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天气 Avendale 宾夕法尼亚州 美国
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Weather Avenue Weather Avenue > 美洲 天气 美洲 >   美国 美国 > 宾夕法尼亚州 宾夕法尼亚州 > City

天气 Avendale


天气 Avendale 宾夕法尼亚州 美国
每小时天气 Avendale 宾夕法尼亚州 美国
15 天的天气 Avendale 宾夕法尼亚州 美国
历史 Avendale 宾夕法尼亚州 美国
日出 Avendale 宾夕法尼亚州 美国
图片 Avendale 宾夕法尼亚州 美国

星期五 18 十月 2024

天气 Avendale 星期五 18 十月 2024: 局部多云
局部多云

温度 温度 : 22°C 72°F | 7°C 45°F
温度 体感温度 : 23°C 74°F
风 风 : 北 10 Km/h6 mph
云覆盖率 云覆盖率 : 25%
湿度 湿度 : 56%
降水量 降水量 : 0.0 mm
紫外线指数 紫外线指数 : 0

夜晚
天气 Avendale 夜晚: 晴空
晴空
温度 10°C 50°F
北北西 11 Km/h7 mph
早上
天气 Avendale 早上: 晴空
晴空
温度 7°C 45°F
北北西 11 Km/h7 mph
下午
天气 Avendale 下午: 晴朗
晴朗
温度 17°C 63°F
北北东 12 Km/h8 mph
晚上
天气 Avendale 晚上: 晴朗
晴朗
温度 20°C 68°F
北 5 Km/h3 mph

每小时天气 每小时天气
 


星期六 19 十月 2024

天气 Avendale 星期六 19 十月 2024: 晴朗
晴朗

温度 温度 : 23°C 74°F | 9°C 48°F
温度 体感温度 : 24°C 78°F
风 风 : 北北东 3 Km/h2 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 36%
降水量 降水量 : 0.0 mm
紫外线指数 紫外线指数 : 3

夜晚
天气 Avendale 夜晚: 晴空
晴空
温度 13°C 55°F
东北 5 Km/h3 mph
早上
天气 Avendale 早上: 晴空
晴空
温度 9°C 49°F
北 6 Km/h4 mph
下午
天气 Avendale 下午: 晴朗
晴朗
温度 20°C 68°F
北北东 3 Km/h2 mph
晚上
天气 Avendale 晚上: 晴朗
晴朗
温度 21°C 69°F
西北 2 Km/h1 mph
 


星期日 20 十月 2024

天气 Avendale 星期日 20 十月 2024: 晴朗
晴朗

温度 温度 : 25°C 77°F | 8°C 47°F
温度 体感温度 : 27°C 80°F
风 风 : 西 9 Km/h6 mph
云覆盖率 云覆盖率 : 0%
湿度 湿度 : 32%
降水量 降水量 : 0.0 mm
紫外线指数 紫外线指数 : 3

夜晚
天气 Avendale 夜晚: 晴空
晴空
温度 14°C 57°F
南南西 6 Km/h4 mph
早上
天气 Avendale 早上: 晴空
晴空
温度 9°C 48°F
西南西 6 Km/h4 mph
下午
天气 Avendale 下午: 晴朗
晴朗
温度 22°C 71°F
西 9 Km/h6 mph
晚上
天气 Avendale 晚上: 晴朗
晴朗
温度 22°C 72°F
西 6 Km/h4 mph
 


星期一 21 十月 2024

天气 Avendale 星期一 21 十月 2024: 晴朗
晴朗

温度 温度 : 26°C 79°F | 12°C 54°F
温度 体感温度 : 28°C 83°F
风 风 : 西北西 8 Km/h5 mph
云覆盖率 云覆盖率 : 6%
湿度 湿度 : 32%
降水量 降水量 : 0.0 mm
紫外线指数 紫外线指数 : 3

夜晚
天气 Avendale 夜晚: 晴空
晴空
温度 15°C 58°F
西 6 Km/h4 mph
早上
天气 Avendale 早上: 晴空
晴空
温度 13°C 55°F
西北西 6 Km/h4 mph
下午
天气 Avendale 下午: 晴朗
晴朗
温度 22°C 72°F
西北西 8 Km/h5 mph
晚上
天气 Avendale 晚上: 晴朗
晴朗
温度 23°C 73°F
西 7 Km/h4 mph


星期二 22 十月 2024

天气 Avendale 星期二 22 十月 2024: 晴朗
晴朗

温度 温度 : 27°C 81°F | 16°C 61°F
温度 体感温度 : 28°C 87°F
风 风 : 西北 1 Km/h0 mph
云覆盖率 云覆盖率 : 11%
湿度 湿度 : 39%
降水量 降水量 : 0.0 mm
紫外线指数 紫外线指数 : 6

夜晚
天气 Avendale 夜晚: 晴空
晴空
温度 18°C 64°F
西北 6 Km/h4 mph
早上
天气 Avendale 早上: 晴空
晴空
温度 16°C 61°F
北北西 5 Km/h3 mph
下午
天气 Avendale 下午: 晴朗
晴朗
温度 24°C 76°F
西北 1 Km/h0 mph
晚上
天气 Avendale 晚上: 晴朗
晴朗
温度 24°C 75°F
西南 2 Km/h1 mph


15 天的天气


图片 图片 Avendale
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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 = 'avendale' [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='2533525' [Execution Time: 0.001 Seconds]
SELECT city_code, name_cn FROM geo_db_us.us_city2 WHERE city_code IN (2541113,2537327,2535982,2539331,2534919,2538165,2539782,2540609,2539679,2534114,2539016,2541608) [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='2533525' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (2533525, 2541113, 2537327, 2535982, 2539331, 2534919, 2538165, 2539782, 2540609, 2539679, 2534114, 2539016, 2541608) [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='2533525' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (2533525, 2541113, 2537327, 2535982, 2539331, 2534919, 2538165, 2539782, 2540609, 2539679, 2534114, 2539016, 2541608) [Execution Time: 0 Seconds]
replace into meteo_us.us_meteo_histo values (39.95234, -75.16379, curdate(), 'Partly cloudy', '7', '22', '25', '56', '0.0', 'N', '10', '18:52', '08:40', '', '0', '0') [Execution Time: 0 Seconds]
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