首页|Atmospheric and ecosystem big data providing key contributions in reaching United Nations' Sustainable Development Goals

Atmospheric and ecosystem big data providing key contributions in reaching United Nations' Sustainable Development Goals

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Big open data comprising comprehensive,long-term atmospheric and ecosystem in-situ observations will give us tools to meet global grand challenges and to contribute towards sustainable develop-ment.United Nations' Sustainable Development Goals (UN SDGs)provide framework for the process.We present synthesis on how Station for Measuring Earth Surface-Atmosphere Relations (SMEAR)observation network can contribute to UN SDGs.We describe SMEAR Ⅱ flagship station in Hyyti(a)l(a),Finland.With more than 1200 variables measured in an integrated manner,we can under-stand interactions and feedbacks between biosphere and atmo-sphere.This contributes towards understanding impacts of climate change to natural ecosystems and feedbacks from ecosys-tems to climate.The benefits of SMEAR concept are highlighted through outreach project in Eastern Lapland utilizing SMEARⅠ observations from V(a)rri(o) research station.In contrast to boreal environment,SMEAR concept was also deployed in Beijing.We underline the benefits of comprehensive observations to gain novel insights into complex interactions between densely popu-lated urban environment and atmosphere.Such observations enable work towards solving air quality problems and improve the quality of life inside megacities.The network of comprehensive stations with various measurements will enable science-based deci-sion making and support sustainable development by providing long-term view on spatio-temporal trends on atmospheric compo-sition and ecosystem parameters.

Grand challengesin-situ observationsbig open dataSMEAR conceptSDGs

Markku Kulmala、Anna Lintunen、Ilona Ylivinkka、Janne Mukkala、Rosa Rantanen、Joni Kujansuu、Tuukka Pet(a)j(a)、Hanna K.Lappalainen

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Institute for Atmospheric and Earth System Research (INAR)/Physics,Faculty of Science,University of Helsinki,Finland

Joint International Research Laboratory of Atmospheric and Earth System Sciences,School of Atmospheric Sciences,Nanjing University,Nanjing,China

Aerosol and Haze Laboratory,Beijing Advanced Innovation Center for Soft Matter Sciences and Engineering,Beijing University of Chemical Technology (BUCT),Beijing,China

Faculty of Geography,Lomonosov Moscow State University,Moscow,Russia

Tyumen State U

Institute for Atmospheric and Earth System Research University of Helsinki,Finland

Guangzhou Institute of Geography,Guangzhou Academy of Sciences,Guangzhou,China

Tyumen State University,Department of Cryosphere,Tyumen,Russia

Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China

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Academy of Finland grant number 337549,Russian Mega Grant projectINAR project funded by Jane and Aatos Erkko Foundation,European Research Council (ERC) project ATM-GTPArena for the gap analysis of the existing Arctic Science Co-Operations (AASCO)funded by Prince Albert Foundation

2020-220-08-58357422062859

2021

地球大数据(英文版)

地球大数据(英文版)

ISSN：
年,卷(期)：2021.5(3)
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