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Lever et coucher de soleil Riverside Hanover Jamaïque
Weather Avenue
 
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Fil d'actualité Fil d'actualité Météo Amérique

Météo Canada
18/10 :

Météo Canada

19°C 67°F Ensoleillé

Météo Mexique
18/10 :

Météo Mexique

24°C 75°F Ensoleillé

Météo Uruguay
18/10 :

Météo Uruguay

22°C 72°F Légèrement nuageux

Météo États-Unis
18/10 :

Météo États-Unis

22°C 71°F Ensoleillé

Météo Argentine
18/10 :

Météo Argentine

26°C 78°F Ensoleillé

Météo Brésil
18/10 :

Météo Brésil

31°C 88°F Brouillard

Météo Paraguay
18/10 :

Météo Paraguay

22°C 72°F Légèrement nuageux

Météo Chili
18/10 :

Météo Chili

29°C 85°F Ensoleillé

Météo Jamaïque
18/10 :

Météo Jamaïque

32°C 90°F Légèrement nuageux

Lever et coucher de soleil Riverside Hanover Jamaïque

Lever et coucher de soleil Riverside Hanover Jamaïque
Weather Avenue Weather Avenue > Amérique Météo Amérique >   Jamaïque Jamaïque > Hanover Hanover > City

Météo Riverside

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Lever et coucher de soleil Riverside

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Heures de lever et coucher de soleil de la ville de Riverside sur une année :



 
Mois Lever de soleil Coucher de soleil
01 Janvier 06:44 17:47
15 Janvier 06:47 17:55
01 Février 06:46 18:06
15 Février 06:40 18:13
01 Mars 06:31 18:18
15 Mars 06:21 18:22
01 Avril 06:07 18:26
15 Avril 05:56 18:29
01 Mai 05:45 18:34
15 Mai 05:39 18:39
01 Juin 05:35 18:45
15 Juin 05:36 18:50
01 Juillet 05:40 18:53
15 Juillet 05:44 18:52
01 Août 05:50 18:47
15 Août 05:54 18:40
01 Septembre 05:58 18:27
15 Septembre 06:00 18:15
01 Octobre 06:03 18:01
15 Octobre 06:06 17:50
01 Novembre 06:12 17:40
15 Novembre 06:19 17:35
01 Décembre 06:28 17:35
15 Décembre 06:36 17:38
31 Décembre 06:44 17:47









