Station | Date | Hour | Temperature [°C] | Weather | Wind speed [m/s] | Wind direction | Air pressure [hPa] |
---|---|---|---|---|---|---|---|
Novo Selo | 21.11.2024 | 11 | 6 | partly cloudy | 12 | W | 999.8 |
Vidin | 21.11.2024 | 11 | 8 | partly cloudy | 3 | W | 1003.1 |
Vratsa | 21.11.2024 | 11 | 6 | partly cloudy | 6 | NW | 970 |
Montana | 21.11.2024 | 11 | 7 | partly cloudy | 12 | W | 984.5 |
Lom | 21.11.2024 | 11 | 6 | partly cloudy | 12 | W | 1004.4 |
Oryahovo | 21.11.2024 | 11 | 6 | clear/sunny | 17 | W | 1002.4 |
Knezha | 21.11.2024 | 11 | 6 | clear/sunny | 11 | W | 991.1 |
Lovech | 21.11.2024 | 11 | 5 | mostly cloudy | 8 | W | 978.8 |
Pleven | 21.11.2024 | 11 | 5 | clear/sunny | 5 | W | 985.9 |
V. Tarnovo | 21.11.2024 | 11 | 5 | cloudy | 3 | W | 982 |
Svishtov | 21.11.2024 | 11 | 6 | mostly cloudy | 17 | W | 999.4 |
Ruse | 21.11.2024 | 11 | 6 | cloudy | 16 | W | 998.1 |
Shumen | 21.11.2024 | 11 | 4 | cloudy | 17 | SW | 975.7 |
Razgrad | 21.11.2024 | 11 | 3 | cloudy | 7 | W | 961.4 |
Silistra | 21.11.2024 | 11 | 5 | cloudy | 5 | W | 999.8 |
Silistra-NIMH | 21.11.2024 | 11 | 5 | cloudy | 5 | W | 999.7 |
Varna | 21.11.2024 | 11 | 5 | cloudy | 5 | W | 995.2 |
Shabla | 21.11.2024 | 11 | 5 | cloudy | 7 | W | 1000 |
Kaliakra | 21.11.2024 | 11 | 6 | cloudy | 15 | NW | 992.4 |
Dobrich | 21.11.2024 | 11 | 4 | cloudy | 5 | W | 978.2 |
Murgash | 21.11.2024 | 11 | -8 | fog | 10 | NW | 817 |
Kyustendil | 21.11.2024 | 11 | 4 | cloudy | 5 | NW | 945.8 |
Dragoman | 21.11.2024 | 11 | -1 | cloudy | 4 | NW | 924.7 |
Blagoevgrad | 21.11.2024 | 11 | 5 | cloudy | 3 | W | 959.5 |
Cherni Vrah | 21.11.2024 | 11 | -12 | fog | 34 | W | 753.5 |
Sofia | 21.11.2024 | 11 | 1 | cloudy | 4 | W | 937.6 |
Mussala | 21.11.2024 | 11 | -9 | snow | 24 | W | 695.9 |
Plovdiv | 21.11.2024 | 11 | 8 | cloudy | 8 | W | 986.8 |
Botev | 21.11.2024 | 11 | -9 | fog | 34 | NW | 744.9 |
Pazardzhik | 21.11.2024 | 11 | 6 | cloudy | 17 | N | 981 |
Chirpan | 21.11.2024 | 11 | 8 | cloudy | 10 | W | 982 |
Kazanlak | 21.11.2024 | 11 | 6 | cloudy | 12 | NW | 955.6 |
Stara Zagora | 21.11.2024 | 11 | 9 | cloudy | 1 | W | 983.1 |
Sliven | 21.11.2024 | 11 | 6 | cloudy | 24 | N | 970.8 |
Elhovo | 21.11.2024 | 11 | 9 | cloudy | 4 | W | 981 |
Karnobat | 21.11.2024 | 11 | 6 | cloudy | 4 | W | 980.2 |
Emine | 21.11.2024 | 11 | 7 | cloudy | 5 | W | 994.4 |
Burgas | 21.11.2024 | 11 | 8 | recent rain | 10 | NW | 998.3 |
Sandanski | 21.11.2024 | 11 | 7 | cloudy | 8 | W | 981.6 |
Gotse Delchev | 21.11.2024 | 11 | 10 | cloudy | 5 | NE | 933.5 |
Rozhen | 21.11.2024 | 11 | 3 | cloudy | 2 | NW | 811.4 |
Kurdzhali | 21.11.2024 | 11 | 10 | cloudy | 4 | N | 962.4 |
Haskovo | 21.11.2024 | 11 | 7 | rain | 12 | NW | 974.3 |
Symbol | Weather | Symbol | Weather | Symbol | Weather | Wind—Symbol | m/s | km/h | Knots |
clear/sunny | recent drizzle | heavy drizzle | 0 | 0 | 0 | ||||
partly cloudy | drizzle and rain; recent rain; slight rain shower(s); | moderate rain; | 2 | 7 | 3 | ||||
mostly cloudy | recent snow; light snow; snow or crystals | moderate rain; moderate rain shower(s); | 3,5 | 12 | 7 | ||||
visibility reduced by smoke,dust or sand;dust or sand whirl(s);mist; | rain and snow | heavy rain | 5 | 18 | 12 | ||||
duststorm or sandstorm; thick fog; | freezing drizzle/rain | violent rain shower(s) | 8 | 28 | 17 | ||||
haze; shallow fog; | recent snow shower;light snow; | rain and snow | 10 | 36 | 22 | ||||
lightening(s) | recent hail; sleet; hail; | heavy snow; snow shower(s) | 15 | 55 | 32 | ||||
rain shower, not falling; cloudy | blowing snow; moderate snow; snow shower(s); | diamond dust,sleet | 25 | 90 | 52 | ||||
shower near the station | light or dissipating fog; | heavy rain and snow | 30 | 110 | 62 | ||||
