您现在访问的是微软AZURE全球版技术文档网站,若需要访问由世纪互联运营的MICROSOFT AZURE中国区技术文档网站,请访问 https://docs.azure.cn.

Azure Maps 中的天气服务Weather services in Azure Maps

本文介绍适用于 Azure Maps 天气服务的概念。This article introduces concepts that apply to the Azure Maps Weather Services. 建议在开始使用天气 Api 之前完成本文。We recommend going through this article before starting out with the weather APIs.

单位类型Unit types

某些天气服务 Api 允许用户指定是以公制单位还是以英制单位返回数据。Some of the Weather service APIs allow user to specify if the data is returned either in metric or in imperial units. 这些 Api 返回的响应包括 Unittype.pixel 度量和可用于单位转换的数值。The returned responses for these APIs include unitType and a numeric value that can be used for unit translations. 请参阅下表以解释这些值。See table below to interpret these values.

Unittype.pixel 度量unitType 说明Description
00 feet
11 ×inches
22 英里miles
33 毫米millimeter
44 点数centimeter
55 进度表meter
66 kilometerkilometer
77 kilometersPerHourkilometersPerHour
88 节点knots
99 milesPerHourmilesPerHour
1010 metersPerSecondmetersPerSecond
1111 hectoPascalshectoPascals
1212 inchesOfMercuryinchesOfMercury
1313 kiloPascalskiloPascals
1414 millibarsmillibars
1515 millimetersOfMercurymillimetersOfMercury
1616 poundsPerSquareInchpoundsPerSquareInch
1717 摄氏温度celsius
1818 华氏温度fahrenheit
1919 开氏温度kelvin
2020 %percent
2121 FLOATfloat
2222 整型integer

天气图标Weather icons

某些天气服务 Api iconCode 在响应中返回。Some of the Weather service APIs return the iconCode in the response. iconCode是用于定义图标的数值。The iconCode is a numeric value used to define the icon. 请勿直接链接到应用程序中的这些映像,Url 可能会更改。Don't link directly to these images from your applications, the URLs can and will change.

图标编号Icon Number 图标Icon 日期Day 高枕无忧Night 文本Text
11 Yes No Sunny
22 Yes No 主要 SunnyMostly Sunny
33 Yes No 部分 SunnyPartly Sunny
44 Yes No 间歇性云Intermittent Clouds
55 Yes No 模糊阳光Hazy Sunshine
66 Yes No 主要是云Mostly Cloudy
77 Yes Yes Cloudy
88 Yes Yes Dreary (Overcast) Dreary (Overcast)
1111 Yes Yes 雾化Fog
1212 Yes Yes 淋浴Showers
1313 Yes No 大多数云与淋浴Mostly Cloudy with Showers
1414 Yes No 部分 Sunny 与淋浴Partly Sunny with Showers
1515 Yes Yes ThunderstormsThunderstorms
1616 Yes No 大多数云与 ThunderstormsMostly Cloudy with Thunderstorms
1717 Yes No 部分 Sunny 与 ThunderstormsPartly Sunny with Thunderstorms
1818 Yes Yes 采用Rain
1919 Yes Yes FlurriesFlurries
2020 Yes No 大多数云与 FlurriesMostly Cloudy with Flurries
2121 Yes No 部分 Sunny 与 FlurriesPartly Sunny with Flurries
2222 Yes Yes 雪花Snow
2323 Yes No 大多数具有雪的云Mostly Cloudy with Snow
2424 Yes Yes IceIce
2525 Yes Yes SleetSleet
2626 Yes Yes 冻结 RainFreezing Rain
2929 Yes Yes Rain 和雪Rain and Snow
3030 Yes Yes Hot
3131 Yes Yes Cold
3232 Yes Yes WindyWindy
3333 No Yes 清除Clear
3434 No Yes 大多数情况下清除Mostly Clear
3535 No Yes 部分云Partly Cloudy
3636 No Yes 间歇性云Intermittent Clouds
3737 No Yes 模糊 MoonlightHazy Moonlight
3838 No Yes 主要是云Mostly Cloudy
3939 No Yes 部分具有淋浴的云Partly Cloudy with Showers
4040 No Yes 大多数云与淋浴Mostly Cloudy with Showers
4141 No Yes 部分具有 Thunderstorms 的云Partly Cloudy with Thunderstorms
4242 No Yes 大多数云与 ThunderstormsMostly Cloudy with Thunderstorms
4343 No Yes 大多数云与 FlurriesMostly Cloudy with Flurries
4444 No Yes 大多数具有雪的云Mostly Cloudy with Snow

雷达图和卫星图像色阶Radar and satellite imagery color scale

Via 获取地图磁贴 V2 API 用户可以请求最新的雷达图和红外卫星映像。Via Get Map Tile v2 API users can request latest radar and infrared satellite images. 请参阅下面的指南,以帮助解释用于雷达图和卫星磁贴的颜色。See below guide to help interpret colors used for radar and satellite tiles.

雷达图Radar Images

下表提供了解释雷达图并为雷达图磁贴数据创建地图图例的指导。The table below provides guidance to interpret the radar images and create a map legend for Radar tile data.

