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Fil 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 3


  1. «Fil…» A daily homogenized temperature and precipitation data set for Norway Elin Lundstad & Ole Einar Tveito Norwegian Meteorological Institute 29.10.2015

  2. Norwegian Meteorological Institute 2

  3. Norwegian Meteorological Institute 3

  4. 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. Norwegian Meteorological Institute 5

  5. Challenges with the methods HOMER Norwegian Meteorological Institute 6

  6. What is new? · 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 Norwegian Meteorological Institute 7

  7. Methods Norwegian Meteorological Institute 8

  8. 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 Norwegian Meteorological Institute 10

  9. Challenges

  10. 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 Norwegian Meteorological Institute

  11. What causes the breaks? 2011 1969 1924 1982 Norwegian Meteorological Institute 13 1950

  12. From manual to automatic WS Norwegian Meteorological Institute 14

  13. Norwegian Meteorological Institute 15

  14. New buildings Norwegian Meteorological Institute 16

  15. Vegetation grows Norwegian Meteorological Institute 17

  16. Results of the homogenization

  17. 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 Norwegian Meteorological Institute 19

  18. Norwegian Meteorological Institute 20

  19. 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 Norwegian Meteorological Institute 21

  20. TRONDHEIM Norwegian Meteorological Institute 22

  21. Norwegian Meteorological Institute 23

  22. Bergen FLORIDA Norwegian Meteorological Institute 24

  23. Norwegian Meteorological Institute 25

  24. Norwegian Meteorological Institute 26

  25. Kristiansand Norwegian Meteorological Institute 27

  26. Norwegian Meteorological Institute 28

  27. Norwegian Meteorological Institute 29

  28. Norwegian Meteorological Institute 30

  29. What happen in 1988? Norwegian Meteorological Institute 31

  30. What happen in 1988? Norwegian Meteorological Institute 32

  31. Norwegian Meteorological Institute 33

  32. Norwegian Meteorological Institute 35

  33. The adjustment Norwegian Meteorological Institute 38

  34. Precipitation: RHtestsV4 Norwegian Meteorological Institute 40

  35. Fokstua Norwegian Meteorological Institute 41

  36. Norwegian Meteorological Institute 42

  37. Takle Norwegian Meteorological Institute 43

  38. 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 Norwegian Meteorological Institute

  39. Norwegian Meteorological Institute 45

  40. Thanks for your attention! T. +47 22 96 31 69 elinl@met.no E. @nile_2011 Twitter. Norwegian Meteorological Institute

  41. Norwegian Meteorological Institute

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