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data:reanalysis_data_draft

One important step in Numerical Weather/Climate Prediction is the combination of the model first guess with observations in a process called data assimilation. This important information is used both as the initial condition for the next forecast as well as to study weather and climate. However, as stated by NCEP scientists “ …These analyses are very inhomogeneous in time as there have been big improvements in the data assimilation systems. This played havoc with climate monitoring as these improvements were often produced changes in the apparent “climate”….” (Please, see next subsection for detailed information). The way found to improve this problem was to make analysis for the past years with a frozen global analysis system and use all available observations as some of them could not be assimilated in time on the daily operational forecasting ([#NCEP-NCAR Kalnay et al., 1996]). This process is called reanalysis, or reconstructions.

In the table below, are listed all the different datasets present in esnas. If nothing is specified after the dataset, it is because it has not been formatted (yet) but you can ask the person who first downloaded the data (see BSC contact point column).

InstituteDatasetFrequency[_mean]VariableReferenceBSC contact point
aoriishii-kimotomonthly_meanto
ecmwfera406hourlyhus850
q850
tas
ua500
va500
w500
z200
z500
z850
daily_meancp
lsp
q850
ua1000
ua700
va500
z200
z850
hus850
psl
tas
ua500
va1000
w500
z500
monthly_meancp
g200
g500
hflsd
hfssd
prlr
prsn
psl
rls
rsds
rss
ta50
tas
tos
uas
vas
era40-erainterimmonthly_meanhflsd
hfsd
hfssd
mnablau
munablat
psl
rls
rls_rss
rss
tas
totflux
uas
vas
eraclim6hourlytas
uas
vas
erainterim3hourlytauu
tauv
6hourlyg200
g50
g500
hus55ml
hus56ml
hus57ml
hus58ml
hus59ml
hus60ml
hus850
prlr
ps
psl
q850
sfcWind
ssrd
strd
ta500
ta55ml
ta56ml
ta57ml
ta58ml
ta59ml
ta60ml
tas
tasmax
tasmin
tos
ua200
ua225
ua250
ua300
ua350
ua400
ua450
ua500
ua550
ua55ml
ua56ml
ua57ml
ua58ml
ua59ml
ua600
ua60ml
uas
va200
va500
va55ml
va56ml
va57ml
va58ml
va59ml
va60ml
vas
w500
Windagl100
Windagl120
Windagl150
Windagl50
Windagl80
z200
z850
monthly_meang200
g500
g50
hflsd
hfls
hfssd
hfss
hus1000
mrso
prlr
prsn
ps
psl
rls
rsds
rss
sfcWind
ta100
ta500
ta50
ta850
ta
tas
tasmax
tasmin
tauu
tauv
tos
ua200
ua500
ua55ml
ua850
ua925
uas
va200
va500
va55ml
va850
va925
vas
erainterim-loresmonthly_meang200
g500
hflsd
hfssd
prlr
prsn
psl
rls
rsds
rss
ta50
tas
tos
uas
vas
erainterim-loresmonthly_meang200
g500
hflsd
hfssd
prlr
prsn
psl
rls
rsds
rss
ta50
tas
tos
uas
vas
eraland6hourlymrso
mrso1
mrso12
mrso13
mrso2
mrso3
mrso4
monthly_mean mrso
orap5 daily_mean sic
sohtc300
somxl010
sos
thetao
tos
monthly_meansic
sit
so
sohtc300
somxl010
ssh
thetao
tos
transx
transy
uo
vo
tropflux daily_mean hfls
hfss
rls
rss
monthly_meanhfls
hfss
rls
rss
jmajra556hourlypsl
sfcWind
tas
uas
va600
va700
va850
vas
z500
daily_meanpsl
sfcWind
tas
z500
monthly_meang200
g500
hur
hus
prlr
prw
psl
relv
sfcWind
sic
ta
tas
tos
ua
uas
va
vas
vpot
vpot200
z500
mercatorcopernicus012daily_meansic
sit
so
strairx
strairy
thetao
uo
vo
zos
monthly_meansic
sit
so
strairx
strairy
thetao
uo
vo
zos
glorys2_v1monthly_meanheatc
sections
sos
tos
glorys2_v3 - - - Eleftheria
nasamerra6hourlytas100
tas
daily_meansfcWind
monthly_meansfcWind
ta100
ua200
ua850
va200
va850
merra2hourlyua10m
ua50m
va10m
va50m
ncepds083.2 - - web Jordi Cuadrado
gfs - - web Jordi Cuadrado
gefs cycle 00, 06, 12, 18UTC control + members web Jordi Cuadrado
sst - - web Jordi Cuadrado
noaa20thcr_v2daily_meantas
uas
vas
monthly_meanprlr
psl
ta100
tas
ua200
ua850
va200
va850
ncep-reanalysismonthly_meanhflsd
hfssd
prlr
psl
rls
rsds
rss
ta100
tas
uas
vas
oi_v2monthly_meansic web
tos
pscpiomasmonthly_meanice
sivn
uclseaice-lim2monthly_meanice
whoioafluxdaily_meanhfls
hfss
ssr
str
monthly_mean hflsd
hfssd
zmawgecco_v2monthly_meansit

Details about the datasets (to be merged)

data/reanalysis_data_draft.txt · Last modified: 2016/08/11 17:38 by jginer