five

EarthCARE level-2 demonstration products from simulated scenes|大气科学数据集|卫星遥感数据集

收藏
Mendeley Data2024-06-27 更新2024-06-27 收录
大气科学
卫星遥感
下载链接:
https://zenodo.org/record/7117116
下载链接
链接失效反馈
资源简介:
Overview The EarthCARE satellite combines four instruments, a Cloud Profiling Radar (CPR), an Atmospheric Lidar (ATLID), a Multispectral Imager (MSI) and a Broadband Radiometer (BBR), from which many products will be generated on the properties of clouds, aerosols, precipitation and radiation. The dataset in this repository consists of test products generated from simulated 3D scenes produced by the Canadian Global Environmental Multiscale (GEM) model. This includes both Level 1 (L1) "input" products containing simulated satellite measurements, and Level 2 (L2) "output" products produced by running the various European retrieval algorithms on the inputs. The dataset has been produced as part of the European Space Agency funded "CARDINAL" project involving numerous European and Canadian scientists, and there are several versions representing the evolution of the algorithms during preparation for the launch of EarthCARE. The scenes and algorithms are discussed in detail in a Special Issue of the journal Atmospheric Modelling Techniques (AMT), so the overview here is limited to a summary of what is contained in this dataset. Directory structure The three top-level directories inside the zip file are for the three simulated scenes, each of which represent a single 6000-km long EarthCARE granule: Halifax: A swath over the Atlantic Ocean from the Caribbean to the Labrador Sea, passing close to Halifax in Nova Scotia Baja: A swath passing over the Rocky Mountains and the Baja California peninsula in Mexico Hawaii: A swath over the Pacific Ocean passing close to Hawaii Each of these directories contains three further directories: input: simulated level-1 instrument data output: level-2 meteorological products generated from the input data logs: text files logging the progress of the algorithms as they generated the level-2 data The input and output directories contain subdirectories for each product, and these each contain two files: A NetCDF4/HDF5 file with the suffix "h5" containing the retrieved data An XML file with the suffix "HDR" containing a description of the variables in the file (reproducing metadata already in the NetCDF4/HDF5 file) Input products (L1) The level-1 products are named Y-ZZZ where Y indicates the source of the data (A=ATLID, C=CPR, M=MSI, B=BBR and X=auxiliary) and ZZZ is a shortened version of the product name: A-NOM: Nominal ATLID measurements C-NOM: Nominal CPR measurements M-RGR: Regridded MSI measurements B-NOM: Nominal BBR measurements averaged to various scales B-SNG: Single-pixel BBR measurements X-JSG: Definition of the Joint Standard Grid on to which several of the observations are interpolated X-MET: Meteorological data from ECMWF Single-instrument output products (L2a) The naming convention is the same as the L1 data products. A-AER: ATLID aerosol profiles A-ALD: ATLID aerosol layer descriptor A-CTH: ATLID cloud top height A-EBD: ATLID extinction, backscatter and depolarization A-FM: ATLID feature mask A-ICE: ATLID ice cloud properties A-TC: ATLID target classification C-CD: CPR corrected Doppler velocity C-CLD: CPR cloud properties C-FMR: CPR feature mask and reflectivity C-TC: CPR target classification M-AOT: MSI aerosol optical thickness M-CM: MSI cloud mask M-COP: MSI cloud optical and physical properties Multi-instrument output products (L2b) The level-2b output products are named YY-ZZZ where YY is 2-4 character code conveying which of the four instruments were used and ZZZ is the shortened version of the product name. AC-TC: ATLID-CPR target classification AM-ACD: ATLID-MSI aerosol column descriptor AM-CTH: ATLID-MSI cloud top height BM-RAD: BBR-MSI broadband radiances (unfiltered) ACM-3D: ATLID-CPR-MSI constructed 3D scene ACM-CAP: ATLID-CPR-MSI synergistic retrieval of cloud, aerosol and precipitation ACM-COM: ATLID-CPR-MSI composite of single-instrument cloud and aerosol retrievals ACM-RT: ATLID-CPR-MSI radiative fluxes and heating rates computed on the retrievals BMA-FLX: BBR-MSI-ATLID broadband fluxes ACMB-DF: ATLID-CPR-MSI-BBR difference between radiances and fluxes computed from retrievals (ACM-RT) and measurements (BM-RAD, BMA-FLX) Filename format The data filenames and directories have the following name format: ECA_EXAA_YYY_ZZZ_LL_OBSERVATION-TIME_GENERATION-TIME_VVVVVV where: "ECA" indicates EarthCARE. EXAA indicates the file class: ESA, Latency N/A, Simulator, Baseline N/A. YYY is a three-character code indicating the instrumental source of the data. The 1-4 character codes defined in the sections above are converted to 3 character codes as follows: A -> ATL, C -> CPR, M -> MSI, B -> BBR, X -> AUX, AM -> AM_, AC -> AC_, BM -> BM_, ACMB -> ALL. ZZZ is a three-character code abbreviating the full name of the product, as defined in the sections above. LL represents the level of the data from 1B, 1C, 1D, 2A and 2B. OBSERVATION-TIME is a code representing the date and time the observations were taken in the form yyyymmddThhmmssZ. Note that for the present datasets the dates are fictional future dates. GENERATION-TIME is a code of the same form representing the time that the processor was run to produce the data product. VVVVVV indicates the orbit number and frame letter. Further information may be obtained from the papers in the special issue of AMT. The description here may be expanded in future. Contacts: Gerd-Jan van Zadelhoff <gerd-jan.van.zadelhoff@knmi.nl> and Robin Hogan <r.j.hogan@ecmwf.int>
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

中国气象数据

本数据集包含了中国2023年1月至11月的气象数据,包括日照时间、降雨量、温度、风速等关键数据。通过这些数据,可以深入了解气象现象对不同地区的影响,并通过可视化工具揭示中国的气温分布、降水情况、风速趋势等。

github 收录

学生课堂行为数据集 (SCB-dataset3)

学生课堂行为数据集(SCB-dataset3)由成都东软学院创建,包含5686张图像和45578个标签,重点关注六种行为:举手、阅读、写作、使用手机、低头和趴桌。数据集覆盖从幼儿园到大学的不同场景,通过YOLOv5、YOLOv7和YOLOv8算法评估,平均精度达到80.3%。该数据集旨在为学生行为检测研究提供坚实基础,解决教育领域中学生行为数据集的缺乏问题。

arXiv 收录

SuMeyYao/ysmpubmedclt

该数据集的许可证为apache-2.0,主要用于表格问答任务,数据集语言为英语,大小介于1亿到10亿之间。

hugging_face 收录

中国食物成分数据库

食物成分数据比较准确而详细地描述农作物、水产类、畜禽肉类等人类赖以生存的基本食物的品质和营养成分含量。它是一个重要的我国公共卫生数据和营养信息资源,是提供人类基本需求和基本社会保障的先决条件;也是一个国家制定相关法规标准、实施有关营养政策、开展食品贸易和进行营养健康教育的基础,兼具学术、经济、社会等多种价值。 本数据集收录了基于2002年食物成分表的1506条食物的31项营养成分(含胆固醇)数据,657条食物的18种氨基酸数据、441条食物的32种脂肪酸数据、130条食物的碘数据、114条食物的大豆异黄酮数据。

国家人口健康科学数据中心 收录

网易云音乐数据集

该数据集包含了网易云音乐平台上的歌手信息、歌曲信息和歌单信息,数据通过爬虫技术获取并整理成CSV格式,用于音乐数据挖掘和推荐系统构建。

github 收录