MAP D-PHASE
http://www.map.meteoswiss.ch/d-phase
WG-HEU: Hydrology and End Users Working Group
MAP D-PHASE User Questionnaire 2
Dear MAP D-PHASE user
By answering our first questionnaire you expressed the wish to participate in the MAP
D-PHASE project. With this second questionnaire we want to fix some details about how
your participation in D-PHASE will look like. You will find detailed information about
the project on the following web site: http://www.map.meteoswiss.ch/d-phase.
If any questions arise whilst answering this questionnaire, don't hesitate to ask your MAP
D-PHASE contact person (this is the person being member of the D-PHASE WG
Hydrology and End Users you got this questionnaire from).
Please return via e-mail to X.Y (for instance Evelyne Richard, Roberto Ranzi , Christoph
Hegg, Uwe Ehret, Matjaz Mikos) and cc to Roberto Ranzi (ranzi@ing.unibs.it) and to
Christoph Hegg (hegg@wsl.ch)
Name, Institution, Address:
______________________________________________________________________
______________________________________________________________________
______________________________________________________________________
1. Tick one of the following three boxes:
□
I am a “hydrological modeller”, using meteorological information to operate
hydrological forecasting models. Check if the indications in Annex 3 (tables 1 to 4)
are complete and correct, and if not please add an entry or correct the information.
□
I am a “hydrological forecaster”, using meteorological or hydrological
information provided by MAP D-PHASE to generate hydrological forecasts. Check
if the indications in Annex 3 (tables 1 to 4) are complete and correct, and if not
please add an entry or correct the information.
□
I am an “end user”, using meteorological and / or hydrological information
provided by MAP D-PHASE for decision support. Check if the indications in
Annex 3 (tables 1 to 4) are complete and correct, and if not please add an entry or
correct the information.
2. I need information for the following impact area(s):
Name of the Name of the basin geographical coordinate (latitude,
basin
outlet station
longitude in degrees and
hundredths )
Area of the
basin (km²)
If possible please add shape file to this questionnaire when submitting it
3. Tick one of the following two boxes and specify in Annex 1 if necessary:
□
□
I need meteorological information only
I need meteorological and hydrological information
4. Tick box below and specify in Annex 2 if applicable:
□
I want an alarm / alarms to be issued if specific conditions / thresholds have been
reached in my impact areas (If yes, please specify in Annex 2).
The actual alarm status will be shown on the visualisation platform. No active alarms are
pushed to users by MAP D-PHASE, but only passive ones, through the visualisation
platform.
5. Tick box below (acceptance of commitment to provide feedback):
□
By participating in MAP D-PHASE I accept the duty to use the additional
information which will be provided by the project through the data interface and/or
displayed on the visualization platform and to give feedback on whether and why /
why not this additional information was helpful (Details will be given in the
Implementation Plan).
6. By ticking one of the two boxes below I accept the data policy of MAP D-PHASE that
all data delivered to the data platform can be used within the framework of the project
(e.g., for verification purposes), but only for activities related to research:
□
□
After the end of MAP D-PHASE this data can be made available to the scientific
community in general without any restrictions. In other words the data will be
considered as ‘Required’ according to the MAP data policy.
After the end of MAP D-PHASE this data can only be used with my agreement. In
other words the data will be considered as ‘Supplemental’ according to the MAP
data policy.
7. Tick box below (mailing list) and specify (necessary for legal reasons):
□
I agree to be included in the mailing list of MAP D-PHASE users to get additional
information about the project and about how to actively participate in the project.
Please include all following mails into your mailing list.
______________________________________________________________________
______________________________________________________________________
______________________________________________________________________
(Add additional lines if necessary)
Thank you for completing this questionnaire. We are looking forward to collaborate with
you in the context of the MAP D-PHASE Project.
