Weather services in Azure Maps
This article introduces concepts that apply to Azure Maps Weather services. We recommend going through this article before starting out with the weather APIs.
Unit types
Some of the Weather service APIs allow user to specify if the data is returned either in metric or in imperial units. The returned responses for these APIs include unitType and a numeric value that can be used for unit translations. See the following table to interpret these values.
| unitType | Description |
|---|---|
| 0 | feet |
| 1 | inches |
| 2 | miles |
| 3 | millimeter |
| 4 | centimeter |
| 5 | meter |
| 6 | kilometer |
| 7 | kilometersPerHour |
| 8 | knots |
| 9 | milesPerHour |
| 10 | metersPerSecond |
| 11 | hectoPascals |
| 12 | inchesOfMercury |
| 13 | kiloPascals |
| 14 | millibars |
| 15 | millimetersOfMercury |
| 16 | poundsPerSquareInch |
| 17 | celsius |
| 18 | fahrenheit |
| 19 | kelvin |
| 20 | percent |
| 21 | float |
| 22 | integer |
| 31 | MicrogramsPerCubicMeterOfAir |
Weather icons
Some of the Weather service APIs return the iconCode in the response. The iconCode is a numeric value used to define the icon. Don't link directly to these images from your applications, the URLs can change.
| Icon Number | Icon | Day | Night | Text |
|---|---|---|---|---|
| 1 | 
|
Yes | No | Sunny |
| 2 | 
|
Yes | No | Mostly Sunny |
| 3 | 
|
Yes | No | Partly Sunny |
| 4 | 
|
Yes | No | Intermittent Clouds |
| 5 | 
|
Yes | No | Hazy Sunshine |
| 6 | 
|
Yes | No | Mostly Cloudy |
| 7 | 
|
Yes | Yes | Cloudy |
| 8 | 
|
Yes | Yes | Dreary (Overcast) |
| 11 | 
|
Yes | Yes | Fog |
| 12 | 
|
Yes | Yes | Showers |
| 13 | 
|
Yes | No | Mostly Cloudy with Showers |
| 14 | 
|
Yes | No | Partly Sunny with Showers |
| 15 | 
|
Yes | Yes | Thunderstorms |
| 16 | 
|
Yes | No | Mostly Cloudy with Thunderstorms |
| 17 | 
|
Yes | No | Partly Sunny with Thunderstorms |
| 18 | 
|
Yes | Yes | Rain |
| 19 | 
|
Yes | Yes | Flurries |
| 20 | 
|
Yes | No | Mostly Cloudy with Flurries |
| 21 | 
|
Yes | No | Partly Sunny with Flurries |
| 22 | 
|
Yes | Yes | Snow |
| 23 | 
|
Yes | No | Mostly Cloudy with Snow |
| 24 | 
|
Yes | Yes | Ice |
| 25 | 
|
Yes | Yes | Sleet |
| 26 | 
|
Yes | Yes | Freezing Rain |
| 29 | 
|
Yes | Yes | Rain and Snow |
| 30 | 
|
Yes | Yes | Hot |
| 31 | 
|
Yes | Yes | Cold |
| 32 | 
|
Yes | Yes | Windy |
| 33 | 
|
No | Yes | Clear |
| 34 | 
|
No | Yes | Mostly Clear |
| 35 | 
|
No | Yes | Partly Cloudy |
| 36 | 
|
No | Yes | Intermittent Clouds |
| 37 | 
|
No | Yes | Hazy Moonlight |
| 38 | 
|
No | Yes | Mostly Cloudy |
| 39 | 
|
No | Yes | Partly Cloudy with Showers |
| 40 | 
|
No | Yes | Mostly Cloudy with Showers |
| 41 | 
|
No | Yes | Partly Cloudy with Thunderstorms |
| 42 | 
|
No | Yes | Mostly Cloudy with Thunderstorms |
| 43 | 
|
No | Yes | Mostly Cloudy with Flurries |
| 44 | 
|
No | Yes | Mostly Cloudy with Snow |
Radar and satellite imagery color scale
Via Get Map Tile v2 API users can request latest radar and infrared satellite images. See the following guide to help interpret colors used for radar and satellite tiles.
