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天气 Cedar Cliff 宾夕法尼亚州 美国
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新闻推送 新闻推送 天气 美洲

天气 加拿大
18/10 :

天气 加拿大

19°C 67°F 晴朗

天气 墨西哥
18/10 :

天气 墨西哥

24°C 75°F 晴朗

天气 乌拉圭
18/10 :

天气 乌拉圭

22°C 72°F 局部多云

天气 美国
18/10 :

天气 美国

22°C 71°F 晴朗

天气 阿根廷
18/10 :

天气 阿根廷

26°C 78°F 晴朗

天气 巴西
18/10 :

天气 巴西

31°C 88°F 薄雾

天气 巴拉圭
18/10 :

天气 巴拉圭

22°C 72°F 局部多云

天气 智利
18/10 :

天气 智利

29°C 85°F 晴朗

天气 牙买加
18/10 :

天气 牙买加

32°C 90°F 局部多云

天气 Cedar Cliff 宾夕法尼亚州 美国

天气 Cedar Cliff 宾夕法尼亚州 美国


为此城市评分 为此城市评分 :
(成为第一个评分者)

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天气 Cedar Cliff

- 星期五 18 十月 2024
天气 Cedar Cliff: 晴空

晴空

目前:
温度 温度 : 8°C 47°F
温度 体感温度 : 6°C 43°F
风 风 : 北北西 14 Km/h9 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 71%

温度 : 18°C 64°F | 5°C 42°F
降水量 : 0.0 mm

每小时天气

夜晚
天气 Cedar Cliff 夜晚: 多云

多云
温度 10°C 50°F
北 17 Km/h11 mph
早上
天气 Cedar Cliff 早上: 局部多云 温度

局部多云
温度 6°C 43°F
北北西 17 Km/h11 mph
下午
天气 Cedar Cliff 下午: 晴朗

晴朗
温度 13°C 55°F
北 16 Km/h10 mph
晚上
天气 Cedar Cliff 晚上: 晴朗

晴朗
温度 14°C 58°F
北 15 Km/h9 mph
更多信息 更多信息
日出 日出 : 07:22 - 日落: 18:22
月升 月升 : 18:26 - 月落: 07:25
纬度 经度 纬度: 40.2283333 - 经度: -76.9030556
海拔 海拔: 114 m.
 

未来几天的天气预报

天气 Cedar Cliff


星期六 19 十月 2024
天气 Cedar Cliff 星期六: 晴朗

晴朗
温度 温度 : 22°C 72°F | 6°C 43°F
温度 体感温度 : 23°C 74°F | 4°C -6°F
风 风 : 北北东 12 Km/h8 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 37%

天气 Cedar Cliff


星期日 20 十月 2024
天气 Cedar Cliff 星期日: 晴朗

晴朗
温度 温度 : 23°C 74°F | 7°C 44°F
温度 体感温度 : 25°C 78°F | 7°C 4°F
风 风 : 东北东 4 Km/h2 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 41%

天气 Cedar Cliff


星期一 21 十月 2024
天气 Cedar Cliff 星期一: 晴朗

晴朗
温度 温度 : 25°C 76°F | 6°C 42°F
温度 体感温度 : 27°C 80°F | 6°C -0°F
风 风 : 西 5 Km/h3 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 36%

天气 Cedar Cliff


星期二 22 十月 2024
天气 Cedar Cliff 星期二: 晴朗

晴朗
温度 温度 : 26°C 78°F | 13°C 55°F
温度 体感温度 : 28°C 82°F | 13°C 7°F
风 风 : 西北 7 Km/h4 mph
云覆盖率 云覆盖率 : 7%
湿度 湿度 : 33%

15 天的天气 Cedar Cliff 15 天的天气 Cedar Cliff

 








