ACT-America: L2 In Situ CO2, CO, and CH4 Concentrations from Towers, Eastern USA
简介
该数据集提供了由大气碳和运输-美国 (ACT-America) 项目运营的仪器通信塔网络测得的大气二氧化碳 (CO2)、一氧化碳 (CO) 和甲烷 (CH4) 浓度。ACT-America 的任务为期五年，包括五次为期 6 周的密集实地活动，涵盖美国中部和东部所有 4 个季节和 3 个地区。基于塔的测量始于 2015 年初，并持续收集 CO2、CO 和 CH4 数据，以表征地面（> 100 m）碳背景条件，从而支持 ACT-America 开展的定期空中测量活动和运输建模。这些塔配备了红外腔衰荡光谱仪系统 (CRDS；Picarro Inc.)。报告了每个塔上最高采样口的数据。提供了从定期烧瓶样品到现场测量比较得出的平均间隔标准偏差和不确定度。还提供完整的塔位置、海拔、仪器高度和日期/时间信息。
摘要
Variable Name Description Units
Station Information
altitude height above ground level m
latitude site latitude decimal degrees north
longitude site longitude decimal degrees east
site_name site name
Time Series Variables
C2H6 dry C2H6 mixing ratio average between Time_start and Time_stop in parts per billion by volume ppbv
CH4 dry CH4 mixing ratio average between Time_start and Time_stop in parts per billion by volume ppbv
CH4_std dry CH4 mixing ratio standard deviation between Time_start and Time_stop in parts per billion by volume ppbv
CH4_unc estimated CH4 measurement uncertainty in parts per billion by volume ppbv
CH4_IsotopicRatio isotopic ratio (13C/12C) of CH4 in permil per mil
CO dry CO mixing ratio average between Time_start and Time_stop in parts per billion by volume ppbv
CO_std dry CO mixing ratio standard deviation between Time_start and Time_stop in parts per billion by volume ppbv
CO_unc estimated CO measurement uncertainty in parts per billion by volume ppbv
CO2 dry CO2 mixing ratio average between Time_start and Time_stop in parts per million by volume ppmv
CO2_std dry CO2 mixing ratio standard deviation between Time_start and Time_stop in parts per million by volume ppmv
CO2_unc estimated CO2 measurement uncertainty in parts per million by volume ppmv
Data_Flag data quality indicator 1 indicates no known problems. 0 indicates that the data is not recommended for use.
DOY day of year of the measurement day of year
H20 water vapor mixing ratio average of the dried sample between Time_start and Time_stop in parts per hundred by volume. Samples are dried, H2O useful only for diagnostic purposes. %
Hour nominal hour of the measurement hour
Instrument_Flag indicator of the instrument used to make the measurement 0 = CFKADS2005, 1 = CFKADS2025, 2 = CFKADS2218
N_points * number of points included in average
time time hours since 2016-01-01 00:00:00.0 UTC
Time_mid average fractional day of year of the measurement fractional day of year UTC
Time_start minimum fractional day of year of the measurement fractional day of year UTC
Time_stop maximum fractional day of year of the measurement fractional day of year UTC
Year year of the measurement year
Out of Range or Missing
ulod_flag Data greater than the upper limit of detection -7777
llod_flag Data less than the upper limit of detection -8888
Missing data, nodata, or _FillValue -9999
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"
df = pd.read_csv(url, sep="\t")
df
leafmap.nasa_data_login()
results, gdf = leafmap.nasa_data_search(
short_name="ACTAMERICA-PICARRO_Ground_1568",
cloud_hosted=True,
bounding_box=(-98.59, 30.2, -76.42, 44.05),
temporal=("2015-01-01", "2017-12-31"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
leafmap.nasa_data_download(results[:5], out_dir="data")
