Karnataka, India weather forecasts
373 cities and towns of 1,000 people or more, each with its own forecast page.
- Adde Vishwanathapura 1,762
- Addūru 5,426
- Adityapatna 2,623
- Adyār 7,034
- Afzalpur 27,088
- Ajjampur 10,795
- Aland 42,371
- Alevūr 6,302
- Allipura 9,930
- Alnāvar 17,228
- Alūr 6,604
- Amaravati 2,628
- Ambikanagar 3,556
- Amīngarh 15,073
- Anekal 44,260
- Ankola 22,249
- Annigeri 28,267
- Arkalgūd 16,810
- Arkula 5,077
- Arshakunti 10,567
- Arsikere 53,216
- Athani 47,842
- Attibele 20,532
- Aurād 19,849
- Aversa 4,286
- Badagabettu 9,309
- Badagal Ulipādi 7,062
- Badāgrāma 8,117
- Bādāmi 30,943
- Bagalkot 111,933
- Bāgepalli 27,011
- Bail-Hongal 49,182
- Bajpe 9,701
- Ballari 410,445
- Bānāvar 7,827
- Bangarapet 44,849
- Bankāpur 22,529
- Bannūr 25,455
- Bantvāl 40,155
- Basavakalyan 69,717
- Basavana Bāgevādi 33,198
- Bāshettihalli 7,943
- Belagavi 490,045
- Bellūru 7,626
- Belma 6,452
- Beltangadi 7,746
- Beltangadi 7,676
- Belthangady 7,635
- Belūr 22,484
- Belvata 8,605
- Bengaluru 8,495,492
- Benkanhalli 10,999
- Bethamangala 10,413
- Bhadrāvati 163,903
- Bhairāpura 14,276
- Bhālki 40,333
- Bhatkal 32,000
- Bhimarayanagudi 8,029
- Bidadi 9,917
- Bidar 216,020
- Bilgi 17,792
- Birūr 23,493
- Bobruwada 5,409
- Bogādi 9,041
- Bommasandra Industrial Area 15,254
- Bondantila 5,858
- Byādgi 30,014
- Byndoor 20,323
- Canacona 12,434
- Challakere 55,194
- Chamrajnagar 69,875
- Channagiri 21,313
- Channapatna 71,942
- Channarāyapatna 40,417
- Chelūr 5,911
- Chik Ballāpur 63,652
- Chik Bānavar 14,409
- Chikjājūr 6,236
- Chikkabidarakallu 11,554
- Chikmagalūr 121,484
- Chiknāyakanhalli 24,292
- Chikodi 38,307
- Chincholi 20,897
- Chintamani 76,068
- Chitaguppa 25,298
- Chītāpur 31,299
- Chitradurga 145,853
- Closepet 95,167
- Dandeli 52,295
- Dasarahalli 0
- Davangere 435,128
- Devadurga 28,929
- Devanahalli 28,051
- Dobbaspet 4,336
- Doddaballapura 93,105
- Dommasandra 12,610
- Donimalai Township 6,672
- Electronic City Phase I 76,348
- Elivāla 9,826
- French Rocks 20,399
- Gadag 172,612
- Gadag-Betageri 172,813
- Gajendragarh 32,359
- Gangavati 114,642
- Gangolli 15,200
- Gargeswari 5,343
- Gauribidanur 37,947
- Gogipeth 7,544
- Gokak 79,121
- Gokak Falls 8,080
- Gokarna 25,851
- Gonikoppal 8,306
- Gorūr 6,192
- Gubbi 18,446
- Gudibanda 9,441
- Gūdūr 11,969
- Guledagudda 33,851
- Gundlupēt 28,105
- Gurmatkāl 20,614
- Hadagalli 27,967
- Haliyal 24,238
- Hampi 10,000
- Hāngal 28,159
- Hanūr 11,066
- Haralahalli 4,476
- Haralāpura 4,655
- Harēkala 6,814
- Harihar 83,219
- Harpanahalli 47,039
- Hassan 155,006
- Hatti 16,278
- Hāveri 67,102
- Hebbagodi 34,827
- Heggadadevankote 14,313
- Hērūr 4,778
- Hinakallu 23,162
- Hindalgi 13,741
- Hirekerūr 19,191
- Hiriyūr 56,416
- Holalkere 15,783
- Holenarasipura 29,974
- Homnābād 44,483
- Honnāli 17,928
- Honnavar 19,109
- Hosadurga 28,370
- Hosakote 11,692
- Hosanagara 5,839
- Hosangadi 2,609
- Hosapete 206,167
- Hoskote 56,980
- Hubballi 943,788
- Hukeri 22,988
- Huliyār 14,304
- Hunasamaranahalli 13,389
- Hungund 20,877
- Hunsūr 50,865
- Hutagalli 18,308
- Ilkal 60,242
- Indi 38,217
- Jagalūr 17,257
- Jāli 10,802
- Jamkhandi 68,938
- Jevargi 25,686
- Jigani 17,036
- Kadakola 6,436
- Kādiganahalli 6,587
- Kadūr 34,151
- Kadvād 4,403
- Kairangala 5,788
- Kākti 13,946
- Kalaburagi 543,147
- Kalghatgi 16,917
- Kamalāpuram 25,552
- Kamalnagar 10,252
- Kampli 39,307
- Kanakapura 54,014
- Kangarāli-budrukh 10,496
- Kangarāli-khurd 8,204
- Kargal 10,847
- Kariyangala 4,698
- Kārkala 25,800
