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IPSL-CM5A2 configuration
Table of contents
Person in charge: Arnaud Caubel
1. IPSL-CM5A2 model
IPSL-CM5A2 is an the IPSL coupled climate model including atmosphere, land, ocean, sea ice and carbon cycle. The goal of this model is to reproduce IPSLCM5A-LR version, with reduced computing times to allow running long simulations (i.e thousands of years) within reasonnable time. Main caracteritics of this model are ORCA2-LIM2-PISCES x LMD 96x95x39, old LMDZ physics, ORCHIDEE with Choisnel hydrology (2 layers). This model uses recent versions of each components as well as technical developments (hybrid parallelisation MPI-OpenMP, XIOS 2.0 as input-output library, OASIS3-MCT parallel coupler) that allow to reach 55 simulated years per day on about 300 Curie computing cores. This model is available on Ada (IDRIS) and Curie (TGCC) supercomputers and benefits from last developments of libIGCM runnnin enviornment. bénéficie des derniers développements de l'environnement de production libIGCM.
IPSL-CM5A2 model includes :
- model components :
- LMDZ as atmospheric model ;
- NEMO as ocean model including sea ice (LIM2) and marine biogeochemistry (PISCES) ;
- ORCHIDEE as land model ;
- tools :
- OASIS3-MCT as parallel coupler ;
- XIOS as I/O library ;
- libIGCM as running environment (scripts) to run the model and to perform post processing ;
2. Resolutions and configurations
IPSL-CM5A2 model is available at following resolutions/configurations :
- IPSL-CM5A2 : LMDZ(Old Physics) 96x95x39-ORCHIDEE(Choisnel) - NEMO-LIM2-PISCES ORCA2
The resolution of LMDZ is 96x95 (3.75° in longitude and 1.875° in latitude) with 39 vertical levels. The ocean configuration is ORCA2 : global ocean with a tripolar grid with one South Pole, one North Pole above Siberia and one North Pole above northern America. The resolution is 2°. In the tropical region, the latitudinal resolution decreases to 1/2°. There are 31 vertical levels.
IPSL-CM5A2 is composed of following components and tools :
#-H- IPSLCM5A2 IPSLCM5A2 coupled configuration #-H- IPSLCM5A2 1st frozen IPSLCM5A2 version #-H- IPSLCM5A2 NEMOGCM branch nemo_v3_6_STABLE revision 6665 #-H- IPSLCM5A2 XIOS2 trunk revision 858 #-H- IPSLCM5A2 IOIPSL/src svn tags/v2_2_2 #-H- IPSLCM5A2 LMDZ5 trunk rev 2595 #-H- IPSLCM5A2 ORCHIDEE version trunk rev 3525 #-H- IPSLCM5A2 OASIS3-MCT 2.0_branch rev 1129 #-H- IPSLCM5A2 IPSLCM5A2 svn #-H- IPSLCM5A2 libIGCM trunk rev 1330 #-M- IPSLCM5A2 arnaud.caubel@lsce.ipsl.fr #-C- IPSLCM5A2 IOIPSL/tags/v2_2_2/src HEAD 8 IOIPSL/src modeles #-C- IPSLCM5A2 trunk/ORCHIDEE 3525 14 ORCHIDEE modeles #-C- IPSLCM5A2 branches/OASIS3-MCT_2.0_branch/oasis3-mct 1129 15 oasis3-mct . #-C- IPSLCM5A2 LMDZ5/branches/testing 2595 11 LMDZ modeles #-C- IPSLCM5A2 CONFIG/UNIFORM/v6/IPSLCM5A2 HEAD 8 IPSLCM5A2 config #-C- IPSLCM5A2 trunk/libIGCM 1330 10 libIGCM . #-C- IPSLCM5A2 branches/2015/nemo_v3_6_STABLE/NEMOGCM 6665 7 . modeles #-C- IPSLCM5A2 XIOS/trunk 858 12 XIOS modeles
2.0.1. How to use it
Here are the commands you need to know if you want to retrieve and compile the IPSL-CM5A2 model and if you want to setup and run a piControl experiment (pdControl is also available):
mkdir YOUR_DIRECTORY ; cd YOUR_DIRECTORY svn_ano # svn co http://forge.ipsl.jussieu.fr/igcmg/svn/modipsl/trunk modipsl cd modipsl/util ./model IPSLCMA2 cd ../config/IPSLCMA2 gmake # by default ORCA2xLMD9695-L39 cp EXPERIMENTS/IPSLCM5/EXP00/config.card . vi config.card # modify JobName (at least) : MYJOBNAME, restarts ../../util/ins_job # Check and complete job's header cd MYJOBNAME vi Job_MYJOBNAME # modify PeriodNb, adjust the time, headers ... llsubmit Job_MYJOBNAME # IDRIS ccc_msub Job_MYJOBNAME # TGCC
2.0.2. Restart files
IPSLCM6 configuration could restart from any IPSLCM5A, IPSLCM5_v5 and IPSLCM6 restart files. Default configuration starts from IPSLCM5A piControl2pm01 simulation (2349-12-31).
