Mpumalanga, South Africa weather forecasts
203 cities and towns of 1,000 people or more, each with its own forecast page.
- Allemansdrif 12,670
- Amersfoort 14,778
- Arthur’s Seat 1,569
- Balfour 46,008
- Barberton 67,927
- Belfast 20,036
- Bethal 72,821
- Betty's Goed 1,784
- Blinkpan 1,446
- Bolla-Tau 12,703
- Bosbokrand 2,109
- Bosfontein 7,811
- Bosoord 1,353
- Breyten 17,189
- Burgersfort 7,630
- Burlington 4,154
- Buyisonto 10,472
- Calcutta 35,864
- Carolina 20,184
- Chrissiesmeer 4,806
- Clare A 2,518
- Croquet Lawn A 2,816
- Daggakraal 15,793
- Davel 1,429
- Delmas 92,046
- Dingleydale A 3,401
- Dingleydale B 1,444
- Dirkiesdorp 2,913
- Doornkop 6,037
- Driefontein 28,127
- Driekoppies 18,498
- Dullstroom 6,256
- Dumfries A 1,950
- Dumfries B 1,804
- Dundonald 4,764
- Edinburgh A 7,305
- Edinburgh B 2,978
- Eglington A 1,457
- Eglington B 1,054
- Ekulindeni 5,416
- Elandshoek 1,410
- Eloff 4,755
- eMakhazeni B 6,118
- Emalahleni 373,403
- eManzana 8,293
- eMbalenhle 142,443
- eMbangweni 3,449
- Embhojeni 12,589
- Emgwenya 7,410
- Empuluzu 15,008
- Emtfuntini 11,323
- eMvelo 8,110
- Ermelo 100,324
- Evander 12,180
- Fayini 1,722
- Fernie 15,693
- Ga-Boelang 3,696
- Ga-Josepha 4,329
- Gemsbokspruit 8,138
- Glenmore 7,180
- Godide 6,291
- Graigieburn 1,394
- Graskop 4,788
- Groblersdal 4,925
- Grootvlei 6,487
- Hazyview 5,074
- Hectorspruit 3,709
- Hendrina 27,300
- Hlanganani 21,506
- Hlavekisa 2,563
- Hlengesha 3,966
- Humulani 2,694
- Islington 4,560
- Iswepe 3,394
- Jim Brown 2,552
- Kamalamule 8,766
- Kamaqhekeza 25,390
- Kamhlushwa 7,917
- Kgapamadi 5,049
- Khokhamoya 9,466
- Khomanani 3,276
- Kinross 18,266
- Komati 2,181
- Komatipoort 20,508
- Kriel 18,255
- Kriel Power Station 1,939
- Kumana 5,235
- KwaDela 4,530
- Kwaggafontein 54,040
- KwaNgema 1,006
- KwaThandeka 7,289
- Lebohang 31,553
- Leslie 39,514
- Lothair 7,306
- Louieville 1,364
- Lukwatini 37,362
- Luphisi 3,487
- Lydenburg 49,605
- Mabharule 2,200
- Maboke 12,752
- Machadodorp 10,712
- Madras A 6,635
- Madyembeni 7,210
- Mafemani 20,389
- Magogeni 7,396
- Mahlobyanini 3,908
- Mahukule B 2,432
- Malelane 4,176
- Mamelodi 3,619
- Manyakatana 4,532
- Mapaleng A 2,206
- Mapulaneng View 4,600
- Marble Hall 3,219
- Marite 8,657
- Marloth Park 1,198
- Masakeng 1,051
- Masakhane 4,811
- Masana 1,616
- Matsamo 2,289
- Matsavana 5,157
- Matshaye 1,640
- Matsulu 47,306
- Maviljan A 6,829
- Maviljan B 4,717
- Mbombela 110,159
- Mhlambanyatsi 9,219
- Middelburg 196,263
- Middelplaas 4,365
- Mkhuhlu 42,969
- Mmametlhake 9,450
- Moloro 2,053
- Moloto South 22,076
- Mooiplaas 4,196
- Morgenzon 9,162
- Morolaneng 4,055
- Motetema 10,090
- Motlamogale 4,702
- Motlamogatsane 2,169
- Mpakeni 1,670
- Mphenyatsatsi 2,159
- New Forest B 4,386
- New Line 1,843
- Ngema Tribal Trust 5,590
- Ngodwana 4,173
- Nhlazatje 28,224
- Nthrowane 8,336
- Oakley 12,064
- Ogies 4,265
- Orinoco A 5,884
- Orinoco B 2,062
- Orinoco C 2,858
- Pelindaba 1,768
- Perdekop 6,087
- Piet Retief 84,349
- Pilgrim’s Rest 2,061
- Pullens Hope 4,120
- Redhill 23,153
- Relani 1,989
- Rietkuil 4,355
- Rivoni 1,424
- Rooiboklaagte A 1,723
- Rooiboklaagte B 3,650
- Roossenekal 3,145
- Rulani 2,485
- Sabi-Sand Game Reserve 1,242
- Sabie 18,903
- Schoemansdal 23,257
- Secunda 20,418
- Sekrepeng 2,024
- Seville B 1,149
- Shata 3,073
- Shatale 9,155
- Sheepmoor 3,267
- Sidlamafa 4,316
- Siyabuswa 44,189
- Sizanane 1,383
- Skoonplaas 2,757
- Somaroboro 114,369
- Standerton 101,101
- Steelpoort 1,323
- Swalluwnest 2,520
- Teka Mahala 2,301
- Tekwane 17,846
- Thabakgolo 5,939
- Thubelihle 15,876
- Thulamahashe 13,333
- Thuli 2,023
- Tiyimeleni A 4,989
- Tiyimeleni B 2,992
- Tjakastad 12,711
- Trichardt 52,776
- Tsakani 8,907
- Tswafeng 1,660
- Tutuka 3,191
- Vaalbank 19,517
- Violetbank D 3,815
- Volksrust 43,378
- Wakkerstroom 8,209
- Wales 2,949
- Warburton 3,411
- White River 25,607
- Wolfenkop 3,660
- Xikhusese 13,324
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