I would like to do some sensitivity analyses of CLM5 biogeochemistry. My experiment design is to run CLM5 biogeochemistry component only
at the flux-site level with landuse change, crop/irrigation (agriculture), fire components turned off. Here is the detail experiment design:
1. Perform the simulations with "I1850CLM50BGC" compset (stub ICE, SOCN, SROF, SGLC, and SWAV) in accelerated decomposition (AD) spin-up mode
followed by regular spin-up mode with aerosol, n deposition, and CO2 set as 1850 values to ensure the equilibrium has been reached.
I will cycle the 20-year GSWP3 forcing from 1901-1920 during both spin-up mode runs.
2. Once the equilibrium has been reached, perform the transient run with "IHISTCLM50BGC" compset (stub ICE, SOCN, SROF, SGLC, and SWAV)
with transient time series of aerosol, n deposition and CO2, and forcing from 1901-2014.
Here are my questions:
1. I saw different studies have used different lengths of AD and regular spin-up to ensure the equilibrium. Since it is not feasible to check the equilibrium at each fluxnet site (we have more than 80 sites to evaluate), what would be the recommended lengths for AD and regular spin-up, respectively?
2. Is this a suitable experiment design? Or I should use one compset (eg. I2000CLM50BGC) for both AD/regular spin-up and transient runs but only change the
aerosol/n deposition/CO2 values correspondingly for each run? Also, there are two surface datasets to choose as follows and I am not sure which one should be used for IHISTCLM5BGC if we go for the 1)+2) experiment design.
surfdata_360x720cru_hist_16pfts_Irrig_CMIP6_simyr1850_cXXXXX.nc
surfdata_360x720cru_hist_16pfts_Irrig_CMIP6_simyr2000_cXXXXX.nc
Both are generated using "mksurfdata.pl" tool
3. Although I want to turn landuse change, irrigation/crop, fire off by not specifying the required components, the corresponding "lnd_in" file still specifies
irrigation (true) as well as the data for population density (related to fire), urban, and light frequency (related to fire). I am wondering if these data are simply placeholders and actually will not affect the biogeochemistry calculation?
Thanks,
Xiang
at the flux-site level with landuse change, crop/irrigation (agriculture), fire components turned off. Here is the detail experiment design:
1. Perform the simulations with "I1850CLM50BGC" compset (stub ICE, SOCN, SROF, SGLC, and SWAV) in accelerated decomposition (AD) spin-up mode
followed by regular spin-up mode with aerosol, n deposition, and CO2 set as 1850 values to ensure the equilibrium has been reached.
I will cycle the 20-year GSWP3 forcing from 1901-1920 during both spin-up mode runs.
2. Once the equilibrium has been reached, perform the transient run with "IHISTCLM50BGC" compset (stub ICE, SOCN, SROF, SGLC, and SWAV)
with transient time series of aerosol, n deposition and CO2, and forcing from 1901-2014.
Here are my questions:
1. I saw different studies have used different lengths of AD and regular spin-up to ensure the equilibrium. Since it is not feasible to check the equilibrium at each fluxnet site (we have more than 80 sites to evaluate), what would be the recommended lengths for AD and regular spin-up, respectively?
2. Is this a suitable experiment design? Or I should use one compset (eg. I2000CLM50BGC) for both AD/regular spin-up and transient runs but only change the
aerosol/n deposition/CO2 values correspondingly for each run? Also, there are two surface datasets to choose as follows and I am not sure which one should be used for IHISTCLM5BGC if we go for the 1)+2) experiment design.
surfdata_360x720cru_hist_16pfts_Irrig_CMIP6_simyr1850_cXXXXX.nc
surfdata_360x720cru_hist_16pfts_Irrig_CMIP6_simyr2000_cXXXXX.nc
Both are generated using "mksurfdata.pl" tool
3. Although I want to turn landuse change, irrigation/crop, fire off by not specifying the required components, the corresponding "lnd_in" file still specifies
irrigation (true) as well as the data for population density (related to fire), urban, and light frequency (related to fire). I am wondering if these data are simply placeholders and actually will not affect the biogeochemistry calculation?
Thanks,
Xiang