ABoVE/ASCENDS：2017 年二氧化碳探测器大气后向散射系数剖面图

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此星光明 发表于 2025/07/01 15:12:35 2025/07/01
【摘要】  ABoVE/ASCENDS: Atmospheric Backscattering Coefficient Profiles from CO2 Sounder, 2017简介该数据集提供了 2017 年 7 月 20 日至 2017 年 8 月 8 日在美国阿拉斯加、加拿大育空地区和西北地区开展的“夜间、白天和季节二氧化碳排放主动感知” (ASCENDS) 部署期间收集的大气后向散射系数剖...

 ABoVE/ASCENDS: Atmospheric Backscattering Coefficient Profiles from CO2 Sounder, 2017

简介

该数据集提供了 2017 年 7 月 20 日至 2017 年 8 月 8 日在美国阿拉斯加、加拿大育空地区和西北地区开展的“夜间、白天和季节二氧化碳排放主动感知” (ASCENDS) 部署期间收集的大气后向散射系数剖面图。这些剖面图由 DC-8 飞机上携带的二氧化碳探测器激光雷达测量。机载二氧化碳探测器是一种脉冲、多波长积分路径差分吸收激光雷达，用于估算从飞机到散射表面的天底路径中的柱平均干空气二氧化碳混合比 (XCO2)。除了 XCO2 之外，激光雷达接收器还记录激光脉冲在大气中传播时的时间分辨大气后向散射信号强度。原始激光雷达数据被转换为大气后向散射截面积和双向大气传输，也称为衰减后向散射剖面。这些 ASCENDS 飞行与 2017 年北极-北方脆弱性实验 (ABoVE) 活动协调，并以 ICARTT 格式提供。


本数据集包含 16 个 ICARTT 格式 (*.ict) 的数据文件。此外，还包含用于处理 2017 年 ABoVE 空中观测活动期间二氧化碳激光探测器测量的大气后向散射廓线数据（数据处理）的 Matlab 脚本。


摘要

Table 2. Variable names and descriptions in files named ASCENDS-CO2SOUNDER-BSCATPROF_DC8_YYYYMMDD_RX.ict. These files are multi-dimensional ICARTT files. AttenuatedBackscatterCoefficient is the primary variable, and the remaining variables are auxiliary variables.

Variable Units Description
AttenuatedBackscatterCoefficient m-1 Lidar BackScattering Profile (a vector of altitude-specific observations, n=Num_Altitudes and varies between sample locations)
Num_Altitudes 1 Number of altitude-specific observations of AttenuatedBackscatterCoefficient
Geo_Alt_Begin m Geometric altitude at which data begin
Alt_Increment m Altitude increment between observations
Std_Dev_Noise m-3 Standard deviation of the noise floor
Aircraft_Latitude degrees_north Latitude
Aircraft_Longitude degrees_east Longitude
Aircraft_Altitude m Height above mean sea level from CO2 Sounder GPS
Lidar_Off_nadir_Angle degrees Angle between lidar beam and nadir
Obs_Flag Eight-digit observation flag (0 or 1):
Flag 1, 1 = the gain was not 1
Flag 2, 1 = missing location data for that second, and location was interpolated from the Ascends-Hskping_DC8_YYYYMMDD_R0.ict file
Flag 3, 1 = aircraft's roll exceeded 5 degrees
Flag 4, 1 = raw data was anomalous (saturation, excessive DC offset, etc.)
Flags 5 through 8, unused

Table 3. Variable names and descriptions in files named Ascends-Hskping_DC8_YYYYMMDD_R0.ict. 

Variable Units Description
Start_UTC s Seconds since midnight UTC on flight date
Day_Of_Year d Day of year, beginning January 1
Latitude degrees Latitude
Longitude degrees Longitude
MSL_GPS_Altitude m Sensor height above mean sea level
HAE_GPS_Altitude m Sensor height above WGS84 ellipsoid
Pressure_Altitude ft Aircraft altitude from air pressure sensor
Radar_Altitude ft Aircraft altitude from radar
Ground_Speed m s-1 Aircraft ground speed
True_Air_Speed kts Air speed in knots
Indicated_Air_Speed kts Air speed in knots
Mach_Number mach Air speed in mach number
Vertical_Speed m s-1 Vertical speed
True_Heading degrees Aircraft heading, 0-360 degrees, clockwise from +y
Track_Angle degrees  Aircraft track, 0-360 degrees, clockwise from +y
Drift_Angle degrees  Aircraft drift, +/-180 degrees, clockwise from +y
Pitch_Angle degrees  Aircraft pitch, +/-180 degrees, up+
Roll_Angle degrees  Aircraft roll, +/-180 degrees, right+
Static_Air_Temp degrees Celsius Air temperature
Potential_Temp degrees Kelvin Air temperature
Dew_Point degrees Celsius Dew point temperature
Total_Air_Temp degrees Celsius Air temperature
IR_Surf_Temp degrees Celsius Surface temperature
Static_Pressure mb Air pressure
Cabin_Pressure mb Air pressure
Wind_Speed m s-1  Wind speed, limited to where Roll_Angle <= 5 degrees
Wind_Direction degrees Wind direction, 0-360 degrees, clockwise from +y
Solar_Zenith_Angle degrees Solar zenith angle
Aircraft_Sun_Elevation degrees Aircraft sun elevation angle
Sun_Azimuth degrees Sun azimuth angle
Aircraft_Sun_Azimuth degrees Aircraft-sun azimuth angle
Mixing_Ratio g kg-1 Atmospheric mixing ratio
Part_Press_Water_Vapor mb Partial pressure of water vapor
Sat_Vapor_Press_H2O mb Saturated vapor pressure over liquid water
Sat_Vapor_Press_Ice mb Saturated vapor pressure over ice
Relative_Humidity percent

Relative humidity

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="ABoVE_ASCENDS_Backscatter_2051",
    cloud_hosted=True,
    bounding_box=(-165.68, 34.59, -98.15, 71.27),
    temporal=("2017-07-20", "2017-08-08"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

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