Methodology
Evaporation Calculator — Methods, Coefficients, and Calibration
Full derivation of every formula our Evaporation Calculator runs, the peer-reviewed source of every coefficient, the calibration ranges within which each method is reliable, and the limitations engineers need to disclose in regulatory submissions.
What this calculator computes — and what it does not
Free-surface evaporation from a pond, reservoir, tailings pond, or tank is a coupled mass and energy transfer problem. The water surface loses water vapour to the boundary layer at a rate driven by the vapour-pressure gradient between the wet surface and the overlying air, and the energy required to vaporise that water comes from net radiation, sensible heat from the air, and stored heat in the water column. Different methods make different simplifications about which of those drivers dominate.
Five methods are offered because no single approach is best across all sites and data densities. Penman-Monteith (FAO-56) is the most complete and is the default; it is also the most data-hungry. Priestley-Taylor is the hydrology-textbook standard for wet surfaces with abundant radiation data and is more forgiving when wind data is weak. Hargreaves-Samani is the FAO-recommended fallback when only temperature is available. The Aerodynamic Mass-Transfer model (Harbeck 1962) is what reservoir operators still use for field comparisons against pan data. The Empirical ASHRAE-style formula is a fast pool/HVAC heuristic — useful as a sanity-check upper bound but never as a primary estimate above ~25 °C water temperature.
Every method returns evaporation rate in mm/day. The calculator multiplies that by surface area to get volume per day; multiplies by 365 (or your custom period) for annual loss; and uses your tariff and the FAQ's CO₂ factor for the cost and offset cards. The headline numbers are open-water evaporation — actual net basin loss equals evaporation minus rainfall (the calculator's "Net water loss" toggle subtracts measured monthly precipitation from the climate normals).
Notation used throughout this document
- T_a — air temperature at standard height (°C)
- T_w — water surface temperature (°C). Below 0 the calculator clamps to 0; sub-zero open liquid water is outside the model's domain.
- RH — relative humidity (%)
- u_2 — wind speed at 2 m height (m/s)
- e_s, e_a — saturation and actual vapour pressure (kPa, or hPa where noted)
- e_w — saturation vapour pressure at the water surface (hPa, Magnus)
- Δ — slope of the saturation vapour pressure curve at T_a (kPa/°C)
- γ — psychrometric constant (kPa/°C), function of atmospheric pressure
- R_n — net radiation at the water surface (MJ/m²/day)
- R_a — extraterrestrial radiation (MJ/m²/day), function of latitude and day-of-year
- G — heat flux into the water column (MJ/m²/day)
- λ — latent heat of vaporisation (≈ 2.45 MJ/kg at 20 °C)
- α — Priestley-Taylor coefficient (1.26 for open water)
- N(A) — Harbeck area-dependent mass-transfer coefficient (mm/day per m/s per hPa)
- φ, J — latitude (rad) and day-of-year (1–365)
Method 1 · default
Penman-Monteith (FAO-56)
Formula:
E = (Δ · (R_n − G) + γ · (900 / (T_a + 273)) · u_2 · (e_s − e_a))
÷ (λ · (Δ + γ · (1 + 0.34 · u_2))) Source: Allen et al. 1998, FAO Irrigation & Drainage Paper 56, equation (6). Penman's 1948 combination equation united the radiation-driven Bowen-ratio approach with Dalton-style aerodynamic transfer; Monteith (1965) generalised it with a canopy resistance, and Allen et al. (1998) standardised the open-water / reference-grass form that practising engineers now cite.
Why this is the default
Penman-Monteith is the only method in the calculator that closes the energy budget while also resolving the aerodynamic transport term. That dual closure is why FAO recommends it as the sole reference method for crop ET and why hydrology agencies (USGS, USBR) and irrigation engineers use it as the benchmark against which other methods are validated. It accepts every input the calculator can gather — radiation, humidity, wind, pressure, T_a, T_w — and it does not assume any one of them dominates.
