Punjab, India weather forecasts
230 cities and towns of 1,000 people or more, each with its own forecast page.
- Abohar 145,302
- Adampur 20,922
- Ahmedgarh 31,302
- Ajnāla 21,107
- Akālgarh 7,678
- Akālgarh 6,993
- Alāwalpur 7,815
- Amargarh 7,339
- Amloh 14,696
- Amritsar 1,159,227
- Anandpur 16,282
- Apra 6,258
- Aur 4,063
- Bāba Bakāla 8,946
- Baddowāl 6,825
- Badhni Kalān 6,786
- Bagha Purana 25,206
- Bahrāmpur 5,432
- Bakloh 1,805
- Bālāchor 21,631
- Balaungi 15,982
- Banga 20,906
- Banūr 18,775
- Bareta 17,432
- Bariyār 3,520
- Barnāla 116,449
- Baruwāli 8,668
- Basi 26,295
- Basi 20,288
- Batāla 158,621
- Bathinda 285,788
- Begowāl 10,175
- Behjoga 5,722
- Bhadaur 18,561
- Bhādson 7,260
- Bhagta 14,467
- Bhamiān Kalān 13,174
- Bhankarpur 10,768
- Bhattiān 11,066
- Bhawānīgarh 22,320
- Bhīkhi 17,825
- Bhikkiwind Uttār 20,526
- Bhisiyāna 4,890
- Bhogpur 18,008
- Bhucho Mandi 14,961
- Bhulath Gharbi 10,669
- Boh 8,482
- Budha Thēh 10,979
- Budhlāda 26,172
- Bungal 5,257
- Chachoke 4,307
- Chāmkor 13,920
- Chīma 9,894
- Chiman 11,615
- Chomon 3,704
- Chugānwān 5,416
- Chuhal 7,304
- Dappar 5,936
- Dasūya 25,192
- Daulatpur 12,988
- Derā Nānak 7,491
- Dhāki 4,203
- Dhanaula 19,920
- Dhāriwāl 20,604
- Dharmkot 19,057
- Dhilwan 8,447
- Dhin 5,961
- Dhūri 55,225
- Dīnānagar 23,976
- Dirba 16,952
- Dorāha 25,424
- Dug 1,345
- Farīdkot 87,695
- Fateh Nangal 7,721
- Fatehgarh Chūriān 18,051
- Fazilka 76,492
- Firozpur 110,313
- Garhdiwāla 7,593
- Garhshankar 16,955
- Ghagga 10,162
- Ghanaula 4,894
- Ghanaur 6,985
- Ghoh 6,883
- Giddarbāha 45,370
- Gil 28,884
- Gobindgarh 82,266
- Goniāna Mandi 15,208
- Gorāya 16,462
- Gurdaspur 77,928
- Guru Har Sahāi 17,192
- Hadiāya 12,507
- Hājipur 6,091
- Halwāra 9,761
- Hariāna 8,928
- Hoshiārpur 168,653
- Husainpur 15,575
- Jagraon 65,305
- Jaito 37,377
- Jalālābād 39,525
- Jalandhar 868,929
- Jalandhar Cantonment 47,845
- Jandiāla 25,631
- Jandiāla Gurū 29,232
- Jodhan 3,845
- Jugiāl 15,210
- Kalanaur 13,671
- Kapurthala Town 98,916
- Kartārpur 26,701
- Kathāniān 10,679
- Kaurānwāli 5,770
- Khamānon Kalān 10,135
- Khambra on Nakodar Road 5,483
- Khanna 128,137
- Kharar 74,460
- Khem Karan 13,446
- Khilchiān 4,588
- Khotran 5,046
- Kot 5,406
- Kot Fatah 7,412
- Kot Īsa Khān 12,800
- Kot Kapūra 91,979
- Kotkapura 80,741
- Kotla Nihang 4,715
- Kūrāli 31,060
- Lāhauran Bara 10,218
- Lālru 21,394
- Laungowāl 21,880
- Lehragaga 22,588
- Lit 1,151
- Lohiān 10,362
- Longowal 23,851
- Ludhiana 1,618,879
- Māchhīwāra 24,916
- Mahalpur 11,360
- Mahna 27,733
- Majītha 14,503
- Makhu 14,658
- Malakpur 4,645
- Malaudh 7,567
- Māler Kotla 135,424
- Malout 81,406
- Malsiān 12,780
- Mamun 32,689
- Mānsa 82,956
- Manwāl 6,496
- Maur 31,849
- Mīrpur 5,967
- Moga 163,397
- Mohali 166,864
- Moonak 18,141
- Morinda 24,022
- Mubārikpur 5,217
- Mudki 10,415
- Muhdal 3,882
- Mukeriān 29,841
- Muktsar 116,747
- Mulānpur 6,165
- Mūllānpur 16,356
- Mullānwāla 16,183
- Nābha 67,972
- Nāg 9,352
- Nakodar 36,973
- Nangal 48,497
- Nangli 20,440
- Narot Mehra 8,885
- Nawanshahr 46,024
- Naya Gaon 50,869
- Nīlpur 8,391
- Nohan 9,439
- Nūrmahal 14,560
- Nūrpur Kalān 9,437
- Pail 7,923
- Pakhi Khanauri 14,096
- Pathānkot 174,306
- Patiāla 446,246
- Patran 27,963
- Patti 40,976
- Phagwāra 100,146
- Phillaur 24,688
- Pratāp Singhwāla 10,843
- Qadian 23,632
- Rāhon 15,676
- Rāikot 28,734
- Rail 7,589
- Raipur Rasulpur 3,916
- Rāja Sānsi 14,298
- Rajpura 92,301
- Rām Dās 6,398
- Rāman 22,553
- Rāmpura 45,639
- Rampura Phul 51,023
- Rāya 14,506
- Ropar 56,038
- Rurki 10,509
- Saloh 4,481
- Samāna 54,072
- Samrāla 19,678
- Sanaur 21,201
- Sānehwāl 22,484
- Sangat Kalān 2,744
- Sangrūr 88,615
- Sansarpur 4,657
- Sarai Khas 7,044
- Sardulgarh 19,219
- Sarna 5,847
- Satiāwāla 8,724
- Shāhkot 14,488
- Shakar 4,001
- Shām Churāsi 4,426
- Shankar 5,639
- Sharakpur 1,587
- Sirhind 60,847
- Sohāna 9,306
- Srīgobindpur 8,241
- Sufipind 9,406
- Sujānpur 28,270
- Sultanpur 16,877
- Sunām 69,069
- Talwandi Bhai 17,285
- Talwandi Sābo 20,589
- Talwāra 24,752
- Tapa 23,248
- Tarn Taran 66,847
- Thariāl 5,081
- Tharīke 12,294
- Tibri 11,845
- Tut 1,549
- Urmar 23,419
- Zerakpur 95,553
- Zira 37,498
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