne campaign periods of 4 weeks. We will determine how regional upscaling error can be reduced with intensive spatial soil and land management data.

Planned Impact

To exchange knowledge with policy makers and land managers, we will host a workshop to explain the novel science outputs relating GHG emissions to managed landscapes, with attendees from a range of government departments, governmental organisations, NGOs and agricultural and forest industry bodies. We will also provide evidence at the relevant Westminster and Holyrood Parliamentary committees and for the Scottish ClimateXChange. We will disseminate our research findings to land managers at UK and European land management conferences. An improved understanding of the linkage between landscape management and GHG emissions will be used to develop improved advice on mitigation to UK farmers and land managers.
To put our science in a global context, we will host a science workshop on measuring and modelling GHG emissions in managed landscapes, inviting our international partners. To generate links to climate modelling groups, we will work closely with UKMO and ECMWF to upgrade JULES and CTESSEL for their applications.
Our work will be of interest to those members of the public concerned about climate security and land management. We will engage with local communities around our research sites, to explain our activities and to learn more about local perspectives. We will create press releases, a website and use social media to communicate with the wider public.
We will contribute to the development of a more scientifically literate population through relating our research and core concepts in environmental science to school teachers and pupils. Teaching material will be developed based on our data, emphasising our cutting edge technology (e.g. our aircraft), at the relevant level and to fit with the relevant strands and learning outcomes of the Curriculum for Excellence. Material developed here can also be shown at the Edinburgh International Science Fair.
To summarise, we will use the press, a project website and social media for broad dissemination of data. We will make presentations to local UK communities during field campaigns. We will host two workshops with involvement of academic and non-academic project partners. We will create new materials and activities with schools, and present at a Science Fair. We will provide evidence to parliamentary committees, report to DEFRA, DECC and NGOs.
 
Description Automated greenhouse gas flux equipment (SkyLine) has been developed under this grant, providing high-frequency greenhouse gas flux measurements at any location along a linear transect This represents a step change from traditional chamber-based greenhouse gas technologies which generally operate at weekly/monthly measurement intervals and only in daytime, whereas commercially available greenhouse gas flux equipment are less flexible (e.g. in location and chamber size) and much more expensive.
An important dataset of fluxes of three major greenhouse gases (nitrous oxide, carbon dioxide and methane) at high temporal resolution has been gathered in an agricultural field when fertiliser was applied. The high-frequency measurements revealed a diurnal pattern in N2O emissions.
Two additional greenhouse flux datasets (nitrous oxide, carbon dioxide and methane) at high temporal resolution has been collected in a managed grassland (during fertiliser application and a hay cut cycle) and an upland forest following clear fell. Drainage ditches in forests are rarely included in greenhouse gas budgets, but our forest study revealed high CH4 emissions from this landscape feature.
Exploitation Route The datasets once fully analysed will be made available to other research groups by Jasmin. During the periods of our measurements, greenhouse gas fluxes were also measured by two other methods. Comparison of the three greenhouse gas flux methods at the three sites will help improve greenhouse gas models and their upscaling of greenhouse gas budgets from chamber and field estimates to the lanscape scale.
Sectors Agriculture, Food and Drink,Environment,Manufacturing, including Industrial Biotechology

 
Description The commercial application of the newly developed automated GHG flux equipment under this grant - SkyLine2D - (and that of the Macronutrients grant of Prof. Phil Ineson) is further developed under the recently awarded NERC Follow-on Fund (PI Prof. Phil Ineson, Co-I Dr Sylvia Toet). We attended the EGU meeting in 2016 and 2018 to demonstrate our automated GHG flux equipment and to assess potential commercialisation of the equipment (with help of University commercialisation fund support). We received very positive feedback and interest from researchers at this EGU meeting, and with the NERC Follow-on fund (2017-2019) and an Enterprise fellow (UoY, 2019-2020) we have further develop applications of the SkyLine2D system and are in the proces of setting up a spin out company for commercialisation of these SkyLine2D systems.
Sector Agriculture, Food and Drink,Environment
Impact Types Economic

 
Description International Summerschool on GlobalGreenhouse gases
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact This summerschool was run for PhDs and postdoctoral researchers from all over Europe to develop a solid understanding of the role of key greenhouse gases in the earth system and the processes that govern their dynamics in the atmopshere, ocean and biosphere; aiming to provide both theoretical background and practical training, interaction with leading experts and networking with other early-career researchers.
 
Description International Summerschool on greenhouse gas emissions
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact This summerschool was run for PhDs and postdoctoral researchers from all over Europe to develop a solid understanding of the role of key greenhouse gases in the earth system and the processes that govern their dynamics in the atmopshere, ocean and biosphere; aiming to provide both theoretical background and practical training, interaction with leading experts and networking with other early-career researchers.
 