Coefficients and where they come from
- 0.408 — conversion from MJ/m²/day to mm/day for water (1 / 2.45). FAO-56 §3.
- 900 / (T_a + 273) — aerodynamic time-of-day weighting for daily mean conditions. FAO-56 eq. (6).
- 0.34 — surface-resistance coefficient for the reference grass surface; the calculator retains it for open water as a conservative default.
- λ ≈ 2.45 MJ/kg — latent heat of vaporisation at 20 °C. Varies ±2% across 0–40 °C and is treated as constant.
- R_n — derived from sunshine hours, latitude, albedo, and clear-sky calibration constants per FAO-56 §3 (see Shared physics).
Reported accuracy
FAO-56 validation against weighing lysimeters: RMSE 0.3–0.7 mm/day in well-instrumented temperate sites, ~10–15% bias in arid and high-altitude climates. For lakes, Lenters et al. (2005) compared Penman-Monteith against eddy-covariance evaporation on Sparkling Lake (Wisconsin) and reported monthly closure within 5–10% in the open-water season.
When to use
Default for any site with weather data (cloud cover / sunshine hours, wind, humidity, T_a). Required by the FAO-56 framework for irrigation-permit work and by USGS / USBR convention for reservoir operations modelling. Use Priestley-Taylor instead if wind data is absent or very uncertain.
Method 2 · radiation-driven
Priestley-Taylor (1972)
Formula:
E = α · (Δ / (Δ + γ)) · (R_n − G) / λ, α = 1.26 Source: Priestley & Taylor (1972), Monthly Weather Review 100, "On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters." Derived from the Penman combination equation by dropping the aerodynamic term and replacing it with an empirical multiplier α applied to the equilibrium evaporation rate Δ/(Δ+γ)·R_n/λ.
Why α = 1.26
Priestley & Taylor's original analysis of saturated land surfaces, ocean surfaces, and reservoirs found that observed evaporation consistently exceeded the equilibrium rate by a factor of ~1.26 when the surface was wet and not water-stressed. The coefficient absorbs the contribution of large-scale aerodynamic transport — wind, the humidity deficit, boundary-layer entrainment — into a single empirical scaling. Stewart & Rouse (1977) and Eichinger et al. (1996) confirmed 1.26 ± 0.05 for open water bodies; the calculator uses 1.26 as the canonical value.
When to use
Best for open water (lakes, reservoirs, tailings ponds) when you have confidence in radiation but weak wind data. The textbook standard in most hydrology curricula for lake evaporation precisely because it is less sensitive to the most error-prone input — wind. Slightly under- predicts on small, sheltered ponds where advected heat from the surroundings matters; slightly over-predicts at very high wind speeds.
Sensitivity
Linear in R_n. ±10% on R_n → ±10% on E. Insensitive to wind and humidity (those enter only through R_n's longwave term). This is the reason Priestley-Taylor lake monitoring programmes can rely on satellite radiation products without ground stations.
Method 3 · temperature-only fallback
Hargreaves-Samani (1985)
Formula:
E = 0.0023 · 0.408 · R_a · (T_mean + 17.8) · √(T_max − T_min) Source: Hargreaves & Samani (1985), Applied Engineering in Agriculture 1(2), DOI 10.13031/2013.26773. FAO-56 §B explicitly recommends this as the fallback when humidity, wind, or radiation data are unavailable.
The diurnal range proxy
Hargreaves and Samani's key insight is that the daily temperature range √(T_max − T_min) is an excellent proxy for incoming solar radiation (a cloudy day has a small range; a clear day has a large one). That lets the model close the energy budget using only temperature, with no need for cloud-cover or sunshine-hour observations. The calculator uses real monthly mean of daily maximum and minimum from Open-Meteo's ERA5 daily archive when available; when it has only an instantaneous T_a (single-snapshot mode), it falls back to T_a ± 5 °C, a conservative midlatitude diurnal range.
