Atmospheric circulation data set of sensitivity test simulation output under different geographical patterns of 60Ma and 25Ma

Atmospheric circulation data set of sensitivity test simulation output under different geographical patterns of 60Ma and 25Ma


Numerical experiments: The climate model used is the fast air sea coupling model (FAMOUS) jointly developed by the British Meteorological Office and British universities The horizontal resolution of the atmospheric model in the FAMOUS model is 5 ° × 7.5 °, 11 layers in vertical direction; The horizontal resolution of the ocean model is 2.5 ° × 3.75 °, 20 layers in vertical direction The atmosphere and ocean are coupled once a day without flux adjustment

The tests included the Middle Paleocene (MP,~60Ma BP, test name flat_60ma_1xCO2_sea_3d_ * * 100yr_mean. nc) and the Late Oligocene (LO,~25Ma BP, test name orog_25ma_1xCO2_sea_3d_ * * 100yr_mean. nc) The sea land distribution data is mainly taken from the global coastline basic data set (abbreviated as Gplates, website: http://www.gplates.org/ )Considering that the initial uplift of Cenozoic terrains such as the Qinghai Tibet Plateau started at about 50~55 Ma (Searle et al., 1987), the global terrain height was set to 0 in the MP test to omit the role of plateau terrain. At 25 Ma, Greenland (Zachos et al., 2001) and the Qinghai Tibet Plateau (for example, Wang et al., 2014; Ding et al., 2014; Rowley and Currie, 2006; DeCells et al., 2007; Polisar et al., 2009) were revised The change of ancient latitude is also considered when reconstructing the ancient topography of the Qinghai Tibet Plateau (Besse et al., 1984; Chatterjee et al., 2013; Wei et al., 2013) At the same time, referring to the change of Cenozoic atmospheric CO2 (Beerling and Royer, 2011), the atmospheric CO2 concentration in the two periods of experiments was 280 ppmv (1 ppmv=1 mg L – 1) before the industrial revolution For simplicity, all land vegetation and soil properties are set to globally uniform values, that is, various land surface properties on each land grid point except Antarctica are assigned to the global average value of non glacial land surface before the industrial revolution, which is also convenient for highlighting the impact of land sea distribution and topographic changes In addition, since we mainly discuss the average climate state and its change in the characteristic geological period on the scale of millions of years, we can omit the influence of orbital forcing, that is, the Earth's orbital parameters are set to their modern values in all experiments

Output time: All tests were integrated for 1000 years, using the average results of the last 100 years of each test.

This data is helpful to explore the formation and evolution mechanism of the Cenozoic monsoon and drought.


File naming and required software

File name rules:
25Ma test name (e.g. orog_25ma_1xCO2_sea_3d)+variable name (e.g. ua)+time (100yr_mean)
60Ma test name (such as flat_60ma_1xCO2_sea_3d)+variable name (such as ua)+time (100yr_mean);
Data variable name: Omega (vertical velocity); ua(eastward_wind);; va(northward_wind); rh(relative_humidity); qa(specific_humidity)etc
Usage: software that can read NC files, such as Panoply, NCEdit, etc.
Sea2d
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
Vertical resolution is 1 layer
100 year average
Sea2d-evap-xipab-100yr-mean.nc
100 year average evaporation (kg/m2/s)
Sea2d-lh-xipab-100yr-mean.nc
100 year average surface heat flux (W/m2)
Sea2d-pme-xipab-100yr-mean.nc
100 year average total precipitation rate (kg/m2/s)
Sea2d-pr-xipab-100yr-mean.nc
100 year average precipitation rate (kg/m2/s)
Sea2d-psl-xipab-100yr-mean.nc
100 year mean sea level pressure
Sea2d-surlw-xipab-100yr-mean.nc
Downward surface radiation flux
Sea2d-sursw-xipab-100yr-mean.nc
Downward surface radiation flux
Sea2d-tas-xipab-100yr-mean.nc
1.5 m temperature
Sea2d-ts-xipab-100yr-mean.nc
surface temperature
Sea3d
Spatial resolution (x * y) 96 * 73,3.75 * 2.5
Time resolution: 3 months
The vertical resolution is 20 layers
Sea3d-ta-xipab-100yr-mean.nc
Temperature (on the standard air pressure layer)
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
The vertical resolution is 15 layers
Sea3d-qa -100yr-mean.nc
Specific humidity (on the standard air pressure layer)
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
The vertical resolution is 15 layers
Sea3d-rh -100yr-mean.nc
Relative humidity (on the standard air pressure layer)
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
The vertical resolution is 15 layers
Sea3d-ua-xipab-100yr-mean.nc
U Wind field (on the standard pressure layer)
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
The vertical resolution is 15 layers
Sea3d-va-xipab-100yr-mean.nc
V Wind field (on the standard pressure layer)
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
The vertical resolution is 15 layers
Sea3d-omega-100yr-mean.nc
Omega vertical wind field (on the standard atmospheric pressure layer)
Spatial resolution (x * y) 48 * 37, 7.5 * 5
Time resolution: 3 months
Vertical resolution is 1 layer
The precipitation in winter is 90 * 24 * 60 * 60=7776000
The precipitation in summer is 91 * 24 * 60 * 60=7,862,400


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Cite as:

Liu, X. (2022). Atmospheric circulation data set of sensitivity test simulation output under different geographical patterns of 60Ma and 25Ma. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Paleoenv.tpdc.272904. CSTR: 18406.11.Paleoenv.tpdc.272904. (Download the reference: RIS | Bibtex )

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Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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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: 0.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100km - 1000km
  • File size: 4 MB
  • Views: 2200
  • Downloads: 128
  • Access: Open Access
  • Temporal coverage: 65 million years
  • Updated time: 2022-11-07
Contacts
: LIU Xiaodong   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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