Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling

In this study, an effective microbial consortium for the biodegradation of phenol was grown under different operational conditions, and the effects of phosphate concentration (1.4 g L-1, 2.8 g L-1, 4.2 g L-1), temperature (25 degrees C, 30 degrees C, 35 degrees C), agitation (150 rpm, 200 rpm, 250 rpm) and pH (6, 7, 8) on phenol degradation were investigated, whereupon an artificial neural network (ANN) model was developed in order to predict degradation. The learning, recall and generalization characteristics of neural networks were studied using data from the phenol degradation system. The efficiency of the model generated by the ANN was then tested and compared with the experimental results obtained. In both cases, the results corroborate the idea that aeration and temperature are crucial to increasing the efficiency of biodegradation.

Die Rolle der Globalstrahlung im Klimasystem Südwestdeutschlands

Die Untersuchungen umfassen die Periode 1981 – 2000 und basieren hauptsächlich auf Daten des Deutschen Wetterdienstes (DWD). Relativwerte der Globalstrahlung beziehen sich auf die Rayleigh-Atmosphäre. Das Regressionsmodell nach Angström ermöglicht die Erweiterung des Meßnetzes. In linearer und nichtlinearer Regression und Korrelation ist die Globalstrahlung entweder abhängige (Sonnenscheindauer, Bewölkung) oder unabhängige Variable (Lufttemperatur, Bodentemperatur). Ihre Intensität in Abhängigkeit von Großwetterlagen, Großwettertypen und Luftmassen wird diskutiert. Diesbezüglich werden mit der Linearen Diskriminanzanalyse ähnliche Großwetterlagen und Stationen in signifikant unterschiedenen Gruppen zusammengefaßt, getrennt nach Sommer- und Winterhalbjahr. Abhängig von der Zeit betrachtet, enthalten Globalstrahlung, direkte und diffuse Sonnenstrahlung, Lufttemperatur, Bewölkung und Niederschlag signifikante zyklische Variationen, die gegebenenfalls klimatologisch relevant sind. Weiteren Aufschluß ergeben deshalb die Zeitreihenanalysen. Autokorrelation-Spektralanalysen (ASA) der genannten Variablen werden in integrierten Spektren dargestellt. Hinweise auf die zeitliche Konstanz signifikanter Varianzmaxima enthalten die Spektren der dynamischen (gleitenden) ASA.

Methoden zur Analyse, Interpretation und Modellierung des elektrischen Widerstandes von archäologischen Steinstrukturen