Roberto Ranzi, Christoph Hegg
Co-chairs of MAP D-PHASE WG HEU
ANNEX 1 to question 3 of MAP D-PHASE User Questionnaire 2
I would like to receive the following information for the impact area ____________________________________:
Parameter
Site
Spatial resolution
Total precipitation averaged over the
basin (mm)
Gridded total precipitation
Runoff forecast
Whole area
Whole area
Basin outlet
..........
(Please add a row for every parameter)
Data source
Areal average
Temporal
resolution
12 h
2 km
point
1h
10'
MeteoSchweiz
Hydrological survey
MeteoSchweiz
ANNEX 2 to Question 4 of the MAP-DPHASE User Questionnaire 2
For the impact area ____________________________ I want the following alarms to be issued
Parameter
Areal total precipitation averaged over the
basin (mm)
Runoff
(Please add a row for every alarm)
Site
Oglio Basin
Spatial resolution
Areal average
Temporal resolution
12 h
Threshold
50 mm
Sarnico
Point
-
50 m3/s
ANNEX 3: Annex of MAP D-PHASE Implementation plan for information and verification (cf. Pt 2 of Questionnaire)
Table 1: Participating institutions (not including indirect contributions from the COPS, THORPEX, Meteorisk, and COST 731 communities). Contributions are
categorised according to components of the end-to-end forecasting system, i.e. atmospheric models (a), hydrological models (h), nowcasting tools (n), observational data
(o), meteorological and/or hydrological forecasters (mf, of), and end users (e).
Type
Name
Contact person
Contributions
Comments
National /
Regional Weather
Service
MeteoSwiss
F. Ament
U. Germann
P. Ambrosetti
aLMo (a);
Swiss radar nowcast (n);
forecasters (mf)
CNMCA
G. Frustaci
L. Torrisi
A. Terzo
???
EuroLM (a);
nowcasting procedures (n);
extra soundings (o);
radar data (o)
National Weather Centre and
Meteorological Competence Centre for
Civil Protection
ARPA-SIM
A. Montani
D. Cesari
NN
NN
COSMO-LEPS (a);
LAMI (a);
TopKapi (h);
radar data (n or o?)
Also Functional Centre for Civil Protection
ARPA Piemonte
R. Cremonini
Radar nowcast (n)
ARPAL-CFMI-PC
M. Corazza
F. Giannoni
MOLOCH (a);
DRIFT (h)
APAT
G. Monacelli & S. QBOLAM (a)
Mariani
Italian National Environment Agency; also
Competence Centre for hydro-geological
risk for Civil Protection
Météo-France
Y. Seity
AROME (a)
Collaboration with U Paul Sabatier
DWD
M. Denhard
M. Denhard
LMK (a)
micro-PEPS (a)
ZAMG
Y. Wang
ALADIN-Austria (a)
UK Met Office
K. Mylne
K. Mylne
K. Mylne
MOGREPS (a);
global EPS (a);
post-event simulations with Unified Model (a)
INM
J. García-Moya
SREPS (a)
Environment Canada
S. Gravel
GEM-LAM (a)
Also Functional Centre for Civil Protection
Collaboration with ALADIN-LACE
Type
Name
Contact person
Contributions
State authority
Hochwasservorhersag
ezentralen Iller/Lech,
Kempten (D) and Isar,
Weilheim (D)
U. Ehret
LARSIM (h)
University
ETHZ
B. Ahrens
C. Schär
PREVAH (h);
process studies on atmospheric predictability
EPFL
F. Jordan
Routing System II
IST-SUPSI
S. Seno
Lago Maggiore sea level prediction (h)
U Brescia
R. Ranzi
DIMOSOP (h)
U Trento
D. Zardi
D. Zardi
Post-event simulations with a hydrological model (h);
process studies
U Aquila-CETEMPS
R. Ferretti
R. Ferretti
MM5 (a);
WRF (a)
CIMA
A. Parodi
N. Rebora
Post-event simulations with LAMI (a);
RainFARM: post-event stochastic downscaling of
deterministic and probabilistic atmospheric model
outputs for hydrological purposes
Collaboration with ARPA-SIM
U Paul Sabatier
E. Richard
Post-event simulations with AROME (a) and MesoNH (a)
Collaboration with Météo-France
U Hohenheim
H.-S. Bauer
MM5 (a) and/or WRF (a)
U Vienna
R. Steinacker
M. Dorninger
VERA analysis (for assimilation)
Real-time model validation (online monitoring)
Collaboration with Austro Control (ACG)
U Ljubljana
J. Rakovec
Post-event simulations with COAMPS (a) and/or
AROME (a)
Collaboration with Meteorological Office
of Environmental Agency of Slovenia
Ch. Hegg & M.
