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MAP DPHASE

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Mark Verbunt, Christoph Sch r ETH Z rich & COSMO-LEPS crew ... (Mark Verbunt, ETH Z rich) ILL Gisingen. Mark Verbunt, Christoph Sch r ETH Z rich & COSMO-LEPS ... – PowerPoint PPT presentation

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Title: MAP DPHASE


1
MAP D-PHASE
  • Forecast Demonstration Project
  • Instrument of WWRP
  • Last phase of MAP

Mathias Rotach, MeteoSwiss
2
What is an FDP?
  • WWRP instrument gt Forecast of weather of
    international relevance ? high-impact
    weather
  • gt Clear evaluation protocols
  • gt Expectation of success
  • gt Clear advance in operational forecast.
  • Proposal to WWRP

3
Components of MAP FDP
  • Forecast heavy precipitation events in the alps
  • Include assimilation schemes (e.g., for radar
    data)
  • Coupling hydro/meteo models
  • End-user specific products
  • ? develop and verify on MAP cases?
    experience with operational MC-2 (3km
    resolution during MAP SOP)
  • ? Forecast Demonstration period

4
General Goals
  • Demonstrate ability for improved forecast of
    heavy precipitation in the alps
  • ? High-resolution atmospheric modelling?
    ensemble forecast technique
  • ? Radar data (assimilation)
  • ? Hydrological modeling
  • End users involved (end user needs, e.g.
    probabilistic forecasts)
  • Evaluation protocols (yet to be determined)

5
D-PHASE.
  • Demonstration of Probabilistic Hydrological and
    Atmospheric Simulation of Flooding Events in the
    Alps

6
D-PHASE essentials
  • Forecast (warning) chain for heavy precipitation
    events in the alps
  • Test in pre-defined Forecast Period? MAP
    season (Sept to November) 2006 (7?)? extension
    to COPS (DFG field program on QNV in summer
    07)?
  • Joint Target area Lago Maggiore various
    sub-areas

7
Strategy for D-PHASE
  • Atmosphere - Multi-component approach
  • Local EPS systems (COSMO-LEPS, LAMEPS, PEPS,..)?
    3-5 days probabilistic forecast ? likelihood of
    event

8
Probability maps for 24 h precipitation
André Walser COSMO-LEPS
9
Strategy for D-PHASE
  • Atmosphere - Multi-component approach
  • Local EPS systems (COSMO-LEPS, LAMEPS, PEPS,..)?
    3-5 days probabilistic forecast ? likelihood of
    event
  • standard deterministic models at high
    resolution (1-3km) ? short-range, targeted?
    coupled hydrological models? latest radar
    information assimilated
  • A possible micro-LEPS made up as a poor mans
    EPS from the above? probabilistic information on
    hydrol. patterns.

10
Strategy for D-PHASE
  • Hydrosphere
  • Hydrological models? distributed? coupled
  • Assimilation of latest information ? radar
    composites? rain gauges
  • Probabilistic forcing? from atmospheric models?
    from radar (obs) uncertainty

11
Using COSMO-LEPS for hydrological forecasting
  • COSMO-LEPS Setup
  • quasi-operational since November 2002
  • initial and boundary cond. from ECMWF EPS
  • Integration period 120 h
  • Model Lokal Modell (LM)
  • Grid-spacing 10 km, 32 levels

Mark Verbunt, Christoph Schär ETH Zürich
COSMO-LEPS crew
12
Deterministic Runoff Forecast
Aare - Thun (2490 km2)
1999 570 m3/s
observed runoff
1970 400 m3/s
Runoff mm/h
Mark Verbunt, Christoph Schär ETH Zürich
COSMO-LEPS crew
13
Deterministic versus Probabilistic Forecast
AARE - Thun (2490 km2)
initialization
no precip
Runoff mm/h
51 member LEPS forecast
hydrological model driven by surface observations
surface observations
(Mark Verbunt, ETH Zürich)
Mark Verbunt, Christoph Schär ETH Zürich
COSMO-LEPS crew
14
Deterministic versus Probabilistic Forecast
ILL Gisingen
Runoff mm/h
initialization
51 member LEPS forecast
hydrological model driven by surface observations
surface observations
Mark Verbunt, Christoph Schär ETH Zürich
COSMO-LEPS crew
15
Representative members
5 EPS members (COSMO-LEPS clustering)
ILL Gisingen
Runoff mm/h
10 EPS members (COSMO-LEPS clustering)
Runoff mm/h
51 EPS members
Runoff mm/h
Mark Verbunt, Christoph Schär ETH Zürich
COSMO-LEPS crew
(Mark Verbunt, ETH Zürich)
16
Strategy for D-PHASE
  • End users
  • 1. Authorities
  • ? civil protection ? river/lake management
  • 2. THEIR needs? thresholds? cost/loss

--gt end-to-end flood forecasting system
17
ECMWF EPS
LAMEPS
regionalLEPS
Day -4
(COSMO) LEPS
Alert
Event? Where?
no
yes
Time
Days -3, -2, -1 Sub-domain X
HI-res simulation
HI-res simulation
HI-res simulation
ECMWF EPS
HI-res simulation
HI-res simulation
LAMEPS
regionalLEPS
(COSMO) LEPS
Confir- mation
HI-res LEPS
Hydrol. simulation
no
Nowcasting
Day 0
Latest obs.
Latest obs.
Latest obs.
Action
18
Contributions
  • Many (more than one..) LEPS SYSTEMS
  • Many high-res (1-4km) deterministic models--gt
    most covering the alps

19
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20
Contributions
  • Many (more than one..) LEPS SYSTEMS
  • Many high-res (1-4km) deterministic models--gt
    most covering the alps
  • Many hydrol. Models--gt each for one (more)
    catchment

21
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22
Contributions
  • Many (more than one..) LEPS SYSTEMS
  • Many high-res (1-4km) deterministic models--gt
    most covering the alps
  • Quite a few hydrol. Models--gt each for one
    (more) catchments
  • End users to be determined involved

23
Time table
Time
  • Evaluation etc. 2007
  • Demonstration period Aug to Nov 2006 (Jun/Jul
    desirable)
  • Test chain ready summer 2006
  • High res. models tested end 2005
  • Hydrol. Models tested end 2005
  • Test cases defined May 2005
  • Definition of user needs May 2005
  • Set up of organisation end 2005 (done)
  • Financial resources
  • Start summer 2005
  • application asap (dependent on
    what/where/etc)
  • Proposal WWRP spring 2005
  • Start May 2004

June to Nov 2007 ??
24
Thank you for your attention
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