homogenization of chinese daily surface air temperatures :an update for chht1.0
DESCRIPTION
Homogenization of Chinese daily surface air temperatures :An update for CHHT1.0. Li Qingxiang , Xu Wenhui, Xiaolan Wang, and coauthors (National Meteorological Information Center, CMA, Email: [email protected] ). - PowerPoint PPT PresentationTRANSCRIPT
Homogenization of Chinese daily surface air temperatures:An update for CHHT1.0
Li Qingxiang , Xu Wenhui, Xiaolan Wang, and coauthors(National Meteorological Information Center, CMA, Email: [email protected])
Inhomogenity exits in Chinese observational historic temperature data series due to stations relocation, changes of observations, calculation daily mean values, etc. One should paid careful attention on this when using the data set, we start to detect and adjust the discontinuities from about 20 years ago.
1/3Test in daily/monthly/ annual
scales
PMT-with Ref/ daily Ref
CHHT1.0(Dec, 2006)Recent changes
Adj daily seires
Climate extreme changesMean temperature changes
User needs
Homogenization of Chinese daily surface air temperatures:An update for CHHT1.0
Li Qingxiang , Xu Wenhui, Xiaolan Wang, and coauthors(National Meteorological Information Center, CMA, Email: [email protected])
The CHHT1.0 Dataset (1951–2004) consists of monthly and daily surface observations from all national stations in mainland China. CHHT 1.0 includes mean, maximum, and minimum temperature data; assessments of data quality; and gridded versions of the three temperature variables.
2/3Test in daily/monthly/ annual
scales
PMT-with Ref/ daily Ref
CHHT1.0(Dec, 2006)Recent changes
Adj daily seires
Climate extreme changesMean temperature changes
User needs
Homogenization of Chinese daily surface air temperatures:An update for CHHT1.0
Li Qingxiang , Xu Wenhui, Xiaolan Wang, and coauthors(National Meteorological Information Center, CMA, Email: [email protected])
Using both metadata and the penalized maximum t test with the first order autocorrelation being accounted for to detect changepoints, and using the quantile-matching algorithm to adjust the data time series to diminish non-climatic changes. Station relocation was found to be the main cause for non-climatic changes, followed by station automation. 3/3
Test in daily/monthly/ annual scales
PMT-with Ref/ daily Ref
CHHT1.0(Dec, 2006)Recent changes
Adj daily seires
Climate extreme changesMean temperature changes
User needs
Release of the China Homogenized Historical Temperature (CHHT1.0) (1951-2001)
4
Chinese Surface Air Temperature series over 50 years/ 100 years and its uncertainties
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(Li and Li, 2007)
- 1. 5
- 1
- 0. 5
0
0. 5
1
1. 5
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
Statistics for Stations relocations from 1951-2010
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Stations numbers for Automatic observation starts during 2000-2010
Why update?
• Time duration : CHHT1.0, 1951-2004, now, 1951-2012• Metadata: more integrated, more density of stations;• Advances in techniques: annual, monthly to daily.(1 st generation to 2nd
generation) ;• Raw data updated : 2011 - 2012 , CMA’s special project on the basic
data, some missing, questionable data has been made up or corrected;(below)
• Requirement of data users : CHHT1.0 users, climate change researchers.
1950 1960 1970 1980 1990 2000 20100
20
40
60
80
100
120
1950 1960 1970 1980 1990 2000 20100.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Num
ber o
f sta
tions
Year
Tmax Tmin
Per
cent
age
of e
rron
eous
dat
a(%
)
Tmax Tmin
Daily series
Objective methodDaily series Monthly and annual
series
Subjective approach1.Metadata; 2.climate change; 3.comparason with different scales
Integrated
Discontinuities
metadata, discontinuities in monthly and annual series
No metadata, discontinuities in monthly and annual series
Temporal change of the discontinuities
最低气温
平均气温
Probability density function of all QM-adjustments applied to daily Tmax and Tmin time series as necessary (a-b), and of the QM-adjustments to daily Tmax and Tmin due to relocation (c-d) and automation (e-f)
Annual mean DTR (Tmax - Tmin)49% stations significant
decrease trends
-0.9 - -0.6 -0.6 - -0.3 -0.3 - -0.1 -0.1 - 0 0 - 0 .1 0.1 - 0 .3 0.3 - 0 .6 0.6 - 0 .9