climate forecast applications institutionalizing climate forecast applications for agriculture

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Climate Forecast Applications Institutionalizing Climate Forecast Applications for Agriculture

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Climate Forecast Applications

Institutionalizing Climate Forecast

Applications for Agriculture

Climate Forecast Applications

Institutionalization

Sustained operational use of seasonal

climate forecasts beyond the life of a

project (Hansen, 2002)

Climate Forecast Applications Key components

Institutional commitment

-Providing forecast information

-support for climate forecast application

-policies that favour beneficial use

Researchers need to understand policy profile and influence the policy to some extent

Cooperation between institutions (lateral and vertical interactions)

Continuous incorporation of new developments

Climate Forecast Applications

Institutionalization process should start evolving during the course of the project itself when other pre-requisites are satisfied

Climate Forecast Applications Demonstration of climate forecast application: Pilot sites

Climate Forecast Applications Country wide disaster calendar:

Indonesia Philippines Vietnam

Jan - Feb: Floods

May - Sep: Drought

Nov - Mar: Drought

Jul - Aug: Typhoons

Aug - Nov: Typhoons

Sep - Nov: Floods

Dec - May: Drought

Climate Forecast Applications Climate forecast application experiences:

Indonesia:

Set up the National Forecasting Working Group in 1997 composed of BMG (Meteorological and Geophysical Agency), BPPT (Bureau of Assessment and Application of Technology), LAPAN (National Space Center) , Agricultural Research Institute, and Water Resources Management Research Institute

The Working Group draws upon forecast information from ASMC (ASEAN

Specialized Meteorological Center), IRI (International Research Institute for Climate Prediction), BOM (Bureau of Meteorology Australia), and UKMO (UK Met Office)

Prepares seasonal forecast guidance that includes seasonal monsoon onset, and monthly and seasonal cumulative rainfall for 102 climate forecasting regions

National user agencies process the outlook with reference to past impacts, for dissemination to provincial sectoral agencies as general alerts

Feedback from field user agencies to national agencies happens when a disaster occurs (Strong feedback to ensure subsidies)

Information not usable to the level expected for development planning

Climate Forecast Applications Climate forecast application experiences:

Philippines:

First season ahead forecast issued in Jan 1985; ENSO indices incorporated in seasonal forecasts starting 1987 during 1986-87 El Niño

Established the Drought Early Warning and Monitoring System (now known as

National ENSO Early Warning and Monitoring System) in 1987, which provided seasonal forecasts to policy and decision makers, economic planners and emergency managers

User departments analyze potential impacts and accordingly prepare contingency plans

For example, the Department of Agriculture, on receipt of advisory:o analyzes potential impacts and prepares vulnerability map for the country’s 12

administrative regions

o modifies map using inputs from irrigation department, food security agency, and agriculture research institutions

o disseminates information to regional/ provincial agriculture offices

Need to develop capacities to process information that is usable at the local level

Climate Forecast Applications

Climate forecast application experiences:

Vietnam:

Seasonal forecast based on Eurasian snow cover, ITCZ, etc.

Incorporated ENSO information in seasonal forecast only in 2000

Seasonal forecast disseminated to agriculture, water resources and disaster management agencies as general alert

Needed to make climate information usable for development planning

Climate Forecast Applications The need:

Climate forecast information that: is localized

timely

in easily understandable language meets end user needs

The issues:

Capacity to generate the localized information

Experience in communicating probabilistic scientific information for practical use by end users

Climate Forecast Applications

Climate forecast applications : Considerations

Institutionalization of the end-to-end climate information

generation and application system

Demonstrates local application of climate information

Provides localized climate information that matches users’

needs

Climate Forecast Applications Methodology: Six step process

Assess user needs and existing capacities of national institutions to meet these needs (need/ capacity assessments)

Assess relevance of latest scientific information to meet these needs (assessment of available technology)

Develop partnerships and enhance capacities of national institutions to generate information (capacity building through partnerships)

Institutional development to communicate information to end users (institutionalization of end-to-end system: pilot demonstrations, replication)

