Vilas, Watauga County, North Carolina
Rain on 115 acres
Measured from an 800 metre precipitation grid, checked against 23 rain gauges and one that stood four and a half kilometres from the farm gate in the 1950s. The farm sits in a rain shadow, and its number is lower than the county's.
- Centroid
- 36.2466° N, 81.7504° W
- Elevation
- 2,896 ft / 883 m
- Tract
- 115 acres / 46.5 ha
- Basis
- 1991–2020 normal
01
Where the rain falls
This is the real precipitation field around the farm at 800 metre resolution. Every square is about 171 acres of ground, and the whole farm fits inside a single one of them. Annual totals in this one view run from to inches: a 34 inch spread inside a box 50 miles across. That is the first thing to understand about rainfall here. It is not a county-level number, it is a hillside-level number.
Switch to Terrain to see the ground underneath, and the two maps stop looking like a coincidence. Hovering reads both layers at once.
02
Why this valley is one of the dry ones
Elevation is the obvious explanation and it is mostly the wrong one. Across all 9,072 cells in the map above, height explains only 12 percent of the variation in annual rainfall. The lapse rate is a feeble 2 inches per 1,000 feet, and the scatter around it is wider than the signal.
Add a single extra term, how much higher a place sits than the land upwind of it, and the model explains 64 percent. The field is organised by exposure, not altitude. Two gauges 12 kilometres apart make the same point without any statistics: Blowing Rock and Banner Elk sit within 40 metres of the same elevation and are 14 inches apart, and Beech Mountain is 370 metres higher than Blowing Rock and 12 inches drier.
Blowing Rock, 1,174 m
63.7 in
Standing above the land on every side. Nothing shelters it.
Banner Elk, 1,137 m
49.5 in
37 m lower, but tucked behind Beech Mountain. 14 inches drier.
Beech Mountain, 1,540 m
51.5 in
The highest of the three, and still drier than Blowing Rock.
Rainfall against elevation, 17 gauges
If height drove rainfall these points would form a line. They do not.
Which way the exposure points
How well the model fits as the upwind index is swung through all 360 degrees.
The exposure is strongly directional, and it points northwest
Swinging the upwind index through every compass bearing, the model fits best when upwind means northwest (R² 0.64, and anywhere from 285° to 345° does nearly as well) and worst pointing south-southwest (0.10). Northwest flow behind cold fronts is a well known precipitation regime in these counties. A terrain index is geometry rather than a wind measurement, though, and a year's rain blends several storm types, so read this as the shape of the field rather than proof of one wind. What it does settle is that which way ground faces matters more than how high it stands, and this farm faces the sheltered way.
A gauge that stood 4.5 km from the farm, and what it proves
A weather station called Mast operated just down the valley from 1949 to 1962. On the 4,780 days when Mast and Boone both reported, Mast caught 71.5% of what Boone caught. The 800 m grid, built independently and decades later, puts the same two points at 73.4%. Two methods, seventy years apart, agree within 2.6 percent that this valley runs roughly 28 percent drier than Boone, 10 km away. That is why the farm's number is not Boone's number.
03
How precise is 50 inches
Two national gridded datasets cover this farm and they disagree by 8.5 inches, so the first job was deciding which to believe. Both were tested against the 11 gauges within 55 km that have 20 or more complete years in the 1991 to 2020 window, using each station's own observed annual totals rather than its published normal.
PRISM wins clearly: almost unbiased, and within about 1.5 inches. Daymet runs 2.4 inches wet at every single station. So the estimate is built on PRISM, then nudged by the local gauge network.
PRISM 800 m
±1.5 in
Bias +0.44 in, RMSE 1.48 in across 11 long-record gauges.
Daymet 1 km
±3.2 in
Bias +2.38 in. Wet at 11 of 11 stations, so a systematic fault.
Final method
±2.0 in
Leave-one-out error when the method predicts a gauge it never saw.
Gridded estimate against what the gauge actually caught
Each point is one weather station. The diagonal is perfect agreement. Points above it mean the grid claims more rain than the gauge measured.
| Method | Annual inches |
|---|
One number worth flagging
NOAA publishes an official 1991 to 2020 normal of 52.66 inches for the Boone gauge. Its own year-by-year records for that same station average 59.14 inches over 26 complete years, and the published normal carries an estimation flag. The measured record, which PRISM reproduces to within a quarter of an inch, was used instead. Taking the published normals at face value would have made every number on this page about 6 inches too low.
04
Through the year, and the summer problem
There is no dry season here. The wettest month, July, gets 5.0 inches and the driest, February, 3.2, a remarkably flat distribution by any standard. Summer carries 28.5 percent of the year and winter 21.9 percent.
That flatness hides the real constraint. Reference evapotranspiration, the water the atmosphere pulls back out of grass and soil, totals inches a year against 50 inches of rain. The surplus is only inches, and it does not arrive where the grass needs it: May, June, July and August all run a deficit. Most of the farm's usable water falls in the cold months, when nothing is growing.
Rainfall against atmospheric demand, by month
Bars are precipitation. The line is reference evapotranspiration, computed by Hargreaves from 30 years of daily temperature at this location. Shaded months are in deficit.
| Month | Rain, in | Ref. ET, in | Balance, in | Gallons on 115 ac |
|---|
05
No year is an average year
Fifty inches is the long-run mean. The farm has never received exactly fifty inches. Scaling the 46 year Boone record to this location gives a standard deviation of 11 inches, a coefficient of variation of 23 percent, and a range from 30.3 inches in 1988 to 79.0 inches in 2018. The gap between the driest and wettest year on record is 152 million gallons, very nearly a whole extra average year of water.