squall(s); tornado; recent thunder; | light or moderate drizzle; | hailstorm | 50 | 180 | 102 |
The scale is in Kelvin, dublicated in °C.:
Thick high-level clouds | |
Thick mid-level clouds | |
Jet stream, high Potential Vorticity (PV) | |
Cold airmass | |
Warm airmass – high tropopause | |
Warm airmass – low tropopause |
EUMETSAT is the European intergovernmental satellite organisation for monitoring weather, climate and the environment.
EUMETSAT operates and develops the European system of meteorological satellites monitoring the atmosphere and ocean and land surfaces which deliver weather and climate-related satellite data, images and products – 24 hours a day, 365 days a year. This information is supplied to the National Meteorological Services of the organisation's Member and Cooperating States (in Bulgaria—NIMH) as well as other users worldwide.
Bulgaria is a Cooperating State EUMETSAT since May 25, 2005.
24-hour precipitation sum analysis since 8 h local time on 27.06.2023 until 8 h on 28.06.2023, using ALADIN numerical model and measured data from NIMH stations. It is calculated once daily about 12 o'clock. It is produced automatically and may sometimes contain inaccurate data that is corrected later.
Snow depth from NIMH stations at 7h 30min on the date, given on the map. Calculated once a day at about noon. Left scale — snow depth in centimeters. Right scale — altitude in meters for places without snow.
Notice: This is an operational map and is only suitable as a guide to the general state of snow cover in the country. It contains inherent imperfections as a result of modelling methods and operational data transmission.
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LegendThe table gives data on the amount of precipitation in "lines" (tenths of a millimeter or tenths of a liter per square meter) in the left column, on the type of precipitation - in the middle column, and on the presence of snow cover and its height (in centimeters) – in the right column. When there is no number in the left data column, there is no precipitation. Climate stations report precipitation data every day. In case there is no information for a given date, n.a. is written in the middle column. Since 2021, the network of rain gauge stations at NIMH has been equipped with automated devices for real-time rainfall measurement, but the rain gauge stations continue to provide operational information of the 24-hour rainfall amount in the classic way once a day. Traditionally, it is only reported for days with measured precipitation ≥ 0.5 mm, but it is possible to have days with information for precipitation < 0.5 mm, and this is not wrong. For these stations, it is possible that there are days when there is precipitation, but no information is reported. For this type of station, an empty field means that no information has been received for the corresponding date. Also for this type of station information n.a. in all three columns means that wrong information has been received for that date and has been corrected.
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Note 1: Data are operational. Errors are possible. To be used for decision making only after consultation with the weather forecaster on duty. Note 2: At Moussala - a mountain station - snow cover is not measured. |
UTC - Summer daylight saving time in Bulgaria is UTC+3, in Winter the local time is UTC+2
The system LEELA (Lightning Electromagnetic Emission Location by Arrival time difference) LEELA (Lightning Electromagnetic Emission Location by Arrival time difference) of the British Met Office is the new automatic lightning detection network. It consists of ten sensors deployed across Europe to determine the location and timing of recorded lightnings.
