NOTES FROM THE TWELFTH FORMAL COORDINATED ENERGY AND WATER-CYCLE
OBSERVATIONS PROJECT (CEOP) TELECONFERENCE ON MODEL OUTPUT DATA ISSUES HELD
ON
13 APRIL 2010
Final Draft, 19 June 2010
1.
INTRODUCTION
The Twelfth Coordinated Energy and Water-Cycle Observations Project (CEOP) Model Output
Teleconference took place on Tuesday 13 April 2010 at 13:00 UTC.
The issues that were brought up and discussed on the subject conference call included:
(i)
Outcomes of the GEWEX SSG Meeting in India, January 2010
(ii)
The Pan-GEWEX Meeting and The 4th CEOP Annual Meeting in Seattle, August 2010
(iii) Model output format conversion task
(iv) Data integration services status
(v)
Model groups activities status
(vi) Center status reports
Participants
The participants were:
Toshio Koike (CEOP Co-Chair, Tokyo, Japan
Frank Toussaint (MPI, Hamburg, Germany)
Burkhardt Rockel (ICTS, Geesthacht, Germany)
Michael Ek (NCEP, Maryland, USA)
Mike Bosilovich/ (GMAO, Greenbelt, Maryland, USA)
Sid Katz (NCEP, Maryland, USA)
David Mocko (GMAO, Greenbelt, Maryland, USA)
Yoshiyuki Kudo (JAXA, Tokyo, Japan)
Hiroko Kato Beaudoing (GLDAS, Maryland, USA)
Lawrie Rikus (BoM, Melbourne, Australia)
Tomas Kral (ECMWF, Reading, UK)
Alessandro Perotto (EMC, Milan Italy)
Paul Earnshaw (UKMO, Exeter, UK)
Sam Benedict (CEOP International Coordination Function)
Petra Koudelova (CEOP International Coordination Function)
Dennis Lettenmaier (CEOP Co-Chair, USA), Peter van Oevelen (Washington DC, USA, GEWEX Office),
Steve Williams (Data Management, Boulder, Colorado, USA), Joerg Wegner /Hans Luthardt (MPI, Hamburg,
Germany), Dirceu Luis Herdies (CPTEC, Cachoeira Paulista, Brazil), , Stephane Belair (MSC, Dorval,
Canada), Hideaki Kawai (JMA, Tokyo, Japan), Satoko Miura (JAXA, Tokyo, Japan) and Yonsook Enloe
(NASA, North Carolina) had advised that they could not participate.
2.
NEXT CONFERENCE CALL
The next, 13th CEOP Model Output Teleconference is scheduled on Tuesday 13 July 2010, 13:00
UTC. Benedict/Koudelova have the action (A1) to inform the group of the details of the next call nearer to
the time of the call and to coordinate the origination of the call.
3.
MODEL OUTPUT DATA GROUP GENERAL ISSUES
3.1 Opening
(3.1a) Benedict welcomed everyone on the call and introduced Dr. Tomas Kral, the new representative of
ECMWF who took over this role after Dr. Martin Koehler had moved to another institution. Participants
welcomed Dr. Kral on the group and appreciated his involvement in the CEOP activities.
3.2 WCRP and GEWEX related issues
(3.2a) Koike reported on the GEWEX SSG meeting in New Delhi, India in January and advised the
group that Dr. Kevin Trenberth had been appointed new Chair of the SSG. He voiced that the SSG very
well acknowledged the CEOP data component, including model output as well as reference site and
satellite observations. The SSG members recognized the value that the long-term high quality CEOP data
products has for the science and thus continuation of this CEOP activity was considered as highly desirable.
He reiterated that at the 3rd Annual CEOP Meeting in Melbourne in August 2009, CEOP took commitment of
developing 10-year dataset that is especially needed for climate projection studies focusing on climate
model uncertainties as well as for intensive integrated studies in regions that involve RHPs and isotope and
modeling groups. The CEOP 10-year dataset should include in-situ as well as satellite data and added will
be data from other projects like the FLUXNET and IGBP iLEAPS data. The goal for this year is to prepare
the 10-year dataset for 10 sites selected among CEOP and FLUXNET sites. In this respect, Koike advised
the group that a request had been sent to the FLUXNET community to nominate suitable sites.
