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[

] 284

N

otes

& R

eferences

extremes during the second half of the 20th century. Geophys. Res.

Lett., 32, L20716, doi: 10.1029/2005GL023885.

8.

Zhang, X, G. C. Hegerl, F.W. Zwiers, 2005: Avoiding inhomogeneity

in percentile-based indices of temperature extremes. J. Climate, 18,

1641-1651.

9.

Zhang, X., F.W. Zwiers, G. Hegerl, 2008: The influence of data

precision on the calculation of temperature percentile indices.

International Journal of Climatology, doi: 10.1002/joc.1738.

10.

A list of classical examples of inhomogeneities in observational series

can be found at

http://cccma.seos.uvic.ca/ETCCDI/example.shtml

11.

Wang, X.L., 2008: Accounting for autocorrelation in detecting

mean-shifts in climate data series using the penalized maximal

t or F test. J. App. Meteor. Climatol., 47, 2423-2444. doi:

10.1175/2008JAMC1741.1

12.

WMO Statement to the plenary of SBSTA-27 at COP-13, Bail,

Indonesia, 03-14 December 2007.

13.

See Table 1 of Peterson and Manton, 2008, op. cit., for a list of

regional workshops.

14.

Peterson and Manton, 2008, op. cit..

Further references

-

Aguilar E. and Co-authors, 2009: Changes in temperature and

precipitation extremes in western central Africa, Guinea Conakry,

and Zimbabwe, 1955-2006, Journal of Geophysical Research, doi:

10.1029/2008JD011010.

Better climate information for a better future – climate research

1.

www.climate.go.kr

2.

Available free of charge at:

www.climate.go.kr

Climate watch – purpose and requirements

1.

IPCC, 2007: Climate Change 2007. Synthesis report. Contributions

of Working Groups I, II, and III to the Fourth Assessment Report

of the Intergovernmental Panel on Climate Change. IPCC, Geneva,

Switzerland

(www.ipcc.ch/ipccreports/assessments-reports.htm

)

2.

Ogallo, L.A. ,

P. Bessemoulin

, J.P. Céron, S. Mason, S.J. Connor,

2008:

Adapting to Climate Variability and Change: the Climate

Outlook Forum process. WMO Bulletin, Vol 57(2), 93-102

3.

Zhai, P. et al., 2005 : Guidelines on climate watches. WCDMP No.

62 , WMO-TD No. 1378 (www.wmo.int/pages/prog/wcp/wcdmp/

wcdmp_series/index_en.html)

4.

WMO (a): Annual Statements on the Status of Global Climate (www.

wmo.int/pages/prog/wcp/wcdmp/statement/wmostatement_en.html)

5.

WMO (b): El Niño update (www.wmo.int/pages/prog/wcp/wcasp/

enso_updates.html)

6.

Kousky, V. E. and R. W. Higgins, 2004: An Alert Classification

System for Monitoring and Assessment of the ENSO Cycle. Weather

and Forecasting, 22, 353–371

7.

WMO (c), 2008: Guidelines for the Designation and Establishment

of Regional Climate Centres (www.wmo.int/pages/prog/

www/DPFS/Meetings/ICT-DPFS_Montreal2008/documents/

GuidanceEstablishmentDesignationWMORCCs.pdf)

glacier reaction in the Austrian eastern Alps’. Annals of Glaciology,

Vol. 31, 31-38.

Schöner W., Böhm R. 2007. ‘A statistical mass-balance model for

reconstruction of LIA ice mass for glaciers in the European Alps’.

Annals of Glaciology, Vol. 46, 161-169.

6.

Koboltschnig GR, Schoener W, Zappa M, Kroisleitner C, Holzmann

H. 2008. Runoff modelling of the glacierized alpine Upper Salzach

basin (Austria): Multi-criteria result validation. Hydrological Processes

22: 3950–3964. DOI: 10.1002/hyp.7112

7.

Ibid.

Koboltschnig GR, Schöner W, Zappa M, Holzmann H. 2007.

‘Contribution of glacier melt to stream runoff: if the climatically

extreme summer of 2003 had happened in 1979...’. Annals of

Glaciology 46: 303-308

8.

Darnhofer I, Auer I, Gaube V, Kirchengast A, Prutsch

A, Seebacher U, Vospernik S, Weigelhofer G. 2007.

ForschungsBildungsKooperationen: vom Konzept zur Umsetzung

– Transdisziplinäre Forschung mit Kindern und Jugendlichen. www.

ccp-online.org/en/aim.php

Simple indices for the monitoring of weather and climate extremes

1.

Solomon S., G.-K. Plattner, R. Knutti, and P. Friedlingstein, 2009:

Irreversible climate change due to carbon dioxide emissions, PNAS,

doi: 10.1073/pnas.0812721106.

IPCC, 2007: Climate Change 2007: The Physical Science Basis.

Contribution of Working Group I to the Fourth Assessment Report

of the Intergovernmental Panel on Climate Change [Solomon, S., D.

Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and

H.L. Miller (eds.)]. Cambridge University Press, Cambridge, UK and

New York, NY, USA, 996 pp.

2.

Zhang, X. F. W. Zwiers, and T. C. Peterson, 2008: The adaptation

imperative: is climate science read? WMO Bulletin 57(2), 103-108.

3.

Klein Tank, A. M.G., F.W. Zwiers, and X. Zhang, 2009: Guidelines

on “Analysis of extremes in a changing climate in support of informed

decisions for adaptation”, WMO.

4.

The CCl/CLIVAR/JCOMM Expert Team on Climate Change

Detection and Indices (ETCCDI, see

www.clivar.org/organization/

etccdi/etccdi.php) is jointly sponsored by the World Meteorological

Organization (WMO) Commission for Climatology (CCl), the World

Climate Research Programme (WCRP) project on Climate Variability

and Predictability (CLIVAR) and, since 2006, the Joint WMO-

Intergovernmental Oceanographic Commission (IOC) of the United

Nations Educational, Scientific and Culture Organization (UNESCO)

Technical Commission for Oceangraphy and Marie Meteorology

(JCOMM). The expert team has mandates to:

Provide international coordination and help organize collaboration

on climate change detection and indices relevant to climate change

detection

Further develop and publicize indices and indicators of climate

variability and change from the surface and sub-surface ocean to the

stratosphere

Encourage the comparison of modelled data and observations.

5.

Peterson, T.C., and M. J. Manton, 2008: Monitoring changes in

climate extremes: a tale of international collaboration, BAMS, doi:

10.1175/2008BAMS2501.1

6.

Allexander, L., and coauthors, 2006: Global observed changes

in daily climate extremes of temperature and precipitation. J.

Geophysics. Res., 111, doi: 10.1029/2005JD006290.

7.

Christidis, N., et al., 2005: Detection of changes in temperature