Difference between revisions of "Analysis of weather indicators"

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{{Scientific}}
 
{{Scientific}}
 
[[File:Example_marsop3_viewer_map.jpg‎|thumb|right|250px|Spatial analyses of average daily temperature, Difference between average over the year 2010 and long term average.]]
 
[[File:Example_marsop3_viewer_map.jpg‎|thumb|right|250px|Spatial analyses of average daily temperature, Difference between average over the year 2010 and long term average.]]
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[[File:Example_marsop3_viewer_graph.jpg‎|thumb|right|250px|Temperal analyses of average daily temperature over the year 2010 in Italy.]]
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[[File:Example_marsop3_viewer_graph.jpg‎|thumb|right|250px|Temperal analyses of average daily temperature over the year 2010 in Italy.|link=http://marswiki.jrc.ec.europa.eu/agri4castwiki/images/4/41/Quick_look_anim_rain_20101220.gif]]
 
To detect abnormal weather conditions, indicators are cumulated in time and compared with their equivalent long term average, previous year or any other year. This comparison shows if a specific period in the year of interest is more dry or wet, hot or cold etc. Extreme events such as excess of rainfall during sowing, flowering or harvest or prolonged droughts can be detected. Values can be cumulated over arbitrary periods.
 
To detect abnormal weather conditions, indicators are cumulated in time and compared with their equivalent long term average, previous year or any other year. This comparison shows if a specific period in the year of interest is more dry or wet, hot or cold etc. Extreme events such as excess of rainfall during sowing, flowering or harvest or prolonged droughts can be detected. Values can be cumulated over arbitrary periods.
  
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==Marsop3 viewers==
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==MARSOP viewers==
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The [[Software Tools#Marsop3 viewer|Marsop3 viewers]] are developed to analyse the available datasets. The analyst version has full functionality and can access all datasets. The web version serves the 'outside' world with a selection of datasets and limited functionality. The data can be analysed in spatial (maps) and temporal resolution (graps). Data are available from 1975 onwards.
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The [[Software Tools#Marsop viewer|MARSOP viewers]] are developed to analyse the available datasets. Data like temperature, rainfall, global radiation, evapotranspiration etc. can be analysed in spatial (maps) and temporal resolution (graps).  
  
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Extreme weather events that can be analysed in maps and graphs:
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Some analysis can only be done at grid level as explained below.
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Extreme weather events that can be analysed in maps (25 km climatic grid) and graphs:
 
*temperature sum (above arbitrary base temperature)
 
*temperature sum (above arbitrary base temperature)
 
*number of heat waves over arbitrary period
 
*number of heat waves over arbitrary period
 
*longest heat wave over arbitrary period
 
*longest heat wave over arbitrary period
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*number of hot days over arbitrary period (thresholds 25°C, 30°C, 35°C)
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*number of hot days over arbitrary period (thresholds 25°C, 30°C, 35°C, 40°C)
 
*number of cold days over arbitrary period (thresholds 0°C, -8°C, -10°C, -18°C, -20°C)
 
*number of cold days over arbitrary period (thresholds 0°C, -8°C, -10°C, -18°C, -20°C)
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*number of days with significant rain over arbitrary period (thresholds 5mm, 10mm, 15mm)
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*number of days with significant rain over arbitrary period (thresholds 1mm, 3mm, 5mm, 10mm, 15mm, 30mm)
  
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Extreme weather events that can be analysed in maps only:
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Extreme weather events linked to crop development that can be analysed (in grid maps only):
 
*number of heat waves around crop development stage
 
*number of heat waves around crop development stage
 
*longest heat wave around crop development stage
 
*longest heat wave around crop development stage
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*temperature around sowing
 
*temperature around sowing
  
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==Quick-looks==
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==Static maps (Quick-looks)==
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Besides creating on the fly maps of interpolated ECMWF weather using the Marsop3 viewers, the map production line delivers predefined quick-looks with full layout of the original model resolution and projection. This process is quicker than making the interpolated data available in the Marsop3 viewer.
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[[File:Quick_look_anim_rain_20101220_small.gif|frame|right|Animated Rainfall, emitted 20-dec-2010 with the forecasted precipitation of low "Petra". Petra's snow masses retarded travel in many regions of Europe before Christmas 2010. [http://marswiki.jrc.ec.europa.eu/agri4castwiki/images/4/41/Quick_look_anim_rain_20101220.gif Large animation]]]
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[[File:Quick_look_cloud_20110207_024.jpg|thumb|right|250px|Cloud coverage on 7-feb-2011.]]
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Besides creating on the fly maps of interpolated ECMWF weather using the MARSOP viewers, the map production line delivers predefined quick-looks with full layout of the original model resolution and projection. This process is quicker than making the interpolated data available in the MARSOP3 viewer.
  
 
Overview of daily (OPE and EPS model) deliveries:
 
Overview of daily (OPE and EPS model) deliveries:
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|Nr. freezing days (TempMin < 0°C) || 4 || 4 || 4 || 4
 
|Nr. freezing days (TempMin < 0°C) || 4 || 4 || 4 || 4
 
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==Additional software==
 
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[[File:Example_temporal_analyses_regional_scale.jpg‎|thumb|right|250px|Case-synthesis for the whole of France, landcover class 'arable land'.]]
 