Coefficients
- 0.0023 — empirical scaling fit to lysimeter data at multiple sites by Hargreaves & Samani (1985).
- 0.408 — MJ/m²/day → mm/day conversion factor (1 / λ).
- +17.8 — empirical offset that anchors the temperature term against radiation; not a physically interpretable constant.
When to use
When the only reliable data is air temperature. Useful for monthly permit applications relying on climate normals where humidity and wind records are sparse. FAO-56 validation: 10–15% systematic underestimate at sub-humid sites, 5–10% overestimate at very arid sites; reduce error with the local pan-coefficient calibration (see below).
Method 4 · field-engineering standard
Aerodynamic Mass-Transfer (Harbeck 1962)
Formula:
E = N(A) · u_2 · (e_w − e_a)
N(A) = 0.291 · A^(−0.05), clamped to [0.12, 0.30] mm/day per m/s per hPa Source: Harbeck, G.E. Jr. (1962), U.S. Geological Survey Professional Paper 272-E, "A Practical Field Technique for Measuring Reservoir Evaporation Utilizing Mass-Transfer Theory."
Why N is area-dependent
Earlier Dalton-style mass-transfer models used a fixed coefficient,
typically calibrated against the ~9 km² Lake Hefner (Oklahoma)
evaporation study of 1950–51 (~0.113 mm/day per m/s per hPa).
Harbeck's contribution was to fit measurements across 19 reservoirs
spanning four orders of magnitude in surface area and show that
smaller water bodies have a higher mass-transfer coefficient — the
boundary layer over a small pond is less developed, so vapour escapes
more efficiently. The power-law fit
N = 0.291 · A^(−0.05) (A in m²) collapses the
cross-reservoir scatter to within ±15% on annual evaporation.
The calculator clamps N to [0.12, 0.30]: below 0.12 you have entered Harbeck's large-lake asymptote (good); above 0.30 you have left the regression's domain (sub-square-meter puddles do not behave like reservoirs — droplet physics takes over). Outside this range, prefer a method that does not rely on N.
Why this matters in practice
A 10-acre (40 000 m²) reservoir gives N ≈ 0.166 — 47% higher than the Lake Hefner value of 0.113. A 1-acre pond gives N ≈ 0.183, 62% higher. For typical industrial sites (< 10 ha), pinning N to the Lake Hefner value understates evaporation by 30–80%. Pre-Harbeck calculators that hard- coded 0.113 (or a single locally fitted N) are systematically wrong on small reservoirs in this direction — a fact the calculator's method-comparison table makes immediately visible.
Adjustments layered on top
The calculator multiplies the Harbeck base rate by four modifiers that earlier mass-transfer implementations either bury in a constant or omit:
- Pressure factor 1013.25 / P(elev) — corrects vapour-pressure deficit for site elevation (barometric formula).
- Sun exposure — 1.05 / 1.00 / 0.85 for full / partial / heavy shade.
- Surface features — ×1.20 when sprays, fountains, or aerators are present (turbulent surface area).
- Fetch factor — Lake-Hefner-style logarithmic reduction for short upwind distances (no boundary-layer equilibrium below ~50 m fetch).
- Salinity — linear water-activity reduction (1 − salinity %).
When to use
When wind and water-temperature data are reliable and you want a method that does not depend on radiation estimates. Strongly preferred for short-period studies (hours to days). The historical method of record in USBR and USGS reservoir-evaporation reports for the western United States.
Method 5 · upper-bound sanity check
Empirical Mass-Transfer (ASHRAE-style)
Formula:
g_h = (25 + 19 · u) · A · (X_s − X) [kg/hour] Source: Smith, C.C., Lof, G.O.G. & Jones, R.W. (1993), ASHRAE Transactions 99(2); used in the ASHRAE Handbook (HVAC Applications, Ch. 5, Service Water Heating). The formula was fit to laboratory pool tests; X is the humidity ratio (kg water vapour per kg dry air).
