Gujarat, India weather forecasts
385 cities and towns of 1,000 people or more, each with its own forecast page.
- Abrama 21,000
- Adalaj 11,957
- Ādri 6,952
- Ahmadabad Cantonment 7,588
- Ahmedabad 6,357,693
- Ahwa 15,004
- Alang 18,480
- Alikherva 8,951
- Amardad 5,872
- Ambaji 17,753
- Ambaliyasan 7,072
- Amboli 6,137
- Amod 18,742
- Amreli 117,967
- Amroli 17,082
- Anand 209,410
- Anandpar 13,483
- Andada 16,730
- Anjār 87,183
- Anklav 21,003
- Ankleshwar 89,457
- Anklesvar INA 24,789
- Antaliya 6,936
- Antarjal 11,256
- Arsodiya 5,859
- Atul 3,486
- Baben 15,610
- Bābra 25,270
- Bagasra 34,521
- Bajwa 9,611
- Balitha 12,380
- Baliyasan 3,915
- Bāntva 15,291
- Bāola 42,458
- Bār 6,000
- Bārdoli 60,821
- Bareja 19,690
- Barwala 17,951
- Bayad 17,886
- Becharaji 12,574
- Bed 8,229
- Bedi 21,327
- Bhābhar 21,894
- Bhachāu 39,532
- Bhadkodara 13,233
- Bhāgal Jagāna 6,250
- Bhagdawada 12,291
- Bhalpara 14,676
- Bhānvad 22,142
- Bharthana Kosad 5,679
- Bharūch 169,007
- Bharuch INA 3,332
- Bhat 6,823
- Bhavnagar 605,882
- Bhāyāvadar 19,458
- Bhilad 9,022
- Bhiloda 16,074
- Bholav 24,605
- Bhuj 148,834
- Bhurivel 5,730
- Bilimora 510,879
- Bilkha 14,421
- Bodeli 12,184
- Bopal 37,635
- Boriavi 19,865
- Borsad 63,377
- Botad 130,327
- Chaklāsi 39,581
- Chalāla 17,081
- Chalthan 21,795
- Chānasma 15,932
- Chandrapur 8,906
- Chanod 18,776
- Chhala 17,323
- Chhāpi 8,379
- Chhapra 10,147
- Chhatral INA 10,215
- Chhaya 47,699
- Chhiri 18,829
- Chhota Udepur 25,787
- Chikhli 7,480
- Chiloda 9,735
- Chorwād 22,720
- Chotila 21,364
- Dabhoi 56,253
- Dahegām 42,632
- Daheli 10,475
- Dākor 25,658
- Dāmnagar 17,766
- Dayapar 12,000
- Dediāpāda 9,026
- Deesa 111,160
- Dehari 7,892
- Delvāda 11,912
- Devgadh Bāriya 21,030
- Devsar 10,346
- Dhandhuka 32,475
- Dhanera 29,578
- Dharampur 24,178
- Dhāri 29,346
- Dhasa 14,448
- Dhola 8,206
- Dholka 80,945
- Dhoraji 84,545
- Dhrāngadhra 75,578
- Dhrol 26,496
- Dhuwaran 11,473
- Digvijaygram 6,161
- Diyodar 14,912
- Dohad 118,846
- Dungarpur 6,105
- Dungarpur 5,039
- Dwārka 38,873
- Freelandgunj 11,657
- Gadhada 29,872
- Gadkhol 25,332
- Galpadar 13,155
- Gamdi 14,582
- Gandevi 16,827
- Gāndhīdhām 247,992
- Gandhinagar 292,797
- Gariadhar 35,692
- Ghanteshvar 5,874
- Ghogha 12,208
- Godhra 143,644
- Gondal 112,197
- GSFC Complex INA 2,242
- Hadgood 14,262
- Hajira INA 5,562
- Hālol 64,265
- Halvad 32,024
- Hansot 12,525
- Hārij 20,253
- Harsiddhi Society, Ram Talavadi, Mission Road, Nadiad 0
- Himatnagar 81,137
- Hoda 2,098
- Ichchhapor 12,097
- Idar 42,306
- Jāfarābād 27,167
- Jalalpore 17,325
- Jambusar 43,344
- Jamjodhpur 25,892
- Jamnagar 600,943
- Jarod 7,200
- Jasdan 48,483
- Jawaharnagar 3,417
- Jetalsar 14,771
- Jetpur 118,302
- Jetpur 8,446
- Jhadeshwar 28,148
- Jhālod 28,720
- Jhulasan 8,000
- Jodhpur 47,329
- Jodiya Bandar 15,788
- Jūnāgadh 319,462
- Kabilpor 15,699
- Kadi 81,404
- Kadod 16,747
- Kadodara 27,336
- Kakosi 9,734
- Kālāvad 28,314
- Kaliawadi 4,591
- Kalol 134,426
- Kālol 25,929
- Kāndla 25,845
- Kanjari 17,881
- Kānodar 12,389
- Kansad 28,327
- Kapadvanj 49,308
- Karachiya 7,103
- Karamsad 35,285
- Karjan 30,405
- Karvad 5,746
- Kathlāl 22,071
- Kāthor 15,311
- Katpur 8,677
- Kawānt 9,553
- Keshod 76,193
- Kevadiya 6,788
- Khambhāliya 41,734
- Khambhāt 99,164
- Khanpur 0
- Khapat 16,744
- Kharach 5,436
- Kharaghoda 11,944
- Kheda 25,575
- Khedbrahma 29,402
- Kherālu 21,843
- Kim 18,638
