AM2.1 experiments by wenchang
AM2.1
AMIP experiment driven by historical radiative forcings as well as SST and sea ice. Historical radiative forcings use CMIP5 values except that volcanic aerosol radiative forcings are from CMIP6. Historical SST is bias corrected as in Chan et al.
## TC statistical-dynamical model input variables from GCM
* monthly mean sea surface temperature (SST) and sea level pressure (SLP);
* monthly mean air temperature (ta) and specific humidity (qa);
* daily mean winds at 250 and 850 hPa (u850, u250, v850, v250).
Sep 20, 2022
Dear Wenchang: Here is what I need, on a global lat-long grid:
Daily mean winds at 250 and 850 hPa
Monthly mean SST and sea surface pressure
Monthly mean atmospheric temperature and specific humidity at all model levels (pressure levels) up to at least 90 hPa.
If you have it, I could also use ocean potential temperature down to at least 200 m. I expect if you are talking about AGCM, you do not have it, which is fine.
Many thanks, Kerry
## bias correction
* The bias is based on the comparison of AM2.1 to ERA5 climatologies over the 20-year period of 1980-1999.
* For monthly data (SST, SLP, ta and qa), I just compare the monthly climatology.
* For daily data (u850, u250, v850, v250), I compare the 31-day running daily climatology.
Sep 29, 2023
Hi Kerry,
I just realized that both the links are pointing to ensemble 04. The ensemble 05 link is actually http://tigress-web.princeton.edu/~wenchang/pub/MODEL_OUT/AM2.1/amipLMR2019SST0850_ens_tigercpu_intelmpi_18_30PE/en05/analysis_wy/TCmodelInput/. Sorry about this mistake.
Now I have also finished the climatology bias corrected data for ensemble 01. The bias is based on the comparison to ERA5 data over the 20-year period of 1980-1999. For monthly data, I just compare the monthly climatology. For daily data, I compare the 31-day running daily climatology. The data are available at: http://tigress-web.princeton.edu/~wenchang/pub/MODEL_OUT/AM2.1/amipLMR2019SST0850_ens_tigercpu_intelmpi_18_30PE/en01/analysis_wy/TCmodelInput_biasCorrection/. Let me know if the link works.
Best,
Wenchang
* monthly mean sea surface temperature (SST) and sea level pressure (SLP);
* monthly mean air temperature (ta) and specific humidity (qa);
* daily mean winds at 250 and 850 hPa (u850, u250, v850, v250).
Sep 20, 2022
Dear Wenchang: Here is what I need, on a global lat-long grid:
Daily mean winds at 250 and 850 hPa
Monthly mean SST and sea surface pressure
Monthly mean atmospheric temperature and specific humidity at all model levels (pressure levels) up to at least 90 hPa.
If you have it, I could also use ocean potential temperature down to at least 200 m. I expect if you are talking about AGCM, you do not have it, which is fine.
Many thanks, Kerry
## bias correction
* The bias is based on the comparison of AM2.1 to ERA5 climatologies over the 20-year period of 1980-1999.
* For monthly data (SST, SLP, ta and qa), I just compare the monthly climatology.
* For daily data (u850, u250, v850, v250), I compare the 31-day running daily climatology.
Sep 29, 2023
Hi Kerry,
I just realized that both the links are pointing to ensemble 04. The ensemble 05 link is actually http://tigress-web.princeton.edu/~wenchang/pub/MODEL_OUT/AM2.1/amipLMR2019SST0850_ens_tigercpu_intelmpi_18_30PE/en05/analysis_wy/TCmodelInput/. Sorry about this mistake.
Now I have also finished the climatology bias corrected data for ensemble 01. The bias is based on the comparison to ERA5 data over the 20-year period of 1980-1999. For monthly data, I just compare the monthly climatology. For daily data, I compare the 31-day running daily climatology. The data are available at: http://tigress-web.princeton.edu/~wenchang/pub/MODEL_OUT/AM2.1/amipLMR2019SST0850_ens_tigercpu_intelmpi_18_30PE/en01/analysis_wy/TCmodelInput_biasCorrection/. Let me know if the link works.
Best,
Wenchang
CO2 is instantaneously doubled from the control experiment CTL1990_2xCO2_tigercpu_intelmpi_18_30PE while other radiative forcings and SSTs keep the same.
MMXXIV