Radar Images
The following table provides guidance to interpret the radar images and create a map legend for Radar tile data.
| Hex color code | Color sample | Weather condition |
|---|---|---|
| #93c701 |  |
Rain-Light |
| #ffd701 |  |
Rain-Moderate |
| #f05514 |  |
Rain-Heavy |
| #dc250e |  |
Rain-Severe |
| #9ec8f2 |  |
Snow-Light |
| #2a8fdb |  |
Snow-Moderate |
| #144bed |  |
Snow-Heavy |
| #020096 |  |
Snow-Severe |
| #e6a5c8 |  |
Ice-Light |
| #d24fa0 |  |
Ice-Moderate |
| #b71691 |  |
Ice-Severe |
| #7a1570 |  |
Ice-Heavy |
| #c196e6 |  |
Mix-Light |
| #ae6ee6 |  |
Mix-Moderate |
| #8a32d7 |  |
Mix-Heavy |
| #6500ba |  |
Mix-Severe |
Detailed color palette for radar tiles with Hex color codes and dBZ values is shown in the following table. dBZ represents precipitation intensity in weather radar.
| RAIN | ICE | SNOW | MIXED |
|---|---|---|---|
| dBZ (color) | dBZ (color) | dBZ (color) | dBZ (color) |
| 1.25 (#93C701) | 1.25 (#E6A5C8) | 1.25 (#9EC8F2) | 1.25 (#C196E6) |
| 2.5 (#92C201) | 2.5 (#E6A2C6) | 2.5 (#98C5F0) | 2.5 (#BF92E6) |
| 3.75 (#92BE01) | 3.75 (#E69FC5) | 3.75 (#93C3EF) | 3.75 (#BD8EE6) |
| 5 (#92BA02) | 5 (#E69DC4) | 5 (#8DC1EE) | 5 (#BB8BE6) |
| 6.25 (#92B502) | 6.25 (#E69AC2) | 6.25 (#88BFEC) | 6.25 (#BA87E6) |
| 6.75 (#92B403) | 7.5 (#E697C1) | 7.5 (#82BDEB) | 7.5 (#B883E6) |
| 8 (#80AD02) | 8.75 (#E695C0) | 8.75 (#7DBAEA) | 8.75 (#B680E6) |
| 9.25 (#6FA602) | 10 (#E692BE) | 10 (#77B8E8) | 10 (#B47CE6) |
| 10.5 (#5EA002) | 11.25 (#E68FBD) | 11.25 (#72B6E7) | 11.25 (#B378E6) |
| 11.75 (#4D9902) | 12.5 (#E68DBC) | 12.5 (#6CB4E6) | 12.5 (#B175E6) |
| 12.25 (#479702) | 13.75 (#E68ABA) | 13.75 (#67B2E5) | 13.75 (#AF71E6) |
| 13.5 (#3D9202) | 15 (#E687B9) | 15 (#61AEE4) | 15 (#AE6EE6) |
| 14.75 (#338D02) | 16.25 (#E685B8) | 16.25 (#5BABE3) | 16.25 (#AB6AE4) |
| 16 (#298802) | 17.5 (#E682B6) | 17.5 (#56A8E2) | 17.5 (#A967E3) |
| 17.25 (#1F8302) | 18.75 (#E67FB5) | 18.75 (#50A5E1) | 18.75 (#A764E2) |
| 17.75 (#1B8103) | 20 (#E67DB4) | 20 (#4BA2E0) | 20 (#A560E1) |
| 19 (#187102) | 21.25 (#E275B0) | 21.25 (#459EDF) | 21.25 (#A35DE0) |
| 20.25 (#166102) | 22.5 (#DF6DAD) | 22.5 (#409BDE) | 22.5 (#A15ADF) |
| 20.75 (#165B02) | 23.75 (#DC66AA) | 23.75 (#3A98DD) | 23.75 (#9F56DE) |
| 22 (#135001) | 25 (#D85EA6) | 25 (#3595DC) | 25 (#9D53DD) |
| 23.25 (#114501) | 26.25 (#D556A3) | 26.25 (#2F92DB) | 26.25 (#9B50DC) |
| 24.5 (#0F3A01) | 27.5 (#D24FA0) | 27.5 (#2A8FDB) | 27.5 (#9648DA) |
| 25.75 (#124C01) | 28.75 (#CE479E) | 28.75 (#2581DE) | 28.75 (#9241D9) |
| 27 (#114401) | 30 (#CB409C) | 30 (#2173E2) | 30 (#8E39D8) |
| 28.25 (#0F3D01) | 31.25 (#C7399A) | 31.25 (#1C66E5) | 31.25 (#8A32D7) |
