Jharkhand, India weather forecasts
230 cities and towns of 1,000 people or more, each with its own forecast page.
- Alagdiha 4,609
- Alaudiā 4,943
- Amlabad 4,636
- Arā 13,547
- Aralgoria 4,647
- Arsande 9,582
- Bachrā 12,969
- Bagbera 78,356
- Bagra 11,364
- Baliapur 10,097
- Balkudrā 3,915
- Bandh Dih 13,192
- Bandhgora 7,859
- Barajamda 8,629
- Bardubhi 4,185
- Bargāwān 8,615
- Barharwā 12,617
- Barhi 11,867
- Barkā Kānā 18,475
- Barki Saria 24,134
- Barora 3,890
- Barwādih 7,888
- Basukinath 17,123
- Baua Kalan 9,489
- Bekobār 7,184
- Berhait 9,753
- Bermo 17,401
- Bhamal 4,818
- Bhandra 4,606
- Bhetia 174,355
- Bhim Kanari 5,170
- Bhojudih 9,109
- Bishrāmpur 42,925
- Bishungarh 4,847
- Bokāro 564,319
- Bongabār 5,236
- Borio 6,964
- Būndu 21,054
- Burhai 2,410
- Bursera 4,070
- Chāībāsa 69,565
- Chainpur 8,188
- Chakradharpur 56,531
- Chākuliā 16,306
- Chāndil 4,839
- Chandrapura 27,425
- Chandwā 12,046
- Charhi 6,842
- Chas 141,640
- Chatrā 49,985
- Chaupāran 5,361
- Cherra 5,279
- Chhota Gobindpur 31,843
- Chiria 3,945
- Chirkunda 45,508
- Chitarpur 22,837
- Churi 24,876
- Dāndedih 7,769
- Danguwapasi 4,606
- Dari 6,405
- Deoghar 203,123
- Dhanbad 1,196,214
- Dhanwār 8,777
- Domchānch 15,809
- Dugda 22,740
- Dumarkunda 11,434
- Dumka 47,663
- Dumra 6,772
- Egarkunr 11,829
- Gadhra 18,801
- Gamhāria 7,505
- Garhwa 46,059
- Ghāghrā 8,580
- Ghātsīla 40,624
- Ghorabandha 20,718
- Gidi 13,356
- Giridih 114,533
- Gobindpur 27,066
- Gobindpur 11,318
- Godda 48,480
- Gomoh 31,495
- Gopināthpur 5,255
- Gua 12,554
- Gumia 48,141
- Gumlā 51,264
- Gunghasa 6,845
- Haludbani 25,360
- Haludpukhur 10,485
- Hariharpur 6,938
- Harina 4,637
- Hasir 11,195
- Hazāribāgh 153,595
- Hesla 6,286
- Heslā 4,451
- Husainābād 29,241
- Irbā 5,210
- Isri 9,749
- Jadugora 18,563
- Jagannāthpur 7,310
- Jainagar 5,347
- Jāmadoba 34,774
- Jamshedpur 1,339,438
- Jāmtāra 29,415
- Jangalpur 7,603
- Jāridih 31,882
- Jasidih 16,338
- Jena 8,143
- Jharia 86,938
- Jhinghipahari 4,550
- Jhinkpani 13,068
- Jhumri Telaiya 87,867
- Kālikāpur 4,061
- Kāndra 8,157
- Kānke 17,560
- Karma 5,753
- Karma Tanr 5,868
- Karmatanr 6,392
- Kāro 39,305
- Kathhāra 22,080
- Kātrās 57,349
- Kedia 16,054
- Kenduadīh 9,032
- Khalāri 20,010
- Kharkhari 5,656
- Kharsāwān 7,216
- Khunti 36,390
- Kodarma 24,633
- Konrā 8,258
- Kopali 43,256
- Kuju 21,356
- Kumārpur 7,153
- Kurpania 7,789
- Lālpania 3,659
- Lāpangā 8,017
- Lātehār 26,981
- Lohārdagā 57,411
- Madhuban 4,316
- Madhupur 55,238
- Mahāgama 10,969
- Maheshlundi 7,389
- Mahlidih 6,381
- Mahuda 5,196
- Maithon 18,830
- Majhiāon Kalān 18,349
- Malkera 12,591
- Māndu 10,223
- Mango 223,805
- Manoharpur 13,189
- Marāi Kalān 10,447
- Marār 5,298
- Marma 4,640
- Masrātu 5,996
- Matigara 5,685
- Medininagar 78,396
- Meghahatuburu 5,992
- Mera 7,051
- Meru 7,780
- Mugma 3,195
- Muraidih 6,360
- Mushābani 32,761
- Nagri Kalan 9,410
- Nandkharki 4,427
- Narra 5,390
- Neturhāt 4,424
- Nirsā 14,794
- Noāmundi 17,954
- Orla 5,809
- Pakur 45,840
- Panchet 7,296
- Panrra 9,563
- Paratdiha 8,854
- patamda 10,655
- Pāthardih 45,276
- Patpāt 1,150
- Patra 9,536
- Patrātu 32,899
- Patrodih 5,293
- Pelāwāl 14,848
- Phulwartanr 5,884
- Phusro 185,555
- Pondarkanali 6,611
- Purihasa 7,897
- Rājābhita 8,820
- Rājmahal 22,514
- Rāmgarh 88,781
- Ranchi 1,120,374
- Rasikpur 8,320
- Rātu 22,379
- Rāy 6,977
- Religāra 8,239
- Sāhibganj 95,890
- Sahnidih 6,777
- Sangrāmpur 6,184
- Sānri 6,186
- Sansikhara 4,570
- Saraikela 14,252
- Sāram 15,212
- Sarauni 4,970
- Sarjamda 23,788
- Sāruberā 3,310
- Satgawan 11,811
- Saunda 81,915
- Seota 6,554
- Sewāi 7,874
- Shāhpur 13,513
- Sialgudri 5,450
- Sijhua 4,376
- Sijua 31,537
- Simdega 42,944
- Sinduria 5,262
- Sini 6,382
- Sirka 19,871
- Sirsia 7,181
- Siuliban 24,202
- Suranga 4,708
- Tanr Balidih 7,982
- Taping 5,080
- Tāti 12,878
- Telo 14,274
- Tenu 4,533
- Termi 5,111
- Tetra 2,154
- Tilodih 6,970
- Tinpahār 5,336
- Topa 5,028
- Topchānchi 6,082
- Torpa 8,592
- Toto 5,237
- Tundhul 11,190
- Urimāri 4,948
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