Farm-equivalent annual precipitation, 1981 to 2025
Does El Niño show up here? Barely, and not enough to plan around
Each year is tagged with the state of the Pacific that winter, from NOAA's Oceanic Niño Index. The textbook signal is real but small: El Niño winters averaged 11.2 inches of January to March rain against 9.4 for La Niña, a difference of 1.8 inches in the direction the theory predicts. With only 12 of each in the record, that gap is not statistically distinguishable from chance (p ≈ 0.14). Over the whole year the signal disappears completely: 49.5 inches in El Niño years against 49.7 in La Niña (p ≈ 0.97). The wettest year on record, 2018, was a La Niña. The driest, 1988, was an El Niño. Use the forecast for winter storm risk if you like, but it will not tell you what kind of year the farm is about to have.
Helene, 25 to 29 September 2024
The gauge 3.8 km from the farm recorded 17.79 inches in a week, 15.86 of it in three days, peaking at 6.14 inches on 26 September. That is 36 percent of a normal year in one week, and 55.6 million gallons on 115 acres. The farm's eight mudslides are what that much water does when it arrives faster than ground can take it.
06
What 50 inches actually is
An inch of rain on an acre is 27,154 gallons. On 115 acres every single inch is 3.12 million gallons, so the whole year comes to gallons. Spread evenly it would stand 4 feet 2 inches deep over the entire farm, and it arrives at an average of 297 gallons a minute, continuously, all year.
Counted as raindrops
Counted as showers
How both of those were worked out
Drops. There is no single raindrop size, so the honest answer is two numbers. If you picture the classic 2 mm raindrop, which holds 4.19 cubic millimetres, the year is trillion of them. Real rain also contains far more small drops than large ones, and using the Marshall-Palmer drop-size distribution, the standard description of that mix, the count rises to roughly quadrillion. The exact figure depends on how hard it is raining, because heavy rain falls in bigger drops: across the rates that deliver most of the year's water the answer runs from to quadrillion.
Showers. At 2.5 gallons a minute, the maximum a US showerhead is allowed to use, the farm's annual rainfall would run a shower continuously for years. Put another way, it is a ten-minute shower every single day for years, which is about times longer than Shipley Farms has existed.
| Measure | Quantity |
|---|
Where it goes
About 42 of the 50 inches evaporates or transpires back into the air. The remaining 8.2 inches, roughly 25.6 million gallons a year, is the farm's genuine water yield: what runs off into Linville Creek and what recharges the groundwater the springs and wells draw on. The herd of 25 to 40 head drinks on the order of 220,000 gallons a year, under one percent of what falls.
07
Method, and what this cannot tell you
Every figure here traces to public measurement. Nothing is modelled from a regional average.
- Depth. PRISM 800 m 1991–2020 annual normal read at the farm centroid, 48.35 inches, corrected by the residuals of 20 gauges within 13 km, weighted by inverse distance squared and by record length. Six method variants span 48.4 to 54.5 inches; the median, 50 inches, is the estimate. Leave-one-out validation on long-record gauges gives a bias of 0.07 inches and an RMSE of 2.0 inches, which is the stated uncertainty.
- Gauge normals. Volunteer gauges miss days, and the missing days are not random. Each station was compared with the 47 year Boone record using only the days both reported, then that ratio applied to Boone's own observed mean. This removes the missing-day bias entirely, which matters: the nearest gauge's raw complete-year average is 4 inches higher than its paired-day result.
- Terrain and exposure. Elevation is USGS 3DEP resampled to the same 800 m grid as the rainfall. The exposure term is how far a cell stands above the land 16 km upwind of it; bearing and distance were both scanned rather than assumed.
- Volume. 1 acre-inch = 27,154.286 US gallons = 102.790 m³. Water density at 15 °C. Drop counts use Marshall-Palmer with N₀ = 8,000 m⁻³mm⁻¹ and Λ = 4.1R⁻⁰·²¹.
- Resolution is the hard limit. One PRISM cell is 171 acres and the farm is 115, so the farm is smaller than the smallest thing any available dataset can resolve. Nothing can tell you how rainfall varies between the top and bottom of this tract. The local gradient is 3.26 inches per kilometre pointing east, implying roughly 2 inches of difference across the property, but that is at the resolution floor and inside the error bar. Treat it as indicative, not measured.
- Gauges undercatch, and so does PRISM. Unshielded gauges lose a few percent of rain to wind and considerably more of snow. PRISM is built from those same gauges and inherits it. True precipitation is likely 2 to 5 percent above every figure here, most of the shortfall in the winter snow months. These numbers are gauge-equivalent, which is the convention and the comparable quantity.
Precipitation grid PRISM Climate Group, Oregon State University. 1991–2020 normals, 30 arc-second (800 m) and 2.5 arc-minute. Accessed 2 October 2026.
Gauge records NOAA NCEI Global Historical Climatology Network Daily, Global Summary of the Year, and 1991–2020 US Climate Normals. 392 precipitation stations within 80 km; 23 used.
Daily weather Daymet V4 R1, Thornton et al., ORNL DAAC, 1 km single-pixel extraction, 1980–2025.
Terrain USGS 3DEP elevation. Position US Census Bureau geocoder.
El Niño NOAA Climate Prediction Center Oceanic Niño Index, ERSSTv5.
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