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176 results for “evaporation”
Intra- and inter-annual dynamics of evaporation over western Lake Erie
<p><strong>This dataset if for a manuscript: Intra- and inter-annual dynamics of evaporation over western Lake Erie, by </strong>CHANGLIANG SHAO, JIQUAN CHEN, CAROL A. STEPIEN, HOUSEN CHU, ZUTAO OUYANG. The dataset including six sheets, from figure2 to figure 7 in the manuscript. Information shows as following:</p> <p>Fig. 2. Monthly mean (a) air temperature (<em>T</em><sub>a</sub>), (b) wind speed (<em>U</em>), (c) vapor pressure deficit (<em>VPD</em>), (d) photosynthetically active radiation (<em>PAR</em>), and total and cumulative (e) rainfall of ~15 m above the water surface at the CB and LI sites over Lake Erie from September 2011 to May 2016. Long-term (1893–2015) average (gray lines) and its 90% quantile intervals (gray shaded areas) are presented in (a).</p> <p>Fig. 3. Monthly average diurnal course of evaporation at the CB and LI sites in western Lake Erie. Data covered all of the measurement period.</p> <p>Fig. 4. Seasonal changes of net radiation (<em>R</em><sub>n</sub>) and latent heat flux (LE) at the two Lake Erie sites from 2011 through 2016. The monthly LE variations also are shown. The sine function was used to fit the dynamic seasonal variations (see equation 6). The sinusoidal period was set to 12. </p> <p> Fig. 5. Linear relationships between the monthly lake evaporation (<em>E</em>) and the same month net radiation (<em>R</em><sub>n</sub>) (a and b), and 1-month early <em>R</em><sub>n</sub> (c and d) at the two sites. The lines represent the linear fitted tendency.</p> <p>Fig. 6. Linear relationship between modeled evaporation (<em>E</em>, Eq. (4)) and the measured values during the entire measurement period, on a monthly basis. The line represents the linear fitted tendency.</p> <p>Fig. 7. Relationships between latent heat flux (<em>E</em>) and (a, b) the product of <em>U</em> (wind speed) and vapor pressure deficit (<em>VPD</em>), (c, d) <em>VPD</em>, (e, f) air temperature, and (g, h) wind speed at the two sites, on a monthly basis. A linear fit with 95% confidence intervals, the correlation between the variables, and the linear model <em>P</em> value are shown in all plots.</p>
The experimental dataset for 'Gravity fingering control on evaporation and deep drainage in a 3D porous medium
<p>Experimentally study on the impact of gravity fingering on deep drainage coupled with surface evaporation in a 3D porous medium. A cylindrical vessel was packed with dry glass beads to mimic soil and we varied the volume of rainfall events and the interval between rainfall events to replicate climate conditions. We record the mass of water in the system throughout the experiments and determine the partition between evaporation and deep drainage before and after the onset of fingering. The data set includes observations of the onset time of gravity fingers, the size of the fingers, the volume of water injected over time and the accumulation rate within the system. </p>
Ontogeny, phylogeny, and mechanisms of adaptive changes in evaporative water loss in geckos
<p>Body-size dependence of metabolic rate, body surface and scale morphology complicate disentangling the contribution of these characteristics to adaptive changes in total evaporative water loss (TEWL) of reptiles. To separate adaptive changes from size-related dependence, we compared intra- and interspecific scaling of several candidate traits in eyelid geckos (Eublepharidae), a group exhibiting large variation in body size and TEWL. The intraspecific allometry of TEWL of an eublepharid species fits the geometric surface-mass relationship. However, evolutionary shifts to both higher and lower evaporation were strongly correlated with habitat aridity and cannot be explained by shifts in body size alone. The intraspecific allometry of standard metabolic rate is nearly the same as the interspecific allometry. Unlike for mammals and birds, this pattern rules out respiratory water loss as a driver of the adaptive changes in TEWL among eublepharids. Scale morphology was independent of TEWL variation as well, but the correlation between cutaneous water loss and TEWL suggests a crucial role of skin permeability in adaptation to habitat aridity. Our analyses demonstrate how powerful a comparison of intra- and interspecific allometries can be for detecting body size-dependent mechanisms of adaptive changes in ecophysiological traits correlated with body size.</p>
An emerging fungal pathogen is associated with increased resting metabolic rate and total evaporative water loss rate in a winter‐active snake