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Version mobile


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SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_fr, c.population, c.elevation, lc.region_name, lc.latitude_30, lc.longitude_30, lc.population_30, lc.latitude_120, lc.longitude_120, lc.population_120, lc.is_proximity_city, c.is_geonames_data, c.parent_city_code, c.is_duplicate_url_detected, c.is_histo_rate_migrate, r.code_region, r.is_geoname_data, r.big_geoname_id, r.name_fr, c.pic_json, c.pic_json_validated, c.nb_news FROM geo_db_us.us_link_city lc INNER JOIN geo_db_us.us_city2 c ON c.city_code=lc.city_code INNER JOIN geo_db.region r ON r.code_country=c.country_code AND r.code_region=c.code_region WHERE lc.ctr = 'jm' AND lc.ctr IN ('AG','AR','BS','BB','BZ','BO','BR','CA','CL','CO','CR','CU','DO','DM','EC','US','GD','GT','GY','HT','HN','JM','MX','NI','PA','PY','PE','KN','LC','VC','SV','SR','TT','UY','VE','MQ','GP','GF','BM','AI','AW','KY','FK','GS','GL','VG','MS','PM') AND lc.region = 'hanover' AND lc.city = 'riverside' [Execution Time: 0.001 Seconds]
SELECT `us_proximity_city`.`city_code`, `us_proximity_city`.`city_code_1`, `us_proximity_city`.`city_1`, `us_proximity_city`.`region_1`, `us_proximity_city`.`city_code_2`, `us_proximity_city`.`city_2`, `us_proximity_city`.`region_2`, `us_proximity_city`.`city_code_3`, `us_proximity_city`.`city_3`, `us_proximity_city`.`region_3`, `us_proximity_city`.`city_code_4`, `us_proximity_city`.`city_4`, `us_proximity_city`.`region_4`, `us_proximity_city`.`city_code_5`, `us_proximity_city`.`city_5`, `us_proximity_city`.`region_5`, `us_proximity_city`.`city_code_6`, `us_proximity_city`.`city_6`, `us_proximity_city`.`region_6`, `us_proximity_city`.`city_code_7`, `us_proximity_city`.`city_7`, `us_proximity_city`.`region_7`, `us_proximity_city`.`city_code_8`, `us_proximity_city`.`city_8`, `us_proximity_city`.`region_8`, `us_proximity_city`.`city_code_9`, `us_proximity_city`.`city_9`, `us_proximity_city`.`region_9`, `us_proximity_city`.`city_code_10`, `us_proximity_city`.`city_10`, `us_proximity_city`.`region_10`, `us_proximity_city`.`city_code_11`, `us_proximity_city`.`city_11`, `us_proximity_city`.`region_11`, `us_proximity_city`.`city_code_12`, `us_proximity_city`.`city_12`, `us_proximity_city`.`region_12`, `us_proximity_city`.`city_code_13`, `us_proximity_city`.`city_13`, `us_proximity_city`.`region_13`, `us_proximity_city`.`city_code_14`, `us_proximity_city`.`city_14`, `us_proximity_city`.`region_14`, `us_proximity_city`.`city_code_15`, `us_proximity_city`.`city_15`, `us_proximity_city`.`region_15`, `us_proximity_city`.`city_code_16`, `us_proximity_city`.`city_16`, `us_proximity_city`.`region_16`, `us_proximity_city`.`city_code_17`, `us_proximity_city`.`city_17`, `us_proximity_city`.`region_17`, `us_proximity_city`.`city_code_18`, `us_proximity_city`.`city_18`, `us_proximity_city`.`region_18`, `us_proximity_city`.`city_code_19`, `us_proximity_city`.`city_19`, `us_proximity_city`.`region_19`, `us_proximity_city`.`city_code_20`, `us_proximity_city`.`city_20`, `us_proximity_city`.`region_20`, `us_proximity_city`.`city_code_21`, `us_proximity_city`.`city_21`, `us_proximity_city`.`region_21` FROM `geo_db_us`.`us_proximity_city` WHERE city_code='1200386' [Execution Time: 0.001 Seconds]
SELECT city_code, name_fr FROM geo_db_us.us_city2 WHERE city_code IN (1199667,1200164,1199052,1198643,1198642,1198641,1200398,1198738,1199915,1200067,1199301,1199352,1199380,1199531,1198812,1200401,1198435,1198434,1200657,1200266,1199387) [Execution Time: 0.001 Seconds]
SELECT `us_proximity_city`.`city_code`, `us_proximity_city`.`city_code_1`, `us_proximity_city`.`city_1`, `us_proximity_city`.`region_1`, `us_proximity_city`.`city_code_2`, `us_proximity_city`.`city_2`, `us_proximity_city`.`region_2`, `us_proximity_city`.`city_code_3`, `us_proximity_city`.`city_3`, `us_proximity_city`.`region_3`, `us_proximity_city`.`city_code_4`, `us_proximity_city`.`city_4`, `us_proximity_city`.`region_4`, `us_proximity_city`.`city_code_5`, `us_proximity_city`.`city_5`, `us_proximity_city`.`region_5`, `us_proximity_city`.`city_code_6`, `us_proximity_city`.`city_6`, `us_proximity_city`.`region_6`, `us_proximity_city`.`city_code_7`, `us_proximity_city`.`city_7`, `us_proximity_city`.`region_7`, `us_proximity_city`.`city_code_8`, `us_proximity_city`.`city_8`, `us_proximity_city`.`region_8`, `us_proximity_city`.`city_code_9`, `us_proximity_city`.`city_9`, `us_proximity_city`.`region_9`, `us_proximity_city`.`city_code_10`, `us_proximity_city`.`city_10`, `us_proximity_city`.`region_10`, `us_proximity_city`.`city_code_11`, `us_proximity_city`.`city_11`, `us_proximity_city`.`region_11`, `us_proximity_city`.`city_code_12`, `us_proximity_city`.`city_12`, `us_proximity_city`.`region_12`, `us_proximity_city`.`city_code_13`, `us_proximity_city`.