Post on 29-Dec-2015
Department of MeteorologyDepartment of MeteorologyEötvös Loránd UniversityEötvös Loránd University
Budapest, HungaryBudapest, Hungary
Department of MeteorologyDepartment of MeteorologyEötvös Loránd UniversityEötvös Loránd University
Budapest, HungaryBudapest, Hungary
Judit Bartholy, Rita PongráczJudit Bartholy, Rita PongráczJudit Bartholy, Rita PongráczJudit Bartholy, Rita Pongrácz
SUBJECTIVE SYNOPTIC CLASSIFICATIONS: SUBJECTIVE SYNOPTIC CLASSIFICATIONS:
HESS-BREZOWSKY „GROSSWETTERLAGEN”,HESS-BREZOWSKY „GROSSWETTERLAGEN”,
PÉCZELY CLASSIFICATIONPÉCZELY CLASSIFICATION
SUBJECTIVE SYNOPTIC CLASSIFICATIONS: SUBJECTIVE SYNOPTIC CLASSIFICATIONS:
HESS-BREZOWSKY „GROSSWETTERLAGEN”,HESS-BREZOWSKY „GROSSWETTERLAGEN”,
PÉCZELY CLASSIFICATIONPÉCZELY CLASSIFICATION
HESS-BREZOWSKY „GROSSWETTERLAGEN”HESS-BREZOWSKY „GROSSWETTERLAGEN”
Subjective classification from Subjective classification from 19521952
available daily codes: available daily codes: 1881-2007 1881-2007
Coding by: Coding by: German Met. Service (DWD)German Met. Service (DWD)
1. Parameters used? 1. Parameters used? SLP, AT-500SLP, AT-500
2. Specific program/software available? 2. Specific program/software available? No and yesNo and yes
Reproducible? Reproducible? NoNo
3. Computer programming skill needed? 3. Computer programming skill needed? No and yesNo and yes
4. Time and computer power? 4. Time and computer power? N/AN/A
5. Number of classes? 5. Number of classes? 29+1 – possibly reduced by clustering29+1 – possibly reduced by clustering
6. Key patterns? 6. Key patterns? Subjective definitionSubjective definition
7. Distance/similarity measure? 7. Distance/similarity measure? No –No – EuclideanEuclidean
HESS-BREZOWSKY „GROSSWETTERLAGEN”HESS-BREZOWSKY „GROSSWETTERLAGEN”
Subjective classification from Subjective classification from 19521952
available daily codes: available daily codes: 1881-2007 1881-2007
Coding by: Coding by: German Met. Service (DWD)German Met. Service (DWD)
1. Parameters used? 1. Parameters used? SLP, AT-500SLP, AT-500
2. Specific program/software available? 2. Specific program/software available? No and yesNo and yes
Reproducible? Reproducible? NoNo
3. Computer programming skill needed? 3. Computer programming skill needed? No and yesNo and yes
4. Time and computer power? 4. Time and computer power? N/AN/A
5. Number of classes? 5. Number of classes? 29+1 – possibly reduced by clustering29+1 – possibly reduced by clustering
6. Key patterns? 6. Key patterns? Subjective definitionSubjective definition
7. Distance/similarity measure? 7. Distance/similarity measure? No –No – EuclideanEuclidean
Coding process of
Hess-Brezowsky
classification
Area of consideration:00 (COST733)
Target area: 07 (COST733)
07
List of Hess-Brezowsky MCP types
(29)------------------------Dominant flow:
• 4 zonal • 7 mixed
• 18 meridional------------------------C/A dominance:
• 16 cyclonic • 13 anticyclonic
Hess-Brezowsky MCP typesSeasonal and annual frequency of cyclonic and anticyclonic patterns
DJF MAM JJA SON year
Cyclonic 60% 60% 53% 53% 57%
Anticyclonic 40% 40% 47% 47% 43%
PÉCZELY MCP TYPESPÉCZELY MCP TYPES
Subjective classification from Subjective classification from 19571957
available daily codes: available daily codes: 1881-2007 1881-2007
Coding by: Coding by: György Péczely (Szeged) / Csaba Károssy (Szombathely)György Péczely (Szeged) / Csaba Károssy (Szombathely)
