Embera ya biha
- Ewiiki
- Omwosi
- Embera ye biha
- Audio
Ebinabewo mumoni - Ewiiki - San Diego
Olwohudatu 13 Omwesi kwomunana | Olwohune 14 Omwesi kwomunana | Olwohutanu 15 Omwesi kwomunana | Olwomukaga 16 Omwesi kwomunana | Olwe juma 17 Omwesi kwomunana | Olwebarasa 18 Omwesi kwomunana | Olwohubiri 19 Omwesi kwomunana |
![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
22° 18° Awambi ohubonaha bulayi | 22° 18° Awambi ohubonaha bulayi | 21° 18° Awambi ohubonaha bulayi | 22° 17° Esyangu | 22° 18° Esyangu | 23° 18° Esyangu | 24° 19° Esyangu |
Conditions - Lero - San Diego
Ohubonehana |
![]() |
ebire ebingi 16 km / 10 mi |
Ebinabewo mumoni - Ewiiki - San Diego
Lero - Regional
Coronado | Rosarito | El Cajon | Valley Center | Wildomar | Lake Elsinore |
![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
21° 17° | 22° 16° | 28° 16° | 29° 15° | 35° 17° | 36° 17° |
Omwosi - San Diego (Updated: )
Olwe juma | Olwebarasa | Olwohubiri | Olwohudatu | Olwohune | Olwohutanu | Olwomukaga | |||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
13 Omwesi kwomunane
Ahuba homu & Awambi ohubonaha bulayi
| 14 Omwesi kwomunane
Ahuba homu & Esicuha cuha bulisiha
| 15 Omwesi kwomunane
Obunyifu & Esicuha cuha bulisiha
| 16 Omwesi kwomunane
Ahuba homu & Esyangu
| ||||||||||||||||||||||||||||||||||||||
17 Omwesi kwomunane
Ahuba homu & Esyangu
| 18 Omwesi kwomunane
Ahuba homu & Esyangu
| 19 Omwesi kwomunane
Ahuba homu & Esyangu
| 20 Omwesi kwomunane
Ahuba homu & Esyangu
| 21 Omwesi kwomunane
Ahuba homu & Awambi ohubonaha bulayi
| 22 Omwesi kwomunane
Ahuba homu & Esitundu syebire
| 23 Omwesi kwomunane
Ohubala & Esyangu
| |||||||||||||||||||||||||||||||||||
24 Omwesi kwomunane
Ohubala & Esyangu
| 25 Omwesi kwomunane
Ohubala & Esyangu
| 26 Omwesi kwomunane
Embera yomubasa | 27 Omwesi kwomunane
Embera yomubasa | 28 Omwesi kwomunane
Embera yomubasa | 29 Omwesi kwomunane
Esicuha cuha bulisiha | 30 Omwesi kwomunane
Ahafula hadidi | |||||||||||||||||||||||||||||||||||
31 Omwesi kwomunane
Embera yomubasa | 1 Omwesi kwomwenda
Embera yomubasa | 2 Omwesi kwomwenda
Embera yomubasa | 3 Omwesi kwomwenda
Esicuha cuha bulisiha | 4 Omwesi kwomwenda
Embera yomubasa | 5 Omwesi kwomwenda
Embera yomubasa | 6 Omwesi kwomwenda
Embera yomubasa | |||||||||||||||||||||||||||||||||||
7 Omwesi kwomwenda
Esicuha cuha bulisiha | 8 Omwesi kwomwenda
Embera yomubasa | 9 Omwesi kwomwenda
Embera yomubasa | 10 Omwesi kwomwenda
Esicuha cuha bulisiha | 11 Omwesi kwomwenda
Embera yomubasa | 12 Omwesi kwomwenda
Embera yomubasa | 13 Omwesi kwomwenda
Esicuha cuha bulisiha | |||||||||||||||||||||||||||||||||||
Olwe juma | Olwebarasa | Olwohubiri | Olwohudatu | Olwohune | Olwohutanu | Olwomukaga |
Embera ye biha - Charts
Embera ye biha - Data
Topic | Uniti | Omwesi kwamberi | Omwesi kwohubiri | Omwesi kwohudatu | Omwesi kwohune | Omwesi kwohutanu | Omwesi kwomukaga | Omwesi kwomusamvu | Omwesi kwomunana | Omwesi kwomwenda | Omwesi kwehumi | Omwesi kwehuminamulala | Omwesi kusembayo |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ohunyita mubanga: ohugerageranya (akatikati) 1=Asi-muno | Mubutundu hubuli emia | 55 | 52 | 45 | 45 | 52 | 59 | 67 | 72 | 74 | 68 | 62 | 61 |
Ohunyita mubanga: ohugerageranya - achuli 5=Akulumuno | Mubutundu hubuli emia | 73 | 79 | 80 | 82 | 83 | 86 | 87 | 87 | 86 | 81 | 71 | 70 |
