Idioma :

Hoy es San
Griselda

°C °F
Km/h mph

Feed de noticias Tiempo Asia

21/10 :

Tiempo China

25°C 76°F Ligeramente nublado

21/10 :

Tiempo India

30°C 86°F Ligeramente nublado

21/10 :

Tiempo Hong Kong

27°C 81°F Ligeramente nublado

21/10 :

Tiempo Corea del Sur

19°C 66°F Ligeramente nublado

21/10 :

Tiempo Singapur

30°C 86°F Ligeramente nublado

21/10 :

Tiempo en Xinhan Guangdong Sheng China para 15 días

Weather Avenue >

Tiempo Asia >

China >

Guangdong Sheng >

Tiempo para 15 días Xinhan

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(Sea el primero en votar)

Tiempo para 15 días Xinhan

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Lunes
21 Octubre 2024

Xinhan

Chubascos dispersos

: 31°C 87°F | 23°C 74°F

5 Km/h3 mph

: 76%

: 69%

Más detalles

Martes
22 Octubre 2024

Xinhan

Ligeramente nublado

: 32°C 90°F | 21°C 69°F

5 Km/h3 mph

: 26%

: 52%

Más detalles

Miércoles
23 Octubre 2024

Xinhan

Ligeramente nublado

: 33°C 92°F | 21°C 70°F

7 Km/h4 mph

: 38%

: 49%

Más detalles

Jueves
24 Octubre 2024

Xinhan

Soleado

: 29°C 84°F | 18°C 64°F

13 Km/h8 mph

: 7%

: 48%

Más detalles

Viernes
25 Octubre 2024

Xinhan

Soleado

: 29°C 84°F | 15°C 59°F

8 Km/h5 mph

: 0%

: 35%

Más detalles

Sábado
26 Octubre 2024

Xinhan

Soleado

: 29°C 84°F | 15°C 59°F

11 Km/h7 mph

: 11%

: 33%

Más detalles

Domingo
27 Octubre 2024

Xinhan

Llovizna ligera

: 27°C 80°F | 20°C 67°F

9 Km/h5 mph

: 84%

: 51%

Más detalles

Lunes
28 Octubre 2024

Xinhan

Chubascos dispersos

: 22°C 71°F | 19°C 66°F

8 Km/h5 mph

: 100%

: 86%

Más detalles

Martes
29 Octubre 2024

Xinhan

Cubierto

: 21°C 70°F | 18°C 64°F

6 Km/h4 mph

: 100%

: 81%

Más detalles

Miércoles
30 Octubre 2024

Xinhan

Llovizna ligera

: 18°C 65°F | 17°C 62°F

5 Km/h3 mph

: 100%

: 87%

Más detalles

Jueves
31 Octubre 2024

Xinhan

Chubascos de lluvia

: 19°C 67°F | 17°C 62°F

4 Km/h2 mph

: 100%

: 97%

Más detalles

Viernes
01 Noviembre 2024

Xinhan

Cubierto

: 21°C 70°F | 18°C 65°F

4 Km/h2 mph

: 100%

: 90%

Más detalles

Sábado
02 Noviembre 2024

Xinhan

Cubierto

: 23°C 74°F | 20°C 69°F

4 Km/h2 mph

: 99%

: 87%

Más detalles

Domingo
03 Noviembre 2024

Xinhan

Chubascos dispersos

: 28°C 83°F | 21°C 70°F

8 Km/h5 mph

: 94%

: 65%

Más detalles

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Execution Time Load ...: 0.02 Seconds
SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_es, 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_es, c.pic_json, c.pic_json_validated, c.nb_news FROM geo_db_cn.cn_link_city lc INNER JOIN geo_db_cn.cn_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 = 'cn' AND lc.ctr IN ('ID','AE','AF','AM','AZ','BH','BT','CN','GE','IL','IN','BD','TW','UZ','IQ','IR','JO','JP','KG','KH','KR','KW','KZ','LA','LB','MM','KP','VN','YE','MN','MO','MY','OM','PH','PK','QA','SA','SY','TH','TM','TR','MV','HK','MY','NP','PS','TL','TJ','LK','SG') AND lc.region = 'guangdong' AND lc.city = 'xinhan' [Execution Time: 0.001 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='466055' [Execution Time: 0.001 Seconds]
SELECT city_code, name_es FROM geo_db_cn.cn_city2 WHERE city_code IN (420854,393464,393463,393387,448916,428606,430218,478492,371211,386482,406366,459238,436808,458755,406723,458752,434413,459239,433585,376711,376710) [Execution Time: 0.001 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='466055' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (466055, 420854, 393464, 393463, 393387, 448916, 428606, 430218, 478492, 371211, 386482, 406366, 459238, 436808, 458755, 406723, 458752, 434413, 459239, 433585, 376711, 376710) [Execution Time: 0.001 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='466055' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (466055, 420854, 393464, 393463, 393387, 448916, 428606, 430218, 478492, 371211, 386482, 406366, 459238, 436808, 458755, 406723, 458752, 434413, 459239, 433585, 376711, 376710) [Execution Time: 0.001 Seconds]
