Meteorological stations within the system

The second version of the irrigation

advisory system on the Internet

Sándor Szalai

Hungarian Meteorological Service

Országos Meteorológiai Szolgálat


Existing infrastructure

• Automat measuring network

• Data base management software

• Internet home page


Main characteristics of the advisorysystem

• Works automatically

• quasi real-time information

• Interactive operation

• The possibility of the use of own measurements


Main elements of the advisorysystem (1)

• Precipitation

• Evaporation (Penman-Monteith)

• Climatological water deficit

• Water demande of different plants– For all plants (irrigation)

– Constants depending on the phenological stage


Main elements of the advisory system(2)

Other characteristics:• Hygrophysical features of the soil• Irrigation methods• Others

– Irrigation depending on the surface cover– Characteristics of the basic plants– etc.


The importance of the irrigation(1)

• Under- and overirrigation

• Yield security

- qualitative

- quantitative requirements

• Environmental importance (energy, salinization, etc.)


The importance of the irrigation(2)

• Growing drought tendency• Irregularity of the precipitation

distribution- in space- in time

Joining to EU: changing subvention systems

Meteorological stations within the system

Annual precipitation sum

Long time series of annual precipitation sum in SE of Hungary

Tendency of the PDSI on the South part of Hungary

-6-4-202468

Évek

Apple model (early ripen)

Korai érésű almatermésű modell

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Fejlődési szakasz

Pá

rolg

ás

i eg

yü

tth

ató

Apple model (late ripen)

Későn érő almatermésüek modellje

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Fejlődési szakasz

Pár

olgá

si e

gyüt

that

ó

Model of stone fruits

Csonthéjasok - modell

0

0.2

0.4

0.6

0.8

1

1.2

1.4

5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Fejlődési szakasz

Pár

olg

ási e

gyü

tth

ató

Mag keményedés

Root depth and available water (1)

Sárgarépa

20 20

30 30 30 30 30 30 30 3030 30 30

40 40 40 40 40 40 40

0

5

10

15

20

25

30

35

40

45

10 20 30 40 50 60 70 80 90 100

Fejlődési szakasz

Gyö

kérm

élys

ég c

m R

end

elke

zsre

álló

ví

z fe

lhas

znál

hat

ó %

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Kc

- P

áro

lgás

i eg

yütt

hat

ó

Gyökér cm Rendelkezésre álló víz % Növény Kc

Root depth and available water (2)

Csemegekukorica

30

60 60 60 60 60 60 60 60 60

30

40 40 40 40 40 40 40 40 40

0

10

20

30

40

50

60

70

10 20 30 40 50 60 70 80 90 100

Fejlődési szakasz

Gyö

kérm

élys

ég c

m

Ren

del

kezé

sre

álló

víz

fel

has

znál

hat

ó%

0

0.2

0.4

0.6

0.8

1

1.2

Kc

- P

áro

lgás

i eg

yütt

hat

ó

Gyökér cm Víz % Növény Kc

Influence of cultivation and irrigation method

A talajművelés és az öntözőberendezés hatása a visszajuttatandó vizmennyiségre Almatermésüek modellje

0,00

0,20

0,40

0,60

0,80

1,00

1,20

1,40

10 20 30 40 50 60 70 80 90 100Fejlődési szakasz %

Pár

olgá

si e

gyüt

that

ó

Esőszerű öntözés zöld borítás Esőszerű öntözés talajművelt Csepepgtető öntözés

Address

• //kanna1.met.hu

First page

Catégories ForecastProbabilistic Forecast

Catégories Forecast• How to define the categories?

– Number– Categories Limits– Needs of user?

• How to evaluate the forecasted probabilities for each category?– Frequency/Probability , Climatological Probabilities,

Conditionnal probabilities, Confidence Indice– Statistical Models– Numerical Models

• How to transform the forecast in « readable and comprehensive » form for the user?

Seasonnal Forecasting Process in Africa - RCOF (1)

• Dissemination– Dissemination of products by the NMHS, and interpretation to the

benefit of users including national adaptation of regional products.

• Update of the forecasts (Monthly base) :– Continuous adaptation of the forecasts to the last available information

on the climate system and its evolutions (notably update of the SST).

• Evaluation of Forecasts :– Quality of rainfall forecasts (technical evaluation) and use of the

Forecasts (Users’ point of view evaluation – interest and value).

Predictability

• Actors and Associated Scales

Thank you for your attention

!

www.cred.be

The informatical system of HMS

www.knmi.nl/samenw/eca/






Caribbean workshop, Jamaica 2001 (Peterson et al., 2002, JGR)

Long time series of annual precipitation sum in SE of Hungary

Magyarországi aszálytendenciák

--- xxo oo- ------ --- --- ------ --- -o- ---

oox Xxx oxo xox-x- o-- ox- ----o- --- --- ---

-ox oo- ooo ------ --- -ox ------ --- --- ---

--- --- --- ------ --- o-- ------ --- --- ---

--o --- --- ------ --- --- ------ --- --- --o

xxx xXx xxX XXXoxo oxx x-x xxx-oo oo- -x- ---

--- -o- --- ------ --- --- ------ --- --- ---

xox -xx -x- xxx-xx o-- --- ------ --- --- ---

XXX XXX XXX XXXXXX XXX XXX XXXxXX xxX xxx XXX

XXX XXX Xxx XxXXxx xox xxx XXoo-- --- oxx xxx

xxo xxx xox XxXxxX xxx xoo xxx--- --- xXx xxx

o-- -oo --- xXxXx- -oo x-- -xo--- --- --- o--

x-o --- --- xxX-x- --- --- ------ --- --- ---

1 s t lin e2 n d lin e 3 rd lin e

: P D S I< -2: P D S I< -3: P D S I< -4

Xxo-

====

1 % sig n . le v e l5 % sig n . le v e l

1 0 % s ig n . le v e lN o n s ig n if ic a n t

Csapadékmennyiség, KECSKEMÉT

0

10

20

30

40

50

60

70

80

90

100

1 16 31 46 61 76 91 106 121 136 151 166 181

napok száma 03.31. után

mm


Potenciális párolgás, KECSKEMÉT

0

1

2

3

4

5

6

7

8

9

10

1 16 31 46 61 76 91 106 121 136 151 166 181


mm


Éghajlati vízhiány, KECSKEMÉT

-50

0

50

100

150

200

250

300

350

400

450

500

1 16 31 46 61 76 91 106 121 136 151 166 181


mm


Documents

Meteorological stations within the system