Why this is the conservative upper bound
The ASHRAE pool formula was calibrated against indoor swimming pools (warm water, calm air, no radiation). When applied to open-water reservoirs in hot climates it over-predicts evaporation by 2–4× above ~25 °C water temperature, because the (25 + 19·u) coefficient is too high for a fully-developed outdoor boundary layer. The calculator retains it because (1) HVAC engineers familiar with the formula want a like-for-like cross-check, and (2) it is useful as a conservative upper bound when sizing makeup water systems.
When NOT to use
Permit applications, lifecycle ROI, sizing for makeup-water purchase agreements — anywhere a 2–4× overestimate would inflate the business case. The calculator surfaces a warning banner when the empirical method is selected and water temperature exceeds 25 °C.
Pan-coefficient calibration
The strongest single-site validation is a Class A pan evaporation record. The Class A pan is a standardised 121 cm diameter, 25.5 cm deep galvanised-steel pan recommended by the WMO and operated by NWS / NOAA, the BoM in Australia, and most national meteorological services. Pan evaporation E_pan over-predicts open-water evaporation E_lake by a factor of 1.0 / k_p; the pan coefficient k_p typically falls in 0.55–0.85 for free-standing reservoirs, with 0.70 as the widely-cited default for unsheltered inland reservoirs (FAO-56 Annex C; Webb 1966; Brutsaert 1982).
Sources of variation in k_p
- Fetch — Hounam (1973): k_p rises from ~0.6 at fetch < 1 m to ~0.85 at fetch > 1 000 m of upwind green cover.
- Wind speed — light wind (k_p ≈ 0.85), strong wind (k_p ≈ 0.55).
- RH — humid sites (k_p high), arid sites (k_p low).
- Reservoir depth — deep reservoirs lag pans seasonally; for monthly comparisons against a pan record on deep lakes, expect a 1–3 month phase shift, not just a magnitude correction.
Using the calculator's pan calibrator
The Pan-Coefficient Calibrator (Advanced ▸ Pan calibration) takes your monthly Class A pan data and back-solves the best-fit per-method k_p plus the residual RMSE. That gives you (a) the site-specific k_p to apply to future calculator outputs, and (b) a sense of which method tracks your pan record most closely — an important disclosure in a permit application. The calibration uses ordinary least squares on monthly means; the calculator reports k_p, RMSE, and percent-bias for each of the five methods.
If your jurisdiction (e.g. TCEQ, DAFW, SA DWA, CA SWRCB) requires a published k_p or a regional Class A regression, the regulatory templates (Advanced ▸ Regulatory) pre-fill the calculator with the jurisdiction's prescribed values and produce a permit-ready summary with the citations in place.
Known limitations — disclosures for permit submissions
- Daily mean inputs — all methods compute a daily evaporation rate from daily mean meteorological inputs. Sub-daily extremes (a high-wind afternoon) are not resolved. For high-resolution operational planning, use a sub-hourly Penman-Monteith model with eddy-covariance forcing.
- Stratified deep lakes — the heat-storage term G captures bulk seasonal lag but does not resolve thermocline dynamics. For lakes > 20 m deep, prefer a coupled hydrodynamic model (DYRESM, GLM).
- Brackish to brine conditions — the salinity correction is linear; above ~20% TDS use a Pitzer-equation activity model.
- Sub-zero open water — the calculator clamps T_w to 0 °C. Sublimation from ice is a different regime (Stefan flow + Knudsen layer) and is not modelled. Cold-climate ice-on basins should switch to a sublimation model in winter months.
- Sheltered ponds with strong advection — small ponds surrounded by tall buildings or vegetation receive advected sensible heat ("oasis effect") that none of these five methods captures. Apply a site-specific upward multiplier or use a Bowen-ratio energy budget.
- Spray ponds and aerated surfaces — the ×1.20 "surface features" modifier is a heuristic. For high-rate spray cooling, use a manufacturer-specific spray-cooling model (Berman 1961, Porter et al. 1977).
