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Kumarathunge et al 2019 photosynthetic temperature acclimation #984
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…2019 parameterization
Brief update: I ran the code with and without the code from this PR active, in SP mode for 15 years to see what the first-order effects of this on the global runs would be. Attached a few figures showing the GPP change for the last ten years of the run. Looks like it acts to increase GPP everywhere, with the relative change larger for cold than warm ecosystems. |
Ohh, neat! Thanks for doing this Charlie!
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From: Charlie Koven ***@***.***>
Sent: Thursday, February 9, 2023 8:49:41 PM
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Subject: Re: [NGEET/fates] Kumarathunge et al 2019 photosynthetic temperature acclimation (PR #984)
Brief update: I ran the code with and without the code from this PR active, in SP mode for 15 years to see what the first-order effects of this on the global runs would be. Attached a few figures showing the GPP change for the last ten years of the run. Looks like it acts to increase GPP everywhere, with the relative change larger for cold than warm ecosystems.
[image]<https://user-images.githubusercontent.com/10852790/218002718-439f9a0a-ba49-450b-9214-3df8848a1916.png>
[image]<https://user-images.githubusercontent.com/10852790/218002791-837656db-6f08-46fb-8bde-f4e6b60b8eb5.png>
[image]<https://user-images.githubusercontent.com/10852790/218002816-b1b1bd59-2c7c-402c-8730-cd2b9dd1e302.png>
[image]<https://user-images.githubusercontent.com/10852790/218002831-e4f7c8c9-aa57-454b-94f7-91f4f8e46214.png>
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Great to see this make it into FATES thanks for sharing Charlie |
This commit also removes a redundant long name
Regression testing on cheyenne is complete. All expected tests returned B4B against Cheyenne folder: |
I ran the fates suite with Cheyenne folder: |
This PR adds the Kumarathunge et al 2019 parameterization for photosynthetic temperature acclimation.
Description:
This uses both a short-term and a long-term running mean temperature to allow Vcmax and Max to acclimate to local temperature conditions.
Manuscript describing the model is https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.15668
Collaborators:
@czarakas wrote the initial version of this a while ago, in discussion with @Qianyuxuan. All I did was merge it up to a recent FATES main and integrate @rgknox's running-mean methods from #724, which are also used in #931, into it. Further discussion with @aswann @alistairrogers @walkeranthonyp @serbinsh @rosiealice @rgknox @jenniferholm @glemieux and probably others.
Expectation of Answer Changes:
Currently the code is default-off, but if turned on, then will be answer-changing. The switch to activate it is to set
fates_leaf_photo_tempsens_model
in the parameter file to a value of 2 (default is 1 currently).Checklist:
Test Results:
Not yet tested.
CTSM (or) E3SM (specify which) test hash-tag:
CTSM (or) E3SM (specify which) baseline hash-tag:
FATES baseline hash-tag:
Test Output: