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The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program 被引量:4
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作者 Hanna K.Lappalainen Markku Kulmala +13 位作者 Joni Kujansuu Tuukka Petaja Alexander Mahura Gerrit de Leeuw Sergej Zilitinkevich Merli Juustila Veli-Matti Kerminen Bob Bornstein Zhang Jiahua Xue Yong Qiu Yubao Liang Dong Liu Jie Guo Huadong 《Big Earth Data》 EI 2018年第1期8-35,共28页
The Silk Road Economic Belt and the 21st-Century Maritime Silk Road(B&R)aims at facilitating the twenty-first Century economic development of China.However,climate change,air quality and related feedbacks are affe... The Silk Road Economic Belt and the 21st-Century Maritime Silk Road(B&R)aims at facilitating the twenty-first Century economic development of China.However,climate change,air quality and related feedbacks are affecting the successful development of the environment and societies in the B&R geographical domain.The most urgent risks related to the atmospheric system,to the land system and to hydrospheric and cryospheric processes are changing climate-air quality interactions,air pollution,changing monsoon dynamics,land degradation,and the melting of Tibetan Plateau glaciers.A framework is needed in which a science and technology-based approach has the critical mass and expertise to identify the main steps toward solutions and is capable to implement this roadmap.The Pan-Eurasian Experiment(PEEX)program,initiated in 2012,aims to resolve science,technology and sustainability questions in the Northern Eurasian region.PEEX is now identifying its science agenda for the B&R region.One fundamental element of the PEEX research agenda is the availability of comprehensive ground-based observations together with Earth observation data.PEEX complements the recently launched international scientific program called Digital Belt and Road(DBAR).PEEX has expertise to coordinate the ground-based observations and initiate new flagship stations,while DBAR provides a big data platform on Earth observation from China and countries along the Belt and Road region.The DBAR and PEEX have joint interests and synergy expertise on monitoring on ecological environment,urbanization,cultural heritages,coastal zones,and arctic cold regions supporting the sustainable development of the Belt and Road region.In this paper we identify the research themes of the PEEX related Silk Road agenda relevant to China and give an overview of the methodological requirements and present the infrastructure requirements needed to carry out large scale research program. 展开更多
关键词 Silk road Economic Belt air quality land-climate feedbacks Earth observation data in situ observations multiscale modeling SMEa concept Pan-Eurasian Experiment(peex)program Digital Belt and road(DBa)program
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Two decades of fire activity over the PEEX domain:a look from space,with contribution from models and ground-based measurements
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作者 Larisa Sogacheva Timo H.Virtanen +4 位作者 Anu-Maija Sundström Pekka Kolmonen Mikhail Sofiev Hanna K.Lappalainen Antti Arola 《Big Earth Data》 EI CSCD 2024年第2期350-396,共47页
It has been suggested that forest fires will become more frequent/intense with changing climate,which would increase aerosol/gas emissions into the atmosphere.A better under-standing of the relations between meteorolo... It has been suggested that forest fires will become more frequent/intense with changing climate,which would increase aerosol/gas emissions into the atmosphere.A better under-standing of the relations between meteorological conditions,fires,and fire emissions will help estimate the climate response via forest fires.In this study,we use ERA5 meteor-ological products,including temperature,precipitation,and soil moisture,to explain the frequency of forest fires and the amount of radiant energy released per time unit by burning vegetation(fire radiative power,FRP).We explore the relation-ships between satellite-retrieved fire products and aerosol properties(aerosol optical depth,AOD),carbon monoxide(CO),formaldehyde(HCHO),and nitrogen dioxide(NO_(2))con-centrations over the PEEX domain,which covers different vegetation zones(e.g.croplands/grasslands,forest,arctic tun-dra)of Pan-Eurasia and China.We analyse the concentrations of black carbon and absorbing organic carbon using groundbased AErosol RObotic NETwork.The analysis covers the months of May to August from 2002 to 2022.We show posi-tive temperature trends in the Northern zone(>65°N)in June and August(1.56°C and 0.64°C,respectively);all statistically significant trends for precipitation and soil moisture are nega-tive.This can explain increased fire activity in Siberia over the recent years(2019-2022).Over the whole PEEX domain,FC and FRP trends remain insignificant or negative;a decrease in AOD may address those negative trends.We show that intrasummer variations exist for cropland/grassland fires,which occur most often in May and August,while Siberian forest fires occur more often in July and August.We show that CO concentration has been gradually decreasing in the last two decades in May and June.CO trends are negative in May,June,and over summer for all regions,in July in Europe,China,the Southern zone(<55°N),and the PEEX domain.HCHO trends are not significant in all regions.NO_(2)trends are positive in May and negative in June in all zones.We calculated total column enhancement ratios for satellite obser-vations influenced by wildfires.A common feature has been recognized with measurements and ratios utilized in SILAM(System for Integrated Modelling of Atmospheric Composition):AOD(or PM):CO and AOD(or PM):HCHO ratios for grass are clearly lower than for shrubs,opposite for AOD:NO_(2).We showed that emission ratios are increasing towards South and are 2-3 times higher for high(>0.5)AOD.Using a 21-year satellite record of the AOD and CO,an 18-year record of NO_(2),and a 16-year record of HCHO,we created background products of those variables over the PEEX domain.In the regions with low anthropogenic activity and conditions where long-range transport is not happening,anomalies in AOD,CO,and HCHO over biomass-burning areas may be assigned directly to the wildfire emissions. 展开更多
关键词 peex wild fires SATELLITE TREND enhancement ratios
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