2.0.3. Output level
By default, only monthly outputs and low output levels are activated.
2.0.4. Lengths, frequencies
2.0.4.1. Period length
Default period length is 1Y, i.e in config.card :
PeriodLength=1Y
Note that clean_PeriodLenght.job will remove last period files, i.e last simulated year files.
2.0.4.2. Pack Frequency
Default pack frequency is 10Y, i.e in config.card :
PackFrequency=10Y
Note that since clean_latestPackperiod.job works on the latest pack period, clean_latestPackperiod.job will remove files from latest 10Y pack period. clean_latestPackperiod.job can also be used several time in a row to delete several 10Y pack periods.
2.0.4.3. Rebuild frequency
Since we run with XIOS (server mode) as output library, the rebuild step is not needed anymore.
2.0.5. Computing centres
2.0.5.1. TGCC Bull Curie thin nodes
Default configuration on 160 cores allows you to run 38 simulated years per day. Because of load-balancing (difference between ocean computing time and atmosphere computing time), not all configurations (in terms of number of process/threads) are efficient. If you want to run a configuration with less cores, ask Arnaud Caubel what would be the optimum configuration. The configuration is regularly used and evaluated on this machine: http://webservices.ipsl.jussieu.fr/trusting/
2.0.5.2. IDRIS IBM Ada
Configuration on 56 cores allows you to run 16 simulated years per day. This configuration is regularly used and evaluated on this machine: http://webservices.ipsl.jussieu.fr/trusting/
2.0.6. Evaluation
Person in charge: Jérôme Servonnat
2.0.6.1. Results comparison between TGCC Curie and IDRIS Ada supercomputers
Simulations with default configuration have been performed both on Curie and Ada :
- CTLCM6G on Curie : http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM6/PROD/piControl/CTLCM6G/MONITORING/index.html
- CM6VLR1 on Ada : https://prodn.idris.fr/thredds/fileServer/ipsl_public/rces061/IPSLCM6/PROD/piControl/CM6VLR1/MONITORING/index.html
Inter-monitoring comparison : http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/INTERMONITORING/intermonit_comp_ada_curie_rc0/index.html
2.0.6.2. Results comparison between IPSLCM5 and IPSLCM6 simulations
Here are simulations performed to validate IPSLCM6-VLR_rc0 configuration :
- CTLCM6G (default configuration IPSLCM6-VLR_rc0) : IPSLCM6-VLR_rc0 model (CM6 water routing scheme, pmagic=-0.01, start from 2349-12-31 piControl2pm01)
- Output and Analyse files : /ccc/store/cont003/dsm/p86caub/IGCM_OUT/IPSLCM6/PROD/piControl/CTLCM6G
- CTLCM6F : IPSLCM6-VLR_rc0 model(CM5 water routing scheme, start from 2499-12-31 piControl2)
- Output and Analyse files : /ccc/store/cont003/dsm/p86caub/IGCM_OUT/IPSLCM6/PROD/piControl/CTLCM6F
- CTLCM6H : IPSLCM6-VLR_rc0 model (CM6 water routing scheme, pmagic=-0.01, without NEMO TKE IPSLCM5 parameters, start from 3199-12-31 CTLCM6G)
- Output and Analyse files : /ccc/store/cont003/dsm/p86caub/IGCM_OUT/IPSLCM6/PROD/piControl/CTLCM6H
Warning : CTLCM6G, CTLCM6F, CTCCM6H have problems on atmospheric variable on level pressure (problem fixed in reference IPSLCM6-VLR_rc0 version).
These simulations have been compared with IPSLCM5 simulations results :
- piControl2 : IPSLCM5A reference simulation
- CTLCM5V5v5 : IPSLCM5_v5 configuration(aerosols v5)
- piControl2pm01 : IPSLCM5A reference simulation with pmagic=-0.01.