Zappa
PREVAH (h)
Research institution WSL
Comments
Collaboration with WSL (M. Zappa)
Real-time application conditioned to
availability of funds in 2006; otherwise
selected event-based and postprocessing of flood events
Type
EUMETNET
Name
Contact person
Contributions
Comments
ISAC-CNR
S. Davolio
MOLOCH (a)
Collaboration with ARPAL-CMIRL and
SAR
DLR
C. Keil
Real-time model validation of COSMO-LEPS (online
monitoring)
Collaboration with ARPA-SIM
FZK IMK-IFU
J. Werhahn
A. Marx
H. Kunstmann
MM5 (a)
WRF (a)
WaSIM (h)
SRNWP
M. Denhard
PEPS (a)
EUCOS
J. Caughey
Extra observations (o)
Table 2: Participating atmospheric models (limited-area ensemble prediction systems and high-resolution deterministic models).
Model1
Mesh-size Number
Number
(ensemble [km,
of grid
of vertical
size)
(degrees)] points
levels
(S-N, W-E)
limited-area COSMOensemble
LEPS (16)
prediction
MOGREP
systems
S (24)
Forecast Initial
range
time(s)
[h]
[UTC]
40, -170
-16, -12.5
132
37.5, 177.5
none
Institution
432, 720
SREPS
(20)
27 (0.25)
164, 384
GEM-LAM
(???)
10 (???)
PEPS
7 (0.0625)
560, 960
none
35, -30
42
00, 06,
12, 18
EUMETNET 35
SRNWP
microPEPS
2 (0.02)
500, 650
none
40, 4
36
00, 12
DWD
7 (0.0625)
2.2 (0.02)
325, 385
350, 520
43.0, -170
43.0, -170
-9.75, -16
-4, -5.7
72
18
00, 12
00, 03,
06, 09,
12, 15,
18, 21
MeteoSwiss 101
2988 1845
32.5, -170
-24.0, -5.0
30
00, 12
32.5, -170
32.5, -170
-25, -8.5
-21.925, -3.5
72
48
00, 12
00, 12
40
potential
problems
MD3 COPS4
25 (0.22)
LAMI
12
ARPA-SIM
272
-22.49, -46.98 36
06, 18
UK Met
Office
39
24, -65
00, 12
INM
49
72
Environmen ?
t Canada
45
60
CNMCA
2.8 (0.025) 770, 518
7 (0.0625) 319, 299
2.8 (0.025) 532, 447
40
40
ARPA-SIM
For the high-resolution deterministic models, the coarser-resolution driving model(s) are also listed (if their output is provided).
For formulae used, see below.
3
Output for MAP D-PHASE domain (43 to 50 N, 2 to 18 E)
4
Output for COPS domain (47.25 to 50 N, 6 to 10.5 E)
2
Tape space
[GB]2
258, 306
EuroLM?
ITA-LM
1
Position of
lower left
corner
[rlat, rlon];
italic for unrotated grid
10 (0.09)
highaLMo
resolution
deterministi
c
models
40
Position of
rotated Npole
[lat, lon];
‘none’ for unrotated grid
149
?
