Global high-resolution simulated near sea surface temperature precipitation SST dataset (1990-2020)

Global high-resolution simulated near sea surface temperature precipitation SST dataset (1990-2020)


The global high-resolution simulated near sea surface temperature precipitation SST data set from 1990 to 2020 is from the latest cmip6 project. Cmip6 is the sixth climate model comparison program organized by the world climate research project (WCRP). Original data source: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 。 The data set includes the global near ocean surface temperature (TMP), precipitation (PR) and sea surface temperature (TOS). The air temperature and precipitation data include the rectangular combination of shared social economic path (SSP) and representative concentration path (RCP) of four different experimental scenarios of scenario MIP in cmip6. (1) Ssp126: upgrade rcp2.6 scenario based on ssp1 (low forcing scenario) (radiation forcing will reach 2.6w/m2 in 2100). (2) Ssp245: upgrade rcp4.5 scenario based on SSP2 (moderate forcing scenario) (radiation forcing will reach 4.5 w / m2 in 2100). (3) Ssp370: a new rcp7.0 emission path based on ssp3 (medium forcing scenario) (radiation forcing will reach 7.0 w / m2 in 2100). (4) Ssp585: upgrade rcp8.5 scenario based on ssp5 (high forcing scenario) (ssp585 is the only SSP scenario that can make radiation forcing reach 8.5 w / m2 in 2100). SST data provides ssp126 scenario data.


File naming and required software

1. Data size: 45 g
2. Data format: netcdf4
3. Folder structure
(1) Precipitation pr
./pr
./ssp126
./ pr_ Amon_ BCC-CSM2-MR_ ssp126_ r1i1p1f1_ 0.5deg_ gn_ 199001-202012.nc
(2) Temperature TMP
./tmp
./ssp126
./ tmp_ Amon_ BCC-CSM2-MR_ ssp126_ r1i1p1f1_ 0.5deg_ gn_ 199001-202012.nc
(3) SST TOS
/tos
./tos_ Omon_ BCC-CSM2-MR_ r1i1p1f1_ gn_ 199001-202012.nc
Naming rules:
<variable_ name>/
<temporal resolution>/
<model_ name>/
<ssp>/
<member_ id>/
<spatial resolution>/
<grid_ label>/
<time_ range>/
<variable_ Name > / refers to the name of the variable, PR refers to precipitation, TMP refers to temperature, and TOS refers to SST.
<temporary resolution>/ refers to the time resolution, and amon and OMON both represent the monthly scale.
<model_ Name > / indicates which mode it belongs to, bcc-csm2-mr.
<ssp>/ represents the greenhouse gas emission scenario.
<member_ ID > / are some control indicators of the operation mode. member_ Id = r<k>i<l>p<m>f<n>, where k=realization_ index; l=initialization_ index; m=physics_ index; n=forcing_ index
<spatial_ Resolution > / indicates spatial resolution.
<grid_ Label> indicates the type of grid for the output data.
<time_ Range> indicates the data time range.


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Cite as:

Ye, A. (2022). Global high-resolution simulated near sea surface temperature precipitation SST dataset (1990-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272738. CSTR: 18406.11.Atmos.tpdc.272738. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


References literature

1.Eyring, V., Bony, S., Meehl, G.A., Senior, C.A., Stevens, B., Stouffer, R.J., & Taylor, K.E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937-1958, doi:10.5194/gmd-9-1937-2016. (View Details )


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19070104) [XDA19070104]

Copyright & License

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 180.00 West: -180.00
South: 90.00 North: 90.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 0.5º - 1º
  • File size: 46,080 MB
  • Views: 2520
  • Downloads: 99
  • Access: Open Access
  • Temporal coverage: 1990-01-01 To 2020-12-31
  • Updated time: 2022-09-04
Contacts
: YE Aizhong  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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