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
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Norwegian Meteorological Institute 2
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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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Norwegian Meteorological Institute
Challenges with the methods
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HOMER
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Norwegian Meteorological Institute
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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Norwegian Meteorological Institute
Methods
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Norwegian Meteorological Institute
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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Norwegian Meteorological Institute
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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Norwegian Meteorological Institute
What causes the breaks?
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1924
1950
1969
2011
1982
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Norwegian Meteorological Institute
From manual to automatic WS
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
New buildings
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Norwegian Meteorological Institute
Vegetation grows
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Results of the homogenization
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Norwegian Meteorological Institute
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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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
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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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Norwegian Meteorological Institute
TRONDHEIM
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
Bergen
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FLORIDA
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
Kristiansand
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
What happen in 1988?
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Norwegian Meteorological Institute
What happen in 1988?
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Norwegian Meteorological Institute
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Norwegian Meteorological Institute
The adjustment
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Norwegian Meteorological Institute
Precipitation: RHtestsV4
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Norwegian Meteorological Institute
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Fokstua
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Norwegian Meteorological Institute
Takle
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Norwegian Meteorological Institute
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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Norwegian Meteorological Institute
+47 22 96 31 69
@nile_2011
T.
E.
Twitter.
Thanks for your attention!
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Norwegian Meteorological Institute