Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China

万维网 电子邮件 计算机科学
作者
Jing Wei,Zhanqing Li,Ke Li,Russell R. Dickerson,R. T. Pinker,Jun Wang,Xiong Liu,Lin Sun,Wenhao Xue,Maureen Cribb
标识
DOI:10.1002/essoar.10507721.1
摘要

Earth and Space Science Open Archive This work has been accepted for publication in Remote Sensing of Environment. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v1]Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across ChinaAuthorsJingWeiiDZhanqingLiKeLiRussell R.DickersoniDRachel T.PinkerJunWangiDXiongLiuiDLinSunWenhaoXueMaureenCribbiDSee all authors Jing WeiiDCorresponding Author• Submitting AuthorUniversity of IowaiDhttps://orcid.org/0000-0002-8803-7056view email addressThe email was not providedcopy email addressZhanqing LiUniversity of Marylandview email addressThe email was not providedcopy email addressKe LiHarvard Universityview email addressThe email was not providedcopy email addressRussell R. DickersoniDUniversity of MarylandiDhttps://orcid.org/0000-0003-0206-3083view email addressThe email was not providedcopy email addressRachel T. PinkerUniversity of Marylandview email addressThe email was not providedcopy email addressJun WangiDUniversity of IowaiDhttps://orcid.org/0000-0002-7334-0490view email addressThe email was not providedcopy email addressXiong LiuiDHarvard Smithsonian Center for AstrophysicsiDhttps://orcid.org/0000-0003-2939-574Xview email addressThe email was not providedcopy email addressLin SunShandong University of Science and Technologyview email addressThe email was not providedcopy email addressWenhao XueBeijing Normal Universityview email addressThe email was not providedcopy email addressMaureen CribbiDUniversity of MarylandiDhttps://orcid.org/0000-0002-9745-3676view email addressThe email was not providedcopy email address
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
nxl完成签到,获得积分10
刚刚
浅浅笑发布了新的文献求助10
刚刚
1秒前
传奇3应助zhiyin你太美采纳,获得10
1秒前
思思发布了新的文献求助10
1秒前
1秒前
2秒前
顾矜应助cc采纳,获得10
2秒前
4秒前
111发布了新的文献求助10
4秒前
5秒前
bkagyin应助Russs采纳,获得10
5秒前
6秒前
摆渡人发布了新的文献求助10
6秒前
无名氏应助15采纳,获得10
8秒前
wu发布了新的文献求助10
8秒前
8秒前
LuS发布了新的文献求助10
8秒前
Hx完成签到,获得积分10
9秒前
田様应助rrrr采纳,获得10
9秒前
咔咔发布了新的文献求助10
10秒前
cdercder应助Pony采纳,获得10
10秒前
在水一方应助浅浅笑采纳,获得10
10秒前
dm11发布了新的文献求助10
10秒前
张欢馨应助坚定的水蜜桃采纳,获得10
11秒前
11秒前
11秒前
卡卡完成签到 ,获得积分10
12秒前
bkagyin应助S1mple采纳,获得10
12秒前
领导范儿应助万事都灵采纳,获得10
13秒前
喜悦半莲完成签到,获得积分10
13秒前
13秒前
JimmyC发布了新的文献求助10
13秒前
15秒前
15完成签到,获得积分10
15秒前
h6发布了新的文献求助50
15秒前
Ava应助蓝茶采纳,获得10
15秒前
molihuakai应助liangbingyan采纳,获得10
16秒前
uhi完成签到,获得积分10
17秒前
wjy关闭了wjy文献求助
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583418
求助须知:如何正确求助?哪些是违规求助? 9162124
关于积分的说明 19606084
捐赠科研通 7165445
什么是DOI,文献DOI怎么找? 3266283
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257727