Replication Data for: A machine learning-guided and accurate algorithm to halve the computational cost of atmospheric chemistry in Earth System models

Name: Replication Data for: A machine learning-guided and accurate algorithm to halve the computational cost of atmospheric chemistry in Earth System models
Creator: Harvard University
Published: 2020-01-01T00:00:00+08:00

Harvard Dataverse2020-09-16 更新2026-04-09 收录

大气化学模拟

GPU加速算法

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/KASQOC 数据链接链接失效反馈

官方服务：

资源简介：

This is the replication data for our recent work, titled "A machine learning-guided and accurate algorithm to halve the computational cost of atmospheric chemistry in Earth System models". For more details, please contact lshen@fas.harvard.edu

提供机构：

Harvard University

创建时间：

2020-01-01