
In numbers.
1.1m³/s
Average flow
estimate
Dec–Mar
Best months
250m
Elevation
The water at Siapat Twin Waterfall, month by month
It roars from November to May.
The fullest months: from November to May.
- 1.4 m³/sJan
- 1.4 m³/sFeb
- 1.3 m³/sMar
- 1.2 m³/sApr
- 1.2 m³/sMay
- 1.1 m³/sJun
- 1.0 m³/sJul
- 0.9 m³/sAug
- 0.9 m³/sSep
- 1.1 m³/sOct
- 1.2 m³/sNov
- 1.3 m³/sDec
From about 0.87 m³/s in the lowest month to 1.4 m³/s in the highest. Best months to go, with plenty of water and pleasant days: from December to March.
Estimate: the timing comes from rain, snowmelt and evaporation (NASA POWER, 1991–2020); the amounts from the river model of HydroATLAS (WaterGAP, 1971–2000). Dams upstream can change the real flow.
Siapat Twin Waterfall is a waterfall in Indonesia.
Getting there.
- Kalimarau Airport (BEJ)nearest airport with scheduled flights · 101 km in a straight lineCar hire at DPS airport (Kuta, Badung)Discover Cars · Affiliate link↗
- From December to Marchbest months to go (estimate)
Plan your visit
Stay, explore and get there
Some links above are affiliate links: if you book through them we may earn a commission, at no extra cost to you. It never changes what the data on this page says.
Seen from the sky.
8 × 8 km of cloud-free satellite image, with what OpenStreetMap knows around the falls.
N
2 km
Sentinel-2 cloudless 2016 (EOX, CC BY 4.0), 8 × 8 km, north up. Points © OpenStreetMap contributors.
What is around.
- —viewpoints
- —waymarked walking routes
- —car parks
- —swimming spots
- —picnic sites
- —toilets
- —information boards and visitor centres
- —bus stops within 1 km
- —other named waterfalls within 4 km
- —caves
- —campsites
- —hotels, B&Bs and huts within 6 km
- —restaurants and cafés within 3 km
Counted in OpenStreetMap, the map anyone can edit, up to 2 km around the falls (unless noted). A low number may just mean nobody has mapped it yet. © OpenStreetMap contributors (ODbL).
Weather
The weather, month by month.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afternoon °C | 26 | 27 | 27 | 28 | 28 | 27 | 27 | 28 | 28 | 28 | 27 | 27 |
| Night °C | 23 | 23 | 24 | 24 | 24 | 24 | 23 | 23 | 23 | 24 | 24 | 24 |
| Rain & snow (mm) | 236 | 196 | 201 | 180 | 196 | 152 | 158 | 117 | 159 | 184 | 193 | 227 |
| Wet days | 26 | 22 | 25 | 23 | 25 | 24 | 23 | 20 | 21 | 23 | 26 | 27 |
| Sun h/day | 4.3 | 5.2 | 5.6 | 6.3 | 6.3 | 5.9 | 6.3 | 6.8 | 6.2 | 5.5 | 5.5 | 5.0 |
Long-term averages 1991–2020 (NASA POWER) for a cell about 55 km wide, with temperatures carried to the height of the falls (250 m) at −6.5 °C per 1,000 m. Not a forecast.
Recent years
Wet years and dry years
Rain of each month as a share of the 1991–2020 average. A wet season above 100 % usually means a fuller waterfall.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | 152% | 130% | 162% | 110% | 167% | 85% | 123% | 139% | 69% | 120% | 94% | 93% |
| 2021 | 96% | 91% | 126% | 97% | 127% | 69% | 77% | 176% | 85% | 81% | 69% | 106% |
| 2022 | 128% | 101% | 111% | 115% | 129% | 66% | 105% | 142% | 114% | 90% | 99% | 138% |
| 2023 | 103% | 106% | 82% | 118% | 158% | 71% | 85% | 200% | 177% | 58% | 75% | 92% |
| 2024 | 120% | 123% | 172% | 116% | 119% | 122% | 73% | 129% | 180% | 97% | 103% | 107% |
| 2025 | 143% | 140% | 63% | 145% | 128% | 173% | 117% | 220% | 167% | 128% | 165% | 98% |
130% wetter than usual 70% drier than usual
About these numbers
| Names, height, width, river | Wikidata (Q139989810) · CC0 |
|---|---|
| River flow and catchment | HydroATLAS / RiverATLAS v1.0 (Linke et al. 2019) · CC BY 4.0 |
| Climate | NASA POWER, 1991–2020 |
| Relief, river profile, 3D model | Copernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA |
| Paths, viewpoints, parking | © OpenStreetMap contributors · ODbL |
| Images | EOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons |
Every figure is an average, an estimate or a count from a public dataset. Licences and methods: data sources.
The family
Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers, canyons, caves or dark skies?
Same idea, other landscapes: field atlases built on open data, month by month, in seven languages.