(3.2b) The group was advised the 4th CEOP Annual Meeting would be held as part of the 2nd PanGEWEX meeting that will take place in Seattle, USA, 23 – 27 August 2010. The CEOP sessions will
include one full-day CEOP session on Tuesday 24 August, one evening session on Thursday 26 August
and one morning session on Friday 27 August. In addition, one day for panel interaction science sessions
(RHP science interactions) and one day for science interactions with other WCRP programs (crosscutting
issues; hot topics such as polar climate, ocean fluxes/acidification, etc.) are scheduled on Wednesday 25
August and Thursday 26 August, respectively. Further information including logistics details can be found at
the meeting website at: http://www.gewex.org/2010pangewex/home.html. The participants on the call were
encouraged to consider their participation in this event.
(3.2c) Koike also mentioned that at the WCRP Observation and Assimilation Panel (WOAP) meeting in
Hamburg it was endorsed to expand the WTF-CEOP data integration activity for linking to other WCRP
components like IGBP and others.
3.3 JAXA CEOS/WGISS Test Facilities (WTF) for CEOP
(3.3a) Kudo reiterated that the JAXA WTF for CEOP team has been allocated a budget for expansion of
their Distributed Data Integration system’s capabilities and inclusion of the CEOP Phase 2 data. The task
should be completed by the end of 2010.
To accomplish this upgrade of the system, the team plans firstly to develop a suitable design of the
new features. For that purpose, a special teleconference was held in February that included
representatives of the WTF-CEOP JAXA team and individual data centers, namely MPI/DKRZ, NCAR/EOL,
and UT. The technical aspects of the data archives organization and connection between the WTF-CEOP
JAXA system and the centers were discussed and resolved to the extent required by the JAXA team for
initiating further development of their system. Kudo reported that the development work was progressing as
planned and possible issues were being communicated with individual data centers.
(3.3b) A question was raised at the last call whether it would be possible for the WTF-CEOP system to
access gridded output databases of individual NWP centers since it would make the data accessible
through the system without transferring them to the MPI/DKRZ database. In response to this question it was
emphasized that the basic strategy of CEOP was to deliver all the data to the designated data archives
that would take responsibility for appropriate data organization, management and dissemination. In addition
keeping the data in the archives of individual Centers would mean that the JAXA team would have to
establish individual connection protocols with all the Centers and reflect possible specifics of individual
Center data formats as well as any possible changes to their archives. Therefore it has been decided that
the WTF CEOP system will be accessing only the MPI/DKRZ database for the Model output data.
(3.3c) Kudo further voiced that, during this reporting period, the system hardware had continued to run
smoothly at: http://ceop.restec.or.jp/ and 150 users were registered. He added that unfortunately, most of
the MOLTS data from the CEOP Phase 1 period that had been included on the system were not available
anymore because of technical issues at the MPI/DKRZ archive. Toussaint explained that one table of their
database containing the CEOP MOLTS data in the form accessible for the WTF CEOP system had crashed
down. The data is still available in the native format via ftp download from the MPI/DKRZ archive.
3.4 MPI/DKRZ Current Status
(3.4a) As mentioned above, Toussaint advised the group that due to a technical issue, certain MOLTS
data had accidentally been lost from the Oracle database where the data were accessible for the WTF
CEOP system. Since re-inserting these data back to the database would require significant amount of
manual work, the MPI team has decided NOT to perform this but rather to focus on the CEOP Phase 2 data
that are now being submitted in the agreed to CF compliant NetCDF format and that will be accessible for
the WTF CEOP system via an OPeNDAP server. In addition, Toussaint recommended that the Phase 1
MOLTS data be eventually converted into the same NetCDF format and uploaded at the OPeNDAP server
too. Data organized in this more homogenous manner will be of much higher value for various data
analyses, e.g. data intercomparison studies. It was agreed that currently, all the parties would focus on the
Phase 2 data and the re-formatting and reorganization of the Phase 1 data would be discussed at following
conference calls.
(3.4b) Toussaint further mentioned that Phase 2 MOLTS data were regularly being submitted by JMA
and their team was working on uploading them on the said OPeNDAP server to make them available for the
WTF CEOP system. This task should be finished in the near future. In addition, NCEP has submitted some
Phase 2 data and further dataset are expected soon. In this context, Katz inquired about more effective way
of transferring voluminous gridded output data than FTP. Toussaint voiced that whatever way that is
convenient for NCEP is acceptable for MPI/DKRZ including various media with the data being shipped to
MPI/DKRZ.