- Snow / ice albedo override — the calculator switches to albedo 0.70 below 0 °C T_a. Partial ice cover (mixed open water + ice) is not interpolated; the model returns either the open-water or the ice-bound estimate, not a weighted average.
For each of these, the engineer's responsibility in a regulatory filing is to disclose the assumption, cite this methodology page, and bracket the result with the calculator's uncertainty band (Gaussian propagation; ±10 to ±25% typical for annual evaporation).
References
Primary method sources
- Penman, H.L. (1948). Natural Evaporation from Open Water, Bare Soil and Grass. Proceedings of the Royal Society A 193(1032), 120–145. doi:10.1098/rspa.1948.0037.
- Monteith, J.L. (1965). Evaporation and Environment. Symposia of the Society for Experimental Biology 19, 205–234.
- Priestley, C.H.B. & Taylor, R.J. (1972). On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters. Monthly Weather Review 100(2), 81–92. doi:10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2.
- Hargreaves, G.H. & Samani, Z.A. (1985). Reference Crop Evapotranspiration from Temperature. Applied Engineering in Agriculture 1(2), 96–99. doi:10.13031/2013.26773.
- Harbeck, G.E. Jr. (1962). A Practical Field Technique for Measuring Reservoir Evaporation Utilizing Mass-Transfer Theory. USGS Professional Paper 272-E. pubs.usgs.gov/pp/0272e.
- Smith, C.C., Lof, G.O.G. & Jones, R.W. (1993). Rates of Evaporation from Swimming Pools in Active Use. ASHRAE Transactions 99(2).
Standards and synthesis
- Allen, R.G., Pereira, L.S., Raes, D. & Smith, M. (1998). Crop Evapotranspiration — Guidelines for Computing Crop Water Requirements. FAO Irrigation & Drainage Paper 56. fao.org/3/x0490e.
- ASHRAE (current edition). Handbook — HVAC Applications, Chapter 5 (Service Water Heating).
- Brutsaert, W. (1982). Evaporation into the Atmosphere. Reidel / Springer. Classical text on physical evaporation theory.
- Brutsaert, W. (2005). Hydrology — An Introduction. Cambridge University Press.
Validation and calibration data
- Anderson, E.R. (1954). Energy-Budget Studies, Water Loss Investigations, Lake Hefner Studies. USGS Professional Paper 269.
- Edinger, J.E., Brady, D.K. & Geyer, J.C. (1974). Heat Exchange and Transport in the Environment. EPRI Report 14.
- Stewart, R.B. & Rouse, W.R. (1977). Substantiation of the Priestley and Taylor Parameter α = 1.26 for Potential Evaporation in High Latitudes. Journal of Applied Meteorology 16(6).
- Eichinger, W.E., Parlange, M.B. & Stricker, H. (1996). On the Concept of Equilibrium Evaporation and the Value of the Priestley-Taylor Coefficient. Water Resources Research 32(1).
- Lenters, J.D., Kratz, T.K. & Bowser, C.J. (2005). Effects of Climate Variability on Lake Evaporation: Results from a Long-Term Energy Budget Study of Sparkling Lake. Journal of Hydrology 308.
- Webb, E.K. (1966). A Pan-Lake Evaporation Relationship. Journal of Hydrology 4, 1–11.
- Hounam, C.E. (1973). Comparison Between Pan and Lake Evaporation. WMO Tech. Note 126.
Climate and weather inputs
- Open-Meteo (current). ERA5 reanalysis daily and monthly climate normals. open-meteo.com.
- OpenWeatherMap (current). Live conditions API. openweathermap.org.
- Hersbach, H. et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society 146(730).
Cover effectiveness — used in the per-product comparison
- Yao, X. et al. (2021). Suppression of evaporation by continuous solid floating covers. Journal of Hydrology 599.
- Craig, I., Green, A., Scobie, M. & Schmidt, E. (2005). Controlling Evaporation Loss from Water Storages. NCEA Publication 1000580/1. University of Southern Queensland.
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