five

HTAP_v3 emission mosaic|大气污染数据集|排放数据数据集

收藏
Mendeley Data2024-05-10 更新2024-06-27 收录
大气污染
排放数据
下载链接:
https://zenodo.org/records/7516361
下载链接
链接失效反馈
资源简介:
The HTAP_v3 emission mosaic is developed under the umbrella of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP) and responds to the need of the global and regional atmospheric modelling community of having a mosaic emission inventory of air pollutants that conforms to specific requirements: global coverage, long time series, spatially distributed emissions with high time resolution, and a high sectoral resolution. The mosaic approach of integrating official regional emission inventories based on locally reported data, with a global inventory based on a globally consistent methodology, allows modellers to perform simulations of a high scientific quality while also ensuring that the results remain relevant to policymakers. HTAP_v3, an ad-hoc global mosaic of anthropogenic inventories, has been developed by integrating official inventories over specific areas (North America, Europe, Asia including Japan and Korea) with the independent Emissions Database for Global Atmospheric Research (EDGAR) inventory for the remaining world regions. The results are spatially and temporally distributed emissions of SO2, NOx, CO, NMVOC, NH3, PM10, PM2.5, Black Carbon (BC), and Organic Carbon (OC), with a spatial resolution of 0.1 x 0.1 degree and time intervals of months and years covering the period 2000-2018. The emissions are further disaggregated to 16 anthropogenic emitting sectors. This paper describes the methodology applied to develop such an emission mosaic, reports on source allocation, differences among existing inventories, and best practices for the mosaic compilation. One of the key strengths of the HTAP_v3 emission mosaic is its temporal coverage, enabling the analysis of emission trends over the past two decades. The development of a global emission mosaic over such long time series represents a unique product for global air quality modelling and for better-informed policy making, reflecting the community effort expended by the TF-HTAP to disentangle the complexity of transboundary transport of air pollution. The emission data are available in the following formats: 1) Time series (2000-2018) of monthly and annual emissions by sector and country as .xls files. 2) Emission gridmaps: Monthly emission (in Mg/month) gridmaps at 0.1x0.1degree resolution: one .NetCDF file per year and substance is produce including for each sector the emissions for the 12 months. Monthly gridmaps of emission fluxes (in kg/m2/s) at 0.1x0.1degree resolution: one .NetCDF file per year and substance is produce including for each sector the emission fluxes for the 12 months. Annual emission (in Mg/year) gridmaps at 0.1x0.1degree resolution: one .NetCDF file per year and substance is produce including the emissions for each sector. Annual emission (in kg/m2/s) gridmaps at 0.1x0.1degree resolution: one .NetCDF file per year and substance is produce including the emission fluxes for each sector. To facilitate data access and use, gridmaps at 0.5x0.5 degree resolution are also made available following the abovementioned specifications of the higher spatial resolution data (0.1x0.1 degree).
创建时间:
2023-06-28
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

Figshare

Figshare是一个在线数据共享平台,允许研究人员上传和共享各种类型的研究成果,包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。

figshare.com 收录

Awesome JSON Datasets

一个精选的无需认证的JSON数据集列表。

github 收录

WideIRSTD Dataset

WideIRSTD数据集包含七个公开数据集:SIRST-V2、IRSTD-1K、IRDST、NUDT-SIRST、NUDT-SIRST-Sea、NUDT-MIRSDT、Anti-UAV,以及由国防科技大学团队开发的数据集,包括模拟陆基和太空基数据,以及真实手动标注的太空基数据。数据集包含具有各种目标形状(如点目标、斑点目标、扩展目标)、波长(如近红外、短波红外和热红外)、图像分辨率(如256、512、1024、3200等)的图像,以及不同的成像系统(如陆基、空基和太空基成像系统)。

github 收录

AISHELL/AISHELL-1

Aishell是一个开源的中文普通话语音语料库,由北京壳壳科技有限公司发布。数据集包含了来自中国不同口音地区的400人的录音,录音在安静的室内环境中使用高保真麦克风进行,并下采样至16kHz。通过专业的语音标注和严格的质量检查,手动转录的准确率超过95%。该数据集免费供学术使用,旨在为语音识别领域的新研究人员提供适量的数据。

hugging_face 收录

RAVDESS

情感语音和歌曲 (RAVDESS) 的Ryerson视听数据库包含7,356个文件 (总大小: 24.8 GB)。该数据库包含24位专业演员 (12位女性,12位男性),以中性的北美口音发声两个词汇匹配的陈述。言语包括平静、快乐、悲伤、愤怒、恐惧、惊讶和厌恶的表情,歌曲则包含平静、快乐、悲伤、愤怒和恐惧的情绪。每个表达都是在两个情绪强度水平 (正常,强烈) 下产生的,另外还有一个中性表达。所有条件都有三种模态格式: 纯音频 (16位,48kHz .wav),音频-视频 (720p H.264,AAC 48kHz,.mp4) 和仅视频 (无声音)。注意,Actor_18没有歌曲文件。

OpenDataLab 收录