| 28.75 (#0F3A01) | 32.5 (#C43298) | 32.5 (#1858E9) | 32.5 (#862ED2) |
| 30 (#375401) | 33.75 (#C12B96) | 33.75 (#144BED) | 33.75 (#832BCE) |
| 31.25 (#5F6E01) | 35 (#BD2494) | 35 (#1348EA) | 35 (#7F28C9) |
| 32.5 (#878801) | 36.25 (#BA1D92) | 36.25 (#1246E7) | 36.25 (#7C25C5) |
| 33.75 (#AFA201) | 37.5 (#B71691) | 37.5 (#1144E4) | 37.5 (#7822C1) |
| 35 (#D7BC01) | 38.75 (#B51690) | 38.75 (#1142E1) | 38.75 (#751FBC) |
| 36.25 (#FFD701) | 40 (#B3168F) | 40 (#1040DE) | 40 (#711CB8) |
| 37.5 (#FEB805) | 41.25 (#B1168E) | 41.25 (#0F3EDB) | 41.25 (#6E19B4) |
| 38.75 (#FCAB06) | 42.5 (#AF168D) | 42.5 (#0F3CD8) | 42.5 (#6D18B4) |
| 40 (#FA9E07) | 43.75 (#AD168C) | 43.75 (#0E3AD5) | 43.75 (#6D17B4) |
| 41.25 (#F89209) | 45 (#AB168B) | 45 (#0D38D2) | 45 (#6D16B4) |
| 42.5 (#F05514) | 46.25 (#A9168A) | 46.25 (#0C36CF) | 46.25 (#6C15B4) |
| 43.75 (#E74111) | 47.5 (#A81689) | 47.5 (#0C34CC) | 47.5 (#6C14B5) |
| 45 (#DF2D0F) | 48.75 (#A61688) | 48.75 (#0B32C9) | 48.75 (#6C13B5) |
| 45.5 (#DC250E) | 50 (#A41687) | 50 (#0A30C6) | 50 (#6B12B5) |
| 46.75 (#D21C0C) | 51.25 (#A21686) | 51.25 (#0A2EC4) | 51.25 (#6B11B5) |
| 48 (#C9140A) | 52.5 (#A01685) | 52.5 (#092BC1) | 52.5 (#6B10B6) |
| 49.25 (#BF0C09) | 53.75 (#9E1684) | 53.75 (#0929BF) | 53.75 (#6A0FB6) |
| 50 (#BA0808) | 55 (#9C1683) | 55 (#0826BC) | 55 (#6A0EB6) |
| 56.25 (#6f031b) | 56.25 (#9B1682) | 56.25 (#0824BA) | 56.25 (#6A0DB6) |
| 57.5 (#9f0143) | 57.5 (#981580) | 57.5 (#0721B7) | 57.5 (#690CB6) |
| 58.75 (#c10060) | 58.75 (#96157F) | 58.75 (#071FB5) | 58.75 (#690CB7) |
| 60 (#e70086) | 60 (#94157E) | 60 (#071DB3) | 60 (#690BB7) |
| 61.25 (#e205a0) | 61.25 (#92157D) | 61.25 (#061AB0) | 61.25 (#680AB7) |
| 62.5 (#cc09ac) | 62.5 (#90157C) | 62.5 (#0618AE) | 62.5 (#6809B7) |
| 63.75 (#b50eb7) | 63.75 (#8D157A) | 63.75 (#0515AB) | 63.75 (#6808B8) |
| 65 (#9315c8) | 65 (#8B1579) | 65 (#0513A9) | 65 (#6707B8) |
| 66.25 (#8f21cc) | 66.25 (#891578) | 66.25 (#0410A6) | 66.25 (#6706B8) |
| 67.5 (#983acb) | 67.5 (#871577) | 67.5 (#040EA4) | 67.5 (#6705B8) |
| 68.75 (#9d49cb) | 68.75 (#851576) | 68.75 (#040CA2) | 68.75 (#6604B8) |
| 70 (#a661ca) | 70 (#821574) | 70 (#03099F) | 70 (#6603B9) |
| 71.25 (#ad72c9) | 71.25 (#801573) | 71.25 (#03079D) | 71.25 (#6602B9) |
| 72.5 (#b78bc6) | 72.5 (#7E1572) | 72.5 (#02049A) | 72.5 (#6501B9) |
| 73.75 (#bf9bc4) | 73.75 (#7C1571) | 73.75 (#020298) | 73.75 (#6500B9) |
| 75 (#c9b5c2) | 75 (#7A1570) | 75 (#020096) | 75 (#6500BA) |
Satellite Images
The following table provides guidance to interpret the infrared satellite images showing clouds by their temperature and how to create a map legend for these tiles.
