Introduction
2. Pilot Project

Users

Development ofan early warning
systemfor agriculture

User Interface
Platform (UIP)

1. EWE

Climate Services
Information System (CSIS)

Early Warning
Information
on Extreme
Weather

Observationand Monitoring

Research, Modelingand Prediction

Capacity
Development

GFCS five pillars and their links to users

Introduction
2. Pilot Project
Development ofan early warning
systemfor agriculture

1. EWE
Early Warning
Information
on Extreme
Weather

Users
UserProjectInterface
3. A Pilot
by TCC
Platform (UIP)
To collect and share
information
on climate
ClimateServices
services providedbyInformation
System (CSIS)
NMHSs as well as goodpractices in
RA IIModeling
Observation
Research,and Monitoring

and Prediction

Capacity
Development

GFCS five pillars and their links to users

Introduction
2. Pilot Project

Users

Development ofan early warning
systemfor agriculture

User Interface
Platform (UIP)

1. EWE

Climate Services
Early WarningInformation System (CSIS)

Information Observation
Research, Modelingand Prediction
on Extreme and Monitoring
Capacity
WeatherDevelopment
GFCS five pillars and their links to users

Background for EWE
Global Climate
Monitoring & Analysis

El Niño Monitoring& Outlook

Improving
Increasing
accuracy ofsocial demandseasonalfor climate
forecasts Long-range Forecast
information
Numerical Climate
Prediction& Re-analysis

Climate Change
Monitoring& Projection

Early Warning Information on
Extreme Weather (EWE)Early Warning Information on Extreme Weatherdate

0123

4

5

67

Tu

Wd Th

FrSa

Su

Mn Tu

89

10

111213

14

Wd Th

FrSa

Su

Mn Tu

Weekly forecast

Issue
Early Warning Information on
Extreme Weather (EWE)

Heat wave- Persistent Heat wave & Cold spell -T850 (11-20 Sep. 2012)

2012
N.
Japan

Jul.

Aug.

Sep.

Users can take actions
for preparedness
to mitigate adverse impacts
by extremely high/low temp.

Application of EWE in Energy sector

Provider

EWE(Statistical relation)

JMAANRE*
User

Expected T averagefor the week after next
Expected T maximum
for the week after next
Application

ElectricElectricity demand forecast
Powerfor the week after next
Companies* the Agency for Natural Resource and Energy of Japan

Application of EWE in Energy sector
In summer 2012, electric power companies
in Japan issued Electricity Demand Forecast
for their responsible areas, and called
people to save electricity.
Electricity Demand-Supply Outlook for the Week after Next
(As of Friday, June 29)(x 10 MW)

Monday, July 9 – Friday, July 13
Max. demand forecast
Max. supply capacity
Consumption rate

4,470
5,372
83%

* The maximum power demand outlook is calculated based on
the forecast provided by the Japan Meteorological Agency.

Introduction
Users

2. Pilot Project

Development of User Interface
Platform (UIP)an early warning
system Climate Services
Information System (CSIS)
1. EWEforagriculture(Early Warning
Information
on ExtremeWeather)

Observationand Monitoring

Research, Modelingand Prediction

Capacity
Development

GFCS five pillars and their links to users

Climate risk impacts on various fields
JMA is making efforts to find best practices
to use climate information in various fields.
Impacts on

Agricultural products- Cold/heat waves hinder thegrowth of agricultural products.
- Heavy rainfall or drought
causes destruction of crops.

Impacts on

Retail selling- Cold/heat waves damage
the selling of clothes andelectric appliances.

Impacts on

Human Health- Heat waves increase
the risk of heat stroke.

And so on…

A pilot project for agriculture: rice production
Impacts on

Rice production- Cold/hot summer conditions
cause damage to rice.

ProviderJMA

Collaboration!

User/Intermediary
Agricultural
Research Institute(NARO/TARC*)* National Agriculture and Food Research Organization/Tohoku Agricultural Research Center

Key processes of Pilot Project
GoalStart

1. Dialogue & Sharing knowledge
2. Joint technology development
3. Spread of best practices

Joint Technology Development
Dialogue &Sharing
knowledge
Agricultural
Research Inst.