The maps are based on an operational objective analysis of data from the NIMH synoptic stations.
Note: Data are operational. Errors are possible. To be used for decision making only after consultation with the weather forecaster on duty.
The data are from the last observation in the Bulgarian weather stations.
Time in Bulgaria is UTC+2 h in Winter and UTC+3 h in Summer.
Station | Air temperature at 2 m height [°C] | Relative humidity [%] | Wind-speed [m/s] | Clouds [tenths] | Ground surface temperature [°C] |
---|---|---|---|---|---|
Novo Selo | 3.6 | 73 | 17. | 4. | 3.1 |
Vidin | 3.1 | 76 | 4. | 6. | 1.9 |
Vratsa | 3.5 | 74 | 3. | 7. | 2.1 |
Montana | 3.7 | 72 | 3. | 6. | 2.0 |
Lom | 4.0 | 69 | 17. | 8. | 3.6 |
Oryahovo | 3.8 | 67 | 17. | 5. | 3.3 |
Knezha | 3.2 | 73 | 9. | 6. | 2.5 |
Lovech | 2.1 | 86 | 4. | 8. | 1.5 |
Pleven | 2.9 | 83 | 4. | 6. | 1.9 |
V. Tarnovo | 2.8 | 86 | 2. | 8. | 1.8 |
Svishtov | 4.1 | 82 | 17. | 6. | 3.8 |
Ruse | 3.4 | 88 | 14. | 9. | 3.3 |
Shumen | 3.2 | 88 | 12. | 10. | 3.2 |
Razgrad | 0.7 | 96 | 7. | 10. | 0.7 |
Silistra | 5.2 | 95 | 7. | 7. | 4.8 |
Silistra-NIMH | 5.0 | 87 | 12. | 10. | 5.0 |
Varna | 6.4 | 90 | 5. | 10. | 6.4 |
Shabla | 9.6 | 86 | 9. | 10. | 9.5 |
Kaliakra | 9.8 | 83 | 12. | 10. | 9.7 |
Dobrich | 6.2 | 87 | 3. | 10. | 6.1 |
Murgash | -7.1 | 91 | 8. | 10. | -7.4 |
Kyustendil | 2.3 | 81 | 2. | 8. | 0.9 |
Dragoman | -1.8 | 92 | 4. | 9. | -2.3 |
Blagoevgrad | 3.1 | 85 | 2. | 8. | 1.8 |
Cherni Vrah | -10.2 | 90 | 34. | 10. | -10.3 |
Sofia | 0.4 | 87 | 2. | 7. | -1.0 |
Mussala | -6.4 | 97 | 24. | 8. | -6.7 |
Plovdiv | 5.8 | 74 | 12. | 8. | 5.4 |
Botev | -5.8 | 97 | 34. | 10. | -5.9 |
Pazardzhik | 4.5 | 59 | 15. | 8. | 4.1 |
Chirpan | 6.1 | 81 | 12. | 9. | 5.9 |
Stara Zagora | 9.2 | 85 | 2. | 9. | 8.4 |
Sliven | 7.8 | 87 | 24. | 10. | 7.8 |
Elhovo | 14.3 | 65 | 6. | 10. | 13.9 |
Karnobat | 6.7 | 88 | 3. | 10. | 6.6 |
Emine | 14.4 | 72 | 10. | 10. | 14.2 |
Burgas | 18.4 | 68 | 12. | 9. | 18.1 |
Ahtopol | 19.6 | 58 | 7. | 4. | 18.8 |
Sandanski | 6.6 | 75 | 8. | 6. | 5.9 |
Gotse Delchev | 13.2 | 49 | 12. | 5. | 12.4 |
Rozhen | 4.4 | 93 | 2. | 7. | 2.8 |
Kurdzhali | 9.8 | 87 | 6. | 9. | 9.5 |
Haskovo | 7.8 | 62 | 7. | 10. | 7.4 |
The ground surface temperature (also called “skin” temperature) is calculated for a grassy horizontal, flat ground surface outdoors with no horizon limitation. This is the temperature of the upper effective boundary of the grass or the exposed surface of the snow cover, if any. It is assumed that the grass surface is maintained in accordance with the recommendations of the World Meteorological Organization for the arrangement of a park for conducting meteorological measurements. It should be mowed at a height of several centimeters above the soil surface.
