Uttar Pradesh, India weather forecasts
517 cities and towns of 1,000 people or more, each with its own forecast page.
- Achhnera 20,532
- Ādh 3,215
- Adha Chat 1,480
- Afzalgarh 27,753
- Agra 1,430,055
- Ahraura 25,075
- Air Khās 3,798
- Akbarpur 36,865
- Akbarpur 18,835
- Alīganj 26,652
- Alīgarh 753,207
- Allāhganj 13,824
- Amānpur 10,362
- Ambahta 14,303
- Amethi 12,206
- Amethī 13,684
- Amrāla 3,263
- Amroha 176,253
- Anandnagar 11,220
- Ant 7,385
- Ant 2,326
- Antu 8,316
- Anūpshahr 25,306
- Aonla 50,011
- Asāra 15,959
- Atarra 46,168
- Atraulī 47,512
- Atraulia 11,847
- Auraiya 70,508
- Aurās 6,591
- Ayodhya 53,293
- Azamgarh 116,644
- Baberu 15,607
- Babīna 35,538
- Babrāla 16,670
- Babugarh 7,156
- Bachhraon 29,232
- Bachhrāwān 12,809
- Bād 14,559
- Bāghpat 41,766
- Bāh 15,359
- Baheri 63,953
- Bahjoi 33,752
- Bahraigh 182,218
- Bahsūma 11,157
- Bahua 10,243
- Bājna 7,673
- Bakewar 14,217
- Baldeopur 1,437
- Baldev 10,536
- Balrāmpur 77,396
- Banat 21,580
- Banbasa 7,138
- Bānda 152,218
- Bāngarmau 37,425
- Bānsdīh 21,457
- Bānsgāon 14,282
- Bānsi 39,926
- Barāgaon 11,362
- Barāgaon 8,655
- Baraut 93,544
- Bareilly 745,435
- Barkhera Kalān 11,209
- Barsāna 9,815
- Bastī 115,115
- Bat 3,621
- Beg 1,237
- Behat 18,223
- Bela 73,992
- Benīganj 10,418
- Beswān 5,897
- Bewar 23,280
- Bhadohi 78,568
- Bhagwantnagar 6,596
- Bharthana 41,055
- Bharwāri 16,411
- Bhinga 22,016
- Bhongaon 29,911
- Bidhūna 27,158
- Bīghāpur Khurd 6,409
- Bijnor 84,593
- Bīkāpur 13,177
- Bilāri 29,666
- Bilariāganj 13,244
- Bīlāspur 39,873
- Bīlāspur 8,036
- Bilgrām 27,173
- Bilhaur 19,333
- Bilsanda 15,538
- Bilsi 26,320
- Bilthra 17,228
- Bindki 36,058
- Bīsalpur 68,355
- Bisauli 32,154
- Bisenda Buzurg 11,100
- Bishunpur Urf Mahārājganj 7,499
- Bisokhar 14,332
- Biswān 52,516
- Bithūr 10,602
- Budaun 161,555
- Budhāna 35,442
- Bulandshahr 198,612
- Captainganj 12,299
- Chail 8,407
- Chakia 14,999
- Chandauli 25,035
- Chāndpur 73,555
- Chanduasi 112,635
- Charkhāri 24,881
- Charthāwal 19,942
- Chhaprauli 19,224
- Chharra 24,535
- Chhāta 21,260
- Chhibrāmau 57,071
- Chhutmalpur 11,127
- Chillupār 20,518
- Chirgaon 14,147
- Chitrakoot Dham 23,316
- Chopan 13,585
- Chunār 36,459
- Colonelganj 25,503
- Dādri 70,609
- Dalmau 11,432
- Dankaur 13,020
- Dāsna 27,926
- Dātāganj 24,562
- Daurāla 10,915
- Dayāl Bāgh 3,367
- Deoband 88,171
- Deoraniān 19,788
- Deoria 129,570
- Dewā 14,375
- Dhāmpur 49,973
- Dhanaura 28,285
- Dhaurahra 20,098
- Dibai 37,873
- Dih 7,267
- Dīkshitpur 2,338
- Doha 1,033
- Dohrighāt 11,180
- Dostpur 12,688
- Dubai 2,139
- Dubai 1,969
- Dubai 1,081
- Dūdhi 12,742
- Dunāi 2,021
- Etah 131,023
- Etāwah 257,448
- Etmadpur 22,697
- Farah 9,236
- Farīdnagar 11,371
- Farīdpur 71,783
- Farrukhābād 241,152
- Fatehābād 21,957
- Fatehganj West 23,810
- Fatehgarh 14,847
- Fatehpur 166,480
- Fatehpur 34,010
- Fatehpur Chaurāsi 5,931
- Fatehpur Sīkri 30,026
- Fīrozābād 306,409
- Fyzābād 153,047
- Gajraula 50,380
- Gangoh 59,519
- Ganj Dundwāra 46,314
- Ganj Murādābād 9,970
- Garautha 9,489
- Garhi Pūkhta 13,381
- Garhmuktesar 37,043
- Gawān 8,744
