Haryana, India weather forecasts
161 cities and towns of 1,000 people or more, each with its own forecast page.
- Adampur 25,531
- Akaira 7,110
- Ambāla 195,153
- Ambala Sadar 104,974
- Āsan Khurd 6,873
- Āsandh 27,125
- Ateli Mandi 7,619
- Bablāi 26,412
- Badh Malak 6,938
- Bādshāhpur 15,593
- Baghaula 5,413
- Bahadurgarh 170,767
- Bara Uchāna 16,815
- Barāra 21,545
- Bārhi Mājra 9,188
- Barwāla 43,384
- Bāwal 16,776
- Bawāni Khera 20,289
- Bayānpur 5,406
- Beri Khās 16,727
- Bhākli 9,970
- Bhiwāni 196,057
- Bhundsi 17,410
- Bhuran 5,603
- Bilāspur 11,733
- Bir Ghaghar 4,943
- Būriya 10,903
- Chandīman 9,051
- Charkhi Dādri 56,337
- Chhachhrauli 10,751
- Chīka 38,952
- Dabwāli 62,113
- Dhāruhera 30,344
- Doha 7,642
- Ellenabad 37,680
- Farakhpur 9,569
- Faridabad 1,414,050
- Farrukhnagar 13,513
- Fatehābād 70,777
- Fāzilpur 3,692
- Fīrozpur Jhirka 24,750
- Ganaur 35,603
- Ganguwa 25,847
- Garhi Harsāru 7,894
- Gharaunda 37,816
- Ghatal Mahaniawas 6,005
- Gohāna 65,708
- Gorakhpur 13,068
- Gurugram 886,519
- Hānsi 86,770
- Hasanpur 11,569
- Hāt 7,354
- Hattīn 14,421
- Heli Mandi 20,906
- Hisar 307,024
- HMT Pinjore 3,873
- Hodal 50,143
- Hui 1,566
- Inda Chhoi 7,000
- Indri 17,487
- Ismāilābād 13,726
- Jagādhri 124,894
- Jaitpur 59,330
- Jākhal 7,411
- Jāndli 14,397
- Jhajjar 48,424
- Jhakal Mandi 7,788
- Jīnd 167,592
- Kabri 7,049
- Kachrauli 5,400
- Kaithal 144,915
- Kakar Mājra 3,246
- Kalānaur 23,319
- Kālānwāli 27,355
- Kalāyat 18,660
- Kanīna Khās 12,989
- Kansāpur 18,909
- Kānwāla 5,024
- Kardhān 18,662
- Karnāl 302,140
- Kharkhauda 25,051
- Kheri Nāngal 18,195
- Kheri Sāmpla 10,891
- Khori Kalān 6,007
- Kundli 21,633
- Ladrāwan 6,905
- Lādwa 28,887
- Lohāru 13,937
- Maham 20,484
- Mahendragarh 29,128
- Maheshari 9,180
- Mājra 4,884
- Mandholi Kalān 4,500
- Mandi Dabwāli 52,873
- Mānesar 23,448
- Manethi 5,070
- Mani Mājra 15,489
- Māyar 6,039
- Mustafābād 9,042
- Nagīna 11,417
- Nāngal Chaudhri 8,538
- Nanhera 6,035
- Naraingarh 22,832
- Narnaul 74,581
- Nārnaund 17,242
- Narwāna 62,090
- Nīlokheri 17,938
- Nīsang 17,438
- Nūh 16,260
- Palwal 131,926
- Palwal Rural 23,072
- Panchkula 211,355
- Panipat 295,970
- Panipat Taraf Ansar 42,877
- Panipat Taraf Makhdum Zadgan 67,998
- Panipat Taraf Rajputan 28,803
- Pāsaur 1,309
- Pataudi 20,418
- Pehowa 39,101
- Pingawān 12,612
- Pinjaur 35,912
- Pūnāhāna 24,734
- Pūndri 33,484
- Pyāla 4,291
- Radaur 13,690
- Rāipur Rāni 9,028
- Rāmgarh 4,934
- Rāmpura 5,954
- Rānia 25,123
- Ratia 37,152
- Rewāri 143,021
- Rohtak 374,292
- Sādhaura 14,818
- Safidon 34,728
- Sāha 8,100
- Salamba 5,727
- Samālkha 39,710
- Sāmpla 20,563
- Sātraud Kalān 11,932
- Sātraud Khurd 5,568
- Satrod Khas 10,932
- Shādīpur Julāna 18,755
- Shāhābād 42,607
- Sikandarpur 8,894
- Sirsa 182,534
- Sisauli 22,479
- Siwāni 19,143
- Sohna 36,552
- Sonīpat 289,333
- Sunāri Kalān 7,506
- Tāoru 22,599
- Thānesar 155,152
- Tilpat 20,514
- Tirāwari 25,944
- Tohāna 63,871
- Toshām 15,559
- Tūndla 5,658
- Ugrākheri 24,440
- Uklāna 13,219
- Ūncha Sawāna 8,922
- Yamuna Nagar 217,071
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