The temperature at a height of 5 cm above the soil surface is the closest temperature measured at a standard level to correspond to the temperature of the grassed ground surface.
The “skin” temperature is determined with a numerical thermal balance model constructed to use standard data of meteorological parameters: temperature and relative humidity of the air at a height of 2 m, wind speed at 10 m, amount of cloudiness, geographical location, date and time for solar radiation.
The sunlit land surface temperature can be much higher than the air temperature at 2 m, while the nighttime land surface temperature can be much lower in cloudless, dry and calm weather.
Степен на риск/ Hazard | Описание на български | Description in English |
Малък Low | Съществуващи пожари се самозагасяват и е малко вероятно да възникват нови. Жизнени пожари са възможни само като тлеене в дълбоки сухи слоеве. | Fires likely to be self-extinguishing and new ignitions unlikely. Any existing fires limited to smoldering in deep, drier layers. |
Умерен Moderate | Възможни са леки и бавно развиващи се пожари. Съществуващи пожари се гасят лесно от наземни екипи с помпи и ръчни инструменти. | Creeping or gentle surface fires. Fires easily contained by ground crews with pumps and hand tools. |
Голям High | Възможни са умерени до силни пожари с въвличане на дървесни корони само локално. Пожарите са трудни за овладяване от наземни екипи. Често се налага използване на тежка екипировка за овладяване на пожарите (булдозери, камиони-цистерни, самолети). | Moderate to vigorous surface fire with intermittent crown involvement. Challenging for ground crews to handle; heavy equipment (bulldozers, tanker trucks, aircraft) often required to contain fire. |
Много голям Very High | Възможни са много силни пожари с частично или пълно въвличане на дървесните корони. Предните фронтове на пожарите е невъзможно да бъдат овладени от наземни екипи. Налагат се въздушни атаки със забавящ агент (retardant), за да се атакуват успешно предните фронтове на пожарите. | High-intensity fire with partial to full crown involvement. Head fire conditions beyond the ability of ground crews; air attack with retardant required to effectively attack fire's head. |
Екстремален Extreme | Възможни са бързо разпространяващи се много силни пожари с въвличане на дървесните корони. Пожарите са трудни за овладяване. Действията по погасяване се ограничени само по фланговете на пожара. Възможни са само индиректни действия, насочени срещу предните фронтове на пожарите. | Fast-spreading, high-intensity crown fire. Very difficult to control. Suppression actions limited to flanks, with only indirect actions possible against the fire's head. |
Не се пресмята (сняг) (Snow) | Не се извършват изчисления за този район. (Наличие на снежна покривка). | No calculations were performed for this region. |
Източник: Canadian Forest Service (http://cfs.nrcan.gc.ca/)
The system is operational since April,2008 during the warm months (April-October)The Canadian Fire Weather Index, FWI, developed in the Canadian Forest Service Research Center is used.
FWI has three sub-indices showing the "dryness" of different types of "fuel". Each of these sub-idices is a complex function of the meteo-elements. Knowing the sub-indices and wind velocity data, two other sub indices are calculated, which evaluate the initial fire kindling and the available "fuel" for the further unfolding of the fire. On their basis the FWI in calculated and it gives an overall assessment of the intensity of fire unfolding (in energy released per unit time per unit length along the fire front line).
The maps are based on an operational objective analysis of data from the NIMH synoptic stations.
Note: Data are operational. Errors are possible. To be used for decision making only after consultation with the weather forecaster on duty.
The data are from the last observation in the Bulgarian weather stations.
Time in Bulgaria is UTC+2 h in Winter and UTC+3 h in Summer.
