CARVE: L1 In-situ Carbon and CH4 Flux and Meteorology at EC Towers, Alaska, 2011-2015

简介

该数据集提供了位于阿拉斯加北极苔原的三个涡流协方差塔站的固定仪器的地面原位通量和气象科学数据。2011 年至 2015 年间，除了标准气象和环境变量外，每半小时报告一次位于阿拉斯加阿特卡苏克、巴罗和伊沃图克站点的二氧化碳、甲烷、水蒸气和潜能通量的真实和空白观测数据。这三个站点在阿拉斯加北坡形成了一个 300 公里的南北横断面，每个站点代表不同的北极植被群落。这些塔式测量创建了地球上最大、最不稳定的碳储量之一的长期记录。这些塔式观测数据用于确定二氧化碳和甲烷通量的季节和年际模式，以及它们与环境因素变化的关系。

摘要

Table 1. Column headers, description, units, and instrument from Atqasuk (ATQ), Barrow (BRW), and Ivotuk (IVO) eddy covariance towers. 

Note: Quality flags are: 0 = observation value; 1 = interpolated value

* Gap filling done using methods described in Watts et al, 2014

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="CARVE_L1_Ground_Flux_1424",
    cloud_hosted=True,
    bounding_box=(-157.41, 68.49, -155.75, 71.32),
    temporal=("2011-05-30", "2016-01-07"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Baldocchi, D.D., B. B. Hicks, and T. P. Meyers. 1988. Measuring biosphere-atmosphere exchanges of biologically related gases with micrometeorological methods. Ecology 69, 1331–1340.

Watts, J.D., J.S. Kimball, F.J.W. Parmentier, T. Sachs, J. Rinne, D. Zona, W. Oechel, T. Tagesson, M. Jackowicz-Korczynski, and M. Aurela. 2014. A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes. Biogeosciences 11:1961-1980.