In der Archäologie werden elektrische Widerstandsmessungen routinemäßig zur Prospektion von Fundstellen eingesetzt. Die Methode ist kostengünstig, leicht anwendbar und liefert in den meisten Fällen zuverlässige und leicht zu interpretierende Ergebnisse. Dennoch kann die Methode die archäologischen Strukturen in manchen Fällen nur teilweise oder gar nicht abbilden, wenn die bodenphysikalischen und bodenchemischen Eigenschaften des Bodens und der archäologischen Strukturen dies nicht zulassen. Der spezifische elektrische Widerstand wird durch Parameter wie Wassergehalt, Bodenstruktur, Bodenskelett, Bodentextur, Salinität und Bodentemperatur beeinflusst. Manche dieser Parameter, wie z.B. der Wassergehalt und die Bodentemperatur, unterliegen einer saisonalen Veränderung. Die vorliegende Arbeit untersucht den spezifischen elektrischen Widerstand von archäologischen Steinstrukturen und evaluiert die Möglichkeit, auf Grundlage von Geländemessungen und Laboranalysen archäologische Strukturen und Böden als numerische Modelle darzustellen. Dazu wurde eine Kombination von verschiedenen bodenkundlichen, geoarchäologischen und geophysikalischen Methoden verwendet. Um archäologische Strukturen und Bodenprofile als numerische Widerstandsmodelle darstellen zu können, werden Informationen zur Geometrie der Strukturen und ihren elektrischen Widerstandswerten benötigt. Dabei ist die Qualität der Hintergrundinformationen entscheidend für die Genauigkeit des Widerstandsmodells. Die Geometrie der Widerstandsmodelle basiert auf den Ergebnissen von Rammkernsondierungen und archäologische Ausgrabungen. Die an der Ausbildung des elektrischen Widerstands beteiligten Parameter wurden durch die Analyse von Bodenproben gemessen und ermöglichen durch Pedotransfer-Funktion, wie die Rhoades-Formel, die Abschätzung des spezifischen elektrischen Widerstandes des Feinbodens. Um den Einfluss des Bodenskeletts auf den spezifischen elektrischen Widerstand von Bodenprofilen und archäologischen Strukturen zu berechnen, kamen die Perkolationstheorie und die Effective Medium Theory zum Einsatz. Die Genauigkeit und eventuelle Limitierungen der Methoden wurden im Labor durch experimentelle Widerstandsmessungen an ungestörten Bodenproben und synthetischen Materialien überprüft. Die saisonale Veränderung des Wassergehalts im Boden wurde durch numerische Modelle mit der Software HYDRUS simuliert. Die hydraulischen Modelle wurden auf Grundlage der ermittelten bodenkundlichen und archäologischen Stratigraphie erstellt und verwenden die Daten von lokalen Wetterstationen als Eingangsparameter. Durch die Kombination der HYDRUS-Ergebnisse mit den Pedotransfer-Funktionen konnte der Einfluss dieser saisonalen Veränderung auf die Prospektionsergebnisse von elektrischen Widerstandsmethoden berechnet werden. Die Ergebnisse der Modellierungsprozesse wurden mit den Geländemessungen verglichen. Die beste Übereinstimmung zwischen Modellergebnissen und den Prospektionsergebnissen konnte für die Fallstudie bei Katzenbach festgestellt werden. Bei dieser wurden die Modelle auf Grundlage von archäologischen Grabungsergebnissen und detaillierten bodenkundlichen Analysen erstellt. Weitere Fallstudien zeigen, dass elektrische Widerstandsmodelle eingesetzt werden können, um den Einfluss von ungünstigen Prospektionsbedingungen auf die Ergebnisse der elektrischen Widerstandsmessungen abzuschätzen. Diese Informationen unterstützen die Planung und Anwendung der Methoden im Gelände und ermöglichen eine effektivere Interpretation der Prospektionsergebnisse. Die präsentierten Modellierungsansätze benötigen eine weitere Verifizierung durch den Vergleich der Modellierungsergebnisse mit detailliertem geophysikalischem Gelände-Monitoring von archäologischen Fundstellen. Zusätzlich könnten elektrische Widerstandsmessungen an künstlichen Mauerstrukturen unter kontrollierten Bedingungen zur Überprüfung der Modellierungsprozesse genutzt werden.

Quantifying the ecological benefits of lakeshore restoration in northern Wisconsin

Housing development has increased dramatically in the Midwest with a high concentration around lakes. This development plays an important role in the economy of Northwoods communities. However, poorly planned development has the potential to alter a lake’s ecological processes and integrity. Studies have documented the impacts of housing developments and reported dramatic, negative changes to the flora and fauna in Vilas County, Wisconsin. One component of my research included examining the previously unstudied effects of residential development on the abundance and diversity of medium to large-bodied mammals using lakeshore ecosystems. The results suggest that a higher diversity of mammals were detected on low-development lakes. Coyotes were the most numerous species detected with the majority encountered on low-development lakes. White-tailed deer and red fox were more abundant on high-development lakes as compared to low-development lakes. I concluded that high-development lakes are having a negative affect on the mammal community in this area. Recently, lakeshore restoration has occurred on privately owned property in Vilas County and elsewhere in the Northwoods, but little is known about the benefit, if any, from these restoration efforts. A partnership between government agencies and academia has launched a long-term research project investigating the ecological benefits of lakeshore restoration. I investigated the impacts of using down woody material (DWM) to increase the success of restoration projects. Specifically, I tested the hypothesis that down woody material would reduce the variation in soil temperature, retain soil moisture, and improve plant survival and growth rates. I randomly assigned three DWM coverage treatments (0%, 25%, and 50%) on 3 m × 3 m experimental plots (n = 10 per treatment). The mean maximum soil temperature, temperature variation, and change in soil moisture content were significantly lower in the 25% and 50% DWM plots. I found no difference in survival, but snowberry (Symphoricarpos albus) and Barren strawberry (Waldstenia fragaroides) growth was significant greater in the 25% and 50% DWM plots. DWM addition can be considered a useful technique to physically manipulate soil properties and improve plant growth. Finally, I provided baseline data on vegetation structure, bird and small mammal community diversity and abundance for three lakes targeted for restoration efforts and their paired reference lakes. This study is one of the first of it kind in the area and continuing to document the degree of change in subsequent years will provide insight into the way the local ecosystem functions and how ecological communities are structured.