Station | Measured | Calculated | |||||
---|---|---|---|---|---|---|---|
Temperature [°C] | Relative humidity [%] | Wind speed [m/s] | Clouds [tenths] | Feels like temperature [°C] | Comfort index | Proposed clothing | |
Novo Selo | 3.6 | 73 | 17. | 4. | -5.6 | 6 | 1.81 |
Vidin | 3.1 | 76 | 4. | 6. | -4.8 | 6 | 1.76 |
Vratsa | 3.5 | 74 | 3. | 7. | -3.0 | 6 | 1.67 |
Montana | 3.7 | 72 | 3. | 6. | -3.0 | 6 | 1.67 |
Lom | 4.0 | 69 | 17. | 8. | -4.7 | 6 | 1.76 |
Oryahovo | 3.8 | 67 | 17. | 5. | -5.3 | 6 | 1.79 |
Knezha | 3.2 | 73 | 9. | 6. | -5.4 | 6 | 1.80 |
Lovech | 2.1 | 86 | 4. | 8. | -5.4 | 6 | 1.80 |
Pleven | 2.9 | 83 | 4. | 6. | -4.7 | 6 | 1.76 |
V. Tarnovo | 2.8 | 86 | 2. | 8. | -1.7 | 6 | 1.60 |
Svishtov | 4.1 | 82 | 17. | 6. | -4.3 | 6 | 1.74 |
Ruse | 3.4 | 88 | 14. | 9. | -4.7 | 6 | 1.76 |
Shumen | 3.2 | 88 | 12. | 10. | -4.6 | 6 | 1.76 |
Razgrad | 0.7 | 96 | 7. | 10. | -7.5 | 6 | 1.91 |
Silistra | 5.2 | 95 | 7. | 7. | -1.4 | 6 | 1.59 |
Silistra-NIMH | 5.0 | 87 | 12. | 10. | -1.9 | 6 | 1.62 |
Varna | 6.4 | 90 | 5. | 10. | 1.4 | 7 | 1.44 |
Shabla | 9.6 | 86 | 9. | 10. | 4.5 | 7 | 1.28 |
Kaliakra | 9.8 | 83 | 12. | 10. | 4.5 | 7 | 1.28 |
Dobrich | 6.2 | 87 | 3. | 10. | 1.7 | 7 | 1.43 |
Murgash | -7.1 | 91 | 8. | 10. | -19.4 | 4 | 2.53 |
Kyustendil | 2.3 | 81 | 2. | 8. | -2.8 | 6 | 1.66 |
Dragoman | -1.8 | 92 | 4. | 9. | -10.8 | 5 | 2.08 |
Blagoevgrad | 3.1 | 85 | 2. | 8. | -1.5 | 6 | 1.59 |
Cherni Vrah | -10.2 | 90 | 34. | 10. | -25.7 | 4 | 2.86 |
Sofia | 0.4 | 87 | 2. | 7. | -5.4 | 6 | 1.80 |
Mussala | -6.4 | 97 | 24. | 8. | -19.8 | 4 | 2.55 |
Plovdiv | 5.8 | 74 | 12. | 8. | -1.4 | 6 | 1.59 |
Botev | -5.8 | 97 | 34. | 10. | -19.0 | 4 | 2.51 |
Pazardzhik | 4.5 | 59 | 15. | 8. | -4.0 | 6 | 1.72 |
Chirpan | 6.1 | 81 | 12. | 9. | -0.6 | 6 | 1.55 |
Stara Zagora | 9.2 | 85 | 2. | 9. | 6.1 | 7 | 1.19 |
Sliven | 7.8 | 87 | 24. | 10. | 1.8 | 7 | 1.42 |
Elhovo | 14.3 | 65 | 6. | 10. | 8.6 | 7 | 1.07 |
Karnobat | 6.7 | 88 | 3. | 10. | 2.4 | 7 | 1.39 |
Emine | 14.4 | 72 | 10. | 10. | 8.6 | 7 | 1.07 |
Burgas | 18.4 | 68 | 12. | 9. | 11.8 | 8 | 0.90 |
Ahtopol | 19.6 | 58 | 7. | 4. | 13.0 | 8 | 0.83 |
Sandanski | 6.6 | 75 | 8. | 6. | -0.2 | 6 | 1.52 |
Gotse Delchev | 13.2 | 49 | 12. | 5. | 6.1 | 7 | 1.19 |
Rozhen | 4.4 | 93 | 2. | 7. | 0.5 | 7 | 1.49 |
Kurdzhali | 9.8 | 87 | 6. | 9. | 4.9 | 7 | 1.26 |
Haskovo | 7.8 | 62 | 7. | 10. | 2.1 | 7 | 1.40 |
The proposed maps show the current or expected feeling of thermal comfort/discomfort of the majority of people. The maps refer to a standard time of day, which corresponds to the classical observation periods at weather stations. For example, 12 UTC (Coordinated Universal Time) corresponds to 14:00 Bulgarian time (15:00 summer time), which is usually close to the warmest hours of the day, and 03 UTC corresponds to 05:00 Bulgarian time (06:00 summer weather) which is usually close to the coldest hours of the day.
