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Google Earth engine - 1980 present global pressure, temperature, wind and other data sets

2022-07-25 01:04:00 【Hua Weiyun】

M2T1NXSLV（ or tavg1_2d_slv_Nx） It is the review, analysis, research and application version of the modern era 2 (MERRA-2) Time averaged two-dimensional data collection per hour . This set includes commonly used vertical and horizontal meteorological diagnostics , for example 2 rice （ or 10 rice 、850hPa、500hPa、250hPa） The temperature of the city 、50 rice （ or 2 rice 、10- rice 、850 hPa、500hPa、250 hPa)、 Sea level pressure 、 Surface pressure and total precipitable water vapor （ Or ice water 、 Liquid water ）. Data fields are used from 00:30 UTC Timestamp the central time of the first hour , for example ：00:30、01:30、...、23:30 UTC.

MERRA-2 yes NASA Global modeling and assimilation Office (GMAO) Using the Goddard earth observation system model (GEOS) edition 5.12.4 The latest version of global atmospheric reanalysis in the satellite era . This data set covers 1980 Years to date , The delay is about one month later 3 Zhou .

Dataset availability

1980-01-01T00:00:00Z–2022-04-30T23:00:00

Data set provider

NASA /MERRA

Earth engine fragment

ee.ImageCollection("NASA/GSFC/MERRA/slv/2")

Band

The resolution of the
69375 rice

Y The resolution of the
55000 rice

Band

full name	Company	describe
`CLDPRS`	Mr	Cloud top pressure
`CLDTMP`	ķ	Cloud top temperature
`DISPH`	rice	Zero plane displacement height
`H1000`	rice	1000 mb The height at the time
`H250`	rice	250 hPa The height at the time
`H500`	rice	500 hPa The height at the time
`H850`	rice	850 hPa The height at the time
`OMEGA500`	Mr / second	500 hPa Omega in time
`PBLTOP`	Mr	Top pressure
`PS`	Mr	Surface pressure
`Q250`	kg / kg	250 hPa Specific humidity at
`Q500`	kg / kg	500 hPa Specific humidity at
`Q850`	kg / kg	850 hPa Specific humidity at
`QV10M`	kg / kg	10 Specific humidity of rice
`QV2M`	kg / kg	2 Specific humidity of rice
`SLP`	Mr	Sea level pressure
`T10M`	ķ	10 Meter temperature
`T250`	ķ	250 hPa Air temperature at
`T2MDEW`	ķ	2 m Dew point temperature at
`T2MWET`	ķ	2 m Wet bulb temperature at
`T2M`	ķ	2 Meter temperature
`T500`	ķ	500 hPa Air temperature at
`T850`	ķ	Air temperature 850 hPa
`TO3`	Dobson	Total column ozone
`TOX`	kg /（ rice ^2）	Total column oxygen
`TQI`	kg /（ rice ^2）	It can always precipitate ice water
`TQL`	kg /（ rice ^2）	Total precipitable liquid water
`TQV`	kg /（ rice ^2）	Total precipitable water vapor
`TROPPB`	Mr	Tropopause pressure based on mixed estimation (TROPP)
`TROPPT`	Mr	Tropopause pressure based on thermal estimation
`TROPPV`	Mr	be based on epv Estimated tropopause pressure
`TROPQ`	kg / kg	Use the entropy of mixing (TROPPB) Estimated tropopause specific humidity
`TROPT`	ķ	Use mix tropp Estimated tropopause temperature
`TS`	ķ	Surface skin temperature
`U10M`	miss	10 Mi Dongfeng
`U250`	miss	dongfeng 250 hPa
`U2M`	miss	2 Mi Dongfeng
`U500`	miss	dongfeng 500 hPa
`U50M`	miss	dongfeng 50 rice
`U850`	miss	850 hPa The east wind of
`V10M`	miss	10 North wind
`V250`	miss	north wind 250 hPa
`V2M`	miss	2 North wind
`V500`	miss	north wind 500 hPa
`V50M`	miss	north wind 50 rice
`V850`	miss	850 hPa The north wind
`ZLCL`	rice	Increase the condensation level

Code ：

var dataset = ee.ImageCollection('NASA/GSFC/MERRA/slv/2')                  .filter(ee.Filter.date('2022-02-01', '2022-02-02'));var surface_pressure = dataset.select('PS');var surface_pressure_vis = {  min: 81100,  max: 117000,  palette: ['001137', '01abab', 'e7eb05', '620500']};Map.setCenter(-95.62, 39.91, 2);Map.addLayer(surface_pressure, surface_pressure_vis);