3.5 CEOP Model Output format issues
(3.5a) Rockel reported that regarding the Unified table of the MOLTS variables they had received
responses from 5 Centers including NCEP, JMA, GLDAS, EMC, and ECMWF. The updated table was
circulated prior to the call and is copied below in Attachment 1. The analysis has shown that 130 quantities
out of the 240 on the original list are being provided by at least one of the centers and thus the list was
trimmed to include these 130 variables. Also naming convention for CMIP5 has been included in the table in
order to show the relation between the individual Centers and CMIP5 output.
Katz raised question whether it would not be better to trim the list even more as many of the
variables are provided by only a single centre and thus are unique to that particular centre and may not be
of high value for model output analyses, in particular intercomparisons. Nevertheless, since the MOLTS
datasets are not very large, including all the 130 variables does not increase computational costs or
necessary workload and thus it was decided to maintain the suggested 130 variables for the CEOP MOLTS
data.
Katz also mentioned that the new NCEP output includes a number of very unique variables for
which CF standard names do not exist. Rockel emphasized that for registering CF standard names, it is
necessary to apply to the CF community or leave the box for standard name blank and use only the Long
name attribute that can be proposed/decided by data provider (if it does not exist yet). CF conventions can
be found at the website: http://cf-pcmdi.llnl.gov/.
Rockel took action (A2) to convert the updated table from the Excel to html format and publish it
on the ICTS website and provide it to Williams for including it on the CEOP Data Management website. At
the same time, all the Center representatives, who had not done it yet, were asked to fill out this table
(action A2a).
(3.5b) In addition, it was stressed out again that it would be highly desirable to update model output
documentation. The center representatives were asked to review the documentation currently in the
database associated with their Center’s data and update it as soon as practical (action A2b).
3.6 CEOP Global Model Study (http://gmao.gsfc.nasa.gov/research/modeling/validation/ceop.php)
Bosilovich reiterated that the new, 2.0 version of the dataset had been added to their ftp site
(ftp://agdisc.gsfc.nasa.gov/private/ceop/). It includes ERA Interim, GMAO and JMA reanalyses data and in
addition to the previous version, it provides daily and monthly basin averages including MDB and La Plata
basins. He noted that they were analyzing the GMAO reanalysis data and these indicate certain sensitivity
to the ENSO phenomenon in 2009.
4.
CURRENT STATUS OF NWPCs
4.1 GLDAS by Hiroko Kato
Kato reported that their team was working on new runs of GLDAS and when finished – perhaps in
summer – the current product will be replaced with the new results. After this, the data will be converted to
the agreed to CEOP format and submitted to MPI/DKRZ. Firstly the Phase 1 data will be replaced and then
Phase 2 data submitted.
4.2 BoM by Lawrie Rikus
Rikus reported that their new modeling was running but what data would be provided to CEOP was
subject to further discussion. Rikus will advise the group of further progress on the next call.
4.3 GMAO by Mike Bosilovich
Bosilovich reiterated that the 30 years of the GMAO reanalysis had been completed and was
available on-line through the NASA GES DISC server: http://disc.sci.gsfc.nasa.gov/mdisc/overview/. He
pointed out that they strongly recommend people to use this their sever for downloading the data, as they
are patching certain data files, so that will always have the latest and most up to date version. It may be
possible that copies of the MERRA datasets has been made by certain data centers but these copies are
NOT official MERRA and may not reflect the latest updates.
4.4 NCEP by Sid Katz
Katz reported that they continued generation of the CEOP MOLTS from the operational data and
preparing them for the transfer to MPI/DKRZ. The JMA format conversion subroutine for MOLTS is nearly
completed and will be employed soon and since then, the output will be provided in the required NetCDF
format.
4.5 EMC by Alessandro Perotto
Perotto reiterated that EMC had completed their model system upgrade and test runs were
successful. New hardware is now being tested and approximately after 2 months, the upgraded global
model system will be run in test mode and the operational runs, from which the CEOP data will be
generated, will follow.
4.6 ECMWF by Tomas Kral
Kral reported that the format conversion software had been completed and tested and took action
A3 to send samples of the converted datasets to Toussaint at MPI (toussaint@dkrz.de). He further informed
the group that an issue was found in the model output, namely the multilevel flux fields, that was most
probably caused by a bug in the model. They are investigating the issue and will provide further details by
the time of the next call.
