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  • 1
    Publication Date: 2023-01-30
    Description: Over annual to decadal timescales changes in the storm track influences regional climate in Europe, however little is known about how the storm track varies over centennial and millennial timescales. We here present two datasets. The first is a reconstruction of storminess from northwest Spain spanning the period 4600-0 cal yrs BP, which was developed by measuring aeolian sand deposits in a peat core from Pedrido Bog, Galicia, Spain. Samples of equal volume (5 cm3) from 1 cm contiguous intervals along the core were processed using the loss-on-ignition method (Heiri et al. 2001), leaving the ignition residue, which was sieved to establish the weight of the 120-180 and 〉180 micron sand fractions. The ignition residue and sand fractions reflect the past amount of sand deposition, which can be used as proxies for storminess. The second dataset is a North-South storm track index reconstruction for western Europe spanning the period 3940-120 cal yrs BP. To create the storm track index, the above described storminess record from Spain was subtracted from a storminess record from Scotland, derived by averaging the results of two storminess reconstructions from the Outer Hebrides, Scotland (Orme et al., 2016). Each record was sampled to the same 20 year temporal resolution and standardised prior to this.
    Keywords: Europe; Holocene; North Atlantic Oscillation; storminess; storm track
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2023-02-07
    Description: Over annual to decadal timescales changes in the storm track influences regional climate in Europe, however little is known about how the storm track varies over centennial and millennial timescales. We here present two datasets. The first is a reconstruction of storminess from northwest Spain spanning the period 4600-0 cal yrs BP, which was developed by measuring aeolian sand deposits in a peat core from Pedrido Bog, Galicia, Spain. Samples of equal volume (5 cm3) from 1 cm contiguous intervals along the core were processed using the loss-on-ignition method (Heiri et al. 2001), leaving the ignition residue, which was sieved to establish the weight of the 120-180 and 〉180 micron sand fractions. The ignition residue and sand fractions reflect the past amount of sand deposition, which can be used as proxies for storminess. The second dataset is a North-South storm track index reconstruction for western Europe spanning the period 3940-120 cal yrs BP. To create the storm track index, the above described storminess record from Spain was subtracted from a storminess record from Scotland, derived by averaging the results of two storminess reconstructions from the Outer Hebrides, Scotland (Orme et al., 2016). Each record was sampled to the same 20 year temporal resolution and standardised prior to this.
    Keywords: After Heiri et al., (2001); AGE; Density, organic matter; DEPTH, sediment/rock; Europe; Grain size, sieving; Holocene; Ignition residue; North Atlantic Oscillation; PEATC; Peat corer; Pedrido_Bog; Size fraction 〉 0.180 mm; Size fraction 0.18-0.12 mm; Spain; storminess; storm track
    Type: Dataset
    Format: text/tab-separated-values, 968 data points
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  • 3
    Publication Date: 2023-02-07
    Description: To create the storm track index, the above described storminess record from Spain was subtracted from a storminess record from Scotland, derived by averaging the results of two storminess reconstructions from the Outer Hebrides, Scotland (Orme et al., 2016). Each record was sampled to the same 20 year temporal resolution and standardised prior to this.
    Keywords: DEPTH, sediment/rock; Europe; Hill_Top_Bog; Holocene; North Atlantic Oscillation; North-south storm track index; Outer Hebrides, Scotland; PEATC; Peat corer; Pedrido_Bog; Spain; storminess; storm track; STR; Struban_Bog
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 4
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2023-08-08
    Description: Plasmopara viticola is the causal agent of the downy mildew, the most severe disease of grapevines. In order to prevent and/or mitigate the plant disease, fungicide treatments are often required, despite the presence of side effects on the environment and the potential hazard for human health in case of prolonged exposition. The choice of proper treatments and optimal scheduling is the key to managing downy mildew in an eco-friendly way. Plasmopara viticola’s growth depends on meteorological variables, like temperature and rain, plant’s genotype, the degree of exposition to oospores and soil conditions. Field measurements are expensive both for the high cost of oospore sensors and for the need of meteorological sensors describing the microclimate around each plant. Whatever the amount of information gathered from sensors of a vineyard, a decision must be taken, e.g. according to the predicted probability of infected leaves (and grapes) and considering side effects like the impact of a chemical treatment on the soil and on biodiversity. A multi-attribute utility function on variables describing future consequences of a decision may be defined by following the assumptions of utility independence and preferential independence. The inherent uncertainty is described by a Bayesian prior-predictive distribution where prior are elicited from experts, and eventually updated using available data. The resulting optimal decision is defined as the argument that maximises the expected value of the utility function. The proposed utility function may be tuned to match the individual preference scheme of the winegrower and eventually extended to include further variables like those describing the quality and yield of grapes.
    Keywords: Optimal decision ; Precision agriculture ; Phytopathogen ; Sustainability ; bic Book Industry Communication::J Society & social sciences
    Language: English
    Format: image/png
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  • 5
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-05
    Description: Remote sensing observations point out that snow grain size in Antarctica follows a clear seasonal evolution, a summer increase and a winter decrease, which is conditioned by atmospheric processes, namely temperature, wind, snowfall, and by mechanisms acting inside the snowpack leading to water vapour transport causing the coarsening of the grains. This study focuses on the evolution of the grain size in the interior part of East Antarctica, where dry metamorphism occurs. For this, we use AMSU-B passive microwave radiometer observations collected from 2020 to 2022. The highest ridges in East Antarctica are the regions where the grain size increases the most in the summer, mainly because the wind speed is low. Moreover, some extreme weather events in this regions, where the grain size increased to large values with respect to the averages (over +3 sigma), were identified. In these cases, the ERA5 reanalysis revealed an atmospheric blocking/ridge situation around the onsets of the summer growing of the grain size, conveying the relatively warm and moist air coming from the mid latitudes, often associated with atmospheric rivers. If the following weeks feature weak wind, low temperature and low snowfall conditions, snow dry metamorphism is facilitated, leading to grain growth, and determining anomalous high value of the snow grain size at the end of the summer season. These grain size changes impact the albedo and have consequence on the energy budget of the surface.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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