| Hex color code | Color sample | Cloud Temperature |
|---|---|---|
| #b5b5b5 |  |
Temperature-Low |
| #d24fa0 | |
|
| #8a32d7 | |
|
| #144bed | |
|
| #479702 |  |
|
| #72b403 |  |
|
| #93c701 | |
|
| #ffd701 | |
|
| #f05514 | |
|
| #dc250e | |
|
| #ba0808 |  |
|
| #1f1f1f |  |
Temperature-High |
Detailed color palette for infrared satellite tiles is shown in the following table.
| Temp (K) | Hex color code |
|---|---|
| 198 | #fe050505 |
| 198.43 | #fe120505 |
| 198.87 | #fc1f0505 |
| 199.3 | #fc2c0606 |
| 199.74 | #fa390606 |
| 200.17 | #fa460606 |
| 200.61 | #f8530606 |
| 201.04 | #f8600707 |
| 201.48 | #f66c0707 |
| 201.91 | #f6790707 |
| 202.35 | #f4860707 |
| 202.78 | #f4930707 |
| 203.22 | #f2a00808 |
| 203.65 | #f2ad0808 |
| 204.09 | #f0ba0808 |
| 204.52 | #f0bd0a09 |
| 204.96 | #eec00d09 |
| 205.39 | #eec30f0a |
| 205.83 | #ecc5120a |
| 206.26 | #ecc8140b |
| 206.7 | #eacb170b |
| 207.13 | #eace190c |
| 207.57 | #e8d11b0c |
| 208 | #e8d41e0d |
| 208.43 | #e6d6200d |
| 208.87 | #e6d9230e |
| 209.3 | #e4dc250e |
| 209.74 | #e4df2c0f |
| 210.17 | #e2e23310 |
| 210.61 | #e2e53a11 |
| 211.04 | #e0e73a11 |
| 211.48 | #e0ea4712 |
| 211.91 | #deed4e13 |
| 212.35 | #def05514 |
| 212.78 | #dcf15e13 |
| 213.22 | #dcf26811 |
| 213.65 | #daf37110 |
| 214.09 | #daf47a0f |
| 214.52 | #d8f5830d |
| 214.96 | #d8f68d0c |
| 215.39 | #d6f8960b |
| 215.83 | #d6f99f09 |
| 216.26 | #d4faa908 |
| 216.7 | #d4fbb206 |
| 217.13 | #d2fcbb05 |
| 217.57 | #d2fdc404 |
| 218 | #d0fece02 |
| 218.43 | #d0ffd701 |
| 218.87 | #cef8d601 |
| 219.3 | #cef2d501 |
| 219.74 | #ccebd401 |
| 220.17 | #cce4d301 |
| 220.61 | #caddd201 |
| 221.04 | #cad7d101 |
| 221.48 | #c8d0d001 |
| 221.91 | #c8c9cf01 |
| 222.35 | #c6c2ce01 |
| 222.78 | #c6bccd01 |
| 223.22 | #c4b5cc01 |
| 223.65 | #c4aecb01 |
| 224.09 | #c2a7ca01 |
| 224.52 | #c2a1c901 |
| 224.96 | #c09ac801 |
| 225.39 | #c093c701 |
| 225.83 | #be90c501 |
| 226.26 | #be8ec401 |
| 226.7 | #bc8bc202 |
| 227.13 | #bc88c102 |
| 227.57 | #ba85bf02 |
| 228 | #ba83be02 |
| 228.43 | #b880bc02 |
| 228.87 | #b87dba02 |
| 229.3 | #b678b703 |
| 229.74 | #b675b603 |
| 230.17 | #b472b403 |
| 230.61 | #b46eb203 |
| 231.04 | #b26bb203 |