- Ghātampur 40,435
- Ghāziābād 1,199,191
- Ghazīpur 103,095
- Ghiror 14,011
- Ghorāwal 7,492
- Ghosī 39,138
- Gobindpur 2,556
- Gohānd 7,286
- Gokul 4,351
- Gola Bāzār 10,936
- Gola Gokarannāth 58,986
- Gondā City 133,583
- Gopāmau 13,581
- Gorakhpur 674,246
- Goshāinganj 13,176
- Goshāīnganj 9,537
- Got 6,599
- Govardhan 20,044
- Greater Noida 293,908
- Gulāothi 46,647
- Gunnaur 20,980
- Gursahāiganj 40,214
- Gursarāi 25,191
- Gyānpur 200,000
- Haldaur 18,686
- Hamīrpur 34,144
- Handiā 17,861
- Hāpur 242,920
- Haraiya 9,000
- Hardoī 122,635
- Harduāganj 12,328
- Hasanpur 57,481
- Hastināpur 24,093
- Hātā 12,050
- Hāthras 126,882
- Iglās 13,746
- Ikauna 14,217
- Indergarh 17,366
- Islāmnagar 29,144
- Itaunja 6,726
- Jagdīshpur 31,029
- Jagnair 10,023
- Jahānābād 13,617
- Jahāngīrābād 57,363
- Jahāngīrpur 10,042
- Jainpur 11,674
- Jais 25,726
- Jalālābad 25,302
- Jalālābād 35,051
- Jalālī 18,177
- Jalālpur 31,388
- Jālaun 55,299
- Jalesar 38,614
- Jānsath 19,467
- Jar 3,088
- Jarwal 17,576
- Jasrāna 9,883
- Jaswantnagar 27,777
- Jaunpur 169,572
- Jeti 2,108
- Jewar 29,316
- Jhālu 20,356
- Jhānsi 412,927
- Jhīnjhak 23,499
- Jhinjhāna 19,711
- Jhūsi 16,642
- Kabrāi 24,771
- Kachhwa 15,381
- Kadaura 13,784
- Kādīpur 7,472
- Kahol 2,937
- Kaimganj 32,858
- Kairāna 80,432
- Kākori 18,332
- Kakrāla 35,690
- Kālīnagar 10,728
- Kālpi 44,339
- Kamalganj 16,222
- Kampil 9,200
- Kāndhla 43,387
- Kannauj 76,714
- Kanpur 2,823,249
- Kanpur Cantonment 108,534
- Kānt 24,430
- Kānth 24,883
- Karārī 14,403
- Karhal 26,693
- Kāsganj 99,462
- Katra 6,853
- Kemrī 26,726
- Khada 16,350
- Khāga 13,338
- Khailār 13,334
- Khair 30,173
- Khairābād 42,125
- Khairāgarh 20,095
- Khalīlābād 45,321
- Khānpur 14,688
- Kharela 13,798
- Khargupur 9,576
- Kharkhauda 13,189
- Khatauli 64,731
- Khekra 42,408
- Kheri 26,327
- Khorājpur 1,240
- Khudāganj 12,636
- Khurja 105,909
- Khūtār 15,618
- Kirākat 14,034
- Kiraoli 21,024
- Kīratpur 60,223
- Kishanpur 6,104
- Kishni 9,852
- Kithor 25,262
- Konch 52,773
- Kopāganj 33,539
- Kosi 52,492
- Kota 14,632
- Kotra 8,534
- Kulpahār 18,976
- Kunda 24,948
- Kundarkhi 27,197
- Kurāra 12,730
- Kurhātitra 1,679
- Kushinagar 274,403
- Lāharpur 55,911
- Lakhīmpur 140,223
- Lakhnā 11,389
- Lalganj 23,124
- Lālganj 23,728
- Lalitpur 126,475
- Lar 26,688
- Lāwar Khās 19,556
- Loni 516,082
- Lucknow 2,472,011
- Machhlīshahr 25,247
- Mādhoganj 10,299
- Mādhogarh 10,530
- Maghar 17,011
- Mahāban 9,514
- Mahārāganj 30,548
- Mahārājganj 6,442
- Mahmudābād 45,921
- Mahobā 89,170
- Maholi 19,343
- Mahroni 8,898
- Mailāni 14,212
- Mainpuri 94,619
- Malīhābād 16,649
- Mandāwar 21,339
- Maniar 20,462
- Mānikpur 14,415
- Manjhanpur 16,939
- Mankāpur 9,746
- Mārahra 18,873
- Mariāhu 22,248
- Mataundh 8,591
- Mathura 330,511
- Mau 246,050
- Mau Aimma 20,123
- Maudaha 37,844
- Maurānwān 14,916
- Mawāna 76,973
- Meerut 1,223,184
- Mehnagar 14,897
- Mehndāwal 25,495
- Milak 28,505
- Mīrānpur 27,390
- Mīrānpur Katra 29,626
- Mīrganj 15,335
- Mirzāpur 220,029
- Misrikh 15,007
- Modīnagar 475,843
- Mohān 14,709
- Mohanpur 5,596
- Morādābād 721,139