The table shows the degrees of thermal comfort/discomfort. The categories of comfortable, warm and hot are defined on the basis of the degrees of physiological stress to which the human thermoregulatory system is subjected in the different temperature conditions according to the feels like temperature. The categories for cold are according to the Wind Chill Index.
Thermal comfort class | From feels like temperature, °С | To feels like temperature, °С | Grade in colour | Thermal sensation of comfort or discomfort | Description | Level of clothing |
13 | 44 | - | Extreme heat | Substantial risk of thermal shock in prolonged work/stay outdoors. | 0.4 | |
12 | 38 | 44 | Very hot | The mechanism of self-cooling by sweating is hindered. | 0.4 | |
11 | 32 | 38 | Hot | Almost the whole body is covered in sweat. | 0.4 | |
10 | 26 | 32 | Very warm | A big part of the body is covered with sweat. | 0.4 | |
9 | 20 | 26 | Warm | Sweating has started. A small part of the body is covered with sweat. | 0.5-0.4 | |
8 | 10 | 20 | Comfortable | Sensation of thermal comfort with suitable clothing | 1.0-0.5 | |
7 | 0 | 10 | Cool | Thermal comfort can be achieved with suitable clothing, but there is slight discomfort in the cold side on exposed parts of the body. | 1.5-1.0 | |
6 | -10 | 0 | Cold | Goosebumps start. | 2.0-1.5 | |
5 | -18 | -10 | Very cold | Shivering starts. | 2.4-2.0 | |
4 | -27 | -18 | Possible frost bite | Possible frost bite of bare skin | 2.9-2.4 | |
3 | -35 | -27 | Frost bite of bare skin | Frost bite of bare skin within 30 min of exposure | 3.3-2.9 | |
2 | -47 | -35 | Rapid frost bite of bare skin | Frost bite of bare skin within 10 min of exposure | 3.9-3.3 | |
1 | - | -47 | Dangerously rapid frost bite | Dangerously rapid frost bite with 5 min of exposure | 4.0 |
Recommended clothing ensemble | Clothing index |
---|---|
Nude | 0 |
Shorts | 0.1 |
Shorts, open-neck shirt with short sleeves, sandals | 0.35 |
Long light-weight trousers, open-neck shirt with short sleeves, open shoes | 0.5 |
Long trousers, open-neck cotton work shirt with long sleeves, shoes | 0.7 |
Long trousers, cotton work shirt with long sleeves, shoes, and a light jacket | 0.9 |
Typical business suit (long trousers, cotton work shirt with long sleeves, vest, shoes, and a jacket) | 1.0 |
Typical business suit and a cotton coat | 1.5 |
Long resistant trousers, woolen flannel shirt, woolen socks, shoes, wind and water resistant jacket and vest, a hat and gloves | 1.5-2.0 |
Polar weather suit with hood, warmth-keeping shoes, a hat covering the ears, strong isolating gloves | 3.0-4.0 |
Felt temperature is air temperature in a reference atmospheric environment where a person's sense of thermal comfort/discomfort would be the same as in real weather conditions. The feeling of thermal comfort is calculated using a full numerical model of thermal balance of the body of a "standard" human placed in atmospheric conditions near ground, outdoors, on grass or snow cover, if available. The feeling of thermal comfort/discomfort depends on the morphological parameters of the person - age, sex, height, weight and others, but for general purposes, the parameters of a "standard" person are used here. This is a 35-year-old man, 1.75 m tall, weighing 75 kg, in good health. The felt temperature depends on the work performed by the person and can be calculated at different power. In this case, it is assumed that the "standard" person performs work with applying the power corresponding to walking at a speed of 4 km/h on a horizontal surface. It is assumed that the wind always blows to the side of the direction of walking. The clothing is adapted (summer/winter) so that the "standard" person, if possible, achieves thermal comfort in the specific outdoor weather conditions. To determine the felt temperature, data on meteorological elements in the layer of air near the earth's surface (0–2 m), where the "standard" person is located, are used: air temperature; relative air humidity; wind speed; presence of snow cover. Also used: amount of cloud cover; geographical coordinates and altitude of the place; date and time.
A big map of SST, covering all the Mediterranean and Black Sea (4800х2700 pixels, in new windows)