CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data- A Big Earth Data Platform for Three Poles

CAMELE: Collocation-Analyzed Multi-Source Ensembled Land Evapotranspiration data provide an estimation of global land total evapotranspiration at 0.1°-8daily and 0.25°-daily resolutions. The 0.1°-8daily collection covers the period from 20010101 to 20190829, while the 0.25°-daily provides the estimation from 19810101 to 20200831. TCA-based algorithms are used to evaluate the uncertainties and the error cross-correlation value of five widely used global land evapotranspiration products, including ERA5-land total evaporation, FLUXCOM-RS, PMLV2 (Penman-Monteith-Leuning model version 2 global evaporation), GLEAM v3.3a and GLDASv2.1 Noah. By minimizing the mean square error, the optimal weights of each product for linear combination are given using the evaluation results. Multiple information including the core collection method, synthetic experiments, site-based validation and evaluation of the merging data were described in our paper.

File naming and required software

Name:
CAMELE.ET.025D.1D.600_1440.YYYYMMDD.nc
CAMELE.ET.01D.8D.1500_3600.YYYYMMDD.nc
Format:
netcdf4_classic
Dimensions:
lat = 600 or 1500
lon = 1440 or 3600
Variables:
ET
Size: 600x1440 or 1500x3600
Dimensions: lat,lon
Datatype: double
Attributes:
unit = 'mm d-1'
long_name = 'Total Actual E+T'
missing_value = -9999
FillValue = -9999
scale_factor = 1
add_offset = 0
lon
Size: 1440x1 or 3600x1
Dimensions: lon
Datatype: double
Attributes:
units = 'degrees_east'
long_name = 'longitude'
lat
Size: 600x1 or 1500x1
Dimensions: lat
Datatype: double
Attributes:
units = 'degrees_north'
long_name = 'latitude'

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Cite as:

Li, C., Yang, H. (2021). CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data. A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)