1. Parameters used? 1. Parameters used? SLPSLP
2. Specific program/software available? 2. Specific program/software available? No and yesNo and yes
Reproducible? Reproducible? NoNo
3. Computer programming skill needed? 3. Computer programming skill needed? No and yesNo and yes
4. Time and computer power? 4. Time and computer power? N/AN/A
5. Number of classes? 5. Number of classes? 13 – possibly reduced by clustering13 – possibly reduced by clustering
6. Key patterns? 6. Key patterns? Subjective definitionSubjective definition
7. Distance/similarity measure? 7. Distance/similarity measure? No –No – EuclideanEuclidean
PÉCZELY MCP TYPESPÉCZELY MCP TYPES
Subjective classification from Subjective classification from 19571957
available daily codes: available daily codes: 1881-2007 1881-2007
Coding by: Coding by: György Péczely (Szeged) / Csaba Károssy (Szombathely)György Péczely (Szeged) / Csaba Károssy (Szombathely)
1. Parameters used? 1. Parameters used? SLPSLP
2. Specific program/software available? 2. Specific program/software available? No and yesNo and yes
Reproducible? Reproducible? NoNo
3. Computer programming skill needed? 3. Computer programming skill needed? No and yesNo and yes
4. Time and computer power? 4. Time and computer power? N/AN/A
5. Number of classes? 5. Number of classes? 13 – possibly reduced by clustering13 – possibly reduced by clustering
6. Key patterns? 6. Key patterns? Subjective definitionSubjective definition
7. Distance/similarity measure? 7. Distance/similarity measure? No –No – EuclideanEuclidean
Coding process of Péczely
classification
Area of consideration:00 (COST733)
Target area: Carpathian basin
southern 07 and northern 10
(COST733)
07
10
List of Péczely MCP types (13)
----------------------Dominant flow:
• 5 zonal • 2 central
• 6 meridional------------------------C/A dominance:
• 6 cyclonic • 7 anticyclonic
Meridional, northern types(1) Cold front with meridional flow (mCc)(2) Anticyclone over the British Isles (AB) (3) Cold front arising from a Mediterranean cyclone (CMc)
Meridional, southern types(4) Warm front arising from a meridional cyclone (mCw) (5) Anticyclone located east of the Carpathian Basin (Ae) (6) Warm front arising from a Mediterranean cyclone (CMw)
Zonal, western types(7) Zonal cyclone (zC) (8) Anticyclone located west of the Carpathian Basin (Aw) (9) Anticyclone located south of the Carpathian Basin (As)
Zonal, eastern types(10) Anticyclone located north of the Carpathian Basin (An) (11) Anticyclone located over the Scandinavian Peninsula (AF)
Central types(12) Anticyclone located over the Carpathian Basin (A) (13) Cyclone located above the Carpathian Basin (C)
Typical sea-level pressure maps of the Péczely MCP typesSubjective classification using 13 types
Definition: Gy. Péczely - 1957
Cyclonic (mCc, CMc, mCw, CMw, zC, C) and Anticyclonic (AB, Ae, As, Aw, An, AF, A) dominance is separated(relative frequencies are 34% and 66%, resp.)
mCc AB
Ae As
Aw An AF A
CMc
CMwmCw zC
C
7%, mostly in summer 6%, more in summer 3%, more in spring
9%, more in spring
The annual mean relative frequency is determined using the 1961-1990 baseperiod
13%, more in autumn / winter
8%, more in winter / spring
4%, more in winter 5%, more in winter
16%, more in summer 12%, less in autumn 4%, more in summer 11%, more in summer / autumn
2%, more in spring / summer