SELECT SUM(rate) / count(*) city_rate, count(*) nb_rate FROM meteo_cn.cn_city_rate WHERE latitude=22.29613 AND longitude=111.96527 [Execution Time: 0 Seconds]
replace into meteo_cn.cn_meteo_histo values (22.92832, 112.03954, curdate(), 'Patchy rain nearby', '23', '31', '76', '69', '0.0', 'ESE', '5', '20:15', '09:22', '', '0', '0') [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='cn' AND code_region='30' [Execution Time: 0.001 Seconds]
SELECT `cn_city2`.`city_code`, `cn_city2`.`country_code`, `cn_city2`.`format_name`, `cn_city2`.`name`, `cn_city2`.`code_region`, `cn_city2`.`population`, `cn_city2`.`latitude`, `cn_city2`.`longitude`, `cn_city2`.`elevation`, `cn_city2`.`capital`, `cn_city2`.`name_en`, `cn_city2`.`name_fr`, `cn_city2`.`name_de`, `cn_city2`.`name_it`, `cn_city2`.`name_pl`, `cn_city2`.`name_es`, `cn_city2`.`name_pt`, `cn_city2`.`name_ru`, `cn_city2`.`name_hi`, `cn_city2`.`name_cn`, `cn_city2`.`name_jp`, `cn_city2`.`name_ar`, `cn_city2`.`postal_code`, `cn_city2`.`link`, `cn_city2`.`geonames_nb_cities_found`, `cn_city2`.`is_geonames_data`, `cn_city2`.`geonames_id`, `cn_city2`.`geonames_date`, `cn_city2`.`latitude_orig`, `cn_city2`.`longitude_orig`, `cn_city2`.`parent_city_code`, `cn_city2`.`is_city_created_manually`, `cn_city2`.`is_duplicate_url_detected`, `cn_city2`.`is_histo_rate_migrate`, `cn_city2`.`pic_json`, `cn_city2`.`pic_json_date`, `cn_city2`.`nb_news`, `cn_city2`.`pic_json_validated`, `cn_city2`.`pic_json_date_validated` FROM `geo_db_cn`.`cn_city2` WHERE city_code IN (388465,385530,439241,444415) ORDER BY rand() ASC [Execution Time: 0.001 Seconds]
SELECT `cn_link_city`.`ctr`, `cn_link_city`.`region`, `cn_link_city`.`city`, `cn_link_city`.`city_code`, `cn_link_city`.`region_name`, `cn_link_city`.`latitude_30`, `cn_link_city`.`longitude_30`, `cn_link_city`.`population_30`, `cn_link_city`.`latitude_120`, `cn_link_city`.`longitude_120`, `cn_link_city`.`population_120`, `cn_link_city`.`is_proximity_city` FROM `geo_db_cn`.`cn_link_city` WHERE ctr='cn' AND region='guangdong' AND city='foshan' [Execution Time: 0 Seconds]
SELECT `cn_link_city`.`ctr`, `cn_link_city`.`region`, `cn_link_city`.`city`, `cn_link_city`.`city_code`, `cn_link_city`.`region_name`, `cn_link_city`.`latitude_30`, `cn_link_city`.`longitude_30`, `cn_link_city`.`population_30`, `cn_link_city`.`latitude_120`, `cn_link_city`.`longitude_120`, `cn_link_city`.`population_120`, `cn_link_city`.`is_proximity_city` FROM `geo_db_cn`.`cn_link_city` WHERE ctr='cn' AND region='guangdong' AND city='shunde' [Execution Time: 0 Seconds]
SELECT `cn_link_city`.`ctr`, `cn_link_city`.`region`, `cn_link_city`.`city`, `cn_link_city`.`city_code`, `cn_link_city`.`region_name`, `cn_link_city`.`latitude_30`, `cn_link_city`.`longitude_30`, `cn_link_city`.`population_30`, `cn_link_city`.`latitude_120`, `cn_link_city`.`longitude_120`, `cn_link_city`.`population_120`, `cn_link_city`.`is_proximity_city` FROM `geo_db_cn`.`cn_link_city` WHERE ctr='cn' AND region='guangdong' AND city='shaoguan' [Execution Time: 0 Seconds]
SELECT `cn_link_city`.`ctr`, `cn_link_city`.`region`, `cn_link_city`.`city`, `cn_link_city`.`city_code`, `cn_link_city`.`region_name`, `cn_link_city`.`latitude_30`, `cn_link_city`.`longitude_30`, `cn_link_city`.`population_30`, `cn_link_city`.`latitude_120`, `cn_link_city`.`longitude_120`, `cn_link_city`.`population_120`, `cn_link_city`.`is_proximity_city` FROM `geo_db_cn`.`cn_link_city` WHERE ctr='cn' AND region='guangdong' AND city='guangzhou' [Execution Time: 0 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='ES' AND month=10 AND day=21 [Execution Time: 0.001 Seconds]
Execution Time End Load ...: 0.349 Seconds

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Execution Time Callback ...: 0.349 Seconds
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