Observations for


a) Dekadal precipitation estimates for 1 Jan 2003 to the present (solid black line) with the addition of the short-term (2003-2014) average precipitation for the same region (grey dotted line). The blue (red) bars are indicative of precipitation estimates that are above (below) the short-term average. Note that the short-term average estimated precipitation data have been smoothed.

b) Cumulative dekadal precipitation estimates (solid black line) and the cumulative short-term (2003-2014) average precipitation estimates (grey dotted line) for the most recent 12-month period in the selected region. The blue (red) bars are indicative of estimates that are above (below) the short-term average.

c) Dekadal precipitation estimates for the current calendar year (thick black line). Precipitation estimates from previous years are also shown (blue: -1 yr from present; magenta: -2 yrs from present; grey: -3 yrs from present).

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Indonesia Rainfall Analysis Tool

This tool allows users to analyze recent rainfall in Indonesia via maps and location-specific time series, and to view a map of fire risk in Kapuas district.

Use the "Map Type" menu to display a map of dekadal total precipitation or a map of fire risk in Kapuas district in Central Kalimantan.

Over Central Kalimantan and neighboring provinces, rainfall anomalies are correlated with fire activity; from June-October, negative anomalies are associated with high fire activity.

A fire vulnerability map for Kapuas district in Central Kalimantan has been produced based upon a model that includes MODIS hot spot data and weighted contributions of the effects of land cover types, distances to rivers, roads, and village centers, spatial plan data, peat depth, and land system information. Significant changes in land use and land cover in recent decades, particularly in peatland areas, has increased the risk of uncontrolled bush and forest fires since the mid-1990s.

Dataset Documentation

Data Sources

Precipitation Estimates

Daily precipitation estimates, aggregated by dekad (approximately 10 days), on a 0.25 x 0.25 deg. lat/lon grid
Data Source
Climate Prediction Center Morphing Technique (CMORPH)
The dekadal precipitation estimates have been aggregated from the daily data. Every month has three dekads, such that the first two dekads have 10 days (i.e., 1-10, 11-20), and the third is comprised of the remaining days of the month. Therefore, the length of the third dekad of each month is not consistent and varies from 8 to 11 days, depending on the length of the month.
Joyce, R.J., J.E. Janowiak, P. A. Arkin and P. Xie, 2004: CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution. J. Hydrometeorology, 5, 487-503.

Fire Vulnerability Map for Kapuas District

Kapuas Administrative Boundary Maps

Digitzed map of the Kapuas Administration from Planning Board and regional development Kapuas (Bappeda Kapuas)

Maps of Road and River Networks and Village Centers

Regional Development Planning Agency of Central Kalimantan

Maps of Peat Land Distribution

Bappeda Distribution Map of peat land from the Natural Resources Conservation Agency of Central Kalimantan (Kalimantan BKSDA)

Fire Hotspot Data

MODIS Aqua/Terra from U. S. National Aeronautics and Space Administration (NASA)

How to Use the Indonesia Rainfall Analysis Tool

About the Tool

This tool enables users to view satellite rainfall data and rainfall anomalies over Indonesia, and a map of fire risk over the Kapuas district in Central Kalimantan. The tool uses Climate Prediction Center Morphing Technique (CMORPH) satellite-estimated precipitation data, from 2003 to the present. The data are updated every dekad (approximately every 10 days). This tool enables users to:

This tool can be helpful in understanding recent local rainfall conditions in particular locations in Indonesia and for understanding the spatial distribution of fire vulnerability in the district of Kapuas in Central Kalimantan.

Rainfall and Fire Activity in Indonesia

While this information about rainfall in Indonesia can serve a variety of purposes, this tool was originally designed to assist stakeholders in Central Kalimantan, Indonesia, and neighboring provinces to assess the likelihood of high or low fire activity in an upcoming season. Research conducted by IRI in partnership with CARE Indonesia and Bogor Agriculture University suggests that there is a close correlation between satellite-estimated rainfall data and fire hotspot activity in the peatland areas of the Kalimantan region. In particular, rainfall during the dry season from June to October is critical in determining fire activity, whether rainfall conditions in a particular location suggest a more- or less-intense-than-average fire season.

Therefore, if a user wishes to assess the likelihood of severe fires in a particular district, this tool can be used to create a graph of rainfall patterns in that district from 2003 to the present. The tool automatically calculates periods of anomalies (when rainfall is above or below average), and illustrates these with graphs.

For further information about the relationship between fire activity and satellite-estimated rainfall data, or if you have questions about how to interpret the data in this tool, please contact Pietro Ceccato (pceccato@iri.columbia.edu).

How to Use this Tool

To return to the menu page, click the blue "Climate and Fire" link at the top left corner of the page.

Use the "Map Type" drop-down menu to view either a map of precipitation estimates or a map of fire risk over Kapuas district.

Click and Drag to Zoom in to a Region on the Map:

  1. Click the left mouse button at the upper-left corner of the region to which you would like to zoom.
  2. While holding down the mouse button, drag the mouse to the lower-right corner of the region to which you would like to zoom.
  3. Release the left mouse button. The map will redraw automatically.
Zoom Out to the Full Map Extent:
  1. Move your mouse over the map until you see several icons appear above the map.
  2. Click the icon representing a magnifying glass.
  3. The map will redraw automatically.

Change the Date of the Map:

Find the the date of the dekadal estimated rainfall map by moving your mouse over the map until you see several icons appear above the map. Ensure that the "Time" icon has been selected and a text box will appear above the map with the date inside.
  1. To step forward or backward by one dekad, click the corresponding arrow buttons to the left or right of the date text box, and the map will automatically refresh.
  2. To manually change the date of the map, type your date of interest into the text box. For dekadal dates type the range of dates represented by the dekad of interest, such as "1-10 Jan 2008", and press "enter".

Generate Time Series Analyses:

  1. From the "Spatially Average Over" drop-down menu select either the size of a rectangular box (e.g., 55 x 55 km) or type of administrative region (province or district) over which estimated dekadal rainfall will be averaged to produce time series.
  2. Click on a location on the map to generate time series graphs of dekadal precipitation estimates for the selected region.

Download Time Series Data or Graphs in a Variety of Formats:

  1. Once the time series graphs appear on the page, move the mouse over them until you see several icons appear above the graphs, and select the "Download" icon.
  2. Once the "Download" icon has been chosen, select the graph you want to download by clicking on it. A black outline will appear around the graph you have selected.
  3. When the "Download" icon is selected, PDF, GIF, and JPG image download options and two data table options will appear above the graphs. If downloading a graph, once you have chosen the graph you want to download, select the image file format in which you would like to download it. If downloading a data table, select the "table" or "TSV table" option to download time series of the estimated dekadal precipitation and the multi-year average dekadal estimated precipitation values for the selected location.

Please feel free to email us with any questions or comments.


Access the dataset used to create this map.


Contact help@iri.columbia.edu with any technical questions or problems with this Map Room, for example, the forecasts not displaying or updating properly.