A 18-yr long (1993–2011) snow and meteorological dataset from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.) for driving and evaluating snowpack models

Morin, Samuel; Lejeune, Yves; Lesaffre, Bernard; Panel, Jean-Michel; Poncet, Daniel; David, Pierre-Marie; Sudul, Marcel

doi:10.5194/essdd-5-29-2012

Cited by 35 publications

(63 citation statements)

References 10 publications

(14 reference statements)

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“…It is a 50 × 50 m 2 meadow surrounded by forest. Exhaustive information about the site and the available data‐series can be found in Morin et al (). Here, 18 years (from 1 August 1993 to 31 July 2011) of snow and meteorological data are considered.…”

Section: Experimental Datamentioning

confidence: 99%

“…In the Crocus model, hourly measurements of air temperature and specific humidity at 2 m above snow surface, wind speed at 10 m above ground, snowfall and rainfall rates and incoming short‐wave and long‐wave radiation have been used. Refer to Morin et al () for an exhaustive description of the data.…”

Section: Experimental Datamentioning

confidence: 99%

“…The performance of the model in run‐off prediction (at different temporal resolutions) is evaluated using data from a 5 m 2 lysimeter. Water years 1995–2011 are used in this case due to data availability (Morin et al, ).…”

Section: Experimental Datamentioning

confidence: 99%

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Model complexity and data requirements in snow hydrology: seeking a balance in practical applications

Avanzi

Michele

Morin

et al. 2016

Hydrological Processes

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International audienceWe investigate the problem of balancing model complexity and input data requirements in snow hydrology. For this purpose, we analyze the performance of two models of different complexity in estimating variables of interest in snow hydrology applications. These are snow depth, bulk snow density, snow water equivalent and snowmelt run-off. We quantify the differences between data and model prediction using 18 years of measurements from an experimental site in the French Alps (Col de Porte, 1325 m AMSL). The models involved in this comparison are a one-layer temperature-index model (HyS) and a multilayer model (Crocus). Results show that the expected loss in performance in the one-layer temperature-index model with respect to the multilayer model is low when considering snow depth, snow water equivalent and bulk snow density. As for run-off, the comparison returns less clear indications for identification of a balance. In particular, differences between the models' prediction and data with an hourly resolution are higher when considering the Crocus model than the HyS model. However, Crocus is better at reproducing sub-daily cycles in this variable. In terms of daily run-off, the multilayer physically based model seems to be a better choice, while results in terms of cumulative run-off are comparable. The better reproduction of daily and sub-daily variability of run-off suggests that use of the multilayer model may be preferable for this purpose. Variation in performance is discussed as a function of both the calibration solution chosen and the time of year. Copyright © 2016 John Wiley & Sons, Ltd

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Section: Experimental Datamentioning

confidence: 99%

Section: Experimental Datamentioning

confidence: 99%

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Model complexity and data requirements in snow hydrology: seeking a balance in practical applications

Avanzi

Michele

Morin

et al. 2016

Hydrological Processes

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“…It consists of hourly records of the driving data for the land surface model ISBA within SURFEX. Full details regarding the dataset and its availability are given in Morin et al (2012a). The model run was initialized with no snow on the ground on 1 August 1993, and a single run was performed until 31 July 2011.…”

Section: Offline Simulation and Detailed Evaluation Of 18 Snow Seasonmentioning

confidence: 99%

The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2

et al. 2012

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Abstract. Detailed studies of snow cover processes require models that offer a fine description of the snow cover properties. The detailed snowpack model Crocus is such a scheme, and has been run operationally for avalanche forecasting over the French mountains for 20 yr. It is also used for climate or hydrological studies. To extend its potential applications, Crocus has been recently integrated within the framework of the externalized surface module SURFEX. SURFEX computes the exchanges of energy and mass between different types of surface and the atmosphere. It includes in particular the land surface scheme ISBA (Interactions between Soil, Biosphere, and Atmosphere). It allows Crocus to be run either in stand-alone mode, using a time series of forcing meteorological data or in fully coupled mode (explicit or fully implicit numerics) with atmospheric models ranging from meso-scale models to general circulation models. This approach also ensures a full coupling between the snow cover and the soil beneath. Several applications of this new simulation platform are presented. They range from a 1-D standalone simulation (Col de Porte, France) to fully-distributed simulations in complex terrain over a whole mountain range (Massif des Grandes Rousses, France), or in coupled mode such as a surface energy balance and boundary layer simulation over the East Antarctic Ice Sheet (Dome C).

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“…The remaining 74 returns either were conducted in watersheds that did not span the rain-to-snow transition, or the data associated with their research were neither published nor easily available for public use. It is possible that additional datasets exist, but were not discovered using the search terms that we applied (e.g., data from a site Col de Porte, France [Morin et al, 2012]), who describe a dataset, but did not publish it. Although data presented by Morin 15 et al [2012], Wayand et al [2015], and WSL Institute for Snow and Avalanche Research SLF [2015] are useful, our dataset is unique because it includes basin-wide measurements and stream discharge, which permit hydrologic modeling and a mass balance approach.…”

mentioning

confidence: 99%

Hydrometeorological observations from the rain-to-snow transition zone: a dataset from the Johnston Draw catchment, Reynolds Creek Experimental Watershed, Idaho, USA

Enslin

Godsey

Marks

et al. 2016

Preprint

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Abstract. Detailed hydrometeorological data from the rain-to-snow transition zone in mountain regions are limited. As the climate warms, the transition from rain to snow is moving to higher elevations, and these changes are altering the timing of down slope water delivery. To understand how these changes impact hydrological and biological processes in this climatologically sensitive region, detailed observations from the rain-to-snow transition zone are required. We present a complete hydrometeorological dataset for water years 2004 through 2014 for a watershed that spans the rain-to-snow 5 transition zone (DOI:10.15482/USDA.ADC/1258769). The Johnston Draw watershed (1.8 km2), ranging from 1497 -1869 m in elevation, is a sub-watershed of the Reynolds Creek Experimental Watershed (RCEW) in southwestern Idaho.The dataset includes continuous hourly hydrometeorological variables across a 372 m elevation gradient, on north-and south-facing slopes, including air temperature, relative humidity, and snow depth from 11 sites in the watershed. Hourly measurements of shortwave radiation, precipitation, wind speed and direction, and soil moisture and temperature are 10 available at selected stations. The dataset includes hourly stream discharge measured at the watershed outlet. These data provide the scientific community with a unique dataset useful for forcing and validating models and will allow for better representation and understanding of the complex processes that occur in the rain-to-snow transition zone.

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A 18-yr long (1993–2011) snow and meteorological dataset from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.) for driving and evaluating snowpack models

Cited by 35 publications

References 10 publications

Model complexity and data requirements in snow hydrology: seeking a balance in practical applications

Model complexity and data requirements in snow hydrology: seeking a balance in practical applications

The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2

Hydrometeorological observations from the rain-to-snow transition zone: a dataset from the Johnston Draw catchment, Reynolds Creek Experimental Watershed, Idaho, USA

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