十六进制颜色代码Hex color code 颜色示例Color sample 天气情况Weather condition
#93c701#93c701 Rain-浅的颜色。 Rain-LightRain-Light
#ffd701#ffd701 Rain-中等的颜色。 Rain-ModerateRain-Moderate
#f05514#f05514 Rain-重型的颜色。 Rain-HeavyRain-Heavy
#dc250e#dc250e Rain-严重的颜色。 Rain-SevereRain-Severe
#9ec8f2#9ec8f2 雪浅的颜色。 Snow-LightSnow-Light
#2a8fdb#2a8fdb 雪-适中的颜色。 Snow-ModerateSnow-Moderate
#144bed#144bed 雪-重型的颜色。 Snow-HeavySnow-Heavy
#020096#020096 雪严重的颜色。 Snow-SevereSnow-Severe
#e6a5c8#e6a5c8 冰淇淋的颜色。 Ice-LightIce-Light
#d24fa0#d24fa0 冰淇淋的颜色。 Ice-ModerateIce-Moderate
#b71691#b71691 冰严重的颜色。 Ice-SevereIce-Severe
#7a1570#7a1570 重型的颜色。 Ice-HeavyIce-Heavy
#c196e6#c196e6 混合光的颜色。 Mix-LightMix-Light
#ae6ee6#ae6ee6 Mix 的颜色。 Mix-ModerateMix-Moderate
#8a32d7#8a32d7 混合厚的颜色。 Mix-HeavyMix-Heavy
#6500ba#6500ba 混合严重性的颜色。 Mix-SevereMix-Severe

下面显示了带有十六进制颜色代码和 dBZ 值的雷达图磁贴的详细调色板。Detailed color palette for radar tiles with Hex color codes and dBZ values is shown below. dBZ 表示天气雷达图中降水量的强度。dBZ represents precipitation intensity in weather radar.