Kral also reiterated that the team was working on an upgrade of their forecasting modeling system
that included higher spatial as well as vertical resolution.
4.7 UKMO by Paul Earnshaw
Earnshaw reported that they had been producing the Phase 2 data and the 2009 datasets, both
MOLTS and gridded had been processed and the format conversion should be done in the near future.
Earnshaw took action A3a to communicate with the MPI/DKRZ the necessary details for the data transfer.
4.8 JMA by Toshio Koike
Koike mentioned that JMA was submitting their output regularly, in the format required by CEOP.
He would meet a representative of JMA later this month and would discuss latest developments at JMA
related to CEOP.
ATTACHMENT 1: Updated Table of CEOP MOLTS unified variable names
Green color means that the particular center provides this variable.
CEOP MOLTS Unified Table 2010/04/12
CEOP
name
TOT_PREC
CMIP5 / AR5
name
pr
hfss
ASHFL_S
rlds
ATHDW_S
T_G
ALHFL_S
ts
hfls
rsds
ASODW_S
PS
T_2M
QV_2M
ps
tas
huss
No of
CF
GCMs
standard_nam
providing
e
the
parameter
(this table)
5 precipitation_flu
x
5 surface_upward
_sensible_heat
_flux
5 surface_downw
elling_longwave
_flux_in_air
5 surface_temper
ature
5 surface_upward
_latent_heat_flu
5 surface_downw
elling_shortwav
e_flux_in_air
5 surface_air_pre
ssure
5 air_temperature
5 specific_humidit
y
4 surface_altitude
4 air_temperature
4 eastward_wind
CF
units
kg m-2 s-1
W m-2
W m-2
K
W m-2
W m-2
Pa
K
kg kg-1
U
orog
ta
ua
U_10M
uas
4 eastward_wind
m s-1
V
va
4 northward_wind
m s-1
V_10M
vas
4 northward_wind
m s-1
hus
cl
4
4
4
ELEV
T
VEG_TYPE
QV
CLC
P
T_SO
AEVAP_S
plev
tsl
4 air_pressure
4
evspsbl
3
rlus
3
ATHUP_S
wap
3
OMEGA
rsus
3
ASOUP_S
3
FR_VEG
lwsnl
3
W_SNOW
GPH
RUNOFF_S
VABS_10M
surface_cover
specific_humidit
y
cloud_area_fra
ction_in_atmos
phere_layer
water_evaporati
on_flux
surface_upwelli
ng_longwave_fl
ux_in_air
lagrangian_tend
ency_of_air_pre
ssure
surface_upwelli
ng_shortwave_f
lux_in_air
vegetation_area
_fraction
lwe_thickness_
of_surface_sno
w_amount
geopotential_he
ight
surface_runoff_
flux
wind_speed
zg
3
mrros
3
sfcWind
rls
3
3 surface_net_do
wnward_longwa
ve_flux
ATHB_S
rss
ASOB_S
3 surface_net_do
wnward_shortw
ave_flux
FR_LAND_SEA_ICE
3
IWV
prw
zmla
DZ_PBL
SNOW_DEPTH
snd
snw
SNOW_S
m
K
m s-1
1
kg kg-1
1
Pa
K
kg m-2 s-1
W m-2
W m-2
amount
total
precipitation
rate
surface
time: mean
sensible heat
flux
surface
time: mean
downward long
wave radiation
surface
temperature
surface latent
time: mean
heat flux
surface
downward
time: mean
shortwave
radiation
surface
pressure
2m temperature
2m specific
humidity
elevation
temperature
U-component
wind
U-comp tenmetre wind
V-component of
wind
10m meridional
wind speed
vegetation type
Specific
humidity
cloud_height:
high, medium
sum (assuming
and low cloud
maximum
cover
random
pressure
soil_depth:
0-10 cm down,
mean
soil
water
time: mean
evaporation flux
time: mean
time: mean
time: mean
m
kg m-2 s-1
time: mean
m s-1
W m-2
time: mean
W m-2
time: mean
kg m-2
m
JMA
NCEP
old
EMC
This
Accum,
element KG m-2
is output
GLDAS ECMWF
past 3hr mean
instanta
neous
past 3hr mean
instanta
neous
This
element
profile,
not
profile,