- Karwar 77,139
- Kavalūr 1,010
- Kawlet 6,265
- Kenjāru 5,338
- Kerūr 19,731
- Khānāpur 19,309
- Kodigenahalli 5,727
- Kodiyal 7,061
- Kodlipet 2,686
- Kolambe 5,592
- Kolār 138,462
- Kollegāl 57,149
- Konaje 11,368
- Konanūr 9,555
- Konnūr 19,386
- Koppa 5,124
- Koppal 70,698
- koppana Agrahara 20,622
- Korangarapādi 4,944
- Koratagere 15,265
- Kōtekāra 16,505
- Kōteshwar 10,229
- Kottūru 26,289
- Krishnarājāsāgara 35,805
- Krishnarājpet 25,946
- Kudachi 23,154
- Kūdligi 26,680
- Kudremukh 2,241
- Kumbalgod 10,178
- Kumsi 6,468
- Kumta 36,719
- Kundapura 30,444
- Kundgol 18,726
- Kunigal 34,155
- Kurgahalli 7,065
- Kurgunta 8,682
- Kurikuppi 22,560
- Kushālnagar 15,326
- Kushtagi 24,878
- Kuvettu 7,041
- Lakshmeshwar 36,754
- Lingsugūr 35,411
- Londa 6,131
- Māchai 18,073
- Madanayakahalli 12,563
- Maddūr 28,754
- Madhugiri 29,159
- Madikeri 33,540
- Māgadi 27,605
- Mahālingpur 36,055
- Malavalli 38,129
- Mallār 7,765
- Malpe 23,496
- Mālūr 40,050
- Mandya 137,358
- Mangaluru 499,487
- Manipura 5,001
- Manjanādi 10,401
- Mānvi 46,465
- Maragondahalli 8,824
- Mathadahatti 5,884
- Māyakonda 6,445
- Melukote 4,011
- Molakālumuru 15,797
- Mūdabettu 5,018
- Mudalgi 29,128
- Mūdashedde 8,155
- Mūdbidri 30,632
- Muddebihāl 34,217
- Mudgal 22,731
- Mudgere 9,677
- Mudhol 52,199
- Muduperar 5,686
- Mulbāgal 57,276
- Mulgund 18,928
- Mūlki 17,274
- Mulur 5,445
- Mundargi 24,919
- Mundgod 18,866
- Munirābād 8,672
- Munnūru 8,864
- Murudeshwara 17,938
- Mutge 7,561
- Mysuru 920,550
- Nadisāl 11,611
- Nāgamangala 17,776
- Nandgad 8,837
- Nanjangūd 50,598
- Narasimharājapura 7,775
- Naregal 17,403
- Nargund 36,291
- Narikombu 7,800
- Navalgund 24,613
- Navoor 5,365
- Nelamangala 37,232
- Nīramārgar 5,503
- Nyāmti 10,338
- Pāngāla 1,948
- Pāvugada 32,063
- Piranvādi 17,874
- Piriyāpatna 16,685
- Ponnampet 6,117
- Pudu 13,533
- Puttūr 53,331
- Rabkavi 73,835
- Rabkavi-Banhatti 77,004
- Rāichūr 234,073
- Rāmdurg 34,800
- Ranebennur 106,406
- Raybag 18,736
- Robertsonpet 162,230
- Ron 23,311
- Sadalgi 23,790
- Sāgar 54,550
- Saidāpur 5,432
- Sajipanadu 5,847
- Sakleshpur 24,931
- Saligram 15,123
- Sāmbre 13,159
- Sandūr 37,431
- Sanivārsante 4,432
- Sankeshwar 34,637
- Sānūru 6,881
- Sargūr 11,425
- Sarjāpur 11,807
- Satyāmangala 18,002
- Saundatti 41,215
- Savanūr 40,567
- Sedam 39,341
- Shāhābād 52,952
- Shāhpur 53,366
- Shaktinagar 17,088
- Shiggaon 28,207
- Shikaripura 36,015
- Shirhatti 17,610
- Shivamogga 322,650
- Shorāpur 51,398
- Shrīrangapattana 25,061
- Siddāpur 14,769
- Sidlaghatta 51,159
- Sindgi 37,226
- Sindhnūr 75,837
- Sīra 57,928
- Sirālkoppa 16,864
- Sirsi 62,882
- Siruguppa 52,492
- Sōmēshvara 24,066
- Someshwar 22,137
- Somvārpet 7,227
- Sorab 11,332
- Srāvana Belgola 6,485
- Sringeri 4,271
- Srīnivāspur 26,793
- Srirampura 11,234
- Sulebhāvi 8,503
- Sūlibele 9,587
- Sullya 19,958
- Suntikoppa 3,500
- Tālīkota 31,693
- Tālipādi 7,237
- Talpādi 9,532
- Tarikere 37,848
- Tekkalakote 26,224
- Tenkanidiyūr 6,188
- Terdāl 26,411
- Thegur 2,024
- Tiptūr 60,957
- Tīrthahalli 15,422
- Tirumakūdal Narsipur 9,980
- Tokūru 7,433
- Tonse East 7,911
- Tumbe 6,230
- Tumkūr 307,359
- Turuvekere 14,194
- Udiyāvara 11,854
- Udupi 165,000
- Ullal 59,116
- Uppinangadi 7,813
- Vaddu 12,453
- Varamballi 6,809
- Venkatapura 6,928
- Vijayapura 327,427
- Vijayapura 34,866
- Virajpet 17,246
- Vittal 17,618
- Wādi 37,988
- Yadgir 74,294
- Yelahanka 116,447
- Yelandūr 8,901
- Yelbarga 14,814
- Yellāpur 20,452
- Yelur 11,850
What is here
- Seven days
