Chhattisgarh, India weather forecasts
191 cities and towns of 1,000 people or more, each with its own forecast page.
- Aamadi 6,600
- Abhanpur 14,432
- Adbhār 7,272
- Ahīwāra 20,384
- Akaltara 22,712
- Ambāgarh Chauki 9,889
- Ambikāpur 121,071
- Antāgarh 6,777
- Arang 19,091
- Arjunda 4,851
- Bacheli 21,435
- Bāgbahra 19,529
- Bagicha 10,427
- Baikunthpur 28,431
- Balod 23,648
- Baloda 13,630
- Baloda Bāzār 26,632
- Balrampur 4,456
- Baramkela 5,600
- Barsur 6,636
- Basna 10,345
- Bastar 10,048
- Bemetāra 28,536
- Berla 5,165
- Bhairamgarh 9,026
- Bhakhāra 7,547
- Bhānpurī 17,270
- Bhānupratāppur 8,125
- Bhātāpāra 57,537
- Bhatgaon 11,204
- Bhatgaon 8,044
- Bhelai 27,158
- Bhilai 627,734
- Bhilai Charoda 98,008
- Bhopālpatnam 4,445
- Bījāpur 16,129
- Bilaigarh 5,544
- Bilāspur 365,579
- Bilha 11,048
- Bisambharpur 4,838
- Bishrampur 11,367
- Bodrī 17,481
- Borigumma 9,785
- Borla 5,689
- Chāmpa 45,256
- Chandrapur 7,688
- Charāma 9,707
- Chhuīkhadān 7,093
- Chhura 6,095
- Chhuria Kalān 4,509
- Chhurikala 8,239
- Chikhlākasa 6,160
- Chirmiri 100,800
- Dabra 7,854
- Dalli Rājhara 44,363
- Dantewāra 13,633
- Daundi Lohara 6,045
- Deokar 6,358
- Deori 17,265
- Deori 12,286
- Dhamda 9,961
- Dhamtari 101,677
- Dharamjaigarh 14,354
- Dondi 8,042
- Dongargaon 14,693
- Dongargarh 37,372
- Dornapal 7,238
- Durena 5,892
- Durg 268,806
- Fingeshwar 9,752
- Gandai 13,278
- Gariāband 10,517
- Gaurela 18,165
- Gharghoda 9,455
- Gīdam 7,440
- Govindpur 4,392
- Gundardehi 8,614
- Gurur 3,775
- Hirmi 5,139
- Jagdalpur 125,463
- Jaijepur 7,946
- Jāmul 25,878
- Jānjgīr 32,833
- Jarhi 7,228
- Jashpur Nagar 28,301
- Jhagrakhand 7,680
- Job 1,088
- Jūnāgarh 19,656
- Kānker 37,442
- Kasdol 14,071
- Katghora 22,690
- Katkona 4,552
- Kawardha 46,657
- Keskāl 11,115
- Khairāgarh 22,564
- Khamharia 6,998
- Kharod 10,193
- Kharora 9,236
- Kharsia 18,939
- Khongapani 17,400
- Kirandul 19,053
- Kirodimalnagar 13,102
- Kondagaon 30,921
- Koni 7,065
- Koora 8,857
- Korba 419,146
- Kotā 18,405
- Kotapārh 16,326
- Kotba 6,805
- Kumhāri 38,334
- Kunkuri 13,846
- Kurud 13,783
- Kusmi 7,448
- Lād 1,440
- Lakhanpur 6,270
- Lawan 8,984
- Lelanga 8,208
- Lohāra 7,017
- Lormi 15,156
- Magarlor 6,280
- Mahāsamund 54,413
- Malhār 8,505
- Mana-Camp 11,953
- Mandir Hasaud 12,807
- Manendragarh 33,071
- Māro 6,596
- Mehmand 8,231
- Mungeli 36,450
- Nagri 13,308
- Nai-Ledri 5,334
- Nailā 40,561
- Nārāinpur 22,106
- Narharpur 6,500
- Nawagarh 10,541
- Nawāpāra 29,315
- Naya Baradwar 8,793
- Pākhanjur 10,201
- Palāri 8,567
- Pāli 5,514
- Pandaria 16,165
- Pāndātarai 11,000
- Pāparhāhāndi 9,390
- Parasgaon 6,306
- Parpori 3,741
- Partābpur 5,635
- Pasān 30,928
- Pātan 10,133
- Pathalgaon 16,613
- Patharia 6,349
- Pendra 14,120
- Piparia 4,859
- Piriāpāra 4,954
- Pithora 8,428
- Pusaur 4,744
- Rāhud 6,160
- Raigarh 150,019
- Raighar 5,936
- Raipur 1,027,264
- Rāj-Nāndgaon 163,114
- Rajgamar 11,544
- Rājim 14,090
- Rāmānuj Ganj 11,893
- Ratanpur 24,636
- Rawān 5,100
- Sāja 5,257
- Sakrī 12,861
- Saktī 21,955
- Sāragaon 7,216
- Saraipali 20,043
- Sārangarh 14,954
- Sargaon 7,484
- Saria 6,927
- Seorīnārāyan 9,707
- Shivnandanpur 6,567
- Shivpur Charcha 23,514
- Siltara 10,721
- Simga 16,027
- Sirgittī 18,428
- Sitapur 9,361
- Sukma 13,926
- Sukma 0
- Surajpur 20,189
- Takhatpur 19,968
- Than-Khamharia 8,373
- Tilda Newra 36,682
- Tumgaon 7,394
- Tundra 8,211
- Umarkot 28,993
- Utai 8,752
- Visrampuree 9,641
- Wādrupnagar 6,048
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