DOST-PROJECT NOAH El-Nino - AMF Lagmay

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DOST-PROJECT NOAH El-Nino - AMF Lagmay
DOST-PROJECT NOAH
      El-Nino
    AMF Lagmay
DOST-PROJECT NOAH El-Nino - AMF Lagmay
DOST-PROJECT NOAH El-Nino - AMF Lagmay
DOST-PROJECT NOAH El-Nino - AMF Lagmay
DOST-PROJECT NOAH El-Nino - AMF Lagmay
Consequences of El Niño
• El Niño is a disruption of the ocean-
  atmosphere system in the Tropical
  Pacific having important consequences
  for weather and climate around the
  globe.
DOST-PROJECT NOAH El-Nino - AMF Lagmay
Sendong
disaster Iligan

   UP NIGS team
DOST-PROJECT NOAH El-Nino - AMF Lagmay
DOST PROJECTS UNDER PROJECT NOAH

    In response to President Aquino’s instructions
      to put in place a responsive program for:

   1) flood mitigation, specifically targeting a 6
      hour flood early warning system for
      communities along 18 major river systems;
   2) enhancement of geohazard maps and;
   3) enhancement of storm surge vulnerability
      maps

           the DOST is presenting the
     Nationwide Operational Asessment of
                     Hazards

  DEPARTMENT OF SCIENCE AND TECHNOLOGY
DOST-PROJECT NOAH El-Nino - AMF Lagmay
DOST PROGRAMS UNDER THE NOAH PROGRAM

                                Project NOAH

 HydroMetDREAM-LIDARFloodNET
                          Hazard Information
                                           Landslides Doppler System Storm Surge
  Sensors                       Media         and      Development
                                          Geohazards
Developmen
     t

                Coastal
                 Landslides
                   Doppler
              Hazard
              HydroMet  Erosion
                     Information
                        Sensors
                   FloodNET
                 DREAM-LIDAR
               and
               and Geohazards
                   System
                   Storm
                    Media Surge
                 Development
                Development
DOST-PROJECT NOAH El-Nino - AMF Lagmay
• The difference between weather
  and climate is a measure of time.
  Weather is what conditions of the
  atmosphere are over a short period
  of time, and climate is how the
  atmosphere "behaves" over
  relatively long periods of time. Source:
 http://www.nasa.gov/mission_pages/noaa-n/climate
DOST-PROJECT NOAH El-Nino - AMF Lagmay
PAGASA has been closely monitoring
the oceanic and atmospheric
conditions in the tropical Pacific that
could lead to possible development
of an El Niño. A majority of climate
models indicate that El Niño may
develop this year. El Niño is
characterized by unusually warm
ocean surface temperatures in the
central and eastern equatorial
Pacific (CEEP).
The sea surface temperature anomaly (SSTA)
over the tropical Pacific remained to be El Niño
Southern Oscillation (ENSO)- neutral during
the past several months. The established
threshold of SSTA for an El Niño phenomenon
is 0.5°C or higher during a three-month
period.
PAGASA has already noted significant
increase in the SSTA from 0.2 to 0.4°C
from April 21 to April 28, 2014. Because of
this development and as climate models
predict that this condition may persist for
the next nine months, PAGASA is
foreseeing the onset of El Niño in June
which may peak during the last quarter of
2014 and may last up to the first quarter
of 2015.
El Niño could affect the normal rainfall
pattern in the country generally resulting in
reduced rainfall. Different parts of the
country may experience varying rainfall
impacts. PAGASA will be furnishing monthly
rainfall outlook for six months for the
different parts of the country.
The country could still experience normal
number of tropical cyclone this year.
However, El Niño causes the behavior of
tropical cyclones to become erratic,
affecting its tracks and intensity. The
tropical cyclone tracks are expected to shift
northward and its intensity could become
stronger.
Superimposed tracks of typhoons
                                                              15
                            that entered PAR from 1951-2013
PAR – Philippine Area of Responsibility
PAGASA will continue to closely monitor the
tropical Pacific and updates/advisories shall
be issued as appropriate. Concerned
agencies are advised to take precautionary
measures to mitigate the potential impacts
of this phenomenon.