Precipitation: endalo (akatikati) 5=Akulumuno | Endalo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Precipitation: total (akatikati) 5=Akulumuno | milimita | 102 | 178 | 178 | 102 | 127 | 102 | 102 | 76 | 51 | 51 | 152 | 152 |
Omubaso: esawa (akatikati) 5=Akulumuno | esawa | 7 | 8 | 8 | 8 | 8 | 8 | 10 | 9 | 9 | 8 | 8 | 8 |
Ohubala no bunyifu (akatikati) 5=Akulumuno | Celsius | 12 | 12 | 13 | 16 | 14 | 18 | 21 | 21 | 21 | 18 | 15 | 12 |
Ohubala no bunyifu: akulu (akatikati) 5=Akulumuno | Celsius | 18 | 18 | 18 | 21 | 20 | 23 | 22 | 27 | 26 | 24 | 21 | 19 |
Ohubala no bunyifu: akulumuno (ohuwandikibwa) 5=Akulumuno | Celsius | 31 | 34 | 39 | 43 | 39 | 41 | 41 | 39 | 44 | 42 | 38 | 32 |
Ohubala no bunyifu: asi (akatikati) 5=Akulumuno | Celsius | 6 | 7 | 7 | 11 | 9 | 13 | 15 | 16 | 15 | 12 | 9 | 6 |
Ohubala no bunyifu: asi-muno (ohuwandikibwa) 5=Akulumuno | Celsius | -2 | 0 | -1 | 6 | 1 | 8 | 10 | 10 | 9 | 1 | -1 | -2 |
Epoiti ye lume - Esidete (Akatikati) 1=Asi-muno | Celsius | 8.8 | 8 | 5.9 | 8.6 | 9.8 | 14.5 | 15.6 | 21.5 | 21 | 17.7 | 13.4 | 11.3 |
Epoiti ye lume - esiiro (Akatikati) 1=Asi-muno | Celsius | 1.5 | 3.6 | 3.8 | 8 | 6.3 | 10.7 | 12.9 | 13.8 | 12.7 | 8.8 | 4 | 0.9 |
Heat index 1=Asi-muno | Celsius | 18 | 18 | 18 | 21 | 20 | 23 | 22 | 29 | 26 | 24 | 21 | 19 |
Omuyaka: speed (akatikati) 1=Asi-muno | Beaufort | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Omuyaka: speed (akatikati) 1=Asi-muno | sipidi yo muyaka (km/h) | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 | 6-11 |
Sources
Ohuteberesa hwaholebwa nibahosesa statistical modles(kringig) ohutula mubifo bibaripotingira nibasinzira hu meta analysis eya repoti enyingi echa climate (e.g. BBC Climate, Climate Chart, Climate Temp, MSN Climate, National Oceanic and Atmospheric Administration Satellite and Information Service - Global Historical Climatology Network, Tokyo Climate Center, Weather Base, World Climate and World Weather). Ohuba ewambi hwekesa obuleyi budahibwa ohuteberesehwa Ngoti, "akulu muno" syekesa ngu olukendo luhusinzirira lwali asi ya kilimita 40 ohutula olukendo oluliwo "akulu" wekesa enkendo asi wa kilomita 60, "akatikati" wekesa enkendo echiri asi na kilomita100 , "asi" wekesa enkendo wakulu ya kilomita 150, handi asi muno wekesa enkendo echihira kilomita 150 Ohuteberesa wambi nesitiufu, ohubawambi na mazima akembera y'obwire
Enhola ye sindu
The Wet Bulb Globe Temperature (WBGT) iyiri composite temperature iehosesebwa ohwesitimatinga embera ya temperature, humidity, sipidi yo muyaka (wind chill) and solar radiation on humans. Sihosebwa nabandu bangi eri ndustrial hygienists, aberuhi nende abajasi ohudetemininga levels hu tempature chakulu Similarly, the heat index (HI) is an index that combines air temperature and relative humidity in an attempt to determine the human-perceived equivalent temperature - how hot it feels, termed the felt air or "feels like" temperature. ohubala no bunyifu bwa wet-bulb nisyo ohubala no bunyifu omundo awulira omubiri nikunyitire handi nikuli mumbewo It is the lowest temperature that can be reached by the evaporation of water only, and is a type of temperature measurement that reflects the physical properties of a system with a mixture of a gas and a vapor, usually air and water vapor. Byosi ebitebereza byaletebwa Professor Philip M. Parker, INSEAD Chair Professor of Management Science.
