Impact of Land Cover and Leaf Area Index on BVOC Emissions over the Korean Peninsula

19217 5 103692 2 316065 document 103692 b56dbad6950a2f7134d4ce9d3ab3f8b7ead1.pdf application/pdf 8851984f70078a4d972f09c53a2ef73f MD5 7014508 2023-12-03 09:38:09 https://pure.iiasa.ac.at/id/eprint/19217/1/b56dbad6950a2f7134d4ce9d3ab3f8b7ead1.pdf 19217 1 1 application/pdf text en public cc_by_4

b56dbad6950a2f7134d4ce9d3ab3f8b7ead1.pdf

published 103695 1 316084 document 103695 indexcodes.txt text/x-c++ 54aafd186bf63afec7515781ca1a2995 MD5 11866 2023-12-03 09:46:56 https://pure.iiasa.ac.at/id/eprint/19217/2/indexcodes.txt 19217 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/103692 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/103692 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/103692 archive 353 disk0/00/01/92/17 2023-12-03 09:40:18 2023-12-03 09:40:18 2023-12-03 09:40:18 article show Jang Y. Eo Y. Jang M. Woo J.-H. Kim Y. 8829 0000-0002-5053-5068 Lee J.-B. Lim J.-H. Impact of Land Cover and Leaf Area Index on BVOC Emissions over the Korean Peninsula pub prog_air biogenic volatile organic compounds (BVOC); plant functional types; leaf area index; Model of Emissions of Gases and Aerosols from Nature (MEGAN); South Korea; North Korea Biogenic volatile organic compound (BVOCs) emissions are the largest VOC emission source globally, and are precursors to ozone and secondary organic aerosols, both of which are strong, short-lived climate pollutants. BVOC emissions are usually estimated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN), which requires Plant Functional Types (PFTs) and Leaf Area Indexes (LAIs) as inputs. Herein, the effects of refined input data on regional BVOC emission estimates are analyzed. For LAIs, lower resolution MODerate-resolution Imaging Spectroradiometer (MODIS), and higher spatio-temporal resolution Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) LAI were generated. For PFTs, local land cover maps were developed, in addition to MODIS PFT. In South Korea, annual emissions of isoprene and monoterpenes in 2015 were estimated as 384 and 160 Gg/year, respectively, using STARFM LAI and Local PFT (Case 4). For North Korea, 340 Gg/year isoprene and 72 Gg/year monoterpenes emissions were estimated using STARFM LAI and MODIS PFT. These estimates were 14–110% higher than when using MODIS LAI and MODIS PFT (Case 1). Inter-comparison with satellite-based inverse isoprene emission estimates from GlobEmission shows 32% (North Korea) to 34% (South Korea) overestimation in bottom-up data. Our new vegetation inputs improve MEGAN performance and resulting BVOC emission estimations. Performance of Weather Research and Forecasting (WRF) meteorological modeling requires improvement, especially for solar radiation, to avoid overestimation of isoprene emissions. 2020-07 published MDPI Publishing doi:10.3390/atmos11080806 3163 public Atmosphere 11 8 e806 TRUE 2073-4433 info:eu-repo/semantics/article