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In order to permit the analysts to evaluate the possible influence of the meteorological conditions on the crops behavior in the best way additional simple software interfaces have been developed to analyse the data both in temporal and spatial resolution. The current interfaces are manly based on MS-Excel templates but in the close future, a new tool based on web technology will be available ([[Software Tools#Control board|Control board]]). The interfaces are connected directly to the database and permit to analyze the data both at station and at single grid cell level. The analysts (using a clickable map and defining the interested time length) can obtain graphs in which are shown the selected data and related simple statistical indicators (long-term average, standard deviation, cumulated values, absolute and relative differences, frequency, etc.). They also can have information on the extreme values presented in the database in relation to the period and station/grid selected.
 
  
 
[[Category:Weather Monitoring]]
 
[[Category:Weather Monitoring]]

Latest revision as of 17:52, 4 April 2016



Spatial analyses of average daily temperature, Difference between average over the year 2010 and long term average.
Temperal analyses of average daily temperature over the year 2010 in Italy.

To detect abnormal weather conditions, indicators are cumulated in time and compared with their equivalent long term average, previous year or any other year. This comparison shows if a specific period in the year of interest is more dry or wet, hot or cold etc. Extreme events such as excess of rainfall during sowing, flowering or harvest or prolonged droughts can be detected. Values can be cumulated over arbitrary periods.

MARSOP viewers

The MARSOP viewers are developed to analyse the available datasets. Data like temperature, rainfall, global radiation, evapotranspiration etc. can be analysed in spatial (maps) and temporal resolution (graps).

Some analysis can only be done at grid level as explained below.

Extreme weather events that can be analysed in maps (25 km climatic grid) and graphs:

  • temperature sum (above arbitrary base temperature)
  • number of heat waves over arbitrary period
  • longest heat wave over arbitrary period
  • number of hot days over arbitrary period (thresholds 25°C, 30°C, 35°C, 40°C)
  • number of cold days over arbitrary period (thresholds 0°C, -8°C, -10°C, -18°C, -20°C)
  • number of days with significant rain over arbitrary period (thresholds 1mm, 3mm, 5mm, 10mm, 15mm, 30mm)

Extreme weather events linked to crop development that can be analysed (in grid maps only):

  • number of heat waves around crop development stage
  • longest heat wave around crop development stage
  • rainfall around crop development stage
  • rainfall around sowing
  • temperature around crop development stage
  • temperature around sowing

Static maps (Quick-looks)

Animated Rainfall, emitted 20-dec-2010 with the forecasted precipitation of low "Petra". Petra's snow masses retarded travel in many regions of Europe before Christmas 2010. Large animation
Cloud coverage on 7-feb-2011.

Besides creating on the fly maps of interpolated ECMWF weather using the MARSOP viewers, the map production line delivers predefined quick-looks with full layout of the original model resolution and projection. This process is quicker than making the interpolated data available in the MARSOP3 viewer.

Overview of daily (OPE and EPS model) deliveries:

Parameter number of OPE maps number of EPS maps
Sea-level pressure 10+Animation 15+Animation
GPH 500 hPa 10+Animation 15+Animation
GPH 850 hPa 10+Animation 15+Animation
Tmin-24h 10+Animation 15+Animation
Tmax-24h 10+Animation 15+Animation
Tmean-24h 10+Animation 15+Animation
ΣRain-24h 10+Animation 15+Animation
ΣSnow-24h 10 15
ΣET0-24h 10 15
ΣCWB-24h 10 15
ΣRg-24h 10 15
Total Cloud Cover-24h 10 15
Prob Warm Anomaly +4 (850 hPa) - 15
Prob Warm Anomaly +8 (850 hPa) - 15
Prob Cold Anomaly -4 (850 hPa) - 15
Prob Cold Anomaly -8 (850 hPa) - 15
Prob Rain > 20mm - 15
Prob TempMin < 0 C - 15
Prob TempMax > 30 C - 15
ΣRain-10D 1 1
ΣSnow-10D 1 1
ΣET0-10D 1 1
ΣCWB -10D 1 1
Nr Rainy days (Rain > 1mm) 1 1
Nr Hot days (Tx > 30 C) 1 1
Nr Freezing days (Tn < 0 C) 1 1

Overview of weekly (MON model) and monthly (SEA model) deliveries:

Parameter number of MON maps number of MON lta maps number of SEA maps number of SEA lta maps
Tmin 4 4 4 4
Tmax 4 4 4 4
ΣRain 4 4 4 4
ΣSnow 4 4 4 4
ΣET0 4 4 4 4
ΣCWB 4 4 4 4
ΣRg 4 4 4 4
Probab. Warm Anomaly (+2K) 4 - 4 -
Probab. Cold Anomaly (-2K) 4 - 4 -
Probab. Of Rain > 10mm 4 - 4 -
Probab. Of Rain > 20mm 4 - 4 -
Probab. Temp <0°C 4 - 4 -
Probab. Temp >30°C 4 - 4 -
Nr. rainy days (Rain > 1mm) 4 4 4 4
Nr. hot days (TempMax > 30°C) 4 4 4 4
Nr. freezing days (TempMin < 0°C) 4 4 4 4
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