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天气 Ram Kishan North-West Frontier 巴基斯坦
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新闻推送 新闻推送 天气 亚洲

天气 阿拉伯联合酋长国
19/10 :

天气 阿拉伯联合酋长国

32°C 90°F 晴空

天气 中国
19/10 :

天气 中国

21°C 69°F 局部多云

天气 卡塔尔
19/10 :

天气 卡塔尔

34°C 93°F 晴空

天气 印度
19/10 :

天气 印度

29°C 84°F 局部多云

天气 香港
19/10 :

天气 香港

29°C 84°F 局部多云

天气 日本
19/10 :

天气 日本

29°C 84°F 局部多云

天气 韩国
19/10 :

天气 韩国

17°C 63°F 局部多云

天气 新加坡
19/10 :

天气 新加坡

29°C 84°F 局部多云

天气 伊拉克
19/10 :

天气 伊拉克

32°C 89°F 晴空

天气 Ram Kishan North-West Frontier 巴基斯坦

天气 Ram Kishan North-West Frontier 巴基斯坦


为此城市评分 为此城市评分 :
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天气 Ram Kishan

- 星期六 19 十月 2024
天气 Ram Kishan: 局部多云 温度

局部多云

目前:
温度 温度 : 31°C 88°F
温度 体感温度 : 34°C 93°F
风 风 : 东南东 4 Km/h2 mph
云覆盖率 云覆盖率 : 75%
湿度 湿度 : 43%

温度 : 32°C 90°F | 23°C 73°F
降水量 : 0.0 mm

每小时天气

夜晚
天气 Ram Kishan 夜晚: 晴空

晴空
温度 25°C 78°F
北 6 Km/h4 mph
早上
天气 Ram Kishan 早上: 晴空

晴空
温度 23°C 73°F
北北东 3 Km/h2 mph
下午
天气 Ram Kishan 下午: 晴朗 温度

晴朗
温度 31°C 87°F
东 3 Km/h2 mph
晚上
天气 Ram Kishan 晚上: 晴空 温度

晴空
温度 30°C 85°F
北北东 4 Km/h2 mph
更多信息 更多信息
日出 日出 : 06:21 - 日落: 17:36
月升 月升 : 18:03 - 月落: 07:10
纬度 经度 纬度: 34.0680556 - 经度: 71.5786111
海拔 海拔: 309 m.
 

未来几天的天气预报

天气 Ram Kishan


星期日 20 十月 2024
天气 Ram Kishan 星期日: 晴朗 温度

晴朗
温度 温度 : 33°C 92°F | 23°C 73°F
温度 体感温度 : 35°C 97°F | 24°C 22°F
风 风 : 东 3 Km/h2 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 24%

天气 Ram Kishan


星期一 21 十月 2024
天气 Ram Kishan 星期一: 晴朗 温度

晴朗
温度 温度 : 33°C 91°F | 23°C 73°F
温度 体感温度 : 36°C 97°F | 25°C 20°F
风 风 : 东 4 Km/h3 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 26%

天气 Ram Kishan


星期二 22 十月 2024
天气 Ram Kishan 星期二: 晴朗 温度

晴朗
温度 温度 : 33°C 91°F | 23°C 73°F
温度 体感温度 : 36°C 96°F | 25°C 22°F
风 风 : 东 4 Km/h2 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 25%

天气 Ram Kishan


星期三 23 十月 2024
天气 Ram Kishan 星期三: 晴朗 温度

晴朗
温度 温度 : 32°C 90°F | 23°C 73°F
温度 体感温度 : 35°C 95°F | 25°C 22°F
风 风 : 东北东 4 Km/h2 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 25%

15 天的天气 Ram Kishan 15 天的天气 Ram Kishan

 








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SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_cn, 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_cn, 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 = 'pk' 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 = 'north-west-frontier' AND lc.city = 'ram-kishan' [Execution Time: 0 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='1832894' [Execution Time: 0.001 Seconds]
SELECT city_code, name_cn FROM geo_db_cn.cn_city2 WHERE city_code IN (1814592,1797451,1797450,1807264,1819211,1819162,1827306,1797557,1827312,1827310,1834559,1834691,1805994,1805993,1817576,1797509,1817558,1805986,1815801,1805984,1799096) [Execution Time: 0 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='1832894' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (1832894, 1814592, 1797451, 1797450, 1807264, 1819211, 1819162, 1827306, 1797557, 1827312, 1827310, 1834559, 1834691, 1805994, 1805993, 1817576, 1797509, 1817558, 1805986, 1815801, 1805984, 1799096) [Execution Time: 0 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='1832894' [Execution Time: 0 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (1832894, 1814592, 1797451, 1797450, 1807264, 1819211, 1819162, 1827306, 1797557, 1827312, 1827310, 1834559, 1834691, 1805994, 1805993, 1817576, 1797509, 1817558, 1805986, 1815801, 1805984, 1799096) [Execution Time: 0 Seconds]
replace into meteo_cn.cn_meteo_histo values (34.008, 71.57849, curdate(), 'Partly cloudy', '23', '32', '75', '43', '0.0', 'ESE', '4', '18:03', '07:10', '', '0', '0') [Execution Time: 0 Seconds]
SELECT SUM(rate) / count(*) city_rate, count(*) nb_rate FROM meteo_cn.cn_city_rate WHERE latitude=34.0680556 AND longitude=71.5786111 [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='pk' AND code_region='03' [Execution Time: 0 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 (1822412,1823827,1789895,1780712) ORDER BY rand() ASC [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='pk' AND region='north-west-frontier' AND city='mardan' [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='pk' AND region='north-west-frontier' AND city='charsadda' [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='pk' AND region='north-west-frontier' AND city='bannu' [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='pk' AND region='north-west-frontier' AND city='mingaora' [Execution Time: 0 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='CN' AND month=10 AND day=19 [Execution Time: 0 Seconds]
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