Validation and sensitivity tests on improved paramerizations of a land surface process model (LSPM) in the Po Valley

The Land Surface Process Model (LSPM) has been improved with respect to the 1st version of 1994. The modifications have involved the parametrizations of the radiation terms and of turbulent heat fluxes. A parametrization of runoff has also been developed, in order to close the hydrologic balance. This 2nd version of LSPM has been validated against experimental data gathered at Mottarone (Verbania, Northern Italy) during a field experiment. The results of this validation show that this new version is able to apportionate the energy into sensible and latent heat fluxes. LSPM has also been submitted to a series of sensitivity tests in order to investigate the hydrological part of the model. The physical quantities selected in these sensitivity experiments have been the initial soil moisture content and the rainfall intensity. In each experiment, the model has been forced by using the observations carried out at the synoptic stations of San Pietro Capofiume (Po Valley, Italy). The observed characteristics of soil and vegetation (not involved in the sensitivity tests) have been used as initial and boundary conditions. The results of the simulation show that LSPM can reproduce well the energy, heat and water budgets and their behaviours with varying the selected parameters. A careful analysis of the LSPM output shows also the importance to identify the effective soil type

Validation of a method for the determination of the sensible-heat flux with Sodar data in free convection cases

A simple method to determine the value of the ground sensible-heat flux using Sodar data is presented and validated. The measurement of the variance of the wind velocity components gives us an estimate