not
in
separat
profile,
not
profile
profile
This
profile
element each
layer is
in
separat
possibly
added
past 3hr mean
surface upward
long wave flux
W-component
wind
1
m
long name
time: mean
Pa s-1
1
3 atmosphere_wa
ter_vapor_cont
3 atmosphere_bo
undary_layer_th
ickness
3 surface_snow_t
hickness
3 surface_snow_
cell_methods
profile,
not
surface
surface upward
shortwave
radiation
Vegetation
This
Cover
element
no
surface snow
output
amount
(SNOW
geopotential
height
This
surface runoff
element
wind speed
surface net
downward
longwave
radiation
surface net
downward
shortwave
radiation
sea 0 land 1 ice This
discreet
2 fraction
element 0,1 or 2
Total Moisture This
Q
element
Planetary
Boundary Layer
Height
m
snow depth
kg m-2
water
equivalent of
accumulated
instanta
neous,
in
possibly
added
possibly
added
past
3hr mean
past 3hr mean
FR_ICE
RAIN_CON
RAIN_GSP
sic
prcprof
prsprof
SOIL_TYPE
CLCT
clt
ALB
ASOUP_T
rsut
rlut
ATHUP_T
ngwave_flux
Z0
W_SO
PREC_CON
mrlsl
prc
clw
QC
tauu
AUMFL_S
tauv
AVMFL_S
PMSL
RUNOFF
psl
mrro
RUNOFF_G
QI
SNOW_CON
SNOW_GSP
cli
prsnc
prsns
rsdscs
ASODWCS_S
rldscs
ATHDWCS_S
FR_SNOW
3 sea_ice_area_f
raction
3 convective_rain
fall_flux
3 stratiform_rainf
all_flux
3 soil_type
2 cloud_area_fra
ction
2 surface_albedo
2 toa_outgoing_s
hortwave_flux
2 toa_outgoing_lo
snc
RAIN
W_LIQ
rsdt
ASODW_T
clwvi
2 surface_roughn
ess_length
2 moisture_conte
nt_of_soil_layer
2 convective_pre
cipitation_flux
2 mass_fraction_
of_cloud_liquid
_water_in_air
2 surface_downw
ard_eastward_s
tress
2 surface_downw
ard_northward_
stress
2 air_pressure_at
_sea_level
2 runoff_flux
2 subsurface_run
off_flux
2 mass_fraction_
of_cloud_ice_in
2 convective_sno
wfall_flux
2 stratiform_snow
fall_flux
2 surface_downw
elling_shortwav
e_flux_in_air_a
ssuming_clear_
2 surface_downw
elling_longwave
_flux_in_air_as
suming_clear_s
2 surface_snow_
area_fraction
2 rainfall_flux
2 liquid_water_co
ntent_of_soil_la
1 toa_incoming_s
1
IWATER
1
W_I
FR_LAND
REL_HUM
sftlf
1
hur
1
1
AHFLD_S
1
HFLD_S
1
IUQVFL
1
IVQVFL
hurs
1
1
snm
1
POR
RELHUM_2M
SNOW_MELT
SNOW_MELT_SN
tauugwd
AUGRW_S
1
1
hortwave_flux
atmosphere_clo
ud_condensed_
water_content
canopy_water_
amount
land_area_fract
ion
relative_humidit
y
downward_heat
_flux_in_soil
downward_heat
_flux_in_soil
eastward_atmo
sphere_water_v
apor_transport_
across_unit_dis
northward_atm
osphere_water
_vapor_transpo
rt_across_unit_
soil_porosity
relative_humidit
y
surface_snow_
melt_flux
surface_snow_
melt_amount
atmosphere_ea
stward_stress_
due_to_gravity_
wave_drag
1
ice fraction
kg m-2 s-1
time: mean
kg m-2 s-1
time: mean
1
1
1
W m-2
time: mean
W m-2
time: mean
m
kg m-2
kg m-2 s-1
Convective
rainfall rate
large scale
rainfall rate
soil type
total cloud
cover
surface albedo
toa upward
short wave flux
TOA outgoing
longwave
radiation
surface
roughness
time: mean
Pa
time: mean
Pa
time: mean
This
element
Specific liquid This
element
water
is output
(sign is N m-2
eastward stress opposit)
northward
stress
kg m-2 s-1
time: mean
kg m-2 s-1
time: mean
Drainage
kg m-2
time: mean
kg m-2 s-1
time: mean
Specific ice
water
convective
snowfall rate
large scale
snowfall rate
W m-2
time: mean
sfc SW net rad.