Arctic patterned-ground ecosystems: A synthesis of field studies and models along a North American Arctic Transect

Arctic landscapes have visually striking patterns of small polygons, circles, and hummocks. The linkages between the geophysical and biological components of these systems and their responses to climate changes are not well understood. The "Biocomplexity of Patterned Ground Ecosystems" project examined patterned-ground features (PGFs) in all five Arctic bioclimate subzones along an 1800-km trans-Arctic temperature gradient in northern Alaska and northwestern Canada. This paper provides an overview of the transect to illustrate the trends in climate, PGFs, vegetation, n-factors, soils, active-layer depth, and frost heave along the climate gradient. We emphasize the thermal effects of the vegetation and snow on the heat and water fluxes within patterned-ground systems. Four new modeling approaches build on the theme that vegetation controls microscale soil temperature differences between the centers and margins of the PGFs, and these in turn drive the movement of water, affect the formation of aggradation ice, promote differential soil heave, and regulate a host of system propel-ties that affect the ability of plants to colonize the centers of these features. We conclude with an examination of the possible effects of a climate wan-ning on patterned-ground ecosystems.

Effects of Pasture Conditions in Spring on Seasonal Forage Productivity

Fifteen beef cow-calf producers in southern Iowa were selected based on locality, management level, historical date of grazing initiation and desire to participate in the project. In 1997 and 1998, all producers kept records of production and economic data using the Integrated Resource Management-Standardized Performance Analysis (IRM-SPA) records program. At the initiation of grazing on each farm in 1997 and 1998, Julian date, degree-days, cumulative precipitation, and soil moisture, phosphorus, and potassium concentrations were determined. Also determined were pH, temperature, and load-bearing capacity; and forage mass, sward height, morphology and dry matter concentration. Over the grazing season, forage production, measured both by cumulative mass and sward height, forage in vitro digestible dry matter concentration, and crude protein concentration were determined monthly. In the fall of 1996 the primary species in pastures on farms used in this project were cool-season grasses, which composed 76% of the live forage whereas legumes and weeds composed 8.3 and 15.3%, respectively. The average number of paddocks was 4.1, reflecting a low intensity rotational stocking system on most farms. The average dates of grazing initiation were May 5 and April 29 in 1997 and 1998, respectively, with standard deviations of 14.8 and 14.1 days. Because the average soil moisture of 23% was dry and did not differ between years, it seems that most producers delayed the initiation of grazing to avoid muddy conditions by initiating grazing at a nearly equal soil moisture. However, Julian date, degree-days, soil temperature and morphology index at grazing initiation were negatively related to seasonal forage production, measured as mass or sward height, in 1998. And forage mass and height at grazing initiation were negatively related to seasonal forage production, measured as sward height, in 1997. Moreover, the concentrations of digestible dry matter at the initiation of and during the grazing season and the concentrations of crude protein during the grazing season were lower than desired for optimal animal performance. Because the mean seasonal digestible dry matter concentration was negatively related to initial forage mass in 1997 and mean seasonal crude proteins concentrations were negatively related to the Julian date, degree-days, and morphology indeces in both years, it seems that delaying the initiation of grazing until pasture soils are not muddy, is limiting the quality as well as the quantity of pasture forage. In 1997, forage production and digestibility were positively related to the soil phosphorus concentration. Soil potassium concentration was positively related to forage digestibility in 1997 and forage production and crude protein concentration in 1998. Increasing the number of paddocks increased forage production, measured as sward height, in 1997, and forage digestible dry matter concentration in 1998. Increasing yields or the concentrations of digestible dry matter or crude protein of pasture forage reduced the costs of purchased feed per cow.

