​LBA-ECO CD-32 LBA Model Intercomparison Project (LBA-MIP) Forcing Data

简介

该数据集填补了 1999 年至 2006 年间巴西九座通量塔的气象观测数据空白。测量数据包括：气温、比湿、风速模量、地面向下长波和短波辐射、地面气压、降水量以及二氧化碳（CO2）。这些大气数据以 1 小时为时间步长提供。这些数据被用作 LBA 模式比对项目（LBA-MIP）的标准化强迫数据输入。

摘要

Missing values represented as -999.00. Years have 365 or 366 days, depending on if the year is or is not a leap year.

NaN note: In several of the data files, the flags (GF) that indicate whether a meteorolgical value is an original or a gap-filled number do not have consistent values. The majority of the GF fields have correct values, either 0 for an orginal value or 1 for a gap-filled value. A few GF fields have values of "NaN" and inspection reveals that the correct GF value could be either 0 or 1. The meterological values are unaffected by the GF flag inconsistency.

Example file: Reserva_Jaru_2000uaz.100217LWnet.leap.csv

Site boundaries:(All latitude and longitude given in decimal degrees)

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="CD32_LBA_MIP_Drivers_1177",
    cloud_hosted=True,
    bounding_box=(-62.36, -21.62, -47.65, -1.75),
    temporal=("1999-01-01", "2006-12-31"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

de Goncalves, L.G.G., N. Restrepo-Coupe, H.R. da Rocha, S.R. Saleska, and R. Stockli. 2013. LBA-ECO CD-32 LBA Model Intercomparison Project (LBA-MIP) Meteorological Forcing Data. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA