nao index data

During particularly prolonged periods dominated by one particular phase of the NAO, abnormal height and temperature patterns are also often seen extending well into central Russia and north-central Siberia. Accessed DD Month YYYY [list date you accessed the data].Hurrell, James & National Center for Atmospheric Research Staff (Eds). Notes: As is the nature of PC-based indices, every time additional data is used to compute the EOF the individual PC values will likely change.

NAO Index Data provided by the Climate Analysis Section, NCAR, Boulder, USA, Hurrell (2003). Accessed DD Month YYYY [list date you accessed the data]NAO Index Data provided by the Climate Analysis Section, NCAR, Boulder, USA, Hurrell (2003). The daily NAO index for the past 120 days. Accessed DD Month YYYY [list date you accessed the data]. References: When using the NAO data, cite "Updated from Jones et al." Contact Adam Phillips (asphilli (AT) ucar.edu) and/or Jim Hurrell (jhurrell (AT) ucar.edu).Winter index of the NAO based on the difference of normalized sea level pressures (SLP) between Lisbon, Portugal and Stykkisholmur/Reykjavik, Iceland since 1864. Both phases of the NAO are associated with basin-wide changes in the intensity and location of the North Atlantic jet stream and storm track, and in large-scale modulations of the normal patterns of zonal and meridional heat and moisture transport, which in turn results in changes in temperature and precipitation patterns often extending from eastern North America to western and central Europe.Strong positive phases of the NAO tend to be associated with above-normal temperatures in the eastern United States and across northern Europe and below-normal temperatures in Greenland and oftentimes across southern Europe and the Middle East. The NAO calculated from Gibraltar and SW Iceland is also given (Jones et al., 1997). Lisbon minus Stykkisholmur Normalized December-March Average SLP Anomalies. Updated regularly. Moreover, individual station pressures are significantly affected by small-scale and transient meteorological phenomena not related to the NAO and, thus, contain noise.An advantage of the PC time series approach is that such indices are more optimal representations of the full NAO spatial pattern; yet, as they are based on gridded SLP data, they can only be computed for parts of the 20th century, depending on the data source.For a more detailed discussion of issues related to the NAO indices and related indices such as the Northern Annular Mode (NAM) and Arctic Oscillation (AO), see Hurrell and Deser (2009) and Hurrell et. JISAO data. Each daily value has been standardized by the standard deviation of the monthly NAO index from 1950 to 2000 interpolated to the day in question. The winter (December thru March) station-based index of the NAO is based on the difference of normalized sea level pressure (SLP) between Lisbon, Portugal and Stykkisholmur/Reykjavik, Iceland since 1864. Most modern NAO indices are derived either from the simple difference in surface pressure anomalies between various northern and southern locations, or from the PC time series of the leading (usually regional) EOF of sea level pressure (SLP).

The negative phase reflects an opposite pattern of height and pressure anomalies over these regions. The SLP anomalies at each station were normalized relative to the 120-year period 1864--1983. Positive values of the NAO index are typically associated with stronger-than-average westerlies over the middle latitudes, more intense weather systems over the North Atlantic and wetter/milder weather over western Europe. The NAO exhibits considerable interseasonal and interannual variability, and prolonged periods (several months) of both positive and negative phases of the pattern are common.The NAO index is obtained by projecting the NAO loading pattern to the daily anomaly 500 millibar height field over 0-90°N. A major advantage of most of these indices is their extension back to the mid-19th century or earlier.A disadvantage of station-based indices is that they are fixed in space. Both the long-term means and standard deviations are based on the period 1864-1983. PostScript | JPEG This index was provided by Jim Hurrell ( jhurrell@ra.cgd.ucar.EDU), and is an update of the time series published in Hurrell (1995). The North Atlantic Oscillation (NAO) index is based on the surface sea-level pressure difference between the Subtropical (Azores) High and the Subpolar Low. Here we give data for SW Iceland (Reykjavik), Gibraltar and Ponta Delgada (Azores). To allow this timeseries to be updated, we use the nearest NCEP/NCAR Reanalysis grid point as a substitute. They are currently offered as ascii text files for winter, monthly, seasonal, and annual values.Observational data is subject to corrections after it has been published and used in our indices.

Updated regularly.

The calculated timeseries use Ponta Delgada observational data from Jan. 1865 - May 2003, June 2008- Jan 2010, and Mar 2010-Mar 2013,  and NCEP/NCAR Reanalysis point data from June 2003-May 2008 and for Feb 2010. The NAO index is obtained by projecting the NAO loading pattern to the daily anomaly 500 … (Missing Value = -999.) al (2003), linked in Key Publications 2 and 3 below.The station-based NAO indices produced by NCAR's Climate Analysis Section are based on Hurrell (1995). Updated regularly. Updated regularly.

This was supplemented by a version stored with 3 decimal places in 2017. )The SLP values at each station were normalized by removing the long-term mean and by dividing by the long-term standard deviation. Updated regularly. Last modified 24 Apr 2020.

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