Pasture Conditions at the Initiation of Grazing to Optimize Forage Productivity: A Progress Report

To determine environmental, soil, and sward effects at the initiation of cattle grazing in the spring on seasonal (forage accumulated during the grazing season) and cumulative (seasonal + initial forage mass) forage accumulation (FA), 15 commercial cow-calf producers from southern Iowa were selected by historical initial grazing date. At grazing initiation, twelve .25-m2 samples were hand-clipped from each pasture and sward heights (SH) measured with a falling plane meter (4.8 kg/m2) to determine initial forage mass. At each location, soil temperature and load bearing capacity (LBC) were measured and a soil sample was collected to measure pH and moisture, P, and K concentrations. Cumulative degree-days (base=3.85°C) and precipitation at grazing initiation were calculated from NOAA records. At the beginning of each month, at least three grazing exclosures were placed on each grazed pasture to determine monthly FA. SH in each exclosure was recorded, and a .25-m2 forage sample was hand-clipped proximate to each exclosure. At the end of each month, SH was recorded and .25-m2 hand-clipped forage samples from inside exclosures were obtained. In linear regressions, cumulative and seasonal SH increased with greater soil P (r2=.5049 and .5417), soil K (r2=.4675 and .4397), and initial forage mass (r2=.1984 and .2801). Seasonal SH increased with earlier initial grazing dates (r2=.1996) and less accumulated degree-days (r2=.2364). Cumulative and seasonal FA increased with earlier initial grazing dates (r2=.2106 and .3744), lower soil temperatures (r2=.2617 and.2874), and greater soil P (r2=.3489 and .2598). Cumulative FA increased with greater soil K (r2=.4675). In quadratic regressions, cumulative and seasonal SH were correlated to soil P (r2=.6310 and .5310) and soil K (r2=.5095 and.4401). Cumulative and seasonal FA were correlated to degree days (r2=.3630 and.4013) and initial grazing date (r2=.3425 and .4088). Cumulative FA was correlated to soil P (r2=.3539), and seasonal FA was correlated to soil moisture (r2=.3688).

Factors controlling decomposition rates of fine root litter in temperate forests and grasslands

Background and aims Fine root decomposition contributes significantly to element cycling in terrestrial ecosystems. However, studies on root decomposition rates and on the factors that potentially influence them are fewer than those on leaf litter decomposition. To study the effects of region and land use intensity on fine root decomposition, we established a large scale study in three German regions with different climate regimes and soil properties. Methods In 150 forest and 150 grassland sites we deployed litterbags (100 μm mesh size) with standardized litter consisting of fine roots from European beech in forests and from a lowland mesophilous hay meadow in grasslands. In the central study region, we compared decomposition rates of this standardized litter with root litter collected on-site to separate the effect of litter quality from environmental factors. Results Standardized herbaceous roots in grassland soils decomposed on average significantly faster (24 ± 6 % mass loss after 12 months, mean ± SD) than beech roots in forest soils (12 ± 4 %; p < 0.001). Fine root decomposition varied among the three study regions. Land use intensity, in particular N addition, decreased fine root decomposition in grasslands. The initial lignin:N ratio explained 15 % of the variance in grasslands and 11 % in forests. Soil moisture, soil temperature, and C:N ratios of soils together explained 34 % of the variance of the fine root mass loss in grasslands, and 24 % in forests. Conclusions Grasslands, which have higher fine root biomass and root turnover compared to forests, also have higher rates of root decomposition. Our results further show that at the regional scale fine root decomposition is influenced by environmental variables such as soil moisture, soil temperature and soil nutrient content. Additional variation is explained by root litter quality.