- The high, the low, the chance and amount of rain and snow, the wind and the forecaster’s words for each day and night, from the National Weather Service grid for the exact cell your town sits in.
- Hour by hour
- Temperature, what it feels like, dew point, humidity, chance and amount of precipitation, wind and gusts, sky cover, the chance of thunder, pressure, visibility and ceiling, as a chart and as a table, with nights shaded.
- Everything else on the grid
- The office edits about sixty fields for every cell. The ones the mainstream forecast pages leave out are here as a daily table: HeatRisk, wet bulb globe temperature, lightning activity, mixing height, transport wind, the fire weather indices, and at the coast the waves and swell.
- The discussion
- The Area Forecast Discussion the forecaster wrote to explain the forecast, in their own words, with the specialist annexes folded away. Also the office’s hazardous weather outlook.
- Beyond the week
- The Storm Prediction Center’s severe weather category for each of the next eight days, the Weather Prediction Center’s rainfall forecast to day seven and its winter storm severity, and the Climate Prediction Center’s odds for days six to fourteen, all read at your coordinate.
- Against the record
- Each forecast day beside the same date at the nearest long-record station: the thirty-year normal and the record high and low with their years, so a forecast high that would break a record says so.
- The next 90 days
- The forecast as far as the grid, the National Blend and the global models reach, and the calendar after that: the normal and the record for every date, with the Climate Prediction Center’s lean for the weeks, the month and the season drawn over them. No made-up highs for a date three months out.
Common questions
Where does this forecast come from?
From the National Weather Service forecast grid published at api.weather.gov, the same grid the local forecast office edits through the day and the source of every forecast on weather.gov. The written periods, the hourly digest and the forecaster’s discussion are the NWS’s own products, shown as issued. Nothing here is a blend a website made.
How far ahead does it go?
The grid runs seven days ahead, hour by hour for the first days and in three to six hour steps after that. The National Blend of Models carries the days to eleven and the global models to sixteen. Beyond that the page carries the national centers’ outlooks, severe weather to day eight, rainfall to day seven, and the Climate Prediction Center’s odds for the coming weeks, month and season, over a ninety-day calendar of the normal and the record for each date. No forecast has skill day by day past about two weeks, and this page does not print one.
Why is this different from the app on my phone?
Most forecast apps show a blend of models chosen by the company that makes the app. This page shows the forecast the local National Weather Service office issues, edited by the forecasters who will also issue the warnings, and it shows all of it rather than the six numbers that fit on a phone. The discussion explains the reasoning, which no app carries.
What is a place’s address here?
Every town has its own page, such as /forecast/us/oklahoma/oklahoma-city/, and every day at a town has one too. A ZIP code typed into the search goes to the town it belongs to. Any coordinate at all can be looked up, and the page names the nearest town.
What the weather actually was · Open the live radar · Where the data comes from