temperature and precipitation data set for Norway Elin Lundstad - - PowerPoint PPT Presentation

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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

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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 · Mo i Rana · Fokstua 8 · Takle 1 · Sauda

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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 1982

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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!

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