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9 results for “vallon de nant”
Isotopic analysis of extracted water from a larch (Larix decidua) stand in a high mountain watershed (Vallon de Nant - Switzerland)
<p>A total of 185 samples of soil and trees were taken from a stand of larch (Larix decidua) spanning from 1500 to 1600 m.a.s.l. in the Vallon de Nant in the Swiss canton of Vaud. Twenty individual trees and soil were sampled along two transects perpendicular to the main river channel of the Avançon de Nant at approximately midday on seven days in the foliage season between July 2017 and June 2018.</p><p>The data consists of two data (csv) and one document (pdf) files. The sample data file includes the date and estimated time of sampling, the type of sample (vegetation or soil), the transect and tree ID for look-up in the tree metadata file, the soil depth in centimeters, and the determined mean and standard deviation of deuterium, oxygen-18, and oxygen-17. The tree metadata file includes the transect (north or south), the tree ID number, the latitude, longitude, elevation (meters above sea level), and tree height and diameter at breast height in centimeters. Finally, a document describing the methods in more detail is included. </p>
A 2-minute rainfall (12 locations) and discharge time series at the Vallon de Nant catchment, Switzerland, for 2018 summer seasons
<p>The data set contains rainfall time series within the experimental 13.4 km² Vallon de Nant catchment, Switzerland (Michelon et al., 2020), from June 30th to September 23rd 2018 at 12 locations. A network of <em>Pluvimate</em> drop-counting raingauges (www.driptych.com) measured continuously the rainfall intensity at a 2-minute resolution. Operation and characteristics of the raingauges are detailed in Benoit et al. (2018) and Michelon et al. (2020), and the rating curve is described by Ceperley et al. (2018).</p> <p>Description of the files:</p> <ul> <li><em><strong>data.csv</strong></em> contain the rainfall intensities for the observation period, along with the main river discharge measured at the <a href="https://map.geo.admin.ch/?lang=fr&topic=ech&bgLayer=ch.swisstopo.pixelkarte-farbe&layers=ch.swisstopo.zeitreihen,ch.bfs.gebaeude_wohnungs_register,ch.bav.haltestellen-oev,ch.swisstopo.swisstlm3d-wanderwege,KML%7C%7Chttps:%2F%2Fpublic.geo.admin.ch%2FaLKDanGXRPGMpB_D51f2Tg&layers_visibility=false,false,false,false,true&layers_timestamp=18641231,,,,&E=2574619.27&N=1122462.26&zoom=8">outlet</a> over the same 2-minutes time step as the rainfall intensity. We also provide areal rainfall intensity aggregated over the whole catchment:<br> Columns: <ul> <li>year [-]</li> <li>month [-]</li> <li>day [-]</li> <li>hour [-]</li> <li>minute [-]</li> <li>specific discharge 95% inf. [mm/day]: inferior values of the specific discharge (with 95% of confidence interval) over 2 minutes</li> <li>specific discharge 95% sup. [mm/day]: superior values of the specific discharge (with 95% of confidence interval) over 2 minutes</li> <li>specific discharge mean [mm/day]: mean value of the specific discharge over 2 minutes</li> <li>specific discharge median [mm/day]: median value of the specific discharge over 2 minutes</li> <li>P St. #X [mm]: rainfall amount measured at the station X over 2 minutes</li> <li>P stochastic mean [mm/h]: rainfall amount interpolated over the whole catchment over 2 minutes</li> <li>P stochastic std [mm/h]: standard deviation of the stochastic rainfall interpolation, over 2 minutes</li> </ul> </li> <li><strong><em>stations.csv</em></strong> describes the raingauge locations.<br> Columns: <ul> <li>Station ID [-]</li> <li>lon [WGS84]: decimal longitude of the station into WGS84</li> <li>lat [WGS84]: decimal latitude of the station into WGS84</li> <li>E [CH1903]: east coordinate into Swiss Coordinate System</li> <li>N [CH1903]: north coordinate into Swiss Coordinate System</li> <li>elevation [m asl]: altitude of the station in meters above the sea level</li> <li>data in 2017 [-]: flag if the station was working over the 2017 observation period</li> <li>data in 2018 [-]: flag if the station was working over the 2018 observation period</li> </ul> </li> <li><em><strong>rainfall_viewer.m</strong></em> is a <em>MatLab</em> script (created with <em>MatLab 2017b</em>) which allows the joint visualization of the rainfall intensities and river discharge. It produces a composite figure with the following plots: <ul> <li>On top the general hydrograph over the whole observation period [mm/day]. The red dashed lines mark out period that the other plots are focus on. The shaded orange areas correspond to when the river stage data was not available.