Dew frequency across the US from a network of in situ radiometers

• Main Authors: F. Ritter, M. Berkelhammer, D. Beysens
• Format: Article
• Language: English
• Published: Copernicus Publications 2019-03-01
• Series: Hydrology and Earth System Sciences
• Online Access: https://www.hydrol-earth-syst-sci.net/23/1179/2019/hess-23-1179-2019.pdf

<p>Dew formation is a ubiquitous process, but its importance to energy budgets or ecosystem health is difficult to constrain. This uncertainty arises largely because of a lack of continuous quantitative measurements on dew across ecosystems with varying climate states and surface characteristics. This study analyzes dew frequency from the National Ecological Observatory Network (NEON), which includes 11 grasslands and 19 forest sites from 2015 to 2017. Dew formation is determined at 30&thinsp;min intervals using in situ radiometric surface temperatures from multiple heights within the canopy along with meteorological measurements. Dew frequency in the grasslands ranges from <span class="inline-formula">15 %</span> to <span class="inline-formula">95 %</span> of the nights with a strong linear dependency on the nighttime relative humidity (RH), while dew frequency in the forests is less frequent and more homogeneous (<span class="inline-formula">25±14 %</span>, 1 standard deviation – SD). Dew mostly forms at the top of the canopy for the grasslands due to more effective radiative cooling and within the canopy for the forests because of higher within the canopy RH. The high temporal resolution of our data showed that dew duration reaches maximum values (<span class="inline-formula">∼6</span>–15&thinsp;h) for <span class="inline-formula">RH∼96 %</span> and for a wind speed of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>∼</mo><mn mathvariant="normal">0.5</mn><mspace linebreak="nobreak" width="0.125em"/><mrow class="unit"><mi mathvariant="normal">m</mi><mspace width="0.125em" linebreak="nobreak"/><msup><mi mathvariant="normal">s</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="55pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="1b9b6a377063ddba4087c70e191ed197"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-23-1179-2019-ie00001.svg" width="55pt" height="13pt" src="hess-23-1179-2019-ie00001.png"/></svg:svg></span></span>, independent of the ecosystem type. While dew duration can be inferred from the observations, dew yield needs to be estimated based on the Monin–Obukhov similarity theory. We find yields of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">0.14</mn><mo>±</mo><mn mathvariant="normal">0.12</mn><mspace linebreak="nobreak" width="0.125em"/><mrow class="unit"><mi mathvariant="normal">mm</mi><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">night</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="111pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="ef81e28a51968c1d4e9426a12f0ad288"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-23-1179-2019-ie00002.svg" width="111pt" height="15pt" src="hess-23-1179-2019-ie00002.png"/></svg:svg></span></span> (1 SD from nine grasslands) similar to previous studies, and dew yield and duration are related by a quadratic relationship. The latent heat flux released by dew formation is estimated to be non-negligible (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M8" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>∼</mo><mn mathvariant="normal">10</mn><mspace linebreak="nobreak" width="0.125em"/><mrow class="unit"><mi mathvariant="normal">W</mi><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">m</mi><mrow><mo>-</mo><mn mathvariant="normal">2</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="57pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="7dd07c55bbaba62182acc915d6e43f9a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-23-1179-2019-ie00003.svg" width="57pt" height="13pt" src="hess-23-1179-2019-ie00003.png"/></svg:svg></span></span>), associated with a Bowen ratio of <span class="inline-formula">∼3</span>. The radiometers used here provide canopy-averaged surface temperatures, which may underestimate dew frequency because of localized cold points in the canopy that fall below the dew point. A statistical model is used to test this effect and shows that dew frequency can increase by an additional <span class="inline-formula">∼5 %</span> for both ecosystems by considering a reasonable distribution around the mean canopy temperature. The mean dew duration is almost unaffected by this sensitivity analysis. In situ radiometric surface temperatures provide a continuous, non-invasive and robust tool for studying dew frequency and duration on a fine temporal scale.</p>