clear sky
W m-2
time: mean
sfc LW net rad.
clear sky
kg kg-1
1
time: mean
kg m-2
surface snow
area fraction
rainfall rate
Soil water
time: mean
area: mean
where land
kg m-2
kg m-2
1
1
toa downward
shortwave
radiation
cloud
condensed
water content
canopy water
amount
land-sea
fraction
relative
humidity
downward heat
flux in soil
Total ground
heating
W m-2
time: mean
W m-2
time: mean
kg m-1 s-1
time: mean
zonal humidity
flux
kg m-1 s-1
time: mean
meridional
humidity flux
m3 m-3
possibly
added
kg m-2 s-1
time: mean
kg m-2 s-1
time: sum
time: mean
This
element
possibly
added
The unit
is [kg m- each
layer is
total
possibly
precipita added
possibly
added
land-sea
mask
past 3hr mean
ground
heat flux
possibly
added
possibly
added
snowmelt rate
eastward flux of
gravity wave
stress
instante
nous
(sign is N m-2
opposit)
Soil porosity
2m relative
humidity
%
Pa
mean
convective
precipitation
mean sea level
pressure
Total runoff
Pa
W m-2
in
separat
soil moisture
kg kg-1
kg m-2 s-1
This
element
The unit
is [ kg mThe unit
is [ kg m-
N m-2
tauvgwd
AVGRW_S
QVDT
SOHR
TEX
1 atmosphere_no
rthward_stress_
due_to_gravity_
wave_drag
1 tendency_of_w
ater_vapor_con
tent_of_atmosp
here_layer
1 net_rate_of_ab
sorption_of_sho
rtwave_energy
1
TMAX_2M
tasmax
1 net_rate_of_ab
sorption_of_lon
gwave_energy_
in_atmosphere
1 air_temperature
TMIN_2M
tasmin
1 air_temperature
THHR
UQVFL
VQVFL
W
W_ICE
AEVAP_C
ASBHFL
ASNOWHFL
rsutcs
ASOUPCS_T
ASSHFL
CLC_CON
DQVDT_ADV
DQWDT_ADV
DSEFL_DIFF
DTDT
DTDT_ADV
FR_QWQI
1 eastward_water
_vapor_flux
1 northward_wate
r_vapor_transp
ort_across_unit
_distance_in_at
mosphere_laye
1 upward_air_vel
ocity
1 frozen_water_c
ontent_of_soil_l
1 water_evaporati
on_flux_from_c
anopy
1 downward_heat
_flux_at_groun
d_level_in_sno
1 surface_snow_
melt_and_subli
mation_heat_flu
1 toa_outgoing_s
hortwave_flux_
assuming_clear
_sky
1 surface_snow_
sublimation_he
at_flux
1 convective_clou
d_area_fraction
1 tendency_of_sp
ecific_humidity_
due_to_advecti
1 tendency_of_m
ass_fraction_of
_cloud_conden
sed_water_in_a
ir_due_to_adve
1 downward_dry_
static_energy_fl
ux_due_to_diffu
1 tendency_of_air
_temperature
1 tendency_of_air
_temperature_d
ue_to_advectio
1 mass_fraction_
of_cloud_conde
nsed_water_in_
1
HR_CON
Pa
time: mean
meridional
stress due to
gravity wave
drag
kg m-2 s-1
time: mean
tendency of
total moisture
W m-2
time: mean
1
W m-2
K
K
kg m-2 s-1
time: mean
time: maximum
within days
time: minimum
within days
time: mean
kg m-1 s-1
m s-1
kg m-2
kg m-2 s-1
time: mean
HTOP_CON
IDIV_QV
IDQV_CON
IDQV_GSP
1 convective_clou
d_top_height
1 downward_wat
er_vapor_flux_i
n_air_due_to_di
ffusion
1 tendency_of_at
mosphere_wate
r_vapor_conten
t_due_to_conve
1
layer mean
longwave
heating rate
DQVDT
is
similar
but unit
DTDT_
SHRT is
similar,
DTDT_L
ONG is
similar
but the
2m max
temperature
2m min
temperature
zonal moisture This
flux
element
This
element
Water Vapor
Meridional Flux is output
as
IVQVFL
vertical wind
velocity
Frozen soil
water content
Intercepted
water