</li> <li>Below, the zoomed hydrogram show a detailed view of the river discharge (and uncertainty). In case a river reaction is associated, the discharge event is marked out by red dashed lines. Between these vertical lines is drawn a line joining the initial and final baseflow, separating the discharge amount fed by the baseflow (under the line) to the fast runoff (over the line). The red square shows the center of mass of the fast runoff part.</li> <li>In the middle a zoomed magnification of the hydrograph that shows a detailed view of the discharge in the river [mm/day]. When a river response is associated, the discharge event is marked with dashed red lines. Between these vertical lines a line joining the initial and final baseflow is drawn, separating the discharge amount fed by the baseflow (under the line) to the fast runoff (over the line). The red square shows the center of mass of the fast runoff.</li> <li>At the bottom are shown the rainfall recorded by each of the 12 rain gauges (the y-axis scale between 2 stations is about 20 mm/h). The rainfall event is marked out by green dashed lines.</li> <li>Above is shown the rainfall amount (and uncertainty) interpolated over the catchment using the stochastic method. The rainfall event is marked out by green dashed lines.</li> <li>On the left, a map with the 12 raingauge locations show the total amount of rainfall recorded by each station during the event (a red cross shows missing data).<br> <br> It is possible to zoom in the plots by clicking with the left and right mouse buttons to define respectively the starting and ending of the visualization window. The middle button defines a third time reference used to identify rainfall intensity peaks or discharge peaks. Statistics concerning the visualization period are displayed on the MatLab console.<br> Pressing [enter] will save the figure into a PNG file named with the starting and ending dates of the visualization window.</li> </ul> </li> <li><strong><em>Q_stats.m </em></strong>is a MatLab function used by the main code rainfall_viewer.m</li> <li><strong><em>print_figure.m </em></strong>is a MatLab function used by the main code rainfall_viewer.m</li> <li><strong>data.mat</strong> is a MatLab data file with all data required by the main code rainfall_viewer.m</li> </ul>
Salt gauging and stage-discharge curve, Avançon de Nant, outlet Vallon de Nant catchment
<p>This data set contains the salt gaugings completed over the period 2016 - 2017 to establish a stage-discharge curve at the <a href="https://s.geo.admin.ch/7834d541d2">outlet of the Vallon de Nant catchment</a>. The data set contains also the latest version of the estimated stage-discharge curve, compared to the theoretical curve estimated from the geometric properties of the weir.</p> <p>The salt gaugings have been obtained independently by two different research groups from</p> <ul> <li>Institute of Earth Surface Dynamics (<a href="https://www.unil.ch/idyst/en/home/menuinst/research-topics/water-and-elemental-cycles/catchment-hydrology.html">IDYST</a>), Faculty of Geosciences and Environement (FGSE), University of Lausanne (UNIL),</li> <li>Stream Biofilm and Ecosystem Research Laboratory (<a href="https://sber.epfl.ch/">SBER</a>), School of Architecture, Environmental and Civil Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland,</li> </ul> <p>The stream gauging station itself was constructed thanks to a joint funding by the Swiss Federal Institute for Forest, Snow and Landscape (WSL), University of Lausanne (chair of Prof. S. Lane) and ETH Zürich (chair of Prof. J. Kirchner).</p> <p>The gauging station is maintained by the <a href="http://www.wsl.ch/en/about-wsl/organization/research-units/mountain-hydrology.html">Mountain Hydrology and Mass Movements research uni</a>t of the Swiss Federal Institute for Forest, Snow and Landscape (WSL) and by the<a href="https://www.unil.ch/idyst/en/home.html"> Institute of Earth Surface Dynamics</a> of University of Lausanne.</p> <p> </p>
Historical and modern view of Vallon de Nant, Switzerland (1912 and 2021)
<p>Comparison of a historical view of the Vallon de Nant and a modern view. The postcard has been published here by Robert Di Salvo <a href="https://notrehistoire.ch/entries/lyYnl9ov8E9">https://notrehistoire.ch/entries/lyYnl9ov8E9</a> and is republished here with his authorization. The recent view has been taken by Anthony Michelon on 12 November 2021 at 13h at the position 574722E/121303N (CH1903) or 46.242682N/7.110908E (WGS84) at elevation 1785 masl. The comparison was first published in the PhD thesis of Anthony Michelon (2022, <a href="https://serval.unil.ch/en/notice/serval:BIB_0C61AF744730">link</a>)</p>
