Atmospheric Circulation Reconstructions  over the Earth
Reanalysis Visualisation
“Seeing” large data sets Reanalyses   Systems   generate   huge   amounts   of   data   that   cannot   be   absorbed   by   the   human   mind without   further   refinement   and   interpretation.      One   tool   that   helps   to   make   the   data   more   accessible, understandable    and    usable    is    data    “visualisation”.        Users    generate    a    query    describing    the    data elements   they   want   displayed,   the   time   period   they   want   covered   and   the   visual   elements   they   want used   (eg.   colour,   image   size,   etc.).      A   graphic   is   then   presented,   giving   the   user      a   clear   visual representation   of   otherwise   complex   data.      The   graphic   can   be   a   still   image   or   an   animation,   for instance:
“Data visualisation makes complex data more accessible, understandable and usable” (Wikipedia)
Atmospheric Precipitable Water March 1993Climate Forecast System v2National Climate Data Centre
Tropopause 1000mb Zonal Wind (m/s) composite mean From 20CR Reanalysis system
Air temperature (degK) composite winds October 1899 to Oct 1900
The Weather of October 1918 (20CR system)
 NASA has plotted GEOS5 aerosols:
A time series visualisation of weather observation data contained in the International Surface Pressure Databank
Movements of the 250 ships whose logbooks were digitised by the oldWeather project (1914-1923)
A visualisation of the impact that observations contributed by ACRE partners had on the 20CR reconstruction of the weather of 1916.  It shows: earlier contributions made by ACRE partners and those more recently made. The “fog of ignorance” showing global regions where the reconstructions are still very uncertain because there are too few observations. The “glow of discovery” showing regions where the new observations have produced a large improvement in the confidence of the reconstructions.
NCAR has plotted an East Asia coastal cyclone
Visualisation show what parts of the earth over time are covered by the observations contributed by ACRE partners and what parts are not
Geophysical models use visualisations derived from recent atmospheric data