Data for Validation and Sensitivity Analysis of a 1-D Lake Model across Global Lakes

This dataset includes the calibration and sensitivity test results of 58 lakes globally using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.

Bibliographic Details
Main Authors: Guo, Mingyang, Zhuang, Qianlai, Yao, Huaxia, Golub, Malgorzata, Leung, L., Tan, Zeli
Format: Dataset
Language:English
Published: Purdue University Research Repository 2020
Subjects:
Arctic
Arctic Lake
Online Access:https://dx.doi.org/10.4231/npyj-ge58
https://purr.purdue.edu/publications/3529/1
Description
Summary:This dataset includes the calibration and sensitivity test results of 58 lakes globally using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.

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