| 231.48 | #b267ad03 |
| 231.97 | #b064aa03 |
| 232.35 | #b060a803 |
| 232.78 | #ae5da603 |
| 233.22 | #ae59a302 |
| 233.65 | #ac55a102 |
| 234.09 | #ac529e02 |
| 234.52 | #aa4e9c02 |
| 234.96 | #aa4b9902 |
| 235.39 | #a8479702 |
| 235.83 | #a845940b |
| 236.26 | #a6439115 |
| 236.7 | #a6418e1e |
| 237.13 | #a43f8b28 |
| 237.57 | #a43d8831 |
| 238 | #a23b853a |
| 238.43 | #a2398244 |
| 238.87 | #a0377f4d |
| 239.3 | #a0357c57 |
| 239.74 | #9e337960 |
| 240.17 | #9e317669 |
| 240.61 | #9c2f7373 |
| 241.04 | #9c2c6f7c |
| 241.48 | #9a2a6c86 |
| 241.91 | #9a28698f |
| 242.35 | #98266698 |
| 242.78 | #982463a2 |
| 243.22 | #962260ab |
| 243.65 | #96205db5 |
| 244.09 | #941e5abe |
| 244.52 | #941c57c7 |
| 244.85 | #921a54d1 |
| 245.39 | #921851da |
| 245.83 | #90164ee4 |
| 246.26 | #90144bed |
| 246.7 | #8e2148eb |
| 247.13 | #8e2e45e8 |
| 247.57 | #8c3b43e6 |
| 248 | #8c4840e3 |
| 248.43 | #8a563de1 |
| 248.87 | #8a633ade |
| 249.3 | #887038dc |
| 249.74 | #887d35d9 |
| 250.17 | #868a32d7 |
| 250.61 | #869034d2 |
| 251.04 | #849637ce |
| 251.48 | #849c39c9 |
| 251.91 | #82a23cc5 |
| 252.35 | #82a83ec0 |
| 252.78 | #80ae41bc |
| 253.22 | #80b443b7 |
| 253.65 | #7eba45b2 |
| 253.09 | #7ec048ae |
| 254.52 | #7cc64aa9 |
| 254.96 | #7ccc4da5 |
| 255.39 | #7ad24fa0 |
| 255.83 | #7ad85fac |
| 256.26 | #78dd6eb8 |
| 256.7 | #78e37ec4 |
| 257.13 | #76e98ed0 |
| 257.57 | #76ee9ddb |
| 258 | #74f4ade7 |
| 258.43 | #74f9bcf3 |
| 258.87 | #72ffccff |
| 259.3 | #71ffffff |
| 259.74 | #71fcfcfc |
| 260.17 | #6ff6f6f6 |
| 260.61 | #6ff6f6f6 |
| 261.04 | #6df3f3f3 |
| 261.48 | #6df3f3f3 |
| 261.91 | #6bededed |
| 262.35 | #6bededed |
| 262.78 | #69e7e7e7 |
| 263.22 | #69e7e7e7 |
| 263.65 | #67e1e1e1 |
| 264.09 | #67e1e1e1 |
| 264.52 | #65dedede |
| 264.96 | #65dedede |
| 265.39 | #63d8d8d8 |
| 265.83 | #63d8d8d8 |
| 265.84 | #61d1d1d1 |
| 266.26 | #61d1d1d1 |
| 267.13 | #5fcecece |
| 267.57 | #5fcecece |
| 268 | #5dc8c8c8 |
| 268.43 | #5dc8c8c8 |
| 268.87 | #5bc2c2c2 |
| 269.3 | #5bc2c2c2 |
| 269.74 | #59bcbcbc |
| 270.17 | #59bcbcbc |
| 270.61 | #57b9b9b9 |
| 271.04 | #57b9b9b9 |
| 271.48 | #55b3b3b3 |
| 271.91 | #55b3b3b3 |
| 272.35 | #53adadad |
