AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC
GES DISC 的 AIRS-CloudSat 云掩模、雷达反射率和云分类匹配 V3.2 (AIRS_CPR_MAT)
简介
这是 NetCDF-4 格式的 AIRS-CloudSat 定位子集。这些数据包括AIRS 1b 级辐射光谱、CloudSat 雷达反射率和 MODIS 云掩模。这些数据是在 MEaSUREs 项目框架内创建的。
其基本任务是汇集来自多个 "A-train "仪器（AIRS、AMSR-E、MODIS、AMSU、MLS、CloudSat）的水汽和云层属性检索数据，利用云层信息对每个 "场景"（仪器外观）进行分类，并按云层类别分层建立大气水汽随高度变化的合并多传感器气候学。这是一个大型科学分析项目，需要使用 SciFlo 技术来发现和组织所有数据集，根据需要移动和缓存数据集，找到成对仪器之间的空间/时间 "匹配"，并处理多年的卫星数据以生成气候数据记录。
该数据集的简称为 AIRS_CPR_MAT
数据文件中包含的参数如下：变量名|描述|单位 CldFrcStdErr|云分率|(无) CloudLayers|水文气象层数|（计数） CPR_Cloud_mask| CPR 云掩码|(无) DEM_elevation| 数字高程图|（米） dust_flag| 灰尘标志|(无) latAIRS|AIRS IR 纬度|（度） Latitude|CloudSat 纬度|(度)LayerBase| 层基高度|（米） LayerTop| 层顶高度|（米） lonAIRS|AIRS IR 经度|（度） Longitude|CloudSat 经度|（度） MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| （无） Radar_Reflectivity| 雷达反射率因子|（dBZe） radiances|Radiances|(milliWatts/m2/cm-) Sigma-Zadian)1/steradian) Sigma-Zero|Σ-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(无) Vertical_binsize|CloudSat vertical binsize| (m) 参数信息结束
具体信息
| Resource Type | Dataset |
|---|---|
| Metadata Created Date | November 12, 2020 |
| Metadata Updated Date | December 6, 2023 |
| Publisher | NASA/GSFC/SED/ESD/GCDC/GESDISC |
| Maintainer | GERALD MANIPON |
| Identifier | C1236224153-GES_DISC |
| Data First Published | 2006-06-15 |
| Language | en-US |
| Data Last Modified | 2012-12-14 |
| Category | MEaSUREs, geospatial |
| Public Access Level | public |
| Bureau Code | 026:00 |
| Metadata Context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
| Metadata Catalog ID | https://data.nasa.gov/data.json |
| Schema Version | https://project-open-data.cio.gov/v1.1/schema |
| Catalog Describedby | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
| Citation | Eric Fetzer, Brian Wilson, and Gerald Manipon. 2013-07-01. AIRS_CPR_MAT. Version 3.2. AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2. Greenbelt, MD, USA. AIRS_CPR_MAT_3.2. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/MEASURES/WVCC/DATA203. https://disc.gsfc.nasa.gov/datacollection/AIRS_CPR_MAT_3.2.html. Digital Science Data. |
| Creator | Eric Fetzer, Brian Wilson, and Gerald Manipon |
| Data Presentation Form | Digital Science Data |
| Graphic Preview File | https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/AIRS_CPR_MAT_3.2.png |
| Harvest Object Id | 05e26f18-33dc-42b9-a62c-51e9aab0d02b |
| Harvest Source Id | 58f92550-7a01-4f00-b1b2-8dc953bd598f |
| Harvest Source Title | NASA Data.json |
| Issue Identification | AIRS_CPR_MAT_3.2 |
| Homepage URL | https://doi.org/10.5067/MEASURES/WVCC/DATA203 |
| Metadata Type | geospatial |
| Old Spatial | -180.0 -90.0 180.0 90.0 |
| Program Code | 026:001 |
| Release Place | Greenbelt, MD, USA |
| Series Name | AIRS_CPR_MAT |
| Source Datajson Identifier | True |
| Source Hash | 3a8b1f5c7a329194d6bbfb4266a1669f2331cf655cb1d3bd7dea5330feae2ed2 |
| Source Schema Version | 1.1 |
| Spatial | |
| Temporal | 2006-06-15T00:00:00Z/2012-12-14T23:59:59.999Z |
| Hide |
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/main/nasa_earth_data.tsv"
df = pd.read_csv(url, sep="\t")
df
leafmap.nasa_data_login()
results, gdf = leafmap.nasa_data_search(
short_name="AIRSM_CPR_MAT",
cloud_hosted=True,
bounding_box=(-180, -90, 180, 90),
temporal=("2020-12-20", "2023-12-08"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
#leafmap.nasa_data_download(results[:5], out_dir="data")数据链接
AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC - Catalog
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