Proceeding of 2013 International Seminar on Climate Change and Food Security ISCCFS 2013
Palembang, South Sumatra -Indonesia, 24-25 October,2013
6 Fig. 2: Example format of grids of NASA-POWER, RCMs NARCCAP and Reanalysis NARR. Image
source: NASA POWER: http:earth-www.larc.nasa.gov
, NARCCAP: http:www.narccap.ucar.edu
and NARR:
http:www.ncl.ucar.edu The next issue associated with climate information is the accessibility of climate dataobservations that
are ready to use. It is recommended to conduct quality check following homogenization procedure to control data quality. Adjustments should be made to correct for data errors. In addition, climate impact, vulnerability
and adaptation assessments are also need climate projections. Such projections are usually constructed from outputs of global climate models or regional climate models. Downscaling techniques may also be applied to
project future climates. We propose the utilization of web-based system to ease the access of climate datainformation. The supply of climate information should also be tailored with user needs. An example of
this web-based information of climate projections is pileus project Winkler et al. 2012. A website,
www.pileus.msu.edu , is designed to allow users to obtain climate projections for a specific location. User
inputs have also been considered when selecting climate variables that are published in the website.
2.2. Climate Forecast Application
The advancement in computer power contributes significantly to weather forecast. As computer power increases, forecast skill increases Shuman, F. G.1989 and Kalnay, et al. 1998. This better skill is
because higher computer power is required to solve the complex equations that are formulated for the weather forecast. Global teleconnection can now also be studied as computer power becomes higher and
affordable. Studies have found that global forcing factors influence regional climate variations Lee and Robertson 2011. Considering this advancement, below ideas are proposed to take advantage of current
knowledge on global teleconnection and computer power for agricultural production. Development of methods to predict the onset dates of the rainy season based on global forcing factors
e.g., MJO, IOD, SST, SOI. The prediction of rainy onset is important as rainfall is a critical factor that determines farming activity in Indonesia.
Evaluation of the skill of forecast for Indonesia. Development of dynamic cropping calendar based on the global forcing factors so that climate extreme
events associated with climate dissaster such as flood and drought can be anticipated.
2.3. Precision Agriculture
Precision agriculture is proposed to take an advantage of information and technology applications in providing customized services to farmers. In this approach, a crop manager plays a vital role to manage a
farm. High computer technology, soil measurement, and geographic information system are employed to support daily farming activities. This innovative procedure is purposed to increase efficiency of the use
production inputs as well as use climate information effectively to support farming activity Figure 3. The issue is this system can be very expensive; on the other hand, farmers in Indonesia commonly own a
relatively small land area, unlike in developed countries where precision agriculture is introduced. Regardless of this condition, position of crop manager is still needed. Considering the land ownership in
Indonesia, a crop manager can be a role taken by a local government officer. The crop manager should understand how to use climate information to support farming activities and disseminate the information to
farmers in a region that is hisher responsibility.
Proceeding of 2013 International Seminar on Climate Change and Food Security ISCCFS 2013
Palembang, South Sumatra -Indonesia, 24-25 October,2013
7 Fig. 3: Diagram steps in precision agriculture. Source: Boer and Zaini 2012
2.4. Crop Cultivar Adaptive to Climate Change
