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新闻 Stony Point New York 美国
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新闻推送 新闻推送 天气 美洲

天气 加拿大
21/10 :

天气 加拿大

25°C 77°F 晴空

天气 墨西哥
21/10 :

天气 墨西哥

17°C 63°F 局部多云

天气 乌拉圭
21/10 :

天气 乌拉圭

27°C 81°F 晴空

天气 美国
21/10 :

天气 美国

29°C 84°F 晴空

天气 阿根廷
21/10 :

天气 阿根廷

26°C 78°F 晴空

天气 巴西
21/10 :

天气 巴西

28°C 82°F 附近零星雨

天气 巴拉圭
21/10 :

天气 巴拉圭

35°C 95°F 晴空

天气 智利
21/10 :

天气 智利

24°C 76°F 晴空

天气 牙买加
21/10 :

天气 牙买加

30°C 85°F 局部多云

新闻 Stony Point New York 美国

新闻 Stony Point New York 美国
Weather Avenue Weather Avenue > 美洲 天气 美洲 > 新闻推送 新闻推送 > 美国 新闻 美国 > 纽约州 新闻 纽约州 > City 新闻 Stony Point
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新闻 Stony-point New York 2024年8月18日



纽约斯通波因特天气分析：2024年8月17日至19日

你好，斯通波因特的居民和游客！准备好迎接接下来几天有趣的天气模式吧，我们将看到太阳与雨水的交织。以下是您的详细天气分析。



2024年8月17日，星期四

这一天将以宜人的晴空开始，随后转为部分多云的天气。预计最高气温约为 28°C (82°F)，最低气温为 23°C (73°F)。预测风速温和，来自东南方向，风速在 9-15 mph，能见度良好，约为 10 miles。

然而，随着晚上临近，预计会有小雨，特别是在 下午6点左右。降水量预计非常少，约为 0.7 mm，因此这不应会太影响户外计划。紫外线指数将在中午达到 8的峰值，因此建议进行户外活动时涂抹防晒霜。日落时间为 晚上7:51，这一天提供了 11.5小时的阳光。

2024年8月18日，星期五







 

法律声明 | 天气大道 Weather Avenue 不承担对不准确的天气预报的任何责任。
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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 = 'new-york' AND lc.city = 'stony-point' [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='2518969' [Execution Time: 0.001 Seconds]
SELECT city_code, name_cn FROM geo_db_us.us_city2 WHERE city_code IN (2519515,2518450,2519133,2515870,2514753,2519086,2519299,2515641,2516234,2514599,2516718,2517273) [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='2518969' [Execution Time: 0.001 Seconds]
SELECT `region`.`code_country`, `region`.`code_region`, `region`.`region`, `region`.`sgv`, `region`.`svg_x`, `region`.`svg_y`, `region`.`svg_width`, `region`.`svg_height`, `region`.`name_en`, `region`.`name_fr`, `region`.`name_de`, `region`.`name_it`, `region`.`name_pl`, `region`.`name_es`, `region`.`name_pt`, `region`.`name_ru`, `region`.`name_hi`, `region`.`name_cn`, `region`.`name_jp`, `region`.`name_ar`, `region`.`big_city_code`, `region`.`big_geoname_id`, `region`.`is_geoname_data` FROM `geo_db`.`region` WHERE code_country='US' AND (REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(lower(region), 'ß', 's'), '(( ', ' '), ' ))', ' '), '((', ' '), '))', ' '), ' - ', ' '), '- ', ' '), '-\'', ' '), '\'-', ' '), ' \'', ' '), '\' ', ' '), 'sss', 's'), 'ss', 's'), ',', ''), '. ', ' '), '-', ' '), '¡', 'i'), 'ä', 'a'), 'é', 'e'), '\'', ' '), ' ', '-') LIKE 'new-york' OR REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(lower(region), 'ß', 's'), '(( ', ' '), ' ))', ' '), '((', ' '), '))', ' '), ' - ', ' '), '- ', ' '), '-\'', ' '), '\'-', ' '), ' \'', ' '), '\' ', ' '), 'sss', 's'), 'ss', 's'), ',', ''), '. ', ' '), '-', ' '), '¡', 'i'), 'ä', 'a'), 'é', 'e'), '\'', ' '), ' ', '-') LIKE 'new-york_') [Execution Time: 0.002 Seconds]
SELECT `us_news`.`code_news`, `us_news`.`code_ville`, `us_news`.`date_news`, `us_news`.`nb_read`, `us_news`.`texte_en`, `us_news`.`texte_fr`, `us_news`.`texte_de`, `us_news`.`texte_it`, `us_news`.`texte_es`, `us_news`.`texte_pt`, `us_news`.`texte_pl`, `us_news`.`texte_ru`, `us_news`.`texte_hi`, `us_news`.`texte_cn`, `us_news`.`texte_jp` FROM `meteo_us`.`us_news` WHERE code_ville in (2518969, 2519515, 2518450, 2519133, 2515870, 2514753, 2519086, 2519299, 2515641, 2516234, 2514599, 2516718, 2517273) ORDER BY `date_news` DESC LIMIT 0, 10 [Execution Time: 0.001 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='2518969' [Execution Time: 0.001 Seconds]
SELECT `region`.`code_country`, `region`.`code_region`, `region`.`region`, `region`.`sgv`, `region`.`svg_x`, `region`.`svg_y`, `region`.`svg_width`, `region`.`svg_height`, `region`.`name_en`, `region`.`name_fr`, `region`.`name_de`, `region`.`name_it`, `region`.`name_pl`, `region`.`name_es`, `region`.`name_pt`, `region`.`name_ru`, `region`.`name_hi`, `region`.`name_cn`, `region`.`name_jp`, `region`.`name_ar`, `region`.`big_city_code`, `region`.`big_geoname_id`, `region`.`is_geoname_data` FROM `geo_db`.`region` WHERE code_country='US' AND code_region='NY' [Execution Time: 0 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (2518969, 2519515, 2518450, 2519133, 2515870, 2514753, 2519086, 2519299, 2515641, 2516234, 2514599, 2516718, 2517273) [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='NY' [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 (2517446,2699386,2519795,2514061) 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='new-york' AND city='new-york' [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='new-york' AND city='borough-of-queens' [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='new-york' AND city='amherst' [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='new-york' AND city='yonkers' [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=21 [Execution Time: 0 Seconds]
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