Numer and type of seeds introduced by footwear of travelers to Svalbard and germination success in 2008

Expanding visitation to Polar regions combined with climate warming increases the potential for alien species introduction and establishment. We quantified vascular plant propagule pressure associated with different groups of travelers to the high-Arctic archipelago of Svalbard, and evaluated the potential of introduced seeds to germinate under the most favorable average Svalbard soil temperature (10°C). We sampled the footwear of 259 travelers arriving by air to Svalbard during the summer of 2008, recording 1,019 seeds: a mean of 3.9 (±0.8) seeds per traveler. Assuming the seed influx is representative for the whole year, we estimate a yearly seed load of around 270,000 by this vector alone. Seeds of 53 species were identified from 17 families, with Poaceae having both highest diversity and number of seeds. Eight of the families identified are among those most invasive worldwide, while the majority of the species identified were non-native to Svalbard. The number of seeds was highest on footwear that had been used in forested and alpine areas in the 3 months prior to traveling to Svalbard, and increased with the amount of soil affixed to footwear. In total, 26% of the collected seeds germinated under simulated Svalbard conditions. Our results demonstrate high propagule transport through aviation to highly visited cold-climate regions and isolated islands is occurring. Alien species establishment is expected to increase with climate change, particularly in high latitude regions, making the need for regional management considerations a priority.

(Table 3) Collembola species density and diversity in control and OTC plots near Abisco Research Station

Ecosystems at high northern latitudes are subject to strong climate change. Soil processes, such as carbon and nutrient cycles, which determine the functioning of these ecosystems, are controlled by soil fauna. Thus assessing the responses of soil fauna communities to environmental change will improve the predictability of the climate change impacts on ecosystem functioning. For this purpose, trait assessment is a promising method compared to the traditional taxonomic approach, but it has not been applied earlier. In this study the response of a sub-arctic soil Collembola community to long-term (16 years) climate manipulation by open top chambers was assessed. The drought-susceptible Collembola community responded strongly to the climate manipulation, which substantially reduced soil moisture and slightly increased soil temperature. The total density of Collembola decreased by 51% and the average number of species was reduced from 14 to 12. Although community assessment showed species-specific responses, taxonomically based community indices, species diversity and evenness, were not affected. However, morphological and ecological trait assessments were more sensitive in revealing community responses. Drought-tolerant, larger-sized, epiedaphic species survived better under the climate manipulation than their counterparts, the meso-hydrophilic, smaller-sized and euedaphic species. Moreover it also explained the significant responses shown by four taxa. This study shows that trait analysis can both reveal responses in a soil fauna community to climate change and improve the understanding of the mechanisms behind them.

