AIRS/Aqua L2 CO2 support retrieval (AIRS-only) V005 (AIRS2SPC) at GES DISC
简介
大气红外探测器 (AIRS) 是搭载于第二个地球观测系统 (EOS) 极地轨道平台 EOS Aqua 上的一台光栅光谱仪 (R = 1200)。AIRS 与先进微波探测装置 (AMSU) 和巴西湿度探测器 (HSB) 结合，构成了一个由可见光、红外和微波传感器组成的创新型大气探测组。AIRS 支持产品包括标准产品中发现的量的更高垂直分辨率剖面图以及中间输出（例如，仅微波反演）、痕量气体丰度等研究产品以及详细的质量评估信息。支持产品剖面图包含 1100 至 0.016 mb 之间的 100 个气压级。AIRS 颗粒被设定为 6 分钟的数据。这通常相当于轨道的约 1/15，但恰好相当于 AMSU-A 数据的 45 条扫描线或 AIRS 和 HSB 数据的 135 条扫描线。二级反演产品和气候学二氧化碳被假定为消失偏导数 (VPD) 反演算法的初始状态，该算法单独确定对流层二氧化碳混合比。AIRS 二级对流层二氧化碳产品是相邻 AIRS 二级反演点 2 x 2 阵列解的平均值，覆盖天底 90 公里 x 90 公里的区域。2 x 2 阵列解满足空间相干性质量保证 (QA) 的反演结果，该质量保证要求各个反演结果的均方根 (RMS) 偏差在 2 ppm 以内，这些反演结果包含在标准产品中。未通过此质量保证测试的反演结果包含在支持产品中。
摘要
Additional Info
Field Value
Last Updated July 18, 2025, 12:10 AM (UTC+08:00)
Created April 1, 2025, 4:42 AM (UTC+08:00)
accessLevel public
bureauCode 026:00
catalog@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation AIRS Science Team/Moustafa Chahine. 2010-01-01. AIRS2SPC. Version 005. AIRS/Aqua L2 CO2 support retrieval (AIRS-only) V005. Greenbelt, MD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://disc.gsfc.nasa.gov/datacollection/AIRS2SPC_005.html. Digital Science Data.
creator AIRS Science Team/Moustafa Chahine
data-presentation-form Digital Science Data
graphic-preview-file https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/AIRS2SPC_005.png
harvest_object_id fd88c69e-130c-414d-980d-8eedafb6b37c
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier C1243477370-GES_DISC
issued 2010-01-01
landingPage https://cmr.earthdata.nasa.gov:443/search/concepts/C1243477370-GES_DISC.html
language en-US
metadata_type geospatial
modified 2017-03-01
programCode 026:001
publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
release-place Greenbelt, MD, USA
resource-type Dataset
series-name AIRS2SPC
source_datajson_identifier true
source_hash e7efce01e6e8cc8cd6c8af2e052fcfce14abcf09c287c8e716700f8ff334e19d
source_schema_version 1.1
spatial -180.0 -90.0 180.0 90.0
temporal 2010-01-01T00:00:00Z/2022-01-17T00:00:00Z
theme Aqua,geospatial
代码
!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify
import pandas as pd
import leafmap
url = "https://github.com/opengeos/NASA-Earth-Data/raw"
df = pd.read_csv(url, sep="\t")
df
leafmap.nasa_data_login()
results, gdf = leafmap.nasa_data_search(
short_name="AIRS2SUP",
cloud_hosted=True,
bounding_box=(-180, -90, 180, 90),
temporal=("2002-08-30", "2002-09-07"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
leafmap.nasa_data_download(results[:5], out_dir="data")