采用RAIN 交易ICE 雪花SNOW MIXEDMIXED
dBZ ** (颜色) **dBZ (color) dBZ ** (颜色) **dBZ (color) dBZ ** (颜色) **dBZ (color) dBZ ** (颜色) **dBZ (color)
1.25 ( # 93C701) 1.25 (#93C701) 1.25 ( # E6A5C8) 1.25 (#E6A5C8) 1.25 ( # 9EC8F2) 1.25 (#9EC8F2) 1.25 ( # C196E6) 1.25 (#C196E6)
2.5 ( # 92C201) 2.5 (#92C201) 2.5 ( # E6A2C6) 2.5 (#E6A2C6) 2.5 ( # 98C5F0) 2.5 (#98C5F0) 2.5 ( # BF92E6) 2.5 (#BF92E6)
3.75 ( # 92BE01) 3.75 (#92BE01) 3.75 ( # E69FC5) 3.75 (#E69FC5) 3.75 ( # 93C3EF) 3.75 (#93C3EF) 3.75 ( # BD8EE6) 3.75 (#BD8EE6)
5 ( # 92BA02) 5 (#92BA02) 5 ( # E69DC4) 5 (#E69DC4) 5 ( # 8DC1EE) 5 (#8DC1EE) 5 ( # BB8BE6) 5 (#BB8BE6)
6.25 ( # 92B502) 6.25 (#92B502) 6.25 ( # E69AC2) 6.25 (#E69AC2) 6.25 ( # 88BFEC) 6.25 (#88BFEC) 6.25 ( # BA87E6) 6.25 (#BA87E6)
6.75 ( # 92B403) 6.75 (#92B403) 7.5 ( # E697C1) 7.5 (#E697C1) 7.5 ( # 82BDEB) 7.5 (#82BDEB) 7.5 ( # B883E6) 7.5 (#B883E6)
8 ( # 80AD02) 8 (#80AD02) 8.75 ( # E695C0) 8.75 (#E695C0) 8.75 ( # 7DBAEA) 8.75 (#7DBAEA) 8.75 ( # B680E6) 8.75 (#B680E6)
9.25 ( # 6FA602) 9.25 (#6FA602) 10 ( # E692BE) 10 (#E692BE) 10 ( # 77B8E8) 10 (#77B8E8) 10 ( # B47CE6) 10 (#B47CE6)
10.5 ( # 5EA002) 10.5 (#5EA002) 11.25 ( # E68FBD) 11.25 (#E68FBD) 11.25 ( # 72B6E7) 11.25 (#72B6E7) 11.25 ( # B378E6) 11.25 (#B378E6)
11.75 ( # 4D9902) 11.75 (#4D9902) 12.5 ( # E68DBC) 12.5 (#E68DBC) 12.5 ( # 6CB4E6) 12.5 (#6CB4E6) 12.5 ( # B175E6) 12.5 (#B175E6)
12.25 ( # 479702) 12.25 (#479702) 13.75 ( # E68ABA) 13.75 (#E68ABA) 13.75 ( # 67B2E5) 13.75 (#67B2E5) 13.75 ( # AF71E6) 13.75 (#AF71E6)
13.5 ( # 3D9202) 13.5 (#3D9202) 15 ( # E687B9) 15 (#E687B9) 15 ( # 61AEE4) 15 (#61AEE4) 15 ( # AE6EE6) 15 (#AE6EE6)
14.75 ( # 338D02) 14.75 (#338D02) 16.25 ( # E685B8) 16.25 (#E685B8) 16.25 ( # 5BABE3) 16.25 (#5BABE3) 16.25 ( # AB6AE4) 16.25 (#AB6AE4)
16 ( # 298802) 16 (#298802) 17.5 ( # E682B6) 17.5 (#E682B6) 17.5 ( # 56A8E2) 17.5 (#56A8E2) 17.5 ( # A967E3) 17.5 (#A967E3)
17.25 ( # 1F8302) 17.25 (#1F8302) 18.75 ( # E67FB5) 18.75 (#E67FB5) 18.75 ( # 50A5E1) 18.75 (#50A5E1) 18.75 ( # A764E2) 18.75 (#A764E2)
17.75 ( # 1B8103) 17.75 (#1B8103) 20 ( # E67DB4) 20 (#E67DB4) 20 ( # 4BA2E0) 20 (#4BA2E0) 20 ( # A560E1) 20 (#A560E1)
19 ( # 187102) 19 (#187102) 21.25 ( # E275B0) 21.25 (#E275B0) 21.25 ( # 459EDF) 21.25 (#459EDF) 21.25 ( # A35DE0) 21.25 (#A35DE0)
20.25 ( # 166102) 20.25 (#166102) 22.5 ( # DF6DAD) 22.5 (#DF6DAD) 22.5 ( # 409BDE) 22.5 (#409BDE) 22.5 ( # A15ADF) 22.5 (#A15ADF)
20.75 ( # 165B02) 20.75 (#165B02) 23.75 ( # DC66AA) 23.75 (#DC66AA) 23.75 ( # 3A98DD) 23.75 (#3A98DD) 23.75 ( # 9F56DE) 23.75 (#9F56DE)
22 ( # 135001) 22 (#135001) 25 ( # D85EA6) 25 (#D85EA6) 25 ( # 3595DC) 25 (#3595DC) 25 ( # 9D53DD) 25 (#9D53DD)
23.25 ( # 114501) 23.25 (#114501) 26.25 ( # D556A3) 26.25 (#D556A3) 26.25 ( # 2F92DB) 26.25 (#2F92DB) 26.25 ( # 9B50DC) 26.25 (#9B50DC)
24.5 ( # 0F3A01) 24.5 (#0F3A01) 27.5 ( # D24FA0) 27.5 (#D24FA0) 27.5 ( # 2A8FDB) 27.5 (#2A8FDB) 27.5 ( # 9648DA) 27.5 (#9648DA)
25.75 ( # 124C01) 25.75 (#124C01) 28.75 ( # CE479E) 28.75 (#CE479E) 28.75 ( # 2581DE) 28.75 (#2581DE) 28.75 ( # 9241D9) 28.75 (#9241D9)
27 ( # 114401) 27 (#114401) 30 ( # CB409C) 30 (#CB409C) 30 ( # 2173E2) 30 (#2173E2) 30 ( # 8E39D8) 30 (#8E39D8)
28.25 ( # 0F3D01) 28.25 (#0F3D01) 31.25 ( # C7399A) 31.25 (#C7399A) 31.25 ( # 1C66E5) 31.25 (#1C66E5) 31.25 ( # 8A32D7) 31.25 (#8A32D7)
28.75 ( # 0F3A01) 28.75 (#0F3A01) 32.5 ( # C43298) 32.5 (#C43298) 32.5 ( # 1858E9) 32.5 (#1858E9) 32.5 ( # 862ED2) 32.5 (#862ED2)
30 ( # 375401) 30 (#375401) 33.75 ( # C12B96) 33.75 (#C12B96) 33.75 ( # 144BED) 33.75 (#144BED) 33.75 ( # 832BCE) 33.75 (#832BCE)
31.25 ( # 5F6E01) 31.25 (#5F6E01) 35 ( # BD2494) 35 (#BD2494) 35 ( # 1348EA) 35 (#1348EA) 35 ( # 7F28C9) 35 (#7F28C9)
32.5 ( # 878801) 32.5 (#878801) 36.25 ( # BA1D92) 36.25 (#BA1D92) 36.25 ( # 1246E7) 36.25 (#1246E7) 36.25 ( # 7C25C5) 36.25 (#7C25C5)
33.75 ( # AFA201) 33.75 (#AFA201) 37.5 ( # B71691) 37.5 (#B71691) 37.5 ( # 1144E4) 37.5 (#1144E4) 37.5 ( # 7822C1) 37.5 (#7822C1)