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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_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 = 'us' 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 = 'pennsylvania' AND lc.city = 'cedar-cliff' [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='2534379' [Execution Time: 0.001 Seconds]
SELECT city_code, name_cn FROM geo_db_us.us_city2 WHERE city_code IN (2537672,2535395,2536239,2541432,2538504,2537447,2535192,2534284,2535828,2541169,2540748,2538017) [Execution Time: 0 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='2534379' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (2534379, 2537672, 2535395, 2536239, 2541432, 2538504, 2537447, 2535192, 2534284, 2535828, 2541169, 2540748, 2538017) [Execution Time: 0.016 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='2534379' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (2534379, 2537672, 2535395, 2536239, 2541432, 2538504, 2537447, 2535192, 2534284, 2535828, 2541169, 2540748, 2538017) [Execution Time: 0 Seconds]
replace into meteo_us.us_meteo_histo values (39.29038, -76.61219, curdate(), 'Clear', '5', '18', '0', '71', '0.0', 'NNW', '14', '18:26', '07:25', '', '0', '0') [Execution Time: 0 Seconds]
SELECT SUM(rate) / count(*) city_rate, count(*) nb_rate FROM meteo_us.us_city_rate WHERE latitude=40.2283333 AND longitude=-76.9030556 [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='us' AND code_region='PA' [Execution Time: 0 Seconds]
SELECT `us_city2`.`city_code`, `us_city2`.`country_code`, `us_city2`.`format_name`, `us_city2`.`name`, `us_city2`.`code_region`, `us_city2`.`population`, `us_city2`.`latitude`, `us_city2`.`longitude`, `us_city2`.`elevation`, `us_city2`.`capital`, `us_city2`.`name_en`, `us_city2`.`name_fr`, `us_city2`.`name_de`, `us_city2`.`name_it`, `us_city2`.`name_pl`, `us_city2`.`name_es`, `us_city2`.`name_pt`, `us_city2`.`name_ru`, `us_city2`.`name_hi`, `us_city2`.`name_cn`, `us_city2`.`name_jp`, `us_city2`.`name_ar`, `us_city2`.`postal_code`, `us_city2`.`link`, `us_city2`.`geonames_nb_cities_found`, `us_city2`.`is_geonames_data`, `us_city2`.`geonames_id`, `us_city2`.`geonames_date`, `us_city2`.`latitude_orig`, `us_city2`.`longitude_orig`, `us_city2`.`parent_city_code`, `us_city2`.`is_city_created_manually`, `us_city2`.`is_duplicate_url_detected`, `us_city2`.`is_histo_rate_migrate`, `us_city2`.`pic_json`, `us_city2`.`pic_json_date`, `us_city2`.`nb_news`, `us_city2`.`pic_json_validated`, `us_city2`.`pic_json_date_validated` FROM `geo_db_us`.`us_city2` WHERE city_code IN (2539087,2535577,2536426,2541484) ORDER BY rand() ASC [Execution Time: 0.001 Seconds]
SELECT `us_link_city`.`ctr`, `us_link_city`.`region`, `us_link_city`.`city`, `us_link_city`.`city_code`, `us_link_city`.`region_name`, `us_link_city`.`latitude_30`, `us_link_city`.`longitude_30`, `us_link_city`.`population_30`, `us_link_city`.`latitude_120`, `us_link_city`.`longitude_120`, `us_link_city`.`population_120`, `us_link_city`.`is_proximity_city` FROM `geo_db_us`.`us_link_city` WHERE ctr='us' AND region='pennsylvania' AND city='philadelphia' [Execution Time: 0 Seconds]
SELECT `us_link_city`.`ctr`, `us_link_city`.`region`, `us_link_city`.`city`, `us_link_city`.`city_code`, `us_link_city`.`region_name`, `us_link_city`.`latitude_30`, `us_link_city`.`longitude_30`, `us_link_city`.`population_30`, `us_link_city`.`latitude_120`, `us_link_city`.`longitude_120`, `us_link_city`.`population_120`, `us_link_city`.`is_proximity_city` FROM `geo_db_us`.`us_link_city` WHERE ctr='us' AND region='pennsylvania' AND city='harrisburg' [Execution Time: 0 Seconds]
SELECT `us_link_city`.`ctr`, `us_link_city`.`region`, `us_link_city`.`city`, `us_link_city`.`city_code`, `us_link_city`.`region_name`, `us_link_city`.`latitude_30`, `us_link_city`.`longitude_30`, `us_link_city`.`population_30`, `us_link_city`.`latitude_120`, `us_link_city`.`longitude_120`, `us_link_city`.`population_120`, `us_link_city`.`is_proximity_city` FROM `geo_db_us`.`us_link_city` WHERE ctr='us' AND region='pennsylvania' AND city='erie' [Execution Time: 0 Seconds]
SELECT `us_link_city`.`ctr`, `us_link_city`.`region`, `us_link_city`.`city`, `us_link_city`.`city_code`, `us_link_city`.`region_name`, `us_link_city`.`latitude_30`, `us_link_city`.`longitude_30`, `us_link_city`.`population_30`, `us_link_city`.`latitude_120`, `us_link_city`.`longitude_120`, `us_link_city`.`population_120`, `us_link_city`.`is_proximity_city` FROM `geo_db_us`.`us_link_city` WHERE ctr='us' AND region='pennsylvania' AND city='wilkes-barre' [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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