MARIO G. MONTEJOSecretary, DOST
HYDROMET SENSORS

 More than 1000
 automated rain
 gauges (ARG),
 automated stream
 gauges (ASG) and
 automated weather
 stations (AWS)
HYDROMET SENSORS

                   Tropical Storm Gorio
19
Cloud Trail Code: Radar Images for September 19, 2012 10:00 UTC to 13:00 UTC

                                                                     3
Cloud Trails from Accumulation
September 19, 2012 10:00 UTC to 13:00 UTC

                                            3
Longer eigenvector (major axis of approximate ellipse)

                                                         3
4-hour forecasted images (by advection)

                                          3
Radar images and forecast images

                                   3
Pinatubo
Balikabo
    k
 Natib
Marivele
   s
Pinatubo
                              Natib

                      a   y
                  a B
         n   il
      Ma

Marivele
   s
Sample satellite-
                      derived maps

• 8-day maps           AA                B
 a. NDVI
 b. LST
 c. Soil Moisture
 d. Precipitation

• Maps can also
  be produced as
                       C                 D
  10-day, monthly,
  seasonal, and
  annual
  composites for
  all parameters
New Technologies

IBM Blue Gene supercomputer

• Generate 7-day weather forecast at 3
   kilometer resolution

• Update the forecast every 3 hrs
1.5 km model versus satellite imagery
                       every 3 hours

                                        Simulate
                                        d

                                        Satellite
Examples

                          Forecast volume of
Rainfall in millimeters

                          accumulated rainfall
                          over 24 hours per
                          watershed to give a
                          flood warning lead
                          time by at least a
                          day.
Proposed Flood Advisory System

                    190mm rainfall in 24hrs 240mmExamples
129mm rainfall in 24hrs                          rainfall in
                                                       24hrs

            Flood                          Flood           Flood
           Advisory                       Advisory        Advisory
            #1                              #2             #3

                                                               33
Examples

                           Storm surge

Storm surge height in cm
                           forecasts at least 2
                           days in advance;
                           Typhoon track,
                           strength, warnings,
                            days in advance
Examples

Events planning;
hydropower;
transport planning;
business planning;
general weather
Examples
Agricultural
planning;
reservoir control;
energy;
commerce; state
planning,
drought, etc.
Examples
                12
                10
Rainfall (mm)

                8
                6
                4
                2
                0
Examples

              Rainfall
              forecast with
millimeters

              climate change
              projections for
              each
              watershed
US NOAA’s Seamless Suites of
                  Products

                    Automated rainfall
                    now-casting (every
                    15 minutes) for up
                    to 4 hours ahead
                    -Project
Source: NOAA NCEP   NOAH/Climate-X
US NOAA’s Seamless Suites of
                  Products

                    Hourly weather
                    forecast up to 7
                    days ahead
                    PAGASA, Proj.
Source: NOAA NCEP
                    NOAH-WISE
US NOAA’s Seamless Suites of
               Products

                Seasonal forecast (i.e.
                daily: for up to 30 days
                ahead and weekly: for 1- to
                6- months ahead)
                  UK Unified Model
                  subscribed by DOST-
Source: NOAA NCEP
                  Project NOAH
US NOAA’s Seamless Suites of
                  Products

                    Interannual
                    and decadal
                      outlook
                    (PAGASA &
                     UK Unified
                      Models)

Source: NOAA NCEP
US NOAA’s Seamless Suites of
                  Products

                    Climate
                    projections
                       Now 25 km
                       downscaled to
                       8 km (PAGASA
                       & UK Unified
Source: NOAA NCEP
                       models)
UK Met office

                             NOW

2008 2009 2010 2011 2012 2013 2014 2015 2016
LIDAR
LIDAR
AR   Compostela Municipality Town Proper
AR   Compostela Municipality Town Proper
nity scale maps, development planning, emergency p
53
Barangay level landslide hazard map

                                       54
Department of Science and Technology
Superimposed tracks of typhoons
                                                              57
                            that entered PAR from 1951-2013
PAR – Philippine Area of Responsibility
UN
                                                           AVENUE

                                                           MALATE

                                                                  58
Storm surge (1.8 m height Typhoon Pedring) - inundation map for Manila
A hundred years
from now, during
                     2010
                     2110
                     2060
high tide, large
parts of Navotas
will be 4 meters
underwater and
Manila under 2
meters of water.
       Flood Depth
           (m)

                            60
DOST
Currently
PROJECT
available
NOAH
Landslide
LANDSLID
Hazard
E HAZARD
Map
MAP
     for
Northern
Leyte
IFSAR DIGITAL ELEVATION MODEL
       SHALLOW LANDSLIDES
      LANDSLIDE INVENTORIES
TRUCTURALLY CONTROLLED LANDSLIDES
        BARANGAY BORDER
   POSSIBLE LANDSLIDE EXTENTS

  Landslide
   Hazard Type Current map
  Enhanced map

  High                           62.53%
  28.34%
  Moderate                     10.54%
  19.91%
  Low                        20.61%
  4.22%                                    62
    Department of Science and Technology
  Safe                             6.32%
PHILIPPINE UNIVERSITIES’ SCIENCE OBSERVER
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