| 272.78 | #53adadad |
| 273.22 | #51aaaaaa |
| 273.65 | #51aaaaaa |
| 274.09 | #4fa4a4a4 |
| 274.52 | #4fa4a4a4 |
| 274.96 | #4d9e9e9e |
| 275.39 | #4d9e9e9e |
| 275.83 | #4b989898 |
| 276.26 | #4b989898 |
| 276.7 | #49959595 |
| 277.13 | #49959595 |
| 277.57 | #478f8f8f |
| 278 | #478f8f8f |
| 278.43 | #45898989 |
| 278.87 | #45898989 |
| 279.2 | #43868686 |
| 279.74 | #43868686 |
| 280.17 | #417f7f7f |
| 280.61 | #417f7f7f |
| 281.04 | #3f797979 |
| 281.48 | #3f797979 |
| 281.91 | #3d737373 |
| 282.35 | #3d737373 |
| 282.78 | #3b707070 |
| 283.22 | #3b707070 |
| 283.65 | #396a6a6a |
| 284.09 | #396a6a6a |
| 284.52 | #37646464 |
| 284.96 | #37646464 |
| 285.39 | #35616161 |
| 285.83 | #35616161 |
| 286.26 | #335b5b5b |
| 286.7 | #335b5b5b |
| 287.13 | #31555555 |
| 287.57 | #31555555 |
| 288 | #2f4f4f4f |
| 288.43 | #2f4f4f4f |
| 288.87 | #2d4c4c4c |
| 289.3 | #2d4c4c4c |
| 289.74 | #2b464646 |
| 290.17 | #2b464646 |
| 290.61 | #29404040 |
| 291.04 | #29404040 |
| 291.48 | #273d3d3d |
| 291.91 | #273d3d3d |
| 292.35 | #25373737 |
| 292.78 | #25373737 |
| 293.22 | #23313131 |
| 293.65 | #23313131 |
| 294.09 | #212a2a2a |
| 294.52 | #212a2a2a |
| 294.96 | #1f272727 |
| 295.39 | #1f272727 |
| 295.83 | #1d212121 |
| 296.26 | #1d212121 |
| 296.7 | #1b1b1b1b |
| 297.13 | #1b1b1b1b |
| 297.57 | #19181818 |
| 298 | #19181818 |
| 298.43 | #17121212 |
| 298.87 | #17121212 |
| 299.3 | #150c0c0c |
| 299.74 | #150c0c0c |
| 300.17 | #13060606 |
| 300.61 | #13060606 |
| 301.04 | #11000000 |
| 301.48 | #11000000 |
| 301.91 | #0f797979 |
| 302.35 | #0f797979 |
| 302.78 | #0d737373 |
| 303.22 | #0d737373 |
| 303.65 | #0b6d6d6d |
| 304.09 | #0b6d6d6d |
| 304.52 | #09676767 |
| 304.92 | #09676767 |
| 305.39 | #07616161 |
| 305.83 | #07616161 |
| 306.26 | #055b5b5b |
| 306.7 | #055b5b5b |
| 307.13 | #02555555 |
| 307.57 | #02555555 |
| 308 | #00525252 |
| 308 | #00525252 |
Index IDs and Index Groups IDs
Get Daily Indices API allows users to restrict returned results to specific index types or index groups.
The following table lists the available index IDs, their names, and a link to their range sets. Below this table is a table listing the various index groups.