780
CIN
489
101
1233 780
Model1
Mesh-size Number
Number
(ensemble [km,
of grid
of vertical
size)
(degrees)] points
levels
(S-N, W-E)
Position of
rotated Npole
[lat, lon];
‘none’ for unrotated grid
Position of
lower left
corner
[rlat, rlon];
italic for unrotated grid
Forecast Initial
range
time(s)
[h]
[UTC]
Tape space
[GB]2
potential
problems
MD3 COPS4
hindcast CIMA
s only
LM
LMK
2.8 (0.025) 461, 421
40, -170
-5.0, -5.0
18
00, 03,
06, 09,
12, 15,
18, 21
2.2 (0.02)
242, 320
none
43.3, 5.4
24 or 36
12 (?)
2.2 (0.02)
194, 200
45, -171
-1.93, -1.99
36
12
MOLOCH
MOLOCH
5
Institution
MM5 and
WRF
1 ()
QBOLAM
33 (0.3)
11 (0.1)
36
98, 162
210, 386
Nested into the 12 UTC run, starting at forecast time +12h.
51.5, -167.5
51.5, -167.5
-13.2, -24.3
-9.9, -18.3
60
48
DWD
?
1912 1180
ISAC-CNR
?
283
0
?
142
0
ARPALCFMI-PC
GRIB1 (check
with ARPAL!);
only subset of
TIGGE list
only 3-hourly;
only subset of
TIGGE list;
sub-domain
(check with
ISAC!)
University of ?
l’AquilaCETEMPS
12
005
APAT
1
38
24
GRIB1 (check
with ARPAL?);
only subset of
TIGGE list;
sub-domain
(check with
ISAC?)
Model1
Mesh-size Number
Number
(ensemble [km,
of grid
of vertical
size)
(degrees)] points
levels
(S-N, W-E)
AROME6
(0.1)
(0.04)
221, 281
160, 216
46
41
Position of
rotated Npole
[lat, lon];
‘none’ for unrotated grid
Position of
lower left
corner
[rlat, rlon];
italic for unrotated grid
Forecast Initial
range
time(s)
[h]
[UTC]
none
none
34.57, -11
43.2, 5.3
54
30
???
45, 55
73, 77
49, 57
37, 28
none
none
none
none
54 (0.52)
18 (0.16)
6 (0.06)
2 (0.02)
48, 56
64, 64
49, 49
43, 43
9.6 (???)
270, 300
100, 100
180, 180
220, 250
MM5
60 (0.56)
15 (0.14)
3.75 (0.04)
1.25 (0.01)
GEM-LAM
6
none
none
none
9 (0.09)
3 (0.03)
1 (0.01)
Unified
Model
potential
problems
00
00
MétéoFrance
-7
106
CAPE, CIN
95
hindcast University
s only
Paul
Sabatier
MM5
and/or
WRF
ALADINAustria
Tape space
[GB]2
MD3 COPS4
AROME
WRF
Institution
36
36
36
24
24
24
00, 12
00, 12
00, 12
University of 16
Hohenheim 55
272
34.08, -7.02
42.10, 2,72
46.88, 10.18
47.30, 10.85
72
72
60
60
00, 12
00, 12
00, 12
00, 12
FZK IMKIFU
none
none
none
none
34.79, -7.40
42.07, 3.66
46.33 ,9.37
47.27, 10.49
72
72
60
60
00, 12
00, 12
00, 12
00, 12
FZK IMKIFU
none
(centred at
46.26, 17.0)
48
00, 12
ZAMG
1
20
11
12
2451
GRIB1 (check
with FZK!);
sub-domain
(check with
FZK!)
0
standard MM5
output;
only subset of
TIGGE list
1
15
10
22
0
standard WRF
output;
only subset of
TIGGE list
95
60
hindcast UK Met
s only
Office
Environmen
AROME runs on a Lambert projected grid with a mesh-size of 2.5 km with (309, 309) grid points centred at (46.39N, 9.6E). The specifications given in this
table refer to the GRIB output on a regular lat/lon grid. The respective numbers for the driving model (ALADIN-France) are 9.5 km, (300, 300), and (?, ?),
respectively.