35 ( # D7BC01) 35 (#D7BC01) 38.75 ( # B51690) 38.75 (#B51690) 38.75 ( # 1142E1) 38.75 (#1142E1) 38.75 ( # 751FBC) 38.75 (#751FBC)
36.25 ( # FFD701) 36.25 (#FFD701) 40 ( # B3168F) 40 (#B3168F) 40 ( # 1040DE) 40 (#1040DE) 40 ( # 711CB8) 40 (#711CB8)
37.5 ( # FEB805) 37.5 (#FEB805) 41.25 ( # B1168E) 41.25 (#B1168E) 41.25 ( # 0F3EDB) 41.25 (#0F3EDB) 41.25 ( # 6E19B4) 41.25 (#6E19B4)
38.75 ( # FCAB06) 38.75 (#FCAB06) 42.5 ( # AF168D) 42.5 (#AF168D) 42.5 ( # 0F3CD8) 42.5 (#0F3CD8) 42.5 ( # 6D18B4) 42.5 (#6D18B4)
40 ( # FA9E07) 40 (#FA9E07) 43.75 ( # AD168C) 43.75 (#AD168C) 43.75 ( # 0E3AD5) 43.75 (#0E3AD5) 43.75 ( # 6D17B4) 43.75 (#6D17B4)
41.25 ( # F89209) 41.25 (#F89209) 45 ( # AB168B) 45 (#AB168B) 45 ( # 0D38D2) 45 (#0D38D2) 45 ( # 6D16B4) 45 (#6D16B4)
42.5 ( # F05514) 42.5 (#F05514) 46.25 ( # A9168A) 46.25 (#A9168A) 46.25 ( # 0C36CF) 46.25 (#0C36CF) 46.25 ( # 6C15B4) 46.25 (#6C15B4)
43.75 ( # E74111) 43.75 (#E74111) 47.5 ( # A81689) 47.5 (#A81689) 47.5 ( # 0C34CC) 47.5 (#0C34CC) 47.5 ( # 6C14B5) 47.5 (#6C14B5)
45 ( # DF2D0F) 45 (#DF2D0F) 48.75 ( # A61688) 48.75 (#A61688) 48.75 ( # 0B32C9) 48.75 (#0B32C9) 48.75 ( # 6C13B5) 48.75 (#6C13B5)
45.5 ( # DC250E) 45.5 (#DC250E) 50 ( # A41687) 50 (#A41687) 50 ( # 0A30C6) 50 (#0A30C6) 50 ( # 6B12B5) 50 (#6B12B5)
46.75 ( # D21C0C) 46.75 (#D21C0C) 51.25 ( # A21686) 51.25 (#A21686) 51.25 ( # 0A2EC4) 51.25 (#0A2EC4) 51.25 ( # 6B11B5) 51.25 (#6B11B5)
48 ( # C9140A) 48 (#C9140A) 52.5 ( # A01685) 52.5 (#A01685) 52.5 ( # 092BC1) 52.5 (#092BC1) 52.5 ( # 6B10B6) 52.5 (#6B10B6)
49.25 ( # BF0C09) 49.25 (#BF0C09) 53.75 ( # 9E1684) 53.75 (#9E1684) 53.75 ( # 0929BF) 53.75 (#0929BF) 53.75 ( # 6A0FB6) 53.75 (#6A0FB6)
50 ( # BA0808) 50 (#BA0808) 55 ( # 9C1683) 55 (#9C1683) 55 ( # 0826BC) 55 (#0826BC) 55 ( # 6A0EB6) 55 (#6A0EB6)
56.25 ( # 6f031b) 56.25 (#6f031b) 56.25 ( # 9B1682) 56.25 (#9B1682) 56.25 ( # 0824BA) 56.25 (#0824BA) 56.25 ( # 6A0DB6) 56.25 (#6A0DB6)
57.5 ( # 9f0143) 57.5 (#9f0143) 57.5 ( # 981580) 57.5 (#981580) 57.5 ( # 0721B7) 57.5 (#0721B7) 57.5 ( # 690CB6) 57.5 (#690CB6)
58.75 ( # c10060) 58.75 (#c10060) 58.75 ( # 96157F) 58.75 (#96157F) 58.75 ( # 071FB5) 58.75 (#071FB5) 58.75 ( # 690CB7) 58.75 (#690CB7)
60 ( # e70086) 60 (#e70086) 60 ( # 94157E) 60 (#94157E) 60 ( # 071DB3) 60 (#071DB3) 60 ( # 690BB7) 60 (#690BB7)
61.25 ( # e205a0) 61.25 (#e205a0) 61.25 ( # 92157D) 61.25 (#92157D) 61.25 ( # 061AB0) 61.25 (#061AB0) 61.25 ( # 680AB7) 61.25 (#680AB7)
62.5 ( # cc09ac) 62.5 (#cc09ac) 62.5 ( # 90157C) 62.5 (#90157C) 62.5 ( # 0618AE) 62.5 (#0618AE) 62.5 ( # 6809B7) 62.5 (#6809B7)
63.75 ( # b50eb7) 63.75 (#b50eb7) 63.75 ( # 8D157A) 63.75 (#8D157A) 63.75 ( # 0515AB) 63.75 (#0515AB) 63.75 ( # 6808B8) 63.75 (#6808B8)
65 ( # 9315c8) 65 (#9315c8) 65 ( # 8B1579) 65 (#8B1579) 65 ( # 0513A9) 65 (#0513A9) 65 ( # 6707B8) 65 (#6707B8)
66.25 ( # 8f21cc) 66.25 (#8f21cc) 66.25 ( # 891578) 66.25 (#891578) 66.25 ( # 0410A6) 66.25 (#0410A6) 66.25 ( # 6706B8) 66.25 (#6706B8)
67.5 ( # 983acb) 67.5 (#983acb) 67.5 ( # 871577) 67.5 (#871577) 67.5 ( # 040EA4) 67.5 (#040EA4) 67.5 ( # 6705B8) 67.5 (#6705B8)
68.75 ( # 9d49cb) 68.75 (#9d49cb) 68.75 ( # 851576) 68.75 (#851576) 68.75 ( # 040CA2) 68.75 (#040CA2) 68.75 ( # 6604B8) 68.75 (#6604B8)
70 ( # a661ca) 70 (#a661ca) 70 ( # 821574) 70 (#821574) 70 ( # 03099F) 70 (#03099F) 70 ( # 6603B9) 70 (#6603B9)
71.25 ( # ad72c9) 71.25 (#ad72c9) 71.25 ( # 801573) 71.25 (#801573) 71.25 ( # 03079D) 71.25 (#03079D) 71.25 ( # 6602B9) 71.25 (#6602B9)
72.5 ( # b78bc6) 72.5 (#b78bc6) 72.5 ( # 7E1572) 72.5 (#7E1572) 72.5 ( # 02049A) 72.5 (#02049A) 72.5 ( # 6501B9) 72.5 (#6501B9)
73.75 ( # bf9bc4) 73.75 (#bf9bc4) 73.75 ( # 7C1571) 73.75 (#7C1571) 73.75 ( # 020298) 73.75 (#020298) 73.75 ( # 6500B9) 73.75 (#6500B9)
75 ( # c9b5c2) 75 (#c9b5c2) 75 ( # 7A1570) 75 (#7A1570) 75 ( # 020096) 75 (#020096) 75 ( # 6500BA) 75 (#6500BA)