Manejo de suelo mediante coberturas vegetales establecidas

El objetivo de esta investigación fue determinar los efectos de las coberturas vegetales en el microclima de la planta de vid. Se compararon cinco coberturas de diferente ciclo vegetativo con respecto al manejo de suelo sin labranza mediante aplicación de herbicidas. El estudio se desarrolló en un viñedo cv. Malbec conducido en espaldera alta, situado en Agrelo, Luján de Cuyo, Mendoza, Argentina. Se determinaron parámetros microclimáticos, temperatura, humedad relativa y radiación a nivel de racimos, temperatura del suelo, cantidad y calidad de la radiación reflejada por la cobertura. También se midió la expresión vegetativa y de uvas y el potencial enológico. Se verificó una significativa disminución de la radiación fotosintéticamente activa (RFA) reflejada por las coberturas con una menor relación “Rojo/Rojo lejano" comparada con el suelo descubierto. Sin embargo, el efecto no se percibió dentro de la canopia debido a que las coberturas permanentes de trébol rojo (Trifolium pratensis) y agropiro alargado (Agropyron elongatum) restringieron el vigor de las cepas, disminuyendo el crecimiento de brotes y el tamaño de hojas, lo cual se tradujo en una mayor recepción directa de la RFA a nivel de racimos. No hubo una significativa variación en cuanto a temperatura máxima, mínima y amplitud térmica a nivel de racimos. No obstante ello, los tratamientos con mayor cobertura de suelo tendieron a reducir levemente la temperatura mínima a nivel de racimos. La humedad relativa en la canopia no fue significativamente afectada. El trébol rojo, el agropiro alargado, la mezcla centeno-cebadilla (Secale cereale-Bromus catharticus) y el sorgo del Sudán (Sorghum sudanensis) redujeron notablemente la amplitud térmica del suelo. El efecto fue determinado principalmente por la disminución de la temperatura máxima. Las coberturas vegetales con alguna dificultad para desarrollarse durante su ciclo vegetativo tuvieron un comportamiento intermedio o uno muy similar al de un suelo descubierto. La introducción de una cobertura permanente con buena invasión del sitio interfilar permitió modificar indirectamente las características microclimáticas de la canopia, a través del control del crecimiento vegetativo y de los rendimientos de la planta de vid, modificando el equilibrio vigor / producción del viñedo, y por lo tanto la composición de las uvas y del vino elaborado.

Temperaturas óptimas para resembrar especies mesotérmicas sobre céspedes de Cynodon dactylon en el centro-sur de la provincia de Córdoba, Argentina

Los objetivos fueron determinar temperaturas medias de suelo (TMS) y mínimas de aire (TMA) adecuadas para realizar resiembras otoñales; evaluar la tasa de crecimiento (TCC) de Cynodon dactylon (Bermuda) que minimice la competencia con la especie resembrada y el comportamiento de distintas especies mesotérmicas en el centro-sur de la provincia de Córdoba. Se resembró durante 2010 y 2011, en un diseño de parcelas divididas con cinco fechas de siembra (FS) quincenalmente desde principios de marzo, con tres genotipos: Lolium multiflorum cv Axcella, L. perenne y L. perenne cv Excel I. Las temperaturas se midieron entre principios de marzo y hasta que la bermuda entró en dormición, calculando TMA y TMS. En las subparcelas resembradas se registraron calidad visual y cobertura total; además, en la bermuda se calculó la TCC. Las resiembras que lograron valores más altos de calidad visual, cobertura y bajas TCC de la Bermuda, se dieron con TMS entre 18 - 21°C y TMA entre 11,5 - 15,5°C. De acuerdo con los valores medios normales de la región centro-sur de Córdoba, las temperaturas óptimas se observan entre la segunda década de marzo y primera de abril. Los tres genotipos tuvieron comportamientos similares independientemente de la FS utilizada.

Meteorological measurements from the Fourcade and Polar Club Glacier, Warszawa Icefield, King George Island, West Antarctica

