a daily homogenized temperature and precipitation data set ......norwegian meteorological institute...

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A daily homogenized

temperature and precipitation

data set for Norway Elin Lundstad & Ole Einar Tveito

Norwegian Meteorological Institute

29.10.2015

Norwegian Meteorological Institute 2

Norwegian Meteorological Institute

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Norwegian Meteorological Institute

Objectives

Establish a quality assurance tools to identify and adjust for homogeneity violation

Producing homogenized daily values of temperature and precipitation for a number of long climate series.

Develop methodology to generate "homogenized" daily values of precipitation and temperature for given locations / catchments based on gridded (1x1 km) map.

Facilitate homogenized daily values and analysis for homogenization so that it is available to external users, such as Statkraft.

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Challenges with the methods

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HOMER

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What is new?

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· Former homogenization of monthly values

· Mostly temperature data of some stations

· Now homogenization of daily data

- and all the precipitation stations

· New methods and programs:

- SNHT HOMER, MASH, SPLIDHOM, RHtest

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Methods

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Locations/Network

Network Breaks

Temperature

· 7 stations @Tromsø 1

· 7 @ Trondheim 7

· 12 @ Bergen 3

· 10 @ Kristiansand 3

· 10 @ Oslo 3 or 4?

Precipitation

· 1 @ Bardufoss 0

· Mo i Rana 0

· Fokstua 8

· Takle 1

· Sauda 0

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Challenges

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Network

18700 04440 04780 04930 17150 17850 19400 19710 27450 27500

18700 1.000 0.991 0.993 0.987 0.988 0.899 0.996 0.994 0.988 0.879

04440 0.991 1.000 0.994 0.991 0.981 0.989 0.991 0.986 0.983 0.954

04780 0.993 0.994 1.000 0.993 0.984 0.991 0.991 0.989 0.985 0.960

04930 0.987 0.991 0.993 1.000 0.986 0.991 0.986 0.980 0.984 0.954

17150 0.988 0.981 0.984 0.986 1.000 0.995 0.986 0.983 0.994 0.977

17850 0.899 0.989 0.991 0.991 0.995 1.000 0.992 0.988 0.993 0.972

19400 0.996 0.991 0.991 0.986 0.986 0.992 1.000 0.991 0.986 0.967

19710 0.994 0.986 0.989 0.980 0.983 0.988 0.991 1.000 0.986 0.973

27450 0.988 0.983 0.985 0.984 0.994 0.993 0.986 0.986 1.000 0.976

27500 0.879 0.954 0.960 0.954 0.977 0.972 0.967 0.973 0.976 1.000

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What causes the breaks?

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1924

1950

1969

2011

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From manual to automatic WS

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New buildings

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Vegetation grows

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Results of the homogenization

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Code for intepretation of breaks -

Metadata

A = Change from manuel to automatic station

E = Environment

H = Change of instrument height

I = Inspection

N = New instrument

O = Shift of observer

R = Relocation

S = Change of screening

? = Not confirmed

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A = Change from manuel to

automatic station

E = Environment

H = Change of instrument height

I = Inspection

N = New instrument

O = Shift of observer

R = Relocation

S = Change of screening

? = Not confirmed

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TRONDHEIM

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Bergen

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FLORIDA

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Kristiansand

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What happen in 1988?

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What happen in 1988?

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The adjustment

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Precipitation: RHtestsV4

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Fokstua

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Takle

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Experiences so far..

· For temperature, we follow the recommendations of COST HOME:

· Homer for monthly temperature

· Software: SPLIDHOM for daily temperature

· Homogeneity Software precipitation is problematic:

Seasonal challenges are not covered by "standard" applications.

We use several Homer, MASH, ....

One method of day P.T. (RHtests_dlyPrcp4 @ Wang)

Have access to other methods (MASH, ACMANT, ...) for

comparison (monthly data)

Open source can be a challenge:

· lack of standardization maintenance and repairs

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+47 22 96 31 69

elinl@met.no

@nile_2011

T.

E.

Twitter.

Thanks for your attention!

Norwegian Meteorological Institute