Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4)

Haynes, K. D.; Baker, I. T.; Denning, A. S.; Stöckli, R.; Schaefer, K.; Lokupitiya, E. Y.; Haynes, J. M.

doi:10.1029/2018ms001540

i

Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4)

Supporting Files

2019
By Haynes, K. D. ; Baker, I. T. ; Denning, A. S. ; ...

Details

Journal Title:

Journal of Advances in Modeling Earth Systems
Personal Author:

Haynes, K. D. ; Baker, I. T. ; Denning, A. S. ; Stöckli, R. ; Schaefer, K. ; Lokupitiya, E. Y. ; Haynes, J. M.
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRA (Cooperative Institute for Research in the Atmosphere) ; NCEI (National Centers for Environmental Information)
Keywords:

Environmental Chemistry General Earth And Planetary Sciences Global And Planetary Change General Earth And Planetary Sciences Global And Planetary Change General Earth And Planetary Sciences Global And Planetary Change
Source:

Journal of Advances in Modeling Earth Systems, 11(12), 4423-4439
DOI:

https://doi.org/10.1029/2018ms001540
ISSN:

1942-2466 ; 1942-2466
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:685c787dcb1e08fed9fa7a1915be99acdd30af42675a5806b3230c215e860ec9
Download URL:

https://repository.library.noaa.gov/view/noaa/53389/noaa_53389_DS1.pdf
File Type:

[PDF - 2.49 MB ]

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