Apply information

Monitor and evaluate applicability of information

Climate Forecast Applications End-to-end climate information generation and

application system

Providing climate outlook

Interpreting global climate outlook into local outlook

Translating local climate outlook into impact scenarios

Communication of response options/ feedback

Climate Forecast Applications Activities:

Climate outlook:

Create a database on climate, ENSO impacts, new forecast tools

Develop climate scenario with ENSO indices

Generate downscaled climate information products

Develop seasonal climate outlook

Translation into impact outlook:

Create an agro-climate database

Develop climate impact scenarios on critical stages of the crop cycle and impact of pests and diseases on crop production

Develop seasonal climate impact outlook

Climate Forecast Applications Activities:

Application:

Develop institutional and project partnerships

Select demonstration sites

Analyze socio-economic / sectoral impacts of climate variability

Analyze institutional landscape

Analyze policy-decision system interaction

Include downscaled climate information into current policy, decision system

Evaluate performance of new decision system

Formulate policy changes for climate information utilization

Uptake policy and decision tools

Replication

Climate Forecast Applications Institutional mechanism: Indonesia

Provision of climate outlook

BMG

IPB

Translation of climate outlook

into impact outlook

Indramayu Agriculture Office

Conversion of impact outlook into crop management

strategies

Dissemination of information to farmers and evaluation of

farmers responseDirectorate of Plant Protection

Climate Forecast Applications Institutional mechanism: Philippines

GLOBAL CLIMATE PREDICTION CENTERS

Sea Surface Temperature AnomaliesRainfall Anomalies

Temperature Anomalies

CAB/ PAGASA/ DOST

Analysis / Downscaling techniques / Impact assessment procedures /

Forum Discussion

Tailored Local Climate Forecasts / Advisories (I loilo)

CLIMATE PATTERNS TRENDS

Near-real-time Data

HISTORICAL DATA AND INFORMATION

Episodic Events Documents

Dumangas Agromet Station

TWG CLIMATE FORUM

Prov’l Agricultural Officer Municipal Agricultural Officers

NIA Region VI Dumangas Agromet Station Officer

Farmers Reps. Local Irrigation System Office

IMPACTS / DECISION OUTLOOKS / ADVISORIES

FARMERS

Translation of Global Climate Forecasts into Impacts / Decision Translation of Global Climate Forecasts into Impacts / Decision Outlooks Outlooks and Advisories for the Endand Advisories for the End--User Farmers of Dumangas and Tigbauan, IloiloUser Farmers of Dumangas and Tigbauan, Iloilo

Climate Forecast Applications Institutional mechanism: Vietnam

ASMC IRI RCFC

NCHMF (HMS) CRC (IMH)

ARC (IMH)

Agriculture Extension (MARD)

QT Climate Information

Application Group

QT HMAC

DistrictDistrictDistrict

CommunesCommunesCommunes

FarmersFarmersFarmers

Provincial level Hydromet / Agricultural Extension Service

Climate Forecast Applications Partnerships with international, national, local institutions:

Bureau of Meteorology and Geophysics

Directorate of Crop Protection, Ministry of Agriculture Bogor Agricultural University

Central Bureau of Statistics

BULOG (National food logistics agency)

Ministry of Regional Infrastructure

BAKORNAS BPB(National coordinating agency for disaster management)

CARE International in Indonesia

BPTP(Agency for the Assessment and Application of Agriculture Technology

Agriculture and Rural Development Bank

Provincial governments: West Java and Nusa Tenggara Timur

Office of the Bupati, Indramayu Regency, West Java

Farmers groups

International Research Institute for Climate Prediction (IRI)

Indonesia

Climate Forecast Applications Partnerships with international, national, local institutions cont.:

PAGASA(Philippine Atmospheric, Geophysical and Astronomical Services Administration

