Methods taken by NMHS to generate long-range forecast products
We get Grid Point Value(GPV) data from NOAA, Tokyo climate center and Seoul WMO lead center. Then some statistical calibration methods such as ANN, MA and regression method will be done over GPVs to improve the seasonal forecast accuracy Iran. ECMWF's ERA-Interim gridded data was used to calibrate the model forecasts. English abstract of method used is available in the bellow link:
Provision of climate data through the website with limited/unlimited access
Some climate data are accessible to registered users under password protection free of charge. Access to daily and sub-daily data are limited. For university student, some of data are free of charge.
V. Regional Cooperation for the improvement of climate information services
Name(s) of Regional Climate Outlook Forums (RCOFs) in which the NMHS participates
ECO Regional Center for Risk Management of Natural Disasters (ECO-RCRM) Three regional workshops were held in I.R. of Iran National Center for Climatology in Mashad by joining 10 countries in the west and Central Asia including Turkey.
FOCRAII
Provision of relevant information based on the consensus forecast at RCOF(s) to domestic users
Seasonal forecasts are prepared by national climate center by getting data from TCC, NOAA, ECMWF, and Seoul WMO-LC-LRF
VI. Climate Information users and utilization of information
Framework for cooperation with climate information user sectors
Agriculture
Water management
Disaster Risk Reduction
Energy resources
Health and welfare
Transportation
Fishery
How user sectors utilize climate information
Users in which sectors
Agriculture
Water management
Disaster Risk Reduction
Energy resources
Health and welfare
Transportation
Types of climate information utilized
Long-range forecasts
Climate monitoring
Analysis and assessment based on historical data
Historical climate data
Climate change projections
Triggers for climate information utilization
Meetings for discussion with information users
Explanatory meetings for information users
User workshops
Publicity and educational activities
We are planning to hold the NCOF
Method of provision of climate information
Online
E-mail
Telephone and/or Fax
TV and/or radio
SMS, Virtual networks (Telegram, . . .)
Plan to provide new climate information
Providing Monsoon forecast over South and Southeast of Iran during June-September
Six to nine months high quality long-range forecast
Flood forecasting system at least in 5 days lead time
Health sector : bioclimate comfort index
Climate forecast for farmers
Efforts/activities to enhance the utilization of climate information
Meetings for discussions with information users
Explanatory meeting for information users
User workshops
Publicity and educational activities
Holding dialogue with agriculture users
Holding workshops for water resources experts from Iranian water resource company
Holding 2-weeks training course for newly graduated students in the field of agriculture, meteorology
Meeting with water management, agriculture and disaster risk reduction sectors.
Provincial workshops with agriculture stakeholders to share climate data and forecast.
VII. Case study/Best practices in the application of climate information
(1) The followings were presented at the first meeting of the Intergovernmental Board on Climate Services (Geneva, July 2013).
Title
Abstract
Poster
Seasonal Forecast over Khorasan-Razavi Province, Iran using Statistical Post processing MRI-CGCM3 Output
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A Drought Early warning and Outlook system over I. R. of Iran (DOES)
Climate Change Projection over Iran using the PRECIS Regional Modeling System
Assessment of Agro-climatic Indices over North-east of Iran under Climate Change Scenarios
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(2) IRIMO has implemented a system called TAHAK (applied meteorological development) to provide practical data and information for agricultural users. This information includes agro meteorological newsletters, recommendations, warnings and other useful information to meet our national agro meteorological requirements.