Transcript Slide 1

CLIMATE INDICES
IN WEST SUMATERA
Sugeng Nugroho
Global Atmosphere Watch (GAW) Bukit Kototabang Station
Jln. Raya Bukittinggi-Medan Km.17, Palupuh, Kab. Agam, Prop. Sumatera Barat
Telp.: 0752-7446089, Fax.: 0752-7446449
e-mail: [email protected]
International Workshop on The Digitization of Historical Climate Data,
The New SACA&D Database and Climate Analysis in The Asean Region
02-05 April 2012, Citeko, Bogor, Indonesia
OUTLINE
•
•
INTRODUCTION
• Background
• Aim of study
METHODOLOGY
• Site of study
• Data
• Data analysis
• Climate extreme indices
•
RESULTS
•
SUMMARY
INTRODUCTION
Monitoring CO2 concentration in
Bukit Kototabang GAW Station
Background
One of the most significant consequences of
Aim of study
global warming due to increase in greenhouse
gases
The main
would
aim
beofan
this
increase
study is
in to
magnitude
determineand
the
frequency
annual airof
temperature
climate extreme
variations
events
and
(temperature
extreme
&rainfall
precipitation
event in
). West Sumatra by using ETCCDMI
extreme indices.
CO2 annual average concentration in Bukit
Kototabang GAW Station has been increasing
from 373.1 ppm in 2004 to 381.9 ppm in 2009
METHODOLOGY
Site of study
Study was carried
out in Teluk Bayur,
Padang and Sicincin
as representation of
lowland areas,
Padang Panjang and
Bukit Kototabang for
highland areas .
METHODOLOGY
Data
This study using daily observation
data for the last 20 years at BMKG
West Sumatera Stations
METHODOLOGY
Data Analysis
Data were analyzed by using
RClimDex 1.0 and nonparametric
statistic method (Mann-Kendal test)
to analyze the trend variation
METHODOLOGY
9 indices for extreme air temperature (TXx, TNx,
TXn, TNn, TN10p, TX10p, TN90p, TX90p and
Climate Extreme Indices
DTR)
Using 18 extreme indices from ETCCDMI (Expert
Team were
for Climate
Change
Detection
Monitoring
9 indices
used for
extreme
rainfall event
(RX1D,
andSDII,
Indices).
RX5D,
R125,CDD, CWD, R95p, R99p and PrcpTOT)
RESULTS
Extreme Temperature Indices
Allsite
siteshow
showpositive
negativetrend
trend
All
forTX90p
TX10p(warm
(cool days)
for
days)index
index
RESULTS
Extreme Rainfall Event Indices
All
All site
site show
show positive
positive trend
trend
for
RX5D
R99p
(extremely
(max
dailywet
prec
for SDII
RX1D(simple
(max 5-day
1-day
prec
amount)
days)
intensity
amount) index)
SUMMARY
1. Result showed that generally the observed areas indicated
positive trends for extreme rainfall event indices
2. Extreme air temperature index, positive trends were mostly
observed on TXx, TNx, TXn, TNn, TN90p and TX90p indices,
whereas negative trends were found on TN10p and TX10p
indices
3. Statistical analysis showed not all of trend variations were
significant at 95% of convidence level
4. Result suggested that there is no difference between lowlands
and highlands in terms of extreme climate condition in West
Sumatra.
Terimakasih