`city_13`, `us_proximity_city`.`region_13`, `us_proximity_city`.`city_code_14`, `us_proximity_city`.`city_14`, `us_proximity_city`.`region_14`, `us_proximity_city`.`city_code_15`, `us_proximity_city`.`city_15`, `us_proximity_city`.`region_15`, `us_proximity_city`.`city_code_16`, `us_proximity_city`.`city_16`, `us_proximity_city`.`region_16`, `us_proximity_city`.`city_code_17`, `us_proximity_city`.`city_17`, `us_proximity_city`.`region_17`, `us_proximity_city`.`city_code_18`, `us_proximity_city`.`city_18`, `us_proximity_city`.`region_18`, `us_proximity_city`.`city_code_19`, `us_proximity_city`.`city_19`, `us_proximity_city`.`region_19`, `us_proximity_city`.`city_code_20`, `us_proximity_city`.`city_20`, `us_proximity_city`.`region_20`, `us_proximity_city`.`city_code_21`, `us_proximity_city`.`city_21`, `us_proximity_city`.`region_21` FROM `geo_db_us`.`us_proximity_city` WHERE city_code='1200386' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (1200386, 1199667, 1200164, 1199052, 1198643, 1198642, 1198641, 1200398, 1198738, 1199915, 1200067, 1199301, 1199352, 1199380, 1199531, 1198812, 1200401, 1198435, 1198434, 1200657, 1200266, 1199387) [Execution Time: 0.001 Seconds]
SELECT `us_proximity_city`.`city_code`, `us_proximity_city`.`city_code_1`, `us_proximity_city`.`city_1`, `us_proximity_city`.`region_1`, `us_proximity_city`.`city_code_2`, `us_proximity_city`.`city_2`, `us_proximity_city`.`region_2`, `us_proximity_city`.`city_code_3`, `us_proximity_city`.`city_3`, `us_proximity_city`.`region_3`, `us_proximity_city`.`city_code_4`, `us_proximity_city`.`city_4`, `us_proximity_city`.`region_4`, `us_proximity_city`.`city_code_5`, `us_proximity_city`.`city_5`, `us_proximity_city`.`region_5`, `us_proximity_city`.`city_code_6`, `us_proximity_city`.`city_6`, `us_proximity_city`.`region_6`, `us_proximity_city`.`city_code_7`, `us_proximity_city`.`city_7`, `us_proximity_city`.`region_7`, `us_proximity_city`.`city_code_8`, `us_proximity_city`.`city_8`, `us_proximity_city`.`region_8`, `us_proximity_city`.`city_code_9`, `us_proximity_city`.`city_9`, `us_proximity_city`.`region_9`, `us_proximity_city`.`city_code_10`, `us_proximity_city`.`city_10`, `us_proximity_city`.`region_10`, `us_proximity_city`.`city_code_11`, `us_proximity_city`.`city_11`, `us_proximity_city`.`region_11`, `us_proximity_city`.`city_code_12`, `us_proximity_city`.`city_12`, `us_proximity_city`.`region_12`, `us_proximity_city`.`city_code_13`, `us_proximity_city`.`city_13`, `us_proximity_city`.`region_13`, `us_proximity_city`.`city_code_14`, `us_proximity_city`.`city_14`, `us_proximity_city`.`region_14`, `us_proximity_city`.`city_code_15`, `us_proximity_city`.`city_15`, `us_proximity_city`.`region_15`, `us_proximity_city`.`city_code_16`, `us_proximity_city`.`city_16`, `us_proximity_city`.`region_16`, `us_proximity_city`.`city_code_17`, `us_proximity_city`.`city_17`, `us_proximity_city`.`region_17`, `us_proximity_city`.`city_code_18`, `us_proximity_city`.`city_18`, `us_proximity_city`.`region_18`, `us_proximity_city`.`city_code_19`, `us_proximity_city`.`city_19`, `us_proximity_city`.`region_19`, `us_proximity_city`.`city_code_20`, `us_proximity_city`.`city_20`, `us_proximity_city`.`region_20`, `us_proximity_city`.`city_code_21`, `us_proximity_city`.`city_21`, `us_proximity_city`.`region_21` FROM `geo_db_us`.`us_proximity_city` WHERE city_code='1200386' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (1200386, 1199667, 1200164, 1199052, 1198643, 1198642, 1198641, 1200398, 1198738, 1199915, 1200067, 1199301, 1199352, 1199380, 1199531, 1198812, 1200401, 1198435, 1198434, 1200657, 1200266, 1199387) [Execution Time: 0.001 Seconds]
SELECT SUM(rate) / count(*) city_rate, count(*) nb_rate FROM meteo_us.us_city_rate WHERE latitude=18.3797 AND longitude=-78.19759 [Execution Time: 0 Seconds]
SELECT `region_big_city`.`code_country`, `region_big_city`.`code_region`, `region_big_city`.`city_code_1`, `region_big_city`.`city_code_2`, `region_big_city`.`city_code_3`, `region_big_city`.`city_code_4`, `region_big_city`.`city_code_5`, `region_big_city`.`city_code_6`, `region_big_city`.`city_code_7`, `region_big_city`.`city_code_8`, `region_big_city`.`city_code_9`, `region_big_city`.`city_code_10`, `region_big_city`.`city_code_11`, `region_big_city`.`city_code_12`, `region_big_city`.`city_code_13`, `region_big_city`.`city_code_14`, `region_big_city`.`city_code_15`, `region_big_city`.`city_code_16`, `region_big_city`.`city_code_17`, `region_big_city`.`city_code_18`, `region_big_city`.`city_code_19`, `region_big_city`.`city_code_20`, `region_big_city`.`city_code_21` FROM `geo_db`.`region_big_city` WHERE code_country='jm' AND code_region='02' [Execution Time: 0.001 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='FR' AND month=10 AND day=19 [Execution Time: 0.001 Seconds]
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