Google Earth engine - merra-2 m2t1nxlv: 1980 present global pressure, temperature, wind and other data sets

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);

result ：

 

Terms of use

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