The following table lists the available Index groups (indexGroupId):
| ID | Group Name | Indices in this group |
|---|---|---|
| 1 | All | All |
| 2 | Aches and Pains | Arthritis Pain (21) Migraine Headache (27) Sinus Headache (30) |
| 3 | Respiratory | Asthma (23) Common Cold (25) Flu Forecast (26) |
| 4 | Gardening | Field Readiness (32) Lawn Mowing (28) Soil Moisture (34) |
| 5 | Environmental | Compositing (38) Home Energy Efficiency (36) Fuel Economy (37) |
| 6 | Outdoor Living | Outdoor Barbecue (24) Mosquito Activity (17) |
| 7 | Beach and Marine | Beach & Pool (10) Fishing (13) Sailing (11) |
| 8 | Sportsman | Fishing (13) Hunting (20) Outdoor Activity (29) |
| 9 | Farming | Field Readiness (32) Soil Moisture (34) |
| 10 | Health | Arthritis Pain (21) Asthma (23) Common Cold (25) Dust & Dander (18) Flu (26) Healthy Heart Fitness (16) Migraine Headache (27) |
| 11 | Outdoor | Outdoor Barbecue (24) Beach & Pool (10) Bicycling (4) Outdoor Concert (8) Field Readiness (32) Fishing (13) Golf Weather (5) Hiking (3) Hunting (20) Jogging (2) Kite Flying (9) Mosquito Activity (17) Lawn Mowing (28) Outdoor Activity (29) Running (1) Sailing (11) Skateboarding (7) Ski Weather (15) Soil Moisture (34) Stargazing (12) Tennis (6) |
| 12 | Sporting | Bicycling (4) Golf Weather (5) Hiking (3) Jogging (2) Running (1) Skateboarding (7) Ski Weather (15) Tennis (6) |
| 13 | Home | Home Energy Efficiency (36) Fuel Economy (37) Indoor Activity (-2) |
Daily index range sets
Get Daily Indices API returns the ranged value and its associated category name for each index ID. Range sets aren't the same for all indices. The following tables show the various range sets used by the supported indices listed in Index IDs and index groups IDs. To find out which indices use which range sets, go to the Index IDs and Index Groups IDs section of this document.
Poor-Excellent 1
| Category Name | Begin Range | End Range |
|---|---|---|
| Poor | 0 | 2.99 |
| Fair | 3 | 4.99 |
| Good | 5 | 6.99 |
| Very Good | 7 | 8.99 |
| Excellent | 9 | 10 |
Poor-Excellent 2
| Category Name | Begin Range | End Range |
|---|---|---|
| Poor | 0 | 3 |
| Fair | 3.01 | 6 |
| Good | 6.01 | 7.5 |
| Very Good | 7.51 | 8.99 |
| Excellent | 9 | 10 |
Excellent-Poor
| Category Name | Begin Range | End Range |
|---|---|---|
| Excellent | 0.00 | 1.00 |
| Very Good | 1.01 | 3.00 |
| Good | 3.01 | 5.00 |
| Fair | 5.01 | 7.00 |
| Poor | 7.01 | 10.00 |
Low-Extreme 1
| Category Name | Begin Range | End Range |
|---|---|---|
| Low | 0 | 1.99 |
| Moderate | 2 | 3.99 |
| High | 4 | 5.99 |
| Very High | 6 | 7.99 |
| Extreme | 8 | 10 |
Low-Extreme 2
| Category Name | Begin Range | End Range |
|---|---|---|
| Low | 0 | 2.99 |
| Moderate | 3 | 4.99 |
| High | 5 | 6.99 |
| Very High | 7 | 8.99 |
| Extreme | 9 | 10 |
Very Unlikely-Very Likely
| Category Name | Begin Range | End Range |
|---|---|---|
| Very Unlikely | 0 | 1.99 |
| Unlikely | 2 | 3.99 |
| Possibly | 4 | 5.99 |
| Likely | 6 | 7.99 |
| Very Likely | 8 | 10 |
Very Unlikely-Very Likely 2
| Category Name | Begin Range | End Range |
|---|---|---|
| Very Unlikely | 0.00 | 1.00 |
| Unlikely | 1.01 | 3.00 |
| Possibly | 3.01 | 5.00 |
| Likely | 5.01 | 7.00 |
| Very Likely | 7.01 | 10.00 |
Unlikely-Emergency
| Category Name | Begin Range | End Range |
|---|---|---|
| Unlikely | 0 | 2.99 |
| Watch | 3 | 4.99 |
| Advisory | 5 | 6.99 |
| Warning | 7 | 8.99 |
| Emergency | 9 | 10 |
Beneficial-At Extreme Risk
| Category Name | Begin Range | End Range |
|---|---|---|
| Beneficial | 0 | 1.99 |
| Neutral | 2 | 3.99 |
| At Risk | 4 | 5.99 |
| At High Risk | 6 | 7.99 |
| At Extreme Risk | 8 | 10 |
Next steps
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