附属图像Satellite Images

下表提供了一些指导,解释如何按温度显示云,以及如何创建这些图块的地图图例。The table below provides guidance to interpret the infrared satellite images showing clouds by their temperature and how to create a map legend for these tiles.

十六进制颜色代码Hex color code 颜色示例Color sample 云温度Cloud Temperature
#b5b5b5#b5b5b5 #B5b5b5 的颜色磁贴。 Temperature-LowTemperature-Low
#d24fa0#d24fa0 #D24fa0 的颜色磁贴。
#8a32d7#8a32d7 #8a32d7 的颜色磁贴。
#144bed#144bed #144bed 的颜色磁贴。
#479702#479702 #479702 的颜色磁贴。
#72b403#72b403 #72b403 的颜色磁贴。
#93c701#93c701 #93c701 的颜色磁贴。
#ffd701#ffd701 #Ffd701 的颜色磁贴。
#f05514#f05514 #F05514 的颜色磁贴。
#dc250e#dc250e #Dc250e 的颜色磁贴。
#ba0808#ba0808 #Ba0808 的颜色磁贴。
#1f1f1f#1f1f1f #1f1f1f 的颜色磁贴。 Temperature-HighTemperature-High

红外卫星磁贴的详细调色板如下所示。Detailed color palette for infrared satellite tiles is shown below.