Making 7-day mean temp.(T7d)
prediction at a 1-km resolution
up to two weeks ahead+
Climatologicalnormal of T7d(1km-resolution)

New Product

JMA=Numerical
Mean value ofWeather predicted T7d anomalies
Prediction(regional-scale)

Mean value ofpredicted T7d(1km-resolution)

Tailoring and experimental provision•The agricultural research institute(NARO/TARC) tailors temperature
prediction to customized
information for agriculture.

Website•Farmers can view the information
for their registered points on theInternet and receive an alertby e-mail.

AgriculturalResearchInstitute(NARO/TARC)

Tailored climate
information

Farmers
Action!

Feedback byquestionnaire survey* In collaboration with the Faculty of Software and Information Science at Iwate Prefectural University (IPU)

Tailoring and experimental provision- On 7 Aug., 2012, predictedprobability of temperaturesof ≥ 27 ºC was 57% during
the period from 15 to 21.
- The agricultural research
institute called farmers totake countermeasurescontrolling water depth intheir rice fields to avoid poor
grain filling in rice crops.
[ºC]

6420-2Seven-day mean temperature
anomaly (Tohoku region)

TargetClick!
1 Aug.

1 Sep.2012

Issued on 7 Aug.

Feedback by questionnaire survey
Based on the questionnaire survey in 2011, it has beenclarified that the provision of tailored climate information
offers potential benefits to farmers.
- Do you think whether
the provided information
was useful for youractivities to takecountermeasures or not?

04- Do you think whether
the provided information
had appropriate
1
accuracy of prediction
or not?
Questionnaire surveyby e-mail (Nov. 2011)- distributed to the 154 users- 89 replies were received.

33

33

2 (72)
024

45
5

4

3

21 (71)
1< Regarding predicted probability of alarming temperature >Introduction
2. Pilot ProjectUsers

3. A Pilot Project by TCC

Development ofan early warning
User Interface
systemPlatform(UIP)
Toagriculturecollect and share information
foron climate services
provided by
Climate Services
Information(CSIS)
1. EWE as well
NMHSs
as goodSystem
practices(Early WarninginObservation
RA II Research, Modeling
Informationon ExtremeWeather)and Monitoringand Prediction

CapacityDevelopment

GFCS five pillars and their links to users

Tokyo Climate Center as an RCC in RA IITCC serves as a WMO Regional Climate Center in the RA II.
TCC supports NMHSs through data/information provision andcapacity development activities.
Tokyo Climate Center (TCC) Provision of climate data andinformation via the Internet- Seasonal forecasts- Global warming- Report on extreme events - Climate monitoring- Climate system analysis -Reanalysis data Capacity Development- Training seminar- Expert visit

NMHSs in Asia
- Provision of climate information using
TCC data based on national requirements
Current status of establishment of RCC- Natural disaster reduction- Food security- Water management

TCC and BCC were designated as RCCs in RA II in 2009.

Capacity Development by TCC
Skillful Expertsof NMHSs

Expertsof NMHSs

SupportTCC
Improvement of climate services
by NMHSs in Asia and Pacific region

TCC Training Seminar on Climate Analysis Information, 26-30 November, 2012, Tokyo, Japan

Tokyo Climate Center website
http://ds.data.jma.go.jp/tcc/tcc/index.html

Operational Activities for Long-range Forecast
Operational Activities for Climate Monitoring

Operational Data Services, to support
operational LRF and climate monitoring
Training in the use of operational RCC
products and services

Links to products and services inline with RCC Mandatory Functions

Examples of Climate information, data and products
provided through the TCC website

Monitoring ofExtreme Climate Events

One-month Probabilistic
Forecast for Southeast Asia

El Niño outlook

Climate database

Asian Monsoon
Monitoring

Report onextreme climate event(Heavy rainfall
over the Indochina
Peninsula in 2011)

Global Average Surface
Temperature Anomalies

Launch of a pilot project by TCC
To collect and share information on climate
services provided by NMHSs as well as goodpractices in RA II in the application of climate
information to various fields, such as agriculture
and water management.
Sharing lessons learned andbest practices among NMHSs-to develop projects andimprove climate services
by NMHSs-to avoid duplication andminimize the risk of failure

Images of pilot
project webpage
to be developedby TCC