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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Responses of Surface Evaporative Fluxes in Montane Cloud Forests to the Climate Change Scenario

Research datakeyboard_double_arrow_right Dataset 09 Jun 2022Publisher:Zenodo
Authors: Yang, Tzu-Ying; Lo, Min-Hui;

doi: 10.5281/zenodo.6685764 , 10.5281/zenodo.5770337

Responses of Surface Evaporative Fluxes in Montane Cloud Forests to the Climate Change Scenario

Abstract

CL_surfobs_raw.mat and LHC_nodew_new_raw.mat are the analyzed CLM simulation output with atmospheric observations in Chi-Lan and Lien-Hua-Chih as input forcings. CLatm_LHC_prec*.mat are the analyzed CLM simulation output in sensitivity tests for the rainfall pattern. CL_*_transform_raw.mat are the analyzed CLM simulation output in CTL simulation and climate change sensitivity tests. Fig_*.m are matlab code files to reproduce figures in the article. Fig_11_ttest.m and Fig_11_LE_p_value.mat are the t-test for the decrease of latent heat flux in the diurnal cycle under climate change scenario and the resulting p-value. Fig_quantile.m and Fig_4_6_7_8_9_10_11_quantile.mat are to obtain first and third quantile of the changes of canopy water and surface heat fluxes in the diurnal cycle under climate change scenarios.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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