Department of Agriculture

Bureau of Agricultural Statistics

National Irrigation Administration

National Water Resources Board

National Disaster Coordinating Council

Dumangas Municipal Government

Local NGOs

Farmers groups

National Power Corporation

Institute of Meteorology and Hydrology Hydrometeorological Service, Vietnam

Agrometeorological Research Center

Climate Research Center

Ministry of Agriculture and Rural Development

Quang Tri Department of Science and Environment

Vietnam

Philippine

Climate Forecast Applications Forums for climate information providers and users:

National:

Seasonal climate forum (national meteorological and hydrological service (NMHS), intermediate users - e.g. agriculture and water resources ministries)

Inter- (user) agency committees (NMHS, agriculture and water resources ministries, water regulatory board, dam operators, water concessionaires, hydropower agency)

Sub-national: Provincial working group (provincial meteorological and hydrological station, agriculture and irrigation departments, universities, local government units, NGOs)

Local:

Local climate forum (local meteorological and hydrological station, agriculture and irrigation departments, local government unit, local NGOs, farmers’ groups)

Field schools (provincial and local meteorological and hydrological station,

agriculture extension, farmers)

F A R M E R S

Farmer Groups

P1-1

P1-2P1-2 P1-2

F A R M E R S

Farmer Groups

P1-1P1-1

P1-2P1-2 P1-2P1-2P1-2 P1-2P1-2P1-2 P1-2

Stage 1: training of agricultural extension specialists (district level)

Stage 2: training of agricultural extension workers (sub-district)

Stage 3: training of heads of farmers groups

Stage 4: training of farmers

Climate field schools:

Climate Forecast Applications Indonesia (Local level)

Climate Forecast Applications Delivery of locally-relevant climate information: Indonesia

Indramayu District, West Java, Indonesia

Step 1 : Revised climate forecast regions

New Climate ForecastRegion (DPM) for

Indramayu

DPM 6DPM 7

RATA-2 HUJAN B ULAN AN (m m)

0

50

100150

200250

300

350400

J F M A M J J A S O N D

RATA-2 HUJAN B ULAN AN (mm )

0

50100

150

200

250300

350

400

J F M A M J J A S O N D

Old Climate ForecastRegion (DPM) for

Indramayu

Climate Forecast Applications Step 2: Preparation of forecast maps

Indramayu District, West Java, Indonesia

Onset of dry season 2003

Dry season rainfall, 2003

Climate Forecast Applications Step 3: Preparation of forecast response plan

Indramayu District, West Java, Indonesia

Impact outlook

Farmers’ response plan

Climate Forecast Applications Climate forecast application: Philippine experience - 2002-03

Aug 2002: PAGASA issued the climate outlook for dry season Nov 2002 - Mar 2003, which forecasted rains below normal level

Based on this outlook, provincial agriculture office (PAO) prepared the impact outlook - tail-enders will not receive sufficient water for rice crop

PAO prepared response plan advising farmers to change crops

Most farmers followed the advice and changed their crop

The experience demonstrated the economic value of climate information

The experience convinced end users, local institutions of utility of climate information

Climate Forecast Applications Climate forecast application: milestones

Indonesia:

BMG now releases forecasts that are relevant to the lead-time requirements of end users

BMG have refined the seasonal forecast for Indramayu by establishing 6 forecast regions in place of existing 2 regions

Ownership (district head has incorporated CFA as priority activity of district development plan)

Counterpart funding (US$ 20,000) from BMG to support activity in Indramayu

National Government plan to streamline IPM field school programme with climate field school

Climate Forecast Applications Climate forecast application: milestones

Philippines:

Use of dry season 2002-2003 forecast was used by provincial agriculture office for the first time in preparing impact outlook and advised farmers to change crops

Provincial agriculture office proposed to establish a large number of local rainfall monitoring stations

Dumangas municipality established local agromet station

Local ordinance provides municipal funds to support climate forecast application on a continuous basis

Climate Forecast Applications Climate forecast Institutionalization: prerequisites

Local level demonstration of providing locally relevant climate information on a sustained basis

Involvement of local institutions, with financial/ budgetary commitment

Local institutions advocate for national policy

National policy replicates the program

Capacity building of intermediary institutions to translate and communicate forecasts