Description Meeting at the Royal Society, London, in 2017: Understanding the European Greenhouse Gas Budget - Towards supporting COP21 Royal Society. Invited speaker of presentation '- Novel technology for automated high-frequency greenhouse gas flux measurements, Understanding the European Greenhouse Gas Budget - Towards supporting COP21', demonstration of SkyLine model, contribution to meeting
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Directed, International Opportunities Fund Pump Priming Plus
Amount £245,445 (GBP)
Funding ID NE/P008690/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 01/2017 
End 06/2018
 
Description Diurnal Variation in Soil Nitrous oxide Emissions (DIVINE): drivers and mechanisms
Amount £639,815 (GBP)
Funding ID NE/V000624/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 06/2021 
End 05/2024
 
Description Innovation, NERC Follow-on Fund, Co-I
Amount £95,456 (GBP)
Funding ID NE/P016774/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 03/2017 
End 02/2018
 
Description N8 AgriFood Local Pump Priming
Amount £19,850 (GBP)
Organisation University of York 
Sector Academic/University
Country United Kingdom
Start 08/2017 
End 12/2019
 
Description NERC Pump Priming
Amount £306,806 (GBP)
Funding ID NE/P008690/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 01/2017 
End 07/2018
 
Description New ways to enable reliable validation of greenhouse gas models and assessments
Amount 10,000,000 kr (SEK)
Funding ID 2018-01794 
Organisation Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS) 
Sector Private
Country Sweden
Start 01/2018 
End 11/2022
 
Title High-frequency greenhouse gas (GHG) flux measurements in mature, upland Sitka spruce forest from autumn 2016 - spring 2017 
Description Continuous CO2 (net ecosystem exchange) and CH4 flux measurements during periods from autumn 2016. Ancillary data: soil temperature, soil moisture content. Measurements are still on-going. Data will be analysed analysed and prepared for publications, and provided to other research groups through Jasmin. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? No  
Impact These data provide high-frequency (24-hour) GHG flux measurements in an upland mature forest site will form a contrast to the data collected from the clearfell site in 2015. The effects of microtopographical features on the GHG fluxes are determined over time, and compared with those determined by manual chambers, allowing for comparison of the two GHG flux methods to improve GHG flux models and their upscaling of GHG fluxes to the landscape scale. 
 
Title High-frequency greenhouse gas (GHG) flux measurements in oil seed rape field (Lincolnshire) in spring 2014 
Description Continuous N2O, CH4 and CO2 (net ecosystem exchange) flux measurements from mid March - mid April 2014 at 8 locations during fertiliser applications. Ancillary data: soil temperature, soil moisture content, pH and ammonium and nitrate concentrations, plant variables. The data are currently being analysed and prepared for publications. The data will be provided to other research groups through Jasmin. 
Type Of Material Database/Collection of data 
Provided To Others? No  
Impact These data provide high-frequency (24-hour) GHG flux measurements in an oil seed rape field in response to fertiliser applications in spring 2014. Over the same time period, GHG flux estimates were determined by manual chambers and eddy-covariance, allowing for comparison of the three GHG flux methods to improve GHG flux models and their upscaling of GHG fluxes to the landscape scale. 
 
Title High-frequency greenhouse gas (GHG) flux measurements managed grassland (Crichton) and clearfell site in upland forest in spring/summer 2015 
Description Continuous N2O, CH4 and CO2 (net ecosystem exchange) flux measurements from late May - August 2015 managed grassland (Crichton) and clearfell site in upland forest in spring/summer 2015. Ancillary data: soil temperature, soil moisture content, pH and ammonium and nitrate concentrations, plant variables (Crichton only). The data are currently analysed and prepared for publications. They will be provided to other research groups through Jasmin. 
Type Of Material Database/Collection of data 
Provided To Others? No  
Impact These data provide high-frequency (24-hour) GHG flux measurements in a managed grassland (including a hay cut) in response to fertiliser applications in spring 2015, and in a upland forest site that has recently been clearfelled (different microtopographical features were included) in summer 2016. Over the same time period, GHG flux estimates were determined by manual chambers and eddy-covariance, allowing for comparison of the three GHG flux methods to improve GHG flux models and their upscaling of GHG fluxes to the landscape scale. 
 
Title SkyLine - automated greenhouse gas flux field equipment 
Description SkyLine2D is a newly developed automated greenhouse gas (GHG) flux setup allowing for high-frequency GHG flux measurements at any location along a linear transect at the field scale, which has been tested and applied in field research for the first time under this grant. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2014 
Impact This automated system represents a step change from traditional chamber-based GHG technologies which generally operate at weekly/monthly measurement intervals and only in daytime, whereas comercially available automated GHG flux systems have much less flexibility in e.g. chamber size and position and they are much more expensive. Commercialisation and further applications of this product will be further developed in a project which commenced 1st May 2017 and if NERC funded (Follow-on Fund: NE/P016774/1, Commercialisation of the greenhouse gas monitoring system SkyLine2D). A 3-dimensional SkyLine3D system is also further developed (demonstration system developed under NERC Macronutrients) to cover a much larger arena across a lake/wetlands system (project awarded by NERC IOF Pump Priming Plus 2017-2019). This system is now fully fuctional. 
 
Description Showcasing Skyline2D at Emerging Sensor Technologies event- Glasgow, 3rd May 2017 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact We showcased Skyline at an Emerging Sensor Technologies event in Glagow, interacting with 'spin-out' advisers and potential funders for company development.
Year(s) Of Engagement Activity 2018
URL https://censis.org.uk/2018/04/19/showcasing-emerging-technologies-2018-sensors/