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nitrogen deposition files from the SSP scenarios have a noticeable "jump" from the historical period at 2015 #968
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@olyson can you take a look at this and let us know if you see the same thing? Is there something different about how 2015 is handled in the ndep script? |
I believe, but am not 100% positive, that the projection period N-dep comes
from just one ensemble member whereas the historical N-dep is an average
of three ensemble members. That could explain the jump. If I am right,
not sure how to resolve this.
…On Fri, Apr 3, 2020 at 3:03 PM Erik Kluzek ***@***.***> wrote:
@olyson <https://github.com/olyson> can you take a look at this and let
us know if you see the same thing? Is there something different about how
2015 is handled in the ndep script?
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Doing an ncdump -h on the file indicates that @dlawrenncar is correct:
|
The suggestion I had for @timhoar was to cycle over the 2015 data for his "present-day" cases. I assume there must not be three ensemble members for the SSP cases then right? Or have they been run since this file was created? |
The SSP5-8.5 file metadata has the comment:
@olyson and I discussed different options of creating this dataset from the single WACCM SSP run. In the end, we decided to live with a jump going from historical to SSP. |
While I was formulating a response, comments rolled in, all of which are correct. |
How long do you need to continue these runs, Tim? If it's just for a few
years what do we do in the TRENDY simulations that now go through 2018?
I'm assuming this just sets NDEP to cycle. If you need to go much longer
then 2020, however, the trends in SSPs may be worth considering?
…On Fri, Apr 3, 2020 at 3:36 PM Keith Lindsay ***@***.***> wrote:
The SSP5-8.5 file metadata has the comment:
2014 data is from year 2014 of WACCM ensemble member #1 historical simulation (b.e21.BWHIST.f09_g17.CMIP6-historical-WACCM.001), 2015, 2016, 2017 are the 2015-2019 average, 2098 and 2099 are interpolated between the 2095-2099 average and 2100, and 2100 and 2101 are the same as 2100
@olyson <https://github.com/olyson> and I discussed different options of
creating this dataset from the single WACCM SSP run. In the end, we decided
to live with a jump going from historical to SSP.
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Will Wieder
Project Scientist
CGD, NCAR
303-497-1352
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For what it's worth, I needed a similar dataset for forcing OMIP runs for 2015-2018. I did what @ekluzek suggests, cycle the last year of the historical forcing for the last few years. |
OK, it sounds like this an issue that was looked at and decided there wasn't a way around it. So I'll close it in a bit. But, I'll leave it around a bit for discussion. Feel free to add to the discussion even after I've closed it. |
Thanks to all! Will - I will only need to run through the end of 2019.
Sorry to be so ignorant, but can you point me to where TRENDY lives?
I'm being asked to verify a setup before we spend a zillion core-hours, and
this is a bit out of my area of expertise.
Tim Hoar
Data Assimilation Research Section
National Center for Atmospheric Research
thoar@ucar.edu
303.497.1708
…On Fri, Apr 3, 2020 at 3:43 PM will wieder ***@***.***> wrote:
How long do you need to continue these runs, Tim? If it's just for a few
years what do we do in the TRENDY simulations that now go through 2018?
I'm assuming this just sets NDEP to cycle. If you need to go much longer
then 2020, however, the trends in SSPs may be worth considering?
On Fri, Apr 3, 2020 at 3:36 PM Keith Lindsay ***@***.***>
wrote:
> The SSP5-8.5 file metadata has the comment:
>
> 2014 data is from year 2014 of WACCM ensemble member #1 historical
simulation (b.e21.BWHIST.f09_g17.CMIP6-historical-WACCM.001), 2015, 2016,
2017 are the 2015-2019 average, 2098 and 2099 are interpolated between the
2095-2099 average and 2100, and 2100 and 2101 are the same as 2100
>
> @olyson <https://github.com/olyson> and I discussed different options of
> creating this dataset from the single WACCM SSP run. In the end, we
decided
> to live with a jump going from historical to SSP.
>
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> You are receiving this because you are subscribed to this thread.
> Reply to this email directly, view it on GitHub
> <#968 (comment)>, or
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>
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Will Wieder
Project Scientist
CGD, NCAR
303-497-1352
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@timhoar @danicalombardozzi ran the TRENDY simulations for this year. I looked up her cases and see the ndep file for that simulation here: /glade/p/cgd/tss/people/dll/TRENDY2019_Forcing/Ndep/TRENDY2019_Ndep_Monthly_c190821.nc From looking at the meta-data on it, I don't see any new data post 2015. So it seems unlikely to help. |
@ekluzek The 2019 TRENDY N dep file goes through 2099. I had to create this from the data that the TRENDY project provided, which was from CESM1 simulations. @timhoar Given that these are derived from an older version of CESM, I'm not sure it's what you want to use. The file that I created for the TRENDY simulations is here: /glade/p/cgd/tss/people/dll/TRENDY2019_Forcing/Ndep/TRENDY2019_Ndep_Monthly_c190821.nc |
Thanks Danica - I'll give it a look.
Tim Hoar
Data Assimilation Research Section
National Center for Atmospheric Research
thoar@ucar.edu
303.497.1708
…On Wed, Apr 8, 2020 at 3:19 PM Danica Lombardozzi ***@***.***> wrote:
@ekluzek <https://github.com/ekluzek> The 2019 TRENDY N dep file goes
through 2099. I had to create this from the data that the TRENDY project
provided, which was from CESM1 simulations. @timhoar
<https://github.com/timhoar> Given that these are derived from an older
version of CESM, I'm not sure it's what you want to use. The file that I
created for the TRENDY simulations is here:
/glade/p/cgd/tss/people/dll/TRENDY2019_Forcing/Ndep/TRENDY2019_Ndep_Monthly_c190821.nc
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I need to continue an existing run from 2014 to the present day and was exploring which of the scenarios might be the most appropriate. I decided to first look at the (unweighted) global mean timeseries for each variable from each SSP scenario that matched my resolution. I looked for SSPs in /glade/p/cesmdata/cseg/inputdata/lnd/clm2/ndepdata and used SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 and compared them to fndep_clm_hist_b.e21.BWHIST.f09_g17.CMIP6-historical-WACCM.ensmean_1849-2015_monthly_0.9x1.25_c180926.nc.
Everything overlaps nicely until 2015 and then there seems to be no scenario that continues along without a bias or discontinuity. I understand that the scenarios are intended to be different, but I'm really looking for a smooth transition into a 'business as usual' scenario consistent with the data up to 2015.
clm_ndep_timeseries.pdf
Each figure has a title with the 'experiment name', variable, variable size, and variable long name. The files used for each label are under each figure, the units for each variable/file are along the y axis.
I've also put the population density plots on this graphic - they are a good example of what I hope the transition to the new SSPs should be.
The existing case is a
HIST_CAM60_CLM50%BGC-CROP_CICE%PRES_DOCN%DOM_MOSART_SGLC_SWAV
compset running at 1 degree with a 0.25degree SST from Reynolds.
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