Glossary
Wet Bulb Global Temperature: The Wet Bulb Globe Temperature (WBGT) iyiri composite temperature iehosesebwa ohwesitimatinga embera ya temperature, humidity, sipidi yo muyaka (wind chill) and solar radiation on humans. Sihosebwa nabandu bangi eri ndustrial hygienists, aberuhi nende abajasi ohudetemininga levels hu tempature chakulu
Heat index: Similarly, the heat index (HI) is an index that combines air temperature and relative humidity in an attempt to determine the human-perceived equivalent temperature - how hot it feels, termed the felt air or "feels like" temperature.
Wet-Bulb Temperature: ohubala no bunyifu bwa wet-bulb nisyo ohubala no bunyifu omundo awulira omubiri nikunyitire handi nikuli mumbewo Tiri temperature yisembayo asi einyala yafunibwa amachi kadamuha omwosi kwongane, handi yiri eitype ya temperature empiime eyekesa properties chobonaho nemoni echa system nende ohutabula hwo gas nende vapour, ngoti omuya nende amachi kadumuha
Beaufort Index: The Beaufort scale is an empirical measure that relates wind speed to observed conditions at sea or on land. Its full name is the Beaufort wind force scale, although it is a measure of wind speed and not of force in the scientific sense.
Beaufort number | Description | Omuyaka speed | Wave obulei | Enyanja conditions | Land conditions |
---|---|---|---|---|---|
0 | Ohuwulera | < 1 km/h | 0 m | Esitererire. | Calm. Smoke rises vertically. |
< 1 mph | |||||
< 1 knot | 0 ft | ||||
< 0.3 m/s | |||||
1 | Omuya kuwewera | 1.1–5.5 km/h | 0–0.2 m | Ripples without crests. | Smoke drift indicates wind direction. Leaves and wind vanes are stationary. |
1–3 mph | |||||
1–3 knot | 0–1 ft | ||||
0.3–1.5 m/s | |||||
2 | Light breeze | 5.6–11 km/h | 0.2–0.5 m | Small wavelets. Crests of glassy appearance, not breaking | Wind felt on exposed skin. Leaves rustle. Wind vanes begin to move. |
4–7 mph | |||||
4–6 knot | 1–2 ft | ||||
1.6–3.4 m/s | |||||
3 | Omuyaka kwa okwakala | 12–19 km/h | 0.5–1 m | Large wavelets. Crests begin to break; scattered whitecaps | Leaves and small twigs constantly moving, light flags extended. |
8–12 mph | |||||
7–10 knot | 2–3.5 ft | ||||
3.5–5.4 m/s | |||||
4 | Esiyaka hunyanja esiri akahkati | 20–28 km/h | 1–2 m | Small waves with breaking crests. Fairly frequent whitecaps. | Dust and loose paper raised. Small branches begin to move. |
13–17 mph | |||||
11–16 knot | 3.5–6 ft | ||||
5.5–7.9 m/s | |||||
5 | Omuyaka moyaha | 29–38 km/h | 2–3 m | Moderate waves of some length. Many whitecaps. Small amounts of spray. | Branches of a moderate size move. Small trees in leaf begin to sway. |
18–24 mph | |||||
17–21 knot | 6–9 ft | ||||
8.0–10.7 m/s | |||||
6 | Omuyaka kwamani hunyanja | 39–49 km/h | 3–4 m | Long waves begin to form. White foam crests are very frequent. Some airborne spray is present. | Large branches in motion. Whistling heard in overhead wires. Umbrella use becomes difficult. Empty plastic bins tip over. |
25–30 mph | |||||
22–27 knot | 9–13 ft | ||||
10.8–13.8 m/s | |||||
7 | High wind, moderate gale, near gale | 50–61 km/h | 4–5.5 m | Sea heaps up. Some foam from breaking waves is blown into streaks along wind direction. {Moderate amounts of airborne spray. | Whole trees in motion. Effort needed to walk against the wind. |
31–38 mph | |||||
28–33 knot | 13–19 ft | ||||
13.9–17.1 m/s | |||||
