LBA-ECO CD-01 Meteorological Data, Tapajos and Amazon Rivers, Santarem, Brazil: 2001
简介
该数据集包含 2001 年 7 月和 8 月在巴西圣塔伦附近亚马逊盆地塔帕若斯河与亚马逊河交汇处附近收集的气象数据。边界层和高空测量数据由声学测深仪-声雷达仪、带光学经纬仪的探空气球和无线电探空仪收集。无线电探空仪除了测量风速和风向外，还测量了气压、温度和相对湿度。测量数据由五个当地站以不同的频率进行。该数据集包含 41 个逗号分隔的数据文件。数据集附带的支持信息包括：天气预报：天气预报用于确定 CIRSAN 实验期间气球飞行的有利条件，并帮助确定无线电探空仪的发射频率。研究期间的每日观测和预报天气描述（Weather_forecasts_Santarem.txt）也包含在内。卫星图像：提供了 CIRSAN 期间的所有卫星图像。这是来自各种仪器和卫星平台的图像的汇编。 （参见 readme_sat.txt）。共有 42 幅 .gif 格式的图片。CPTEC 分析文件：CPTEC 全球分析建模活动使用了 CIRSAN 测量数据。太平洋和南美地区的模型输出结果以 GRIB 格式提供。（参见 readme_GPSA.txt）
摘要
Radiosonde Data (2 files):
File #1: CIRSAN_radiosonde_Belterra_July_2001.csv
File #2: CIRSAN_radiosonde_Belterra_August_2001.csv
Radiosonde Data File Contents and Organization:
Column Heading Units/format Description
1 Date YYYYMMDD Sample date (YYYYMMDD)
2 Year yyyy Year sampled. All samples were collected in 2001
3 Month mm Month sampled. All samples included in this file were collected in July
4 Day dd Day sampled (day of the month)
5 T_l unch GMT, Time balloon was launched given in GMT. Local time is GMT-5
6 Asc_rate m/s Balloon ascention rate reported in meters per second (m/s)
7 Ht_geosp m Geopotential height in meters (m) at time measurements were recorded
8 Air_press hPa Air pressure recorded in hPa
9 Air_T degrees C Air temperature reported in degrees Celsius
10 U_rel % Relative humidity reported in percent
11 T_dewpoint degrees C Dewpoint temperature reported in degrees Celsius
12 Wind_dir degrees Wind direction
13 Windspeed m/s Wind magnitude in meters per second
14 T_pot degrees K Potential temperature
15 R_mix g/kg Water vapor mixing ratio
Missing data are represented by -9999.9
Pilot Balloon Data (3 files):
File #3: CIRSAN_pilot_balloon_Belterra_August_2001.csv
File #4: CIRSAN_pilot_balloon_Boim_July_2001.csv
File #5: CIRSAN_pilot_balloon_Pindobal_July_2001.csv
Pilot Balloon Data File Contents and Organization:
Column Heading Units/format Description
1 Date YYYYMMDD Sample date (YYYYMMDD)
2 Year yyyy Year sampled. All samples were collected in 2001
3 Month mm Month sampled. All samples included in this file were collected in August
4 Day dd Day sampled (day of the month)
5 Hour GMT Time at start of the sampling period in 24 hour clock. Time reported is GMT time
6 Time s Elapsed time since the start of measurements
7 Dist_EW m Balloon distance in meters (m) on WEST-EAST axis from launching point (negative values indicate west) at sampling point
8 Dist_NS m Balloon distance in meters(m) on SOUTH-NORTH axis from launching point ( negative values indicate south) at sampling point
9 Height m Balloon height in meters above ground level ( m) at sampling point
10 U_windspeed m per s Zonal wind speed in meters per second
11 V_windspeed m per s Meridional wind speed In meter per second
12 Mag_windspeed m per s Wind magnitude in meters per second
13 Direct_wind degrees Wind direction in degrees with north represented by 0 and south by 180
Sonic radar (sodar) data
The 36 data files are named as follows:
YYYYMMDD_Santarem_sodar.csv. Each file contains data for one day, and includes days 20010713 - 20010816.
YYYY = year
MM = month
DD = day
Example file name: 20010713_santarem_sodar.csv
File format for 36 sonic radar data files:
Column Heading Units/format Description
1 Year YYYY Year in which measurements were collected (YYYY)
2 Month M Month in which measurements were collected (M)
3 Day DD Day on which measurements were collected (DD)
4 Hour Hour at which measurement series started on a 24 hour clock. Time reported is GMT and local time is GMT -4
5 Minute Minute at which measurement series started on a 24 hour clock. Time reported is GMT and local time is GMT -4
6 Inv_layer m Inversion layer depth
7 Alt m Height above ground level
8 C_tempsquared Temperature structure function
9 Vel m per s Wind magnitude
10 Dir degrees Wind direction
11 Sd_dir degrees Wind direction standard deviation
12 Vert_vel m per s Vertical velocity
13 Sd_vert_vel m per s Vertical velocity standard deviation
14 Sd_Zonal_vel m per s Zonal wind standard deviation
15 Sd_meridional_vel m per s Meridional wind standard deviation
16 Stability_index “See Automatic Stability Classification Routine description in Section 5 of the guide documentation”
Missing data are represented by -9999.9
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="CD01_CIRSAN_Meteorology_2001_1114",
cloud_hosted=True,
bounding_box=(-55.42, -3.07, -54.56, -2.2),
temporal=("2001-08-01", "2001-08-16"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