The South Shetland Islands are located at the northern tip of the AP which is among the fastest warming regions on Earth. The islands are especially vulnerable to climate change due to their exposure to transient low-pressure systems and their maritime climate. Surface air temperature increases (2.5K in 50 years) are concurrent with retreating glacier fronts, an increase in melt areas, ice surface lowering and rapid break-up and disintegration of ice shelves. We have compiled a unique meteorological data set for the King George Island (KGI)/Isla 25 de Mayo, the largest of the South Shetland Islands. It comprises high-temporal resolution and spatially distributed observations of surface air temperature, wind directions and wind velocities, as well as glacier ice temperatures in profile with a fully equipped automatic weather station on the Warszawa Icefield, from November 2010 and ongoing. In combination with two long-term synoptic datasets (40 and 10 years, respectively) and NCEP/NCAR reanalysis data, we have looked at changes in the climatological drivers of the glacial melt processes, and the sensitivity of the inland ice cap with regard to winter melting periods and pressure anomalies. The analysis has revealed, a positive trend of 5K over four decades in minimum surface air temperatures for winter months, clearly exceeding the published annual mean statistics, associated to a decrease in mean monthly winter sea level pressure. This concurs with a positive trend in the Southern Annular Mode (SAM) index, which gives a measure for the strength and extension of the Antarctic vortex. We connect this trend with a higher frequency of low-pressure systems hitting the South Shetland Islands during austral winter, bringing warm and moist air masses from lower latitudes. Due to its exposure to the impact of transient synoptic weather systems, the ice cap of KGI is especially vulnerable to changes during winter glacial mass accumulation period. A revision of seasonal changes in adiabatic air temperature lapse rates and their dependency on exposure and elevation has shown a clear decoupling of atmospheric surface layers between coastal areas and the higher-elevation ice cap, showing the higher sensitivity to free atmospheric flow and synoptic changes. Observed surface air temperature lapse rates show a high variability during winter months (standard deviations up to ±1.0K/100 m), and a distinct spatial variability reflecting the impact of synoptic weather patterns. The observed advective conditions bringing warm, moist air with high temperatures and rain, lead to melt conditions on the ice cap, fixating surface air temperatures to the melting point. This paper assesses the impact of large-scale atmospheric circulation variability and climatic changes on the atmospheric surface layer and glacier mass accumulation of the upper ice cap during winter season for the Warszawa Icefield on KGI.

Fluxes and meteorological observations on Spitsbergen

Arctic permafrost may be adversely affected by climate change in a number of ways, so that establishing a world-wide monitoring program seems imperative. This thesis evaluates possibilities for permafrost monitoring at the example of a permafrost site on Svalbard, Norway. An energy balance model for permafrost temperatures is developed that evaluates the different components of the surface energy budget in analogy to climate models. The surface energy budget, consisting of radiation components, sensible and latent heat fluxes as well as the ground heat flux, is measured over the course of one year, which has not been accomplished for arctic land areas so far. A considerable small-scale heterogeneity of the summer surface temperature is observed in long-term measurements with a thermal imaging system, which can be reproduced in the energy balance model. The model can also simulate the impact of different snow depths on the soil temperature, that has been documented in field measurements. Furthermore, time series of terrestrial surface temperature measurements are compared to satellite-borne measurements, for which a significant cold-bias is observed during winter. Finally, different possibilities for a world-wide monitoring scheme are assessed. Energy budget models can incorporate different satellite data sets as training data sets for parameter estimation, so that they may constitute an alternative to purely satellite-based schemes.

A 18-years long (1993-2011) snow and meteorological dataset from a mid-altitude mountain site (Col de Porte, France, 1325 altitude)

A quality-controlled snow and meteorological dataset spanning the period 1 August 1993-31 July 2011 is presented, originating from the experimental station Col de Porte (1325 m altitude, Chartreuse range, France). Emphasis is placed on meteorological data relevant to the observation and modelling of the seasonal snowpack. In-situ driving data, at the hourly resolution, consist of measurements of air temperature, relative humidity, windspeed, incoming short-wave and long-wave radiation, precipitation rate partitioned between snow- and rainfall, with a focus on the snow-dominated season. Meteorological data for the three summer months (generally from 10 June to 20 September), when the continuity of the field record is not warranted, are taken from a local meteorological reanalysis (SAFRAN), in order to provide a continuous and consistent gap-free record. Data relevant to snowpack properties are provided at the daily (snow depth, snow water equivalent, runoff and albedo) and hourly (snow depth, albedo, runoff, surface temperature, soil temperature) time resolution. Internal snowpack information is provided from weekly manual snowpit observations (mostly consisting in penetration resistance, snow type, snow temperature and density profiles) and from a hourly record of temperature and height of vertically free ''settling'' disks. This dataset has been partially used in the past to assist in developing snowpack models and is presented here comprehensively for the purpose of multi-year model performance assessment. The data is placed on the PANGAEA repository (doi:10.1594/PANGAEA.774249) as well as on the public ftp server ftp://ftp-cnrm.meteo.fr/pub-cencdp/.