8 | Omuyaga kwa mani, fresh gale | 62–74 km/h | 5.5–7.5 m | Moderately high waves with breaking crests forming spindrift. Well-marked streaks of foam are blown along wind direction. Considerable airborne spray. | Some twigs broken from trees. Cars veer on road. Progress on foot is seriously impeded. |
39–46 mph | |||||
34–40 knot | 18–25 ft | ||||
17.2–20.7 m/s | |||||
9 | Strong gale | 75–88 km/h | 7–10 m | High waves whose crests sometimes roll over. Dense foam is blown along wind direction. Large amounts of airborne spray may begin to reduce visibility. | Some branches break off trees, and some small trees blow over. Construction/temporary signs and barricades blow over. |
47–54 mph | |||||
41–47 knot | 23–32 ft | ||||
20.8–24.4 m/s | |||||
10 | Efula yo muyaka, whole gale | 89–102 km/h | 9–12.5 m | Very high waves with overhanging crests. Large patches of foam from wave crests give the sea a white appearance. Considerable tumbling of waves with heavy impact. Large amounts of airborne spray reduce visibility. | Trees are broken off or uprooted, structural damage likely. |
55–63 mph | |||||
48–55 knot | 29–41 ft | ||||
24.5–28.4 m/s | |||||
11 | Esiyaka esingi ebibi | 103–117 km/h | 11.5–16 m | Exceptionally high waves. Very large patches of foam, driven before the wind, cover much of the sea surface. Very large amounts of airborne spray severely reduce visibility. | Widespread vegetation and structural damage likely. |
64–73 mph | |||||
56–63 knot | 37–52 ft | ||||
28.5–32.6 m/s | |||||
12 | Hurricane force | ≥ 118 km/h | ≥ 14 m | Huge waves. Sea is completely white with foam and spray. Air is filled with driving spray, greatly reducing visibility. | Severe widespread damage to vegetation and structures. Debris and unsecured objects are hurled about. |
≥ 74 mph | |||||
≥ 64 knot | ≥ 46 ft | ||||
≥ 32.7 m/s |
Audio - San Diego
If you would like to have weather audio in your language, please contact us.
Source & Methodology
Raw input eya huteberersa echirimu muuno chihosesa satetlite nende station observation echasi. Amawulire kali updated buli edadika 15 mwa 20 kanyala ohuteberesebwa ohusinzira hu wambi nende ebifo ebibonwamu musifu esiberesebwa Obwire embisi chiri licensed chutula eri FORECA Ltd. Bahohesa ebihira obunji ebya numerical weather prediction models ohutula mu sources ende data centers, handi batusa mu chihira ohwesikibwa osinzira haba internal research ende research nende opinions chaba scientists abahira mu meteorology. Sources echenjawulo nende chihosesebwa mubifo byenjawulo, forecast lenths, parameters nende embera chenjawulo Sayi mubifo bihira obungi mu syalo sino, notereho africa, FORECA yihosesa muno ECMWF (see www.ecmwf.int) data. Forecasts endeyi (endalo 3-4 nohucha hokulu), yiriyo enhosesa ya pertial eya ECMWF Ensemble probabilistic model data. GFS data kihosesebwa mubifo bindi nende huteberesa chombi ditenistic nende ensemble. Empapula cha ECMWF chifunibwa hu: http://www.ecmwf.int/research/ifsdocs/. Ohutula eri raw numerical models, point forecast chitusibya nende proprietary methods nibahosesa ngoti statistics filtering nende observation features che hoba yenyanja nende topography ohwola hu individual point forecast ECMWF computational resolution yiri lero ngoti km ehuminamukaga handi yiri analyesed mu grid ya km ehumi na chidatu. Ohufananirisa ECMWF nende GFS hubukanibwa hu: http://www.emc.ncep.noaa.gov/gmb/STATS/html/sjl.rnmn.html, and http://www.emc.ncep.noaa.gov/gmb/STATS/html/aczd357.html. verification echindi echilomalome bwaho chiri hu: http://www.emc.ncep.noaa.gov/gmb/STATS/STATS.html.