**Temp (K) **Temp (K) 十六进制颜色代码Hex color code
198198 #fe050505#fe050505
198.43198.43 #fe120505#fe120505
198.87198.87 #fc1f0505#fc1f0505
199.3199.3 #fc2c0606#fc2c0606
199.74199.74 #fa390606#fa390606
200.17200.17 #fa460606#fa460606
200.61200.61 #f8530606#f8530606
201.04201.04 #f8600707#f8600707
201.48201.48 #f66c0707#f66c0707
201.91201.91 #f6790707#f6790707
202.35202.35 #f4860707#f4860707
202.78202.78 #f4930707#f4930707
203.22203.22 #f2a00808#f2a00808
203.65203.65 #f2ad0808#f2ad0808
204.09204.09 #f0ba0808#f0ba0808
204.52204.52 #f0bd0a09#f0bd0a09
204.96204.96 #eec00d09#eec00d09
205.39205.39 #eec30f0a#eec30f0a
205.83205.83 #ecc5120a#ecc5120a
206.26206.26 #ecc8140b#ecc8140b
206.7206.7 #eacb170b#eacb170b
207.13207.13 #eace190c#eace190c
207.57207.57 #e8d11b0c#e8d11b0c
208208 #e8d41e0d#e8d41e0d
208.43208.43 #e6d6200d#e6d6200d
208.87208.87 #e6d9230e#e6d9230e
209.3209.3 #e4dc250e#e4dc250e
209.74209.74 #e4df2c0f#e4df2c0f
210.17210.17 #e2e23310#e2e23310
210.61210.61 #e2e53a11#e2e53a11
211.04211.04 #e0e73a11#e0e73a11
211.48211.48 #e0ea4712#e0ea4712
211.91211.91 #deed4e13#deed4e13
212.35212.35 #def05514#def05514
212.78212.78 #dcf15e13#dcf15e13
213.22213.22 #dcf26811#dcf26811
213.65213.65 #daf37110#daf37110
214.09214.09 #daf47a0f#daf47a0f
214.52214.52 #d8f5830d#d8f5830d
214.96214.96 #d8f68d0c#d8f68d0c
215.39215.39 #d6f8960b#d6f8960b
215.83215.83 #d6f99f09#d6f99f09
216.26216.26 #d4faa908#d4faa908
216.7216.7 #d4fbb206#d4fbb206
217.13217.13 #d2fcbb05#d2fcbb05
217.57217.57 #d2fdc404#d2fdc404
218218 #d0fece02#d0fece02
218.43218.43 #d0ffd701#d0ffd701
218.87218.87 #cef8d601#cef8d601
219.3219.3 #cef2d501#cef2d501
219.74219.74 #ccebd401#ccebd401
220.17220.17 #cce4d301#cce4d301
220.61220.61 #caddd201#caddd201
221.04221.04 #cad7d101#cad7d101
221.48221.48 #c8d0d001#c8d0d001
221.91221.91 #c8c9cf01#c8c9cf01
222.35222.35 #c6c2ce01#c6c2ce01
222.78222.78 #c6bccd01#c6bccd01
223.22223.22 #c4b5cc01#c4b5cc01
223.65223.65 #c4aecb01#c4aecb01
224.09224.09 #c2a7ca01#c2a7ca01
224.52224.52 #c2a1c901#c2a1c901
224.96224.96 #c09ac801#c09ac801
225.39225.39 #c093c701#c093c701
225.83225.83 #be90c501#be90c501
226.26226.26 #be8ec401#be8ec401
226.7226.7 #bc8bc202#bc8bc202
227.13227.13 #bc88c102#bc88c102
227.57227.57 #ba85bf02#ba85bf02
228228 #ba83be02#ba83be02
228.43228.43 #b880bc02#b880bc02
228.87228.87 #b87dba02#b87dba02
229.3229.3 #b678b703#b678b703
229.74229.74 #b675b603#b675b603
230.17230.17 #b472b403#b472b403
230.61230.61 #b46eb203#b46eb203
231.04231.04 #b26bb203#b26bb203
231.48231.48 #b267ad03#b267ad03
231.97231.97 #b064aa03#b064aa03
232.35232.35 #b060a803#b060a803
232.78232.78 #ae5da603#ae5da603
233.22233.22 #ae59a302#ae59a302
233.65233.65 #ac55a102#ac55a102
234.09234.09 #ac529e02#ac529e02
234.52234.52 #aa4e9c02#aa4e9c02
234.96234.96 #aa4b9902#aa4b9902
235.39235.39 #a8479702#a8479702
235.83235.83 #a845940b#a845940b
236.26236.26 #a6439115#a6439115
236.7236.7 #a6418e1e#a6418e1e
237.13237.13 #a43f8b28#a43f8b28
237.57237.57 #a43d8831#a43d8831
238238 #a23b853a#a23b853a
238.43238.43 #a2398244#a2398244
238.87238.87 #a0377f4d#a0377f4d
239.3239.3 #a0357c57#a0357c57
239.74239.74 #9e337960#9e337960
240.17240.17 #9e317669#9e317669
240.61240.61 #9c2f7373#9c2f7373
241.04241.04 #9c2c6f7c#9c2c6f7c
241.48241.48 #9a2a6c86#9a2a6c86
241.91241.91 #9a28698f#9a28698f
242.35242.35 #98266698#98266698
242.78242.78 #982463a2#982463a2
243.22243.22 #962260ab#962260ab
243.65243.65 #96205db5#96205db5
244.09244.09 #941e5abe#941e5abe
244.52244.52 #941c57c7#941c57c7
244.85244.85 #921a54d1#921a54d1
245.39245.39 #921851da#921851da
245.83245.83 #90164ee4#90164ee4
246.26246.26 #90144bed#90144bed
246.7246.7 #8e2148eb#8e2148eb
247.13247.13 #8e2e45e8#8e2e45e8
247.57247.57 #8c3b43e6#8c3b43e6
248248 #8c4840e3#8c4840e3
248.43248.43 #8a563de1#8a563de1
248.87248.87 #8a633ade#8a633ade
249.3249.3 #887038dc#887038dc
249.74249.74 #887d35d9#887d35d9
250.17250.17 #868a32d7#868a32d7
250.61250.61 #869034d2#869034d2
251.04251.04 #849637ce#849637ce
251.48251.48 #849c39c9#849c39c9
251.91251.91 #82a23cc5#82a23cc5
252.35252.35 #82a83ec0#82a83ec0
252.78252.78 #80ae41bc#80ae41bc
253.22253.22 #80b443b7#80b443b7
253.65253.65 #7eba45b2#7eba45b2
253.09253.09 #7ec048ae#7ec048ae
254.52254.52 #7cc64aa9#7cc64aa9
254.96254.96 #7ccc4da5#7ccc4da5
255.39255.39 #7ad24fa0#7ad24fa0
255.83255.83 #7ad85fac#7ad85fac
256.26256.26 #78dd6eb8#78dd6eb8
256.7256.7 #78e37ec4#78e37ec4
257.13257.13 #76e98ed0#76e98ed0
257.57257.57 #76ee9ddb#76ee9ddb
258258 #74f4ade7#74f4ade7
258.43258.43 #74f9bcf3#74f9bcf3
258.87258.87 #72ffccff#72ffccff
259.3259.3 #71ffffff#71ffffff
259.74259.74 #71fcfcfc#71fcfcfc
260.17260.17 #6ff6f6f6#6ff6f6f6
260.61260.61 #6ff6f6f6#6ff6f6f6
261.04261.04 #6df3f3f3#6df3f3f3
261.48261.48 #6df3f3f3#6df3f3f3
261.91261.91 #6bededed#6bededed
262.35262.35 #6bededed#6bededed
262.78262.78 #69e7e7e7#69e7e7e7
263.22263.22 #69e7e7e7#69e7e7e7
263.65263.65 #67e1e1e1#67e1e1e1
264.09264.09 #67e1e1e1#67e1e1e1
264.52264.52 #65dedede#65dedede
264.96264.96 #65dedede#65dedede
265.39265.39 #63d8d8d8#63d8d8d8
265.83265.83 #63d8d8d8#63d8d8d8
265.84265.84 #61d1d1d1#61d1d1d1
266.26266.26 #61d1d1d1#61d1d1d1
267.13267.13 #5fcecece#5fcecece
267.57267.57 #5fcecece#5fcecece
268268 #5dc8c8c8#5dc8c8c8
268.43268.43 #5dc8c8c8#5dc8c8c8
268.87268.87 #5bc2c2c2#5bc2c2c2
269.3269.3 #5bc2c2c2#5bc2c2c2
269.74269.74 #59bcbcbc#59bcbcbc
270.17270.17 #59bcbcbc#59bcbcbc
270.61270.61 #57b9b9b9#57b9b9b9
271.04271.04 #57b9b9b9#57b9b9b9
271.48271.48 #55b3b3b3#55b3b3b3
271.91271.91 #55b3b3b3#55b3b3b3
272.35272.35 #53adadad#53adadad
272.78272.78 #53adadad#53adadad
273.22273.22 #51aaaaaa#51aaaaaa
273.65273.65 #51aaaaaa#51aaaaaa
274.09274.09 #4fa4a4a4#4fa4a4a4
274.52274.52 #4fa4a4a4#4fa4a4a4
274.96274.96 #4d9e9e9e#4d9e9e9e
275.39275.39 #4d9e9e9e#4d9e9e9e
275.83275.83 #4b989898#4b989898
276.26276.26 #4b989898#4b989898
276.7276.7 #49959595#49959595
277.13277.13 #49959595#49959595
277.57277.57 #478f8f8f#478f8f8f
278278 #478f8f8f#478f8f8f
278.43278.43 #45898989#45898989
278.87278.87 #45898989#45898989
279.2279.2 #43868686#43868686
279.74279.74 #43868686#43868686
280.17280.17 #417f7f7f#417f7f7f
280.61280.61 #417f7f7f#417f7f7f
281.04281.04 #3f797979#3f797979
281.48281.48 #3f797979#3f797979
281.91281.91 #3d737373#3d737373
282.35282.35 #3d737373#3d737373
282.78282.78 #3b707070#3b707070
283.22283.22 #3b707070#3b707070
283.65283.65 #396a6a6a#396a6a6a
284.09284.09 #396a6a6a#396a6a6a
284.52284.52 #37646464#37646464
284.96284.96 #37646464#37646464
285.39285.39 #35616161#35616161
285.83285.83 #35616161#35616161
286.26286.26 #335b5b5b#335b5b5b
286.7286.7 #335b5b5b#335b5b5b
287.13287.13 #31555555#31555555
287.57287.57 #31555555#31555555
288288 #2f4f4f4f#2f4f4f4f
288.43288.43 #2f4f4f4f#2f4f4f4f
288.87288.87 #2d4c4c4c#2d4c4c4c
289.3289.3 #2d4c4c4c#2d4c4c4c
289.74289.74 #2b464646#2b464646
290.17290.17 #2b464646#2b464646
290.61290.61 #29404040#29404040
291.04291.04 #29404040#29404040
291.48291.48 #273d3d3d#273d3d3d
291.91291.91 #273d3d3d#273d3d3d
292.35292.35 #25373737#25373737
292.78292.78 #25373737#25373737
293.22293.22 #23313131#23313131
293.65293.65 #23313131#23313131
294.09294.09 #212a2a2a#212a2a2a
294.52294.52 #212a2a2a#212a2a2a
294.96294.96 #1f272727#1f272727
295.39295.39 #1f272727#1f272727
295.83295.83 #1d212121#1d212121
296.26296.26 #1d212121#1d212121
296.7296.7 #1b1b1b1b#1b1b1b1b
297.13297.13 #1b1b1b1b#1b1b1b1b
297.57297.57 #19181818#19181818
298298 #19181818#19181818
298.43298.43 #17121212#17121212
298.87298.87 #17121212#17121212
299.3299.3 #150c0c0c#150c0c0c
299.74299.74 #150c0c0c#150c0c0c
300.17300.17 #13060606#13060606
300.61300.61 #13060606#13060606
301.04301.04 #11000000#11000000
301.48301.48 #11000000#11000000
301.91301.91 #0f797979#0f797979
302.35302.35 #0f797979#0f797979
302.78302.78 #0d737373#0d737373
303.22303.22 #0d737373#0d737373
303.65303.65 #0b6d6d6d#0b6d6d6d
304.09304.09 #0b6d6d6d#0b6d6d6d
304.52304.52 #09676767#09676767
304.92304.92 #09676767#09676767
305.39305.39 #07616161#07616161
305.83305.83 #07616161#07616161
306.26306.26 #055b5b5b#055b5b5b
306.7306.7 #055b5b5b#055b5b5b
307.13307.13 #02555555#02555555
307.57307.57 #02555555#02555555
308308 #00525252#00525252
308308 #00525252#00525252

