Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions

Bibliographic Details
Main Author: Sun, Bin
Format: Dataset
Language:unknown
Published: Mendeley 2020
Subjects:
Benchmarking User Experience
Arctic
Online Access:https://dx.doi.org/10.17632/sfy7wt9wz7.1
https://data.mendeley.com/datasets/sfy7wt9wz7/1
id ftdatacite:10.17632/sfy7wt9wz7.1
record_format openpolar
spelling ftdatacite:10.17632/sfy7wt9wz7.1 2023-05-15T14:47:14+02:00 Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions Sun, Bin 2020 https://dx.doi.org/10.17632/sfy7wt9wz7.1 https://data.mendeley.com/datasets/sfy7wt9wz7/1 unknown Mendeley https://dx.doi.org/10.1016/j.jqsrt.2019.106690 https://dx.doi.org/10.17632/sfy7wt9wz7 Public Domain Dedication (Embargo: 2020-05-19) info:eu-repo/semantics/embargoedAccess http://creativecommons.org/publicdomain/zero/1.0 CC0 Benchmarking User Experience dataset Dataset 2020 ftdatacite https://doi.org/10.17632/sfy7wt9wz7.1 https://doi.org/10.1016/j.jqsrt.2019.106690 https://doi.org/10.17632/sfy7wt9wz7 2021-11-05T12:55:41Z Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Benchmarking User Experience
spellingShingle Benchmarking User Experience
Sun, Bin
Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions
topic_facet Benchmarking User Experience
format Dataset
author Sun, Bin
author_facet Sun, Bin
author_sort Sun, Bin
title Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions
title_short Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions
title_full Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions
title_fullStr Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions
title_full_unstemmed Data for: A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions
title_sort data for: a biased sampling approach to accelerate backward monte carlo atmospheric radiative transfer simulations and its application to arctic heterogeneous cloud and surface conditions
publisher Mendeley
publishDate 2020
url https://dx.doi.org/10.17632/sfy7wt9wz7.1
https://data.mendeley.com/datasets/sfy7wt9wz7/1
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.1016/j.jqsrt.2019.106690
https://dx.doi.org/10.17632/sfy7wt9wz7
op_rights Public Domain Dedication (Embargo: 2020-05-19)
info:eu-repo/semantics/embargoedAccess
http://creativecommons.org/publicdomain/zero/1.0
op_rightsnorm CC0
op_doi https://doi.org/10.17632/sfy7wt9wz7.1
https://doi.org/10.1016/j.jqsrt.2019.106690
https://doi.org/10.17632/sfy7wt9wz7
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