Links between precipitation, circulation weather types and orography in central Italy

Silvestri, Lorenzo De; Saraceni, Miriam; Cerlini, Paolina Bongioannini

doi:10.1002/joc.7563

Cited by 15 publications

(12 citation statements)

References 54 publications

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“…For what it concerns the biases in precipitation, the results obtained here are in line with what has been found in Central Italy where discrepancies between observations and ERA5 reanalysis precipitation have been noticed in general, and specifically in the Trasimeno lake area, where yearly mean precipitation is overestimated by ERA5 reanalyses [74]. Moreover, in the literature, precipitation biases of ERA5 have been noted in other parts of the world.…”

Section: Discussionsupporting

confidence: 91%

Monitoring the Water Mass Balance Variability of Small Shallow Lakes by an ERA5-Land Reanalysis and Water Level Measurement-Based Model. An Application to the Trasimeno Lake, Italy

et al. 2022

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Climate change has a strong impact on inland water bodies such as lakes. This means that the increase in lake temperature recorded in recent decades-in Europe as well-can change the evaporation regime of the lakes. This, together with the variation of the water cycle, in particular precipitation, implies that the water mass balance of lakes may vary due to climate change. Water mass balance modeling is therefore of paramount importance to monitor lakes in the context of global warming. Although many studies have focused on such a modeling, there is no shared approach that can be used for any lake across the globe, irrespective of the size. This becomes even more problematic for shallow and small lakes, for which few studies exist. For this reason, in this paper the use of reanalysis data, in particular ERA5-Land provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), is proposed for the mass balance modeling. In fact, ERA5-Land has a global coverage and it is the only data source comprising a specific model for lakes, the Fresh-water Lake model (FLake). The chosen case study is the Trasimeno lake, a small and shallow lake located in Central Italy. The use of the reanalysis was preceded by data validation by considering both ground-based and satellite observations. The results show that there is a good agreement between the observed monthly variation of the lake level, ΔH, and the corresponding values of the water storage, δ, computed by means of the ERA5-Land data (Pearson coefficient larger than 70%). Discrepancies between observations and the ERA5-Land data happen in periods characterized in Europe by an extreme climate anomaly. This promising result encourages the use of ERA5-Land for other lakes.

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Section: Discussionsupporting

confidence: 91%

Monitoring the Water Mass Balance Variability of Small Shallow Lakes by an ERA5-Land Reanalysis and Water Level Measurement-Based Model. An Application to the Trasimeno Lake, Italy

et al. 2022

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“…Therefore, the disadvantage of managing a larger dataset is not always balanced by an improvement in terms of accuracy. As regards precipitation, it is more difficult to represent its erratic spatial distribution; a study over Central Italy (period: 1951-2019), has shown that ERA5 generally overestimates the annual rainfall, except on the north-central Apennines where it is underestimated [10] . Anyway, with reference to several Italian irrigation districts, a general good agreement was obtained between observed and reanalysis (ERA5 and ERA5 Land) derived agrometeorological variables at both daily and seasonal scales [9] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

MADIA - Meteorological variables for agriculture: A dataset for the Italian area

Parisse¹,

Alilla²,

Gerardo³

et al. 2023

Data in Brief

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“…The circulation weather type classification is the same as in Silvestri et al (2022a). Daily circulation weather types (CWT) are classified by using mean sea level pressure (MSLP) as the classification variable and obliquely rotated principal components in T-mode (PCT), also called principal component analysis in T-mode (TPCA), as the classification method.…”

Section: Circulation Weather Types Classificationmentioning

confidence: 99%

The correlation of long‐range Saharan dust advections with the precipitation and radiative budget in the Central Mediterranean

Silvestri,

Petroselli,

Saraceni

et al. 2024

Intl Journal of Climatology

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This work analyses 10 years (from 2009 to 2018) of long‐range Saharan dust advections (SDAs) and their correlation with the precipitation and radiative budget over the Central Mediterranean region. The identification of the SDAs is based on back‐trajectories (BTs) of air mass and complementary measurements of the dust deposited at the site of Monte Martano in Central Italy. The associated synoptic circulation weather types (CWT), precipitation and radiation variables have been estimated by using ERA5 and CAMS reanalysis, satellite data and raingauge observations. It is found that the 50% of all SDAs occur under a CWT characterized by an upper level trough over the Western Mediterranean and a high‐pressure system over the Eastern Mediterranean. Strong southerly winds, large vertical integral of water vapour transport and a positive anomaly of 2 m temperature are associated with dust uplift and transport. The effect of dust on rainfall intensity puts forward the important modulation of the aerosol effects on the radiative budget with a latitudinal dependence. On dusty days, intense rainfall increases over the northern Central Mediterranean and light rainfall is suppressed in the southern Central Mediterranean, pointing out a relevant correlation between dust and the intensification of extreme events. Other than affecting rainfall intensity, the stronger surface heating over the southern Central Mediterranean, which is correlated to a higher dust optical depth, causes a local maximum of sea surface temperature (SST) and near‐surface temperature anomaly.

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Links between precipitation, circulation weather types and orography in central Italy

Cited by 15 publications

References 54 publications

Monitoring the Water Mass Balance Variability of Small Shallow Lakes by an ERA5-Land Reanalysis and Water Level Measurement-Based Model. An Application to the Trasimeno Lake, Italy

Monitoring the Water Mass Balance Variability of Small Shallow Lakes by an ERA5-Land Reanalysis and Water Level Measurement-Based Model. An Application to the Trasimeno Lake, Italy

MADIA - Meteorological variables for agriculture: A dataset for the Italian area

The correlation of long‐range Saharan dust advections with the precipitation and radiative budget in the Central Mediterranean

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