data: Indices QBO QBO

served from IRI/LDEO Climate Data Library

Indices QBO QBO_realtime: Quasi-Biennial Oscillation data

Indices QBO Quasi-Biennial Oscillation: Calculated at PSL (from the zonal average of the 30mb zonal wind at the equator as computed from the NCEP/NCAR Reanalysis)..

Documents

ftp url

https://psl.noaa.gov/data/correlation/qbo.data

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1948) to (Mar 2024) by 1.0 N= 915 pts :grid

Other Info

CE: 30
colorscalename: std_anomaly_colors
CS: -30
datatype: realarraytype
file_missing_value: -999.0
institution: Physical Sciences Laboratory | NOAA
maxncolor: 254
missing_value: NaN
pointwidth: 0
title: Quasi-Biennial Oscillation
units: ms^-1
standard units*: 1000 second^-1
history: Climate Indices: Monthly Atmospheric and Ocean Time-Series
colorscale

Last updated: Mon, 06 May 2024 04:30:03 GMT
Expires: Thu, 06 Jun 2024 00:00:00 GMT

Data Views

	T
SOURCES
Indices[Tahiti QBO Darwin monthly nino nao daily soi HANSEN india standardized PDO CPC_Indices Easter ]
Indices india[rainfall ]
Indices QBO QBO_realtime[ \| T]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along T
Differentiate along T
Take differences along T