<p>1. Energy allocation tradeoffs associated with mounting metabolically costly immune responses may serve as sublethal mechanisms by which pathogens reduce host fitness. The emergence of cutaneous fungal pathogens, which invade the skin of their host and have the potential to disturb energy and water balance, highlight the importance of host physiology in determining individual- and population-level effects of disease.</p> <p>2. Snake fungal disease (SFD, ophidiomycosis), caused by the fungal pathogen <i>Ophidiomyces ophiodiicola</i> (<i>Oo</i>), is an emerging disease afflicting wild snake populations throughout eastern North America. Emaciation and dehydration are phenotypic correlates of SFD, but it is unknown if such declines in host condition occur via effects of <i>Oo</i> infection on host physiology (i.e., increased rates of metabolism and evaporative water loss, respectively).</p> <p>3. We used flow-through respirometry to assess the energetic and hydric consequences of natural <i>Oo</i> infection in winter-active pygmy rattlesnakes (<i>Sistrurus miliarius</i>). We measured resting metabolic rate (CO<sub>2</sub> production rate) and total evaporative water loss rate of winter-acclimatized <i>S. miliarius</i> as a function of SFD status and acute temperature (17, 25, and 32°C). We also used regression models characterizing individual variation in the thermal-sensitivity of resting metabolic rate to predict the theoretical effects of behavioral fever on daily resting CO<sub>2</sub> production by free-ranging <i>S. miliarius</i> with SFD in winter.</p> <p>4. Natural infection by <i>Oo</i> was associated with significant increases in resting metabolic rate (30–45%) and total evaporative water loss rate (30–40%) across all measurement temperatures. Under simulated scenarios of behavioral fever, <i>Oo</i> infection was predicted to increase daily resting CO<sub>2</sub> production rate by 58–102%.</p> <p>5. Our results are consistent with the hypothesis that the immune response to <i>Oo</i> infection is energetically costly and may contribute to declining host condition. Our modeling efforts combining the cumulative effects of increased immune activity and increased body temperature on metabolism represent a novel approach to quantifying the total daily energetic cost of infection in ectothermic vertebrates undergoing behavioral fever.</p>
Low-Temperature Vacuum Evaporation of Ammonia from Pig Slurry at Laboratory and Pilot-Plant Scale (Data sets)
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Data for paper "Mathematical modelling of impurity deposition during evaporation of dirty liquid in a porous material"
<p>The attached files contain the data for the paper "Mathematical modelling of impurity deposition during evaporation of dirty liquid in a porous material" by Ellen Luckins, Chris Breward, Ian Griffiths and Colin Please, accepted for publication in JFM (April 2024). See the READ ME file for a description of the data.</p>
Downward Magnetic Enrichment Associated with Deep Redox Cycles under Strong Evaporation
<p>Data supporting this research are available for people who engage in scientific research. Note that the data can not be used for any commercial activities.</p>
planet wind evaporation data
<p>Data associated with publication submitted by MacLeod & Oklopcic to ApJ, studying stellar wind impingement on hydrodynamical outflows from close in planets using hydrodynamical simulations. </p> <p>Accompanying software is located here: https://zenodo.org/record/5104829#.Yak2-55KhBw</p>
Responses of Surface Evaporative Fluxes in Montane Cloud Forests to the Climate Change Scenario
<p>CL_surfobs_raw.mat and LHC_nodew_new_raw.mat are the analyzed CLM simulation output with atmospheric observations in Chi-Lan and Lien-Hua-Chih as input forcings.</p> <p>CLatm_LHC_prec*.mat are the analyzed CLM simulation output in sensitivity tests for the rainfall pattern.</p> <p>CL_*_transform_raw.mat are the analyzed CLM simulation output in CTL simulation and climate change sensitivity tests. </p> <p>Fig_*.m are matlab code files to reproduce figures in the article.</p> <p>Fig_11_ttest.m and Fig_11_LE_p_value.mat are the t-test for the decrease of latent heat flux in the diurnal cycle under climate change scenario and the resulting p-value.</p> <p>Fig_quantile.m and Fig_4_6_7_8_9_10_11_quantile.mat are to obtain first and third quantile of the changes of canopy water and surface heat fluxes in the diurnal cycle under climate change scenarios.</p>
Mathematica code for "Delicate windows into evaporating black holes"
<p>We provide the Mathematica code to reproduce the numerical and analytical results presented in the paper "Delicate windows into evaporating black holes".</p>
Data for "Enhanced "wind-evaporation effect" drove the "deep-tropical contraction" in the early Eocene"
<p>This repository includes the data for the paper "Enhanced “wind-evaporation effect” drove the “deep-tropical contraction” in the early Eocene" (Ren et al., 2024). It contains the coupled model data we conducted.</p>
