Full text: Proceedings, XXth congress (Part 7)

  
The distribution of fires in time was further 
analyzed and compared to the strength of the El 
Nino-Southern Oscillation (ENSO) as measured by 
the sea surface temperature anomaly (SSTA) in the 
Niño 3 region of the Pacific Ocean. The Niño 3 
anomaly followed a somewhat different evaluation 
in time over the five El Niño events (1982-83, 1986- 
87, 1991-92, 94 and 1997-98) (Figure 1b). 
350 4 
300 + 
Cloud & Time 
Normalised Fire Counts 
200 4 
50 4 
  
T T T T 
054-203 4 50 7 38 9 1014] 
er 
  
21 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
Conversely, the fire activity presented a strong 
seasonality occurring constantly in August-October 
and February-April of the El Nifio Year 0 and Year 
| respectively (Figure 2). However, the overall 
strength of each El Nifio event related closely with 
the corresponding observed fire magnitude, 
revealing the existence of ENSO-fire link in Borneo. 
82/83 
86/87 - 
91/92 
93/94 
—— 97198 
  
T T T T T T T T T T T 
3 14 15 16 17 18 19 20 21 22 23 24 Month 
Figure 2 Active Fire Counts from AVHRR GAC data or Borneo for the 24 month period surrounding five 
individual ENSO episodes. The strong seasonality of fire activity in Borneo is clearly depicted in all five 
ENSO events, with the majority occurring in August-October of Year 0 or Year |, and February-March- 
April of Year 1. The strongest and most prolonged El Niño events (i.e. 1982-83/1997-98 and 1991-94 
respectively) were accompanied by the most extreme fire occurrence. 
Cross correlation analysis did not indicate clearly 
any precise lag time of ENSO-fire association which 
moreover is inconsistent among the five El Nifio 
events (Figure 3). Various lag times were observed 
between the five different El Niño events when 
cross correlation was applied to the 24-month 
ENSO-fire series. However, indeed there is 
undoubtedly an ENSO-fire association, which 
according to the cross correlation results, seems to 
occur somewhere between simultaneously and in 
seven months lag time. 
However, a more clear ENSO-fire relationship was 
revealed when various time composites of Niño 3 
anomaly and fire counts were evaluated. The 
strongest ENSO-fire association was observed when 
the total 16-months sum of ENSO index (Niño 3 
anomaly), from January of Year 0 to April of Year 
1, compared against the total fire activity of the 
same time period. The stepwise linear regression for 
598 
the five ENSO-fire pairs resulted a r-square equal to 
0.97 (n = 5, p < 0.001) highly significant (Figure 
3f). Consequently, the 97 per cent of the 16-months 
fire activity in the whole Borneo during the five 
studied El Niño periods could be explained by the 
16-months ENSO strength as measured by the 
SSTA in the Niño 3 region of the Pacific Ocean. 
However, Figure 2 reveals that these first sixteen 
months of each 24-months El -Niño represents the 
majority (i.e. 80.6196) of the total 10-years fire 
activity in Borneo. Therefore, if this strong ENSO- 
fire relation found in the current study remains 
consistent in the future El -Nifio events, it may be 
possible to predict in advance the all-Borneo fire 
activity based on predictions of Nifio 3 anomaly. 
Then the accuracy of the derived fire activity would 
depend primarily on the forecast precision of the 
Nifio 3 anomaly by statistical and/or dynamical- 
coupled models. 
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