7
Data not provided, unless someone explicitly asks for it.
Model1
Mesh-size Number
Number
(ensemble [km,
of grid
of vertical
size)
(degrees)] points
levels
(S-N, W-E)
2.5
(0.0225)
433, 420
Position of
rotated Npole
[lat, lon];
‘none’ for unrotated grid
Position of
lower left
corner
[rlat, rlon];
italic for unrotated grid
42.37, -165.81 39.52, 3.10
Forecast Initial
range
time(s)
[h]
[UTC]
Institution
Tape space
[GB]2
MD3 COPS4
24
00 (?)
t Canada
388
242
potential
problems
Table 3: Participating hydrological models (check table 2 and annex 4 for available atmospheric models).
Driving model8
Model
Impact area
ensemble
hydrological
models
PREVAH
Lago Maggiore
(CH)
ETHZ/WSL
deterministic
hydrological
models
PREVAH
Canton of
Glarus (upper
Linth
catchment, CH)
WSL
Routing System II
Canton of Wallis
(upper Rhone
catchment, CH)
EPFL
Lago Maggiore sea
level prediction
Lago Maggiore
(CH, I)
IST-SUPSI
TopKapi
Reno River and
Secchia River in
EmiliaRomagna
region (I)
ARPA-SIM
DRIFT
Liguria (I)
ARPAL-CMIRL
DIMOSOP
Oglio and Mella
(in connection
to the end
users). Selected
catchments in
the Lago
Maggiore region
(pending for real
time
applications) (I)
U Brescia
LARSIM
Iller, Lech, and
Isar catchments
Hochwasservorhersageze
ntralen Iller/Lech,
8
Forecast range [h]
If not driven by an atmospheric model, specify input data (e.g., nowcasting tool, observational data, etc.)
Initial time(s) [UTC]
Institution
(Bavaria, D)
Kempten (D) and
Isar, Weilheim (D)
Table 4: Participating forecasters / end user pairs (each end user is alerted by his or her forecaster, only, i.e. there may be more than one end user per forecaster but
there is only one forecaster per end user).
Forecaster
End user
Impact area
Data providers9
WSL (?)
Ticino water management agency
Lago Maggiore (CH)
PREVAH (ETHZ/WSL)
WSL (?)
Glarus natural hazards management
agency
Canton of Glarus (upper Linth
catchment, CH)
PREVAH (WSL)
EPFL (?)
Canton of Wallis
Canton of Wallis (upper Rhone
catchment, CH)
Routing System II (EPFL)
IST-SUPSI (?)
Regional civil protection agency
Lago Maggiore (CH, I)
Lago Maggiore sea level prediction
(IST-SUPSI)
ARPA-SIM
Emilia-Romagna Functional Centre for
Civil Protection
Reno River and Secchia River in
Emilia-Romagna region (I)
TopKapi (ARPA-SIM)
ARPAL-CMIRL
Liguria Functional Centre for Civil
Protection
Liguria (I)
DRIFT (ARPAL-CMIRL)
U Brescia (?)
Consorzio dell’Oglio (Oglio River Water
Authority)
Oglio and Mella (in connection to the
DIMOSOP (U Brescia)
end users). Selected catchments in the
Lago Maggiore region (pending for real
time applications) (I)
Hochwasservorhersagezentralen
Iller/Lech, Kempten (D) and
Isar, Weilheim (D)
Regional civil protection authorities
Iller, Lech, and Isar catchments
(Bavaria, D)
9
Data providers may provide data (model data, nowcasting data, and observational data) and/or alerts.
LARSIM
(Hochwasservorhersagezentralen
Iller/Lech, Kempten (D) and
Isar, Weilheim (D))
ANNEX 4: Domains of high-resolution deterministic meteorological models used in MAP D-PHASE (the computational domains of
ensemble prediction systems are typically much larger than the indicated MAP D-PHASE domain).