Following validation aspects are available :
- Inter-monitoring comparison : http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/INTERMONITORING/intermonit_valid_CM6A_VLR_rc0/index.html
- Metric table
Root-Mean-Square Error calculated on the seasonal cycle over the globe (land + ocean) against two different references for each variable. This metric synthesizes the bias (difference in mean), the spatio-temporal correlation and standard-deviation ratio. The results are presented in % of the mean RMSE of piControl2 => a result of -10% indicates that the RMSE is 10% lower than the average RMSE of the reference simulation (here, five seasonal cycles of piControl2) ; the blue color shows the RMSE that are lower (in better agreement with the reference dataset) than the reference simulation. Inversely, the red color indicates a degradation compared with the reference simulation. For each simulation, the RMSE are shown for several seasonal cycles to illustrate the interannual/decadal variability of the results. For further illustration of the differences between IPSL-CM5A-LR and CM6A-VLR_rc0 with new water routing scheme and p_magic = -0.01, please refer to the following atlases:
- IPSL-CM5A-LR: http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM5A/DEVT/piControl/CTLCM5V5v5/ATLAS/SE_2500_2539/ATM/ATM.html
- IPSL-CM6A-VLR_rc0: http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM6/PROD/piControl/CTLCM6G/ATLAS/SE_3250_3299/ATM/ATM.html
The table shows that :
- CTLCM5V5v5 has similar results as piControl2 (less than 5%) ; this suggests that CM6A-VLR_rc0 (with same water routing scheme and same p_magic as CM5A-LR) simulates a climate that is very similar to IPSL-CM5A-LR
- Same for CTLCM6F
- CTLCM6G and CTLCM6H (IPSLCM6A-VLR_rc0 with new water routing scheme and p_magic = -0.01) and piControl2pm01 (p_magic = -0.01) show a reduction of the error on the 2m-temperature (tas) of around 15%, very likely associated with the adjustment of albedo (p_magic = -0.01)
- For those simulations, we also note a degradation of the LW up (rlut and rlutcs) between 5 and 10% (greater than the variability among the seasonal cycles of piControl2); this is confirmed by the bias maps of CTLCM6G (http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM6/PROD/piControl/CTLCM6G/ATLAS/SE_3250_3299/ATM/lw_116852/lw.pdf) compared with CTLCM5V5v5 (http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM5A/DEVT/piControl/CTLCM5V5v5/ATLAS/SE_2500_2539/ATM/lw_26556/lw.pdf) ; this change mainly concerns the tropics; in the same time, the metric table shows that the SW gets significantly better (around 5%)
- For CTLCM6G and CTLCM6H, we also see a slight degradation of the zonal wind at 10m (uas), of the same order as the LW ; looking at the RMSE tables for the different seasons and regions, we can see that this degradation mainly concerns the tropics (-20/20°N) and the extra-tropical southern hemisphere. On the bias maps (compare http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM5A/DEVT/piControl/CTLCM5V5v5/ATLAS/SE_2500_2539/ATM/vitu_44109/vitu.gif with http://esgf.extra.cea.fr/thredds/fileServer/work/p86caub/IPSLCM6/PROD/piControl/CTLCM6G/ATLAS/SE_3250_3299/ATM/vitu_60643/vitu.gif) we see that the zonal wind biases are the same but slightly reinforced in CTLCM6G.
- For the other variables, the results do not show significant differences between piControl2 and IPSLCM6A-VLR_rc0 (with the new water routing scheme and p_magic = -0.01, simulations CTLCM6G and CTLCM6H)
Conclusion of the metric table:
- the evaluation metrics of the seasonal cycle of IPSLCM6A-VLR_rc0 with the water routing scheme of CM5A and the same p_magic are similar to the ones obtained for piControl2. This suggests that the model is the same.
- the new water routing scheme and the tuned p_magic produce a climate that is in better agreement for IPSLCM6A-CLR_rc0 compared with IPSLCM5A-LR for tas and the SW; we note a degradation of the LW and the zonal winds (stronger biases, rather than a degradation of the spatial structure) ; with the new water routing scheme and p_magic = -0.01, we can say that IPSLCM6A-VLR_rc0 is not the same as CM5A-LR.
Attachments (6)
- IPSLCM6.png (108.2 KB) - added by aclsce 8 years ago.
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CRE_3sim+data.png
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CRF3sim
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Evo_t2m_preind02.png
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tun02
- Tuning_CM5A2.pdf (855.4 KB) - added by aclsce 8 years ago.
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Tuning_CM5A2.2.pdf
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CM5A2.1_note_25_01_2017
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Note_CM5A2.1_27_01_17.pdf
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added by pir 7 years ago.
CM5A2.1_note_25_01_2017