Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/7826004
下载链接
链接失效反馈官方服务:
资源简介:
This repository contains several datasets of spectral atmospheric transfer functions (i.e. path radiance, transmittances, spherical albedo) simulated with MODTRAN6 atmospheric radiative transfer model. The simulations are stored in hdf5 files using the Atmospheric Look-up table Generator (ALG) toolbox (https://doi.org/10.5194/gmd-13-1945-2020). Each dataset has an associated .xml file that includes the configuration of ALG/MODTRAN6 executions. All datasets include the input atmospheric/geometric variables that are summarized in the following table. Each dataset file has a random distribution (based on latin hypercube sampling) these input variables with varying number of points (e.g. train500.h5 contains 500 samples). The reference dataset contains 10000 samples and was used as reference for evaluating Gaussian Processes emulators.
Input Variables
Units
Min
Max
O3 column concentration
atm-cm
0.25
0.45
Columnar Water Vapor
g/cm2
0.2
4
Aerosol Optical Thickness
-
0.04
0.6
Asymmetry parameter
-
0.5
0.85
Angstrom exponent
-
0.1
2
Single Scattering Albedo
-
0.8
1
Surface elevation
km
0
2.5
Solar Zenith Angle
deg
0
70
Relative Zenith Angle
deg
0
180
创建时间:
2023-12-24



