GHG Emissions Monitoring | ||||||||
Global yearly average of TROPOMI/WFMD XCH4 for 2018 (Source: Schneising, O., Buchwitz, M., Reuter, M., Bovensmann, H., Burrows, J.P., Borsdorff, T., Deutscher, N.M., Feist, D.G., Griffith, D.W., Hase, F. and Hermans, C., 2019. A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor. Atmospheric Measurement Techniques, 12(12), pp.6771-6802.). | ||||||||
Product Category | ||||||||
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Financial Domains | ||||||||
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User requirements | ||||||||
UN15: Need to monitor carbon intensity of portfolio assets. UN26: Need to monitor GHG emissions of projects funded. | ||||||||
Description | ||||||||
Accurate and continuous monitoring of Green House Gases (GHG) such as Co2, No2, and CH4 is crucial for making informed decisions about green finance investments. It enables financial institutions to assess the environmental impact of projects, identify emission reduction opportunities, and prioritize funding for sustainable initiatives. Following the approval of loans and/or investments for projects supporting environmentally friendly activities, it is crucial to monitor these projects to ensure that the funds are effectively utilized to achieve their environmental objectives. EO data offers valuable oversight for specific types of projects. There are several validated and mature EO products (most of them use SWIR and TIR bands) that provide comprehensive monitoring of GHG emissions with global coverage and appropriate spatial and temporal resolutions. In this document, we will focus on products used to monitor three important GHGs which are Co2, No2, and CH4. | ||||||||
Spatial Coverage Target | ||||||||
Asset and Project level | ||||||||
Data Throughput | ||||||||
Rapid tasking Data availability |
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PRODUCT SPECIFICATIONS | ||||||||
Main processing steps | Data for GHG emissions can be easily accessed through many satellite-based products. These data can be used directly or with simple preprocessing. | |||||||
Input data sources | Satellite-based products (Optical): GHG. Sentinel-5P (TROPOMI): Co2, No2, and CH4 Metop-A/B/C (IASI): Co2, No2, and CH4 GEOSAT-2: Co2 and CH4 OCO-2: Co2 OCO-3: Co2 | |||||||
Accessibility | Sentinel-5P (TROPOMI): freely and publicly available from European Commission, ESA, Netherlands Space Office (NSO). Metop-A/B/C (IASI): freely and publicly available from EUMETSAT GEOSAT-2: freely and publicly available from JAXA, MOE Japan, National Institute for Environmental Studies of Japan (NIES). OCO-2: freely and publicly available from NASA. OCO-3: freely and publicly available from NASA. | |||||||
Spatial resolution | Sentinel-5P (TROPOMI): 7 km x 3.5 km Metop-A/B/C (IASI): 100 km GEOSAT-2: 460 m OCO-2: 2.25 km x 1.29 km OCO-3: 2.25 km x 0.7 km | |||||||
Frequency (Temporal resolution) | Sentinel-5P (TROPOMI): Daily Metop-A/B/C (IASI): Daily GEOSAT-2: 2 days OCO-2: 16 days OCO-3: 1-3 days | |||||||
Latency | N.A | |||||||
Geographical scale coverage | Globally | |||||||
Delivery/ output format | Data type: Raster File format: GeoTIFF, NetCDF, HDF | |||||||
Accuracies | Thematic accuracy: 80-90% Spatial accuracy: 1.5-2 pixels of input data | |||||||
Constraints and limitations |
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User's level of knowledge and skills to extract information and perform further analysis on the EO products. | Skills: Essential Knowledge: Essential |
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