- Kodīnar 41,492
- Kosamba 33,221
- Kotharia 53,794
- Kundla 76,809
- Kutiyāna 16,877
- Lakhtar 14,534
- Lālpur 15,076
- Lāthi 22,745
- Lavachha 8,549
- Lilia 10,359
- Limbdi 42,769
- Līmkheda 3,924
- Limla 3,683
- Limodra 1,869
- Lūnāvāda 36,954
- Madhapar 32,293
- Madhavkampa 2,200
- Mahemdāvād 35,368
- Mahendranagar 12,565
- Mahesāna 190,753
- Mahudha 17,722
- Mahuva 98,519
- Mahuver 10,749
- Maktampur 10,704
- Malanka 4,765
- Māliya 15,964
- Mālpur 6,971
- Mānāvadar 30,850
- Māndal 13,345
- Māndvi 51,376
- Māndvi 18,669
- Māngrol 69,779
- Mānkuwa 11,975
- Mānsa 30,347
- May 2,523
- Meghraj 11,363
- Mendarda 17,166
- Mirjhapar 7,109
- Mithapur 10,508
- Modāsa 67,648
- Mora 13,924
- Morvi 210,451
- Morwa 20,168
- Mota Natava 6,001
- Mundra 20,338
- Nadiād 225,071
- Naliya 10,587
- Nanakwada 10,172
- Nandej 9,176
- Nandelav 13,583
- Nandesari INA 8,290
- Nari 9,467
- Naroda 5,366
- Nasvadi 8,076
- Nava Bhildi 4,994
- Navsari 171,109
- Od 23,250
- Okha 62,052
- Olpād 14,091
- Orvad 5,420
- Paddhari 10,547
- Padra 46,660
- Pāl 2,170
- Palaj 2,634
- Pālanpur 141,592
- Palej 12,334
- Pālitāna 64,497
- Pāliyād 10,862
- Palod 7,698
- Parabada 6,255
- Pārdi 28,495
- Pardi Kanade 9,167
- Pardi Parnera 5,454
- Pardi Sondhpur 7,833
- Parnera 12,296
- Pātan 133,737
- Patdi 17,725
- Pethāpur 23,497
- Petlād 55,330
- Petro-Chemical Complex INA 1,951
- Pipāvāv Bandar 1,858
- Pipodara 7,765
- Porbandar 152,760
- Prāntij 23,596
- Rādhanpur 39,558
- Rājkot 1,390,640
- Rājpīpla 35,392
- Rājula 38,489
- Ran 8,648
- Rānāvāv 46,018
- Ranoli 11,726
- Rānpur 16,944
- Rāpar 28,407
- Raval 19,777
- Ravapara 12,206
- Reliance Complex 12,796
- Rib 1,392
- Roha 8,664
- Sachīn 28,102
- Sachin INA 2,680
- Sāgbāra 4,496
- Saij 13,882
- Saktasanala 5,786
- Salāya 33,246
- Salvav 5,486
- Sānand 95,890
- Sanjali 5,344
- Sanjan 15,544
- Sanjeli 7,448
- Sankheda 12,077
- Santrampur 19,465
- Saputara 2,968
- Sarangpore 16,671
- Sarigam INA 19,903
- Sarkhej 30,341
- Sathamba 7,213
- Savarkundla 78,354
- Savgadh 13,841
- Sāvli 18,467
- Sayan 15,324
- Sāyla 15,376
- Selamba 6,717
- Shāhpur 12,867
- Shaktinagar 13,463
- Shehera 19,175
- Sherpura 5,748
- Shivrājpur 6,705
- Siddhapur 61,867
- Sidsar 11,795
- Sihor 54,547
- Sikka 28,814
- Singarva 12,547
- Sinor 11,267
- Sojītra 19,403
- Solsumba 18,796
- Songadh 26,515
- Sukhpar 13,303
- Surat 4,591,246
- Surendranagar 179,628
- Sutrāpāra 26,132
- Talāja 29,948
- Talala 21,060
- Talod 18,298
- Tankāra 10,175
- Tarsadi 29,305
- Tarsali 4,929
- Thān 42,508
- Thara 18,060
- Tharād 27,954
- Thāsra 18,337
- Trajpar 16,637
- Ukal 7,453
- Umargām 27,859
- Umbergaon INA 6,976
- Umrāla 11,874
- Umreth 33,762
- Un 30,671
- Una 58,528
- Undera 16,902
- Unjha 57,108
- Upleta 58,775
- Utrān 14,855
- Vadāli 20,646
- Vādāsinor 39,330
- Vadnagar 27,790
- Vadodara 1,822,221
- Vāghodia 16,604
- Valabhīpur 18,663
- Vālia 1,084
- Vallabh Vidyanagar 32,581
- Valsād 139,764
- Valsad INA 1,162
- Vānsada 14,072
- Vanthli 14,554
- Vapi 163,630
- Vapi INA 34,162
- Vareli 9,033
- Vartej 11,354
- Vaso 15,934
- Vāv 12,034
- Vavdi Bujarg 9,107
- Vavol 12,628
- Vejalpur 121,610
- Verāval 171,121
- Vijalpor 81,245
- Vijāpur 35,118
- Vijayanagar 6,078
- Vinchia 12,355
- Viramgām 55,821
- Virpur 10,238
- Vīsāvadar 19,515
- Visnagar 76,753
- Vithal Udyognagar INA 5,035
- Vyāra 39,789
- Waghāi 6,715
- Wānkāner 47,814
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