索引 Id 和索引组 IdIndex IDs and Index Groups IDs

获取每日索引 API 允许用户将返回的结果限制为特定的索引类型或索引组。Get Daily Indices API allows users to restrict returned results to specific index types or index groups.

下面是一个表,其中列出了可用的索引 Id、它们的名称以及指向它们的范围集的链接。Below is a table of available index IDs, their names, and a link to their range sets. 下表列出了列出各种索引组的表。Below this table is a table listing the various index groups.

Index NameIndex Name IDID 值范围Value Range
Arthritis 难点Arthritis Pain 2121 有利-面临极大风险Beneficial-At Extreme Risk
AsthmaAsthma 2323 有利-面临极大风险Beneficial-At Extreme Risk
海滩 & 池Beach & Pool 1010 不良-优秀1Poor-Excellent 1
BicyclingBicycling 44 不良-优秀1Poor-Excellent 1
常见冷Common Cold 2525 有利-面临极大风险Beneficial-At Extreme Risk
CompostingComposting 3838 不良-优秀1Poor-Excellent 1
建筑Construction 1414 不良-优秀1Poor-Excellent 1
COPDCOPD 4444 有利-面临极大风险Beneficial-At Extreme Risk
狗浏览Dog Walking Comfort 4343 不良-优秀1Poor-Excellent 1
驾车Driving 4040 不良-优秀2Poor-Excellent 2
灰尘 & DanderDust & Dander 1818 低-至尊1Low-Extreme 1
现场准备情况Field Readiness 3232 不良-优秀1Poor-Excellent 1
钓鱼Fishing 1313 不良-优秀1Poor-Excellent 1
航班延迟Flight Delays -3-3 很可能 Unlikely-Very 2Very Unlikely-Very Likely 2
流感Flu 2626 有利-面临极大风险Beneficial-At Extreme Risk
飞行旅行索引Flying Travel Index 3131 极佳-差Excellent-Poor
燃油经济Fuel Economy 3737 不良-优秀1Poor-Excellent 1
高尔夫天气Golf Weather 55 不良-优秀1Poor-Excellent 1
草地成长Grass Growing 3333 不良-优秀1Poor-Excellent 1
头发 FrizzHair Frizz 4242 不太可能-紧急事件Unlikely-Emergency
健康Healthy Heart Fitness 1616 不良-优秀1Poor-Excellent 1
徒步旅行Hiking 33 不良-优秀1Poor-Excellent 1
家庭能源效率Home Energy Efficiency 3636 不良-优秀1Poor-Excellent 1
搜寻Hunting 2020 不良-优秀1Poor-Excellent 1
室内活动Indoor Activity -2-2 不良-优秀1Poor-Excellent 1
JoggingJogging 22 不良-优秀1Poor-Excellent 1
Kite 飞行Kite Flying 99 不良-优秀1Poor-Excellent 1
草地 MowingLawn Mowing 2828 不良-优秀1Poor-Excellent 1
Migraine 麻烦Migraine Headache 2727 有利-面临极大风险Beneficial-At Extreme Risk
早上 School 客车Morning School Bus 3535 不良-优秀1Poor-Excellent 1
Mosquito 活动Mosquito Activity 1717 低-至尊1Low-Extreme 1
户外活动Outdoor Activity 2929 不良-优秀1Poor-Excellent 1
户外 BarbecueOutdoor Barbecue 2424 不良-优秀1Poor-Excellent 1
户外音乐会Outdoor Concert 88 不良-优秀1Poor-Excellent 1
运行Running 11 不良-优秀1Poor-Excellent 1
搭档Tennis 66 不良-优秀1Poor-Excellent 1
ThirstThirst 4141 低-至尊2Low-Extreme 2
航海Sailing 1111 不良-优秀1Poor-Excellent 1
购物Shopping 3939 不良-优秀1Poor-Excellent 1
Sinus 麻烦Sinus Headache 3030 有利-面临极大风险Beneficial-At Extreme Risk
SkateboardingSkateboarding 77 不良-优秀1Poor-Excellent 1
滑雪天气Ski Weather 1515 不良-优秀1Poor-Excellent 1
雪天Snow Days 1919 很可能 Unlikely-VeryVery Unlikely-Very Likely
土料湿气Soil Moisture 3434 不良-优秀1Poor-Excellent 1
StargazingStargazing 1212 不良-优秀1Poor-Excellent 1

下表列出了可用的索引组 (indexGroupId) :Below is the list of available Index groups (indexGroupId):