evaporation
Snow basal
heat flux
W m-2
W m-2
W m-2
time: mean
W m-2
time: mean
1
kg kg-1 s-1
Snow phase
change energy
toa outgoing
shortwave flux
assuming clear
sky
Snow
Sublimation
Heat Flux
convective
cloud cover
dqdt advection
kg kg-1 s-1
W m-2
T flux: Vert
diffusion
K s-1
tendency of
total
K s-1
dtdt advection
1
cloud water/ice
concentration
W m-2
time: mean
W m-2
time: mean
1
HR_GSP
layer mean
shortwave
heating rate
fraction of sand,
clay and silt
N m-2
m
layer mean
convective
latent heating
layer mean
stratiform latent
heating rate
height of
convective
cloud top
DTDT_
CONV
is
DTDT_L
ARGE is
similar
Q flux: Vert
diffusion
kg m-2 s-1
kg m-2 s-1
time: mean
kg m-2 s-1
time: mean
DQVDT
convective
_CONV
moistening rate is
similar
DQVDT
stable
moistening rate _LARG
E is
soil type in
separat
max
with
max
with
possibly
added
1
IDTDT
tendency_of_air
_temperature
1 tendency_of_at
mosphere_wate
r_vapor_conten
1 atmosphere_ne
t_rate_of_absor
ption_of_shortw
ave_energy
1 atmosphere_ne
t_rate_of_absor
ption_of_longw
ave_energy
1 water_vapor_co
ntent_of_atmos
phere_layer
1
IQVDT
ISOHR
ITHHR
IWV_m
lrghr
K s-1
vertically
averaged
tendency of
temperature
local moisture
tendency
kg m-2 s-1
time: mean
W m-2
time: mean
Shortwave
heating rate
W m-2
time: mean
Longwave
heating rate
kg m-2
specific
humidity
W m-2
Stable Latent
Heating Rate
1
lrgmr
1 air_pressure_at
_cloud_base
1 air_pressure_at
_convective_clo
ud_base
1 air_pressure_at
_cloud_top
PBAS
PBAS_CON
PTOP
PTOP_CL
PTOP_CON
QV_S
mrso
SNOW_SUB
SNOW_SUB_SN
SOB
ST_E
THB
THETA_2M
UMFL
1 air_pressure_at
_cloud_top
1 air_pressure_at
_convective_clo
ud_top
1 soil_moisture_c
ontent
1 surface_snow_
sublimation_am
1 surface_snow_
sublimation_am
1 net_downward_
longwave_flux_i
n_air
1 snow_thermal_
energy_content
1 net_downward_
shortwave_flux
_in_air
1 air_potential_te
mperature
1 downward_east
ward_momentu
m_flux_in_air
1
UMFL_DIFF
USTAR
1
1
1 tendency_of_w
ater_vapor_con
tent_due_to_tur
bulence
1
VMFL_DIFF
VW_SO
RELHUM
Pa
1 volume_fraction
_of_water_in_s
1
relative_humidit
y
time: mean
Pa
Pa
time: mean
Pa
Pa
kg m-2
kg m-2
time: sum
kg m-2
time: sum
W m-2
J m-2
time: mean
Snow thermal
energy
T flux: SW rad
K
Pa
high, medium
and low cloud
base pressure
convective
cloud base
pressure
high, medium
and low cloud
top pressure
cloud top
pressure (when
cloudy)
convective
cloud top
pressure
surface
moisture
Snow
evaporation
Snow
evaporation
DTDT_L
ARGE is
similar
but the
DQVDT
_LARG
E is
similar
but the
unit is
T flux: LW rad
W m-2
Pa
vdfhr
vdfmr
Stable
Moistening
Rate
kg m-2 s-1
This
element
is output
as DTD
DQVDT
is
similar
DTDT_
SHRT is
similar
but the
DTDT_L
ONG is
similar
but the
time: mean
potential
temperature
Momentum
flux, u
component
This
element
is output
U flux: Vert
diffusion
m s-1
friction velocity
W m-2
Turbulent
Heating Rate
kg m-2 s-1
Turbulent
Moistening
Rate
Pa
V flux: Vert
diffusion
1
soil moisture
1
relative
humidity
DTDT_
DIFF is
similar
but the
DQVDT
_DIFF is
similar
but the
SOILH2
O is