MesoWat_Source simulation: evaporation sources of the target E-Alps 14-16 Novembre 2002
<pre>The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode November 14-16, 2002 in E-Alps (target region/hourly rainfall). The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included. 1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed. 2) File "nov2002_Ealps_v3_pbl3.ctl: the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.</pre>
MesoWat_Source simulation: evaporation sources of the target W-Alps 14-16 Novembre 2002
<p>The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode November 14-16, 2002 in W-Alps (target region/hourly rainfall). The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included.</p> <p>1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed.</p> <p>2) File "nov2002_Walps_v3_pbl3.ctl" is the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.</p>
MesoWat_Source simulation: evaporation sources of the target (southern France and northern Italy) 10-14 October 2000
<p>The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode October 10-14, 2002 in southern France and northern Italy, inside the latitude-longitude box: 41-48.6N and 1.875-15E. The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included.</p> <p>1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed.</p> <p>2) File "oct2000_Turd0_v3_pbl3.ctl" is the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and it has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.</p>
MesoWat_Source simulation: evaporation sources of the target Morocco 14-15Novembre 2002
<p>The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode November 14-15, 2002 in Morocco (target region/hourly rainfall). The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included.</p> <p>1) * iee files: the data is in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed.</p> <p>2) File "nov2002_Morocco_v3_pbl3.ctl: the Grads control file (data descriptor file). It contains in ASCII format the mapping of the binary data (*iee). It can be edited with Wordpad, Kwrite ... and has to be changed to point to the directory that contains the binary files (**iee) .This file also contains a description of all variables and units.</p>
MesoWat_Source simulation: evaporation sources of the targets W-Alps, E-Alps Novembre 2011
<p>The dataset contains the sources of surface and virga evaporation of the hourly rainfall during the heavy rainfall episode November 03-09, 2011 in W-Alps, and E-Alps. The data corresponds to the output of the MesoWat_Source modeling system developed by the authors. The 3D position/concentration of the target vapor (evaporated from the sources) during its approach to the target region is also included.</p> <p>1) * iee files: the data are in binary format (**iee files) and can be represented using the Grid Analysis and Visualization System (GrADS). GrADS is copyrighted under the terms of the GNU Public License and is freely distributed.</p> <p>2) File "nov2011_Ealps_v3_pbl3.ctl" and "nov2011_Walps_v3_pbl3.ctl:" the Grads control files (data descriptor files). They contain in ASCII format the mapping of the binary data (*iee). They can be edited with Wordpad, Kwrite ... and they have to be changed to point to the directory that contains the binary files (**iee) .This files also contain a description of all variables and units.</p>
Helium Evaporation
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Evaporation by Concentration
<p>Article Evaporation by Concentration</p> <ul> <li>The concentration tests have been conducted with wet-laid fabric under conditions of Temperature = 20ºC, Relative Humidity = 50%, and Air Velocity = 0.22 m/s.<br><br> <ul> <li>The naming convention for the Excels is “WL-T-Ci” referring to the work cycle (e.g., WL-T-C1, WL-T-C2… Cycle 1, Cycle 2…)</li> <li>The columns indicate 1st Test Time and 2nd Mass Loss.</li> </ul> </li> </ul>
Evaporation tests with all fabrics studied
<p>Evaporation tests with all fabrics.</p> <ul> <li>The naming convention is: “Fabric-Salt Used” (e.g., Ara-NaCl refers to Aramid fabric with NaCl salt) <ul> <li>The column structure is: 1st Time in minutes, 2nd Mass loss first cycle, 3rd Mass loss second cycle, 4th Mass loss fifth cycle, 5th Mass loss tenth cycle, and 6th Mass loss fifteenth cycle, measured in grams.</li> </ul> </li> </ul> <p> </p> <ul> <li>Vapor pressures of saturated salts: Naming convention for the Excels is “Salt” (e.g., NaCl, NaNO3…) <ul> <li>The column structure is: 1st Air Temperature (ºC), 2nd Liquid Temperature (ºC), 3rd Relative Humidity (%)</li> </ul> </li> </ul>
Formation of tropical anvil clouds by slow evaporation (manuscript data)
<p>Cloud-resolving model output used in the manuscript "Formation of tropical anvil clouds by slow evaporation" by Seeley et al. </p>
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