2707 water samples from Vallon de Nant analyzed for stable water isotopes (dD, d17O, d18O) and electric conductivity
<p>Database gathering 2707 water samples from the Vallon de Nant (Westerm Swiss Alps) analyzed for stable isotopes of water (dD, d17O, d18O, d-excess, LC-excess, 17O-excess) and electric conductivity.</p> <p>The "VDN_database.csv" file includes the following columns:<br> - time [dd/mm/yyyy HH:MM, UTC]<br> - latitude [decimal degrees, WGS84]<br> - longitude [decimal degrees, WGS84]<br> - elevation [masl]<br> - point: point name<br> - dD [‰]<br> - d17O [‰]<br> - d18O [‰]<br> - d-excess [‰]<br> - LC-excess [‰]<br> - 17O-excess [per meg]<br> - conductivity [µS/cm]</p> <p>Water is sampled from:<br> - 2 points of main stream (Avançon de Nant) at HyS1 and HyS2<br> - 5 different springs at GRAS, AUBG, ROCK, BRDG and ICEC<br> - 3 piezometers at PZ1, PZ2 and PZ3<br> - 2 weather stations for rain at Auberge and Chalet<br> - various locations (GPS points) for the Snowpack<br> - various locations (GPS points) for the Glacier</p> <p>The points with regular sampling are shown on the map "VDN_sampling_points.png".</p>
Soil study results at Vallon de Nant : Soil moisture and soil temperature time series and granulometry results
<p>Dataset:</p><ul><li><a href="https://zenodo.org/api/records/10136586/draft/files/Particule_size_distribution.csv/content">Particule_size_distribution.csv : </a><br>Particle size distribution obtained for 34 samples in Vallon de Nant. Please refer to the pdf report for technical information.<br>Columns description : <br>point,depth= identification of the point. Please refer to the pdf notice<br>size (in micrometers) : Particle size ranging from 0.003mum to 2 mm<br>value (in %) : Fraction of the material volume corresponding to the size<br>USDAclass : Soil class according to the USDA classification for each sample<br> </li><li><a href="https://zenodo.org/api/records/10136586/draft/files/measure_T_HU_5TM_3stations.csv/content">measure_T_HU_5TM_3stations.csv :</a><br>Hourly soil moisture and soil temperature measurements at 3 points and different depths in the catchment. Please refer to the pdf report for technical information.<br>Columns description : <br>Time,Hour : recording time stamp<br>portX_HU : Soil moisture recorded at the X slot. Please refer to the notice for sensor depth.<br>portX_T : Soil temperature recorded at the X slot.<br>Station : Name of the measurement point (Auberge, Chalet or LaChaux). Auberge and LaChaux are at the exact same location than the corresponding weather stations. Chalet point is on the left bank on the river, near little bridge. Please refer to the pdf notice.</li></ul>
Average daily air temperature, precipitation and relative sunshine duration for Vallon de Nant catchment, extracted from gridded MeteoSwiss data (1961-2020)
<p>This excel file contains time series of daily temperature, precipitation and relative sunshine duration obtained as the spatial average of gridded data sets. The underlying original gridded data sets produced by MeteoSwiss are known as RhiresD, TabsD and SrelD. All meta data are included in the excel file.</p> <p>The data can e.g. be used for hydrological modelling. Comparison to local station data is not included.</p> <p><strong>This data set as well as the original data set should be cited</strong>.</p>
Weather dataset from Vallon de Nant, Switzerland (from 16 August 2016 to 14 October 2018)
<p>Weather data collected in the Vallon de Nant, Switzerland from 16 August 2016 to 14 October 2018<br> Data collected by the reasearch team of Bettina Schaefli at the Institute of Earth Surface Dynamics (IDYST), Faculty of Geosciences and Environment, University of Lausanne, Lausanne, 1015, Switzerland</p> <p>for further information, please contact:<br> bettina.schaefli@giub.unibe.ch</p> <p>Grant: SNSF PP00P2\_157611</p>
ibutton temperature measurements - Vallon de Nant
<pre>A field campaign was set up from July 2021 to September 2023 in order to have in-situ temperature measurements, which represent an additional data source for estimating the performance of the temperature products and better describe the local site effects in the valley. A series of 28 mini-temperature sensors (ibutton loggers) distributed in the basin is installed, in particular at the bottom of the valley. 28 loggers (12 masts + 18 single loggers) were installed in August 2021. The data were recorded in August 2022 and the loggers were finally uninstalled in September 2023. The sensors are installed on a mast, under a plastic shelter at 2 m from the ground. The measurement time step is 2 hours. </pre>
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