- Moth 14,077
- Mubarakpur 53,263
- Mubārakpur Net 1,140
- Muhammadābād 33,186
- Muhammadābād 24,146
- Muhammadābād 22,151
- Mundāli 12,287
- Murādnagar 89,482
- Mursān 12,310
- Musāfir-Khāna 8,081
- Muzaffarnagar 349,706
- Nadīgaon 7,597
- Nadrālā 2,101
- Nagīna 76,593
- Nagrām 9,858
- Najībābād 84,006
- Nakūr 23,084
- Nanauta 18,738
- Nandgaon 10,449
- Nānpāra 46,280
- Narauli 17,945
- Naraura 22,432
- Nautanwa 32,587
- Nawābganj 79,246
- Nawābganj 34,134
- Nawābganj 17,015
- Nichlaul 17,567
- Nihtaur 48,389
- Niwāri 10,330
- Nizāmābād 13,895
- Noida 293,908
- Nūrpur 39,077
- Obra 56,110
- Orai 158,265
- Oran 6,495
- Pachperwa 15,056
- Padrauna 47,181
- Pahāsu 18,854
- Pāli 9,098
- Paliā Kalān 38,547
- Pandit Deen Dayal Upadhyaya Nagar 109,650
- Pārīchha 7,399
- Parīchhatgarh 18,990
- Parshādepur 10,690
- Patiāli 13,515
- Patti 9,685
- Pawāyan 25,708
- Phalauda 18,545
- Phaphūnd 16,675
- Pharihā 6,380
- Phulpur 22,886
- Phūlpur 8,893
- Pihānī 30,369
- Pīlibhīt 131,008
- Pilkhua 74,212
- Pināhat 19,511
- Pipraich 15,856
- Pratāpgarh 13,672
- Prayagraj 1,073,438
- Pukhrāyān 22,555
- Pūranpur 39,988
- Purwā 22,220
- Rabūpura 13,949
- Rādhākund 6,420
- Raebareli 186,433
- Rājāpur 13,962
- Rāmkola 13,949
- Rāmnagar 44,277
- Rāmnagar 13,490
- Rāmpur 296,418
- Rāmpur 26,257
- Rāmpura 11,347
- Rānīpur 18,820
- Rasrā 31,876
- Rasūlābād 7,800
- Rāth 61,728
- Rāya 20,008
- Renukūt 62,413
- Reoti 23,819
- Richha 19,459
- Robertsganj 37,855
- Rūdarpur 30,873
- Rura 15,908
- Sadābād 36,093
- Sādāt 11,211
- Safīpur 24,801
- Sahāranpur 484,873
- Sahaspur 24,452
- Sahaswān 60,953
- Sahāwar 22,201
- Saidpur 22,904
- Saidpur 14,496
- Sakīt 7,811
- Salon 14,312
- Sambhal 196,109
- Samthar 21,582
- Sāndi 25,008
- Sandīla 53,182
- Santokhpur Unwan 3,900
- Sarāi Ākil 17,443
- Sarai Ekdil 10,594
- Sarāi Mīr 17,849
- Sarauli 20,923
- Sardhana 49,857
- Sarīla 8,012
- Sāsni 13,498
- Satrikh 11,023
- Saurikh 12,055
- Sector 2,000
- Seohāra 46,546
- Shāhābād 73,606
- Shāhābād 34,962
- Shāhganj 26,510
- Shāhi 16,064
- Shāhjānpur 320,434
- Shāhpur 18,874
- Shāmli 97,966
- Shamsābād 31,009
- Shamsābād 25,266
- Shankargarh 14,137
- Shergarh 14,076
- Sherkot 57,361
- Shikārpūr 34,649
- Shikohābād 99,678
- Shīshgarh 23,471
- Sidhaulī 22,193
- Sidhpura 14,815
- Sikandarābād 73,379
- Sikandarpur 24,177
- Sikandra 12,289
- Sikandra Rao 42,229
- Sikhera 5,024
- Sirāthu 13,598
- Sirsā 12,608
- Sirsāganj 29,034
- Sirsi 22,549
- Sisauli 15,837
- Siswā Bāzār 19,939
- Sītāpur 164,435
- Soron 28,683
- Suār 28,941
- Sultānpur 110,368
- Suriānwān 19,157
- Tājpur 17,529
- Tālbahat 13,789
- Tālgrām 10,629
- Tānda 44,822
- Tāndā 88,073
- Thakurdwara 39,860
- Thāna Bhawan 33,498
- Tikaitnagar 8,806
- Tīkri 13,646
- Tilhar 57,043
- Tindwāri 10,406
- Tisaulī 4,230
- Titron 11,569
- Tori-Fatehpur 10,210
- Tulsīpur 22,486
- Tūndla 50,939
- Ugu 6,518
- Ujhāni 56,309
- Ūn 15,007
- Unnāo 161,671
- Usehat 15,068
- Utraula 28,437
- Varanasi 1,164,404
- Vrindāvan 60,195
- Wazīrganj 19,372
- Zafarābād 9,106
- Zaidpur 33,397
- Zamānia 32,008
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