Comparison of the Two Most Common Phenology Algorithms Imbedded in Land Surface Models-Reference-Cited by-同舟云学术

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Comparison of the Two Most Common Phenology Algorithms Imbedded in Land Surface Models

Published:2022-11-08 Issue:21 Volume:127 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:JGR Atmospheres

Author:

Chen Baozhang¹²³^ORCID

Affiliation:

1. School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and Technology Nanjing China

2. State Key Laboratory of Resources and Environment Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

3. University of Chinese Academy of Sciences Beijing China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JD037167

Reference74 articles.

1. Process-based models outcompete correlative models in projecting spring phenology of trees in a future warmer climate

2. Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production

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1. Phenology of Photosynthesis in Winter‐Dormant Temperate and Boreal Forests: Long‐Term Observations From Flux Towers and Quantitative Evaluation of Phenology Models;Journal of Geophysical Research: Biogeosciences;2024-04-27

2. Microclimate Indices in Plant Phenology: A Novel Methodology;2024

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