West Bengal, India weather forecasts
184 cities and towns of 1,000 people or more, each with its own forecast page.
- Adra 22,159
- Ahmadpur 8,855
- Aistala 19,425
- Alīpur Duār 65,232
- Āmlāgora 19,038
- Āmta 16,753
- Arāmbāgh 60,639
- Āsansol 504,271
- Ashoknagar Kalyangarh 111,475
- Badūria 49,547
- Bagdogra 17,372
- Bāgnān 8,494
- Bagulā 20,999
- Baharampur 180,547
- Bahula 16,264
- Baidyabāti 115,504
- Bakreswar 1,739
- Balarāmpur 22,847
- Bāli 296,973
- Bāli Chak 12,957
- Bālurghāt 153,279
- Bangaon 111,693
- Bankra 56,273
- Bānkura 133,966
- Bānsbāria 108,474
- Bārākpur 148,174
- Bārāsat 298,127
- Barddhamān 301,725
- Barjora 12,294
- Baruipur 53,128
- Basirhat City 143,007
- Begampur 9,831
- Beldānga 27,489
- Beliātor 6,014
- Bhadreswar 121,662
- Bhandārdaha 5,079
- Bhātpāra 483,129
- Birpara 30,000
- Bishnupur 64,041
- Bolpur 70,998
- Budge Budge 76,837
- Canning 42,132
- Chakapara 27,320
- Chandannagar 180,623
- Chandrakona 21,855
- Chittaranjan 45,305
- Contai 88,702
- Dalkola 15,285
- Dam Dam 122,719
- Dārjiling 123,797
- Daulatpur 7,620
- Debīpur 9,613
- Dhulagari 21,080
- Dhuliān 77,070
- Dhupgāri 41,168
- Diamond Harbour 41,802
- Digha 3,667
- Dīnhāta 42,381
- Dubrājpur 35,087
- Dumjor 17,972
- Durgapur 518,872
- Egra 32,832
- Fālākāta 20,119
- Farakka 21,834
- Fort Gloster 18,350
- Gangadharpur 7,862
- Gangārāmpur 65,316
- Ghātāl 54,658
- Gobārdānga 43,808
- Gobindapur 11,781
- Gopālpur 6,890
- Goyerkāta 66,358
- Guskhara 33,780
- Hābra 139,297
- Haldia 170,695
- Haldībāri 14,099
- Hālīsahar 128,172
- Harina Pashdal Bar 1,500
- Haringhāta 9,705
- Haripur 7,327
- Hāsimāra 40,000
- Howrah 1,027,672
- Hugli 177,005
- Islāmpur 55,691
- Jaigaon 158,664
- Jalpāiguri 107,832
- Jāmuria 160,242
- Jangipur 82,548
- Jaynagar Majilpur 25,922
- Jhalidā 18,057
- Jhārgrām 57,796
- Joka 9,302
- Joka 4,137
- Jonka 2,509
- Kakdwip 19,368
- Kalaīkunda 3,232
- Kālimpong 43,000
- Kalimpong, Крукети 0
- Kāliyāganj 51,748
- Kālna 53,964
- Kalyani 93,184
- Kāmārhāti 332,965
- Kānchrāpāra 136,954
- Kāndi 54,848
- Karīmpur 9,565
- Kātoya 78,408
- Kenda 15,131
- Kesabpur 10,921
- Kharagpur 219,665
- Kharar 12,049
- Khardah 128,346
- Khātra 16,484
- Koch Bihār 78,737
- Kolkata 4,631,392
- Konnagar 76,082
- Krishnanagar 145,926
- Krishnapur 7,325
- Kulti 305,405
- Kumardubhi 4,832
- Kurseong 46,427
- Lakhyabad 33,162
- Lālgola 28,442
- Madanpur 12,959
- Madhyamgram 161,126
- Maheshtala 448,317
- Mahiari 17,051
- Mahīshādal 17,988
- Maināguri 29,459
- Malda 170,039
- Masila 11,461
- Mātābhānga 22,642
- Māyāpur 10,871
- Medinīpur 153,349
- Memāri 44,448
- Mirik 10,109
- Monoharpur 23,362
- Muragācha 10,324
- Muri 12,744
- Murshidābād 39,557
- Naihāti 253,221
- Naksalbāri 57,283
- Nalhāti 25,878
- Navadwīp 111,123
- Odlābāri 12,311
- Paikpara 2,000
- Pānchla 23,526
- Pandua 28,205
- Pānihāti 378,705
- Parbatipur 8,657
- Pātrasāer 11,520
- Pātuli 4,694
- Pujali 37,047
- Puruliya 122,533
- Raghudebbati 12,833
- Raghunandanpur 8,335
- Raghunathpur 22,802
- Rāiganj 170,252
- Rajpur Sonarpur 424,368
- Rāmjībanpur 18,318
- Rāmnagar 5,195
- Rampur Hat 53,468
- Rānāghāt 70,984
- Rānīganj 131,261
- Rishra 117,014
- Sāhāpur 7,883
- Sainthia 43,221
- Sānkrāil 27,523
- Shāntipur 149,983
- Shrīrāmpur 226,317
- Shyamnagar 441,956
- Siliguri 515,574
- Singur 19,402
- Siuri 64,659
- Solap 13,751
- Sonāmukhi 28,334
- Srirāmpur 18,682
- Tāki 40,113
- Tamlūk 48,646
- Tarakeswar 30,475
- Tasti Tea Garden 5,568
- Titāgarh 127,751
- Tufānganj 20,420
- Tungidighi 1,250
- Uluberiya 235,345
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