IDID 组名Group Name 此组中的索引Indices in this group
11 AllAll AllAll
22 Aches 和难题Aches and Pains Arthritis 难点 (21) Arthritis Pain (21)
Migraine 难题 (27) Migraine Headache (27)
Sinus 的麻烦 (30) Sinus Headache (30)
33 RespiratoryRespiratory Asthma (23) Asthma (23)
常见冷 (25) Common Cold (25)
流感预测 (26) Flu Forecast (26)
44 Gardening 现场就绪 (32) Field Readiness (32)
草地 Mowing (28) Lawn Mowing (28)
土潮湿 (34) Soil Moisture (34)
55 保护Environmental 合成 (38) Compositing (38)
家庭能源效率 (36) Home Energy Efficiency (36)
37 (燃料经济) Fuel Economy (37)
66 户外生活Outdoor Living 户外 Barbecue (24) Outdoor Barbecue (24)
Mosquito 活动 (17) Mosquito Activity (17)
77 海滩和海军Beach and Marine 海滩 & 池 (10) Beach & Pool (10)
钓鱼 (13) Fishing (13)
航海 (11) Sailing (11)
88 SportsmanSportsman 钓鱼 (13) Fishing (13)
搜寻 (20) Hunting (20)
户外活动 (29) Outdoor Activity (29)
99 Farming 现场就绪 (32) Field Readiness (32)
土潮湿 (34) Soil Moisture (34)
1010 健康产业Health Arthritis 难点 (21) Arthritis Pain (21)
Asthma (23) Asthma (23)
常见冷 (25) Common Cold (25)
灰尘 & Dander (18) Dust & Dander (18)
流感 (26) Flu (26)
健康 (16) Healthy Heart Fitness (16)
Migraine 难题 (27) Migraine Headache (27)
1111 户外Outdoor 户外 Barbecue (24) Outdoor Barbecue (24)
海滩 & 池 (10) Beach & Pool (10)
Bicycling (4) Bicycling (4)
户外音乐会 (8) Outdoor Concert (8)
现场就绪 (32) Field Readiness (32)
钓鱼 (13) Fishing (13)
高尔夫天气 (5) Golf Weather (5)
徒步旅行 (3) Hiking (3)
搜寻 (20) Hunting (20)
Jogging (2) Jogging (2)
Kite 飞行 (9) Kite Flying (9)
Mosquito 活动 (17) Mosquito Activity (17)
草地 Mowing (28) Lawn Mowing (28)
户外活动 (29) Outdoor Activity (29)
运行 (1) Running (1)
航海 (11) Sailing (11)
Skateboarding (7) Skateboarding (7)
滑雪天气 (15) Ski Weather (15)
土潮湿 (34) Soil Moisture (34)
Stargazing (12) Stargazing (12)
网球 (6) Tennis (6)
1212 运动Sporting Bicycling (4) Bicycling (4)
高尔夫天气 (5) Golf Weather (5)
徒步旅行 (3) Hiking (3)
Jogging (2) Jogging (2)
运行 (1) Running (1)
Skateboarding (7) Skateboarding (7)
滑雪天气 (15) Ski Weather (15)
网球 (6) Tennis (6)
1313 主页Home 家庭能源效率 (36) Home Energy Efficiency (36)
37 (燃料经济) Fuel Economy (37)
室内活动 (-2) Indoor Activity (-2)

每日索引范围集Daily index range sets

获取每日索引 API 将返回每个索引 ID 的范围值及其关联的类别名称。Get Daily Indices API returns the ranged value and its associated category name for each index ID. 所有索引的范围集不同。Range sets are not the same for all indices. 下表显示了 索引 id 和索引组 id中列出的支持索引所使用的各种范围集。The tables below show the various range sets used by the supported indices listed in Index IDs and index groups IDs. 若要找出哪些索引使用哪些范围集,请参阅本文档的 索引 id 和索引组 id 部分。To find out which indices use which range sets, go to the Index IDs and Index Groups IDs section of this document.

Poor-Excellent 1Poor-Excellent 1

Category NameCategory Name 开始范围Begin Range 结束范围End Range
Poor 00 2.992.99
一般Fair 33 4.994.99
Good 55 6.996.99
非常好Very Good 77 8.998.99
优秀Excellent 99 1010

Poor-Excellent 2Poor-Excellent 2

Category NameCategory Name 开始范围Begin Range 结束范围End Range
Poor 00 33
一般Fair 3.013.01 66
Good 6.016.01 7.57.5
非常好Very Good 7.517.51 8.998.99
优秀Excellent 99 1010

Excellent-PoorExcellent-Poor

Category NameCategory Name 开始范围Begin Range 结束范围End Range
优秀Excellent 0.000.00 1.001.00
非常好Very Good 1.011.01 3.003.00
Good 3.013.01 5.005.00
一般Fair 5.015.01 7.007.00
Poor 7.017.01 10.0010.00

Low-Extreme 1Low-Extreme 1

Category NameCategory Name 开始范围Begin Range 结束范围End Range
Low 00 1.991.99
中等Moderate 22 3.993.99
High 44 5.995.99
很高Very High 66 7.997.99
极高Extreme 88 1010

Low-Extreme 2Low-Extreme 2

Category NameCategory Name 开始范围Begin Range 结束范围End Range
Low 00 2.992.99
中等Moderate 33 4.994.99
High 55 6.996.99
很高Very High 77 8.998.99
极高Extreme 99 1010

很可能 Unlikely-VeryVery Unlikely-Very Likely

Category NameCategory Name 开始范围Begin Range 结束范围End Range
很少Very Unlikely 00 1.991.99
具备Unlikely 22 3.993.99
尽量Possibly 44 5.995.99
越大Likely 66 7.997.99
很可能Very Likely 88 1010

很可能 Unlikely-Very 2Very Unlikely-Very Likely 2

Category NameCategory Name 开始范围Begin Range 结束范围End Range
很少Very Unlikely 0.000.00 1.001.00
具备Unlikely 1.011.01 3.003.00
尽量Possibly 3.013.01 5.005.00
越大Likely 5.015.01 7.007.00
很可能Very Likely 7.017.01 10.0010.00

Unlikely-EmergencyUnlikely-Emergency

Category NameCategory Name 开始范围Begin Range 结束范围End Range
具备Unlikely 00 2.992.99
监视Watch 33 4.994.99
公告Advisory 55 6.996.99
警告Warning 77 8.998.99
紧急情况Emergency 99 1010

Beneficial-At 极端风险Beneficial-At Extreme Risk

Category NameCategory Name 开始范围Begin Range 结束范围End Range
有所Beneficial 00 1.991.99
中立Neutral 22 3.993.99
存在风险At Risk 44 5.995.99
高风险At High Risk 66 7.997.99
面临极大风险At Extreme Risk 88 1010