Child pages
  • BMKG - Advanced DEWS Training 1
Skip to end of metadata
Go to start of metadata

DEWS training on the implementation of ECMWF Seasonal Forecast ensemble data in DEWS

BMKG, Jakarta, 16-18 February 2015

Background

 

As part of the Joint Cooperation Programme (JCP), a long-term knowledge sharing and capacity building program between Dutch and Indonesian institutes working in the field of climate and water resources management, a Drought Early Warning System (DEWS) has been developed which is in operation since 2012 at BMKG. The development of the DEWS is part of JCP2 Sub-component D1 (Support for farmer services). The objective of this Sub-component is to extend the DEWS with seasonal climate forecasting capabilities and use the forecasts in the generation of base data to enable the upgrade of the currently available static cropping calendar (KATAM, Kalender Tanam, developed by the Indonesian Agency for Agricultural Research and Development, Balitbangtan, partner in JCP2) to a dynamic cropping calendar to support farmers in Indonesia.


As part of the knowledge transfer and capacity building component of JCP a technical training has been held on how ECMWF Seasonal Weather Forecast ensemble data can be connected to the DEWS. The objective of the training was for the trainees to be able to import ECMWF ensemble seasonal weather forecast data as well as other gridded datasets using Delft-FEWS and perform basic transformations and visualize the imported and transformed data.

Introduction

The technical DEWS training was hosted at the Climate Early Warning System (CEWS) room of the Climate, Agroclimate and Maritime Climate Division of BMKG in Jakarta from 16-18 February 2015. A total of 21 participants from BMKG, PusAir, BPPT and PU (Bina program and Pusdata) were trained by staff from Deltares (Ronald Vernimmen, Bayu Raharja and Aditya Riski Taufani).

A training manual was prepared which described the exercises for the training. The training manual was set up in such a way that in principle all the exercises could be completed without the aid of a trainer. A basic background in the use of Delft-FEWS, its general structure and the use of xml configuration files was however a necessary pre-requisite to follow this training. Despite the fact that most of the participants were new to Delft-FEWS the lack in basic background was not an issue in this particular training.

Summary of the training

Ronald opened the training by providing background on JCP and Delft-FEWS, the software in which the DEWS has been developed and continued to explain to purpose of this training and provided some background information on what ‘ensembles’ are, using a presentation previously prepared by KNMI.

After the introduction the participants started the training by first installing some necessary software in order to be able to edit many Delft-FEWS xml configuration files (using Oxygen XML) and inspect gridded data (using Panoply).

After installation the trainees started with carrying out the exercises. The exercises covered the import of ECMWF ensemble seasonal weather forecast data as well as other gridded datasets (of different data types, grib1 and NetCDF) and the calculation of some basic statistics (mean, min, max, percentile) from the forecasts, both on a grid as well as on individual river basin level.

It turned out that all the exercises could be completed in 2 days. The trainers therefore had to improvise and the trainees were given additional exercises to import their own gridded datasets into DEWS. One of the trainees, Robi Muharsyah shared another ECMWF dataset which the trainees could also import. In addition, a training manual previously prepared on how to import BMKG’s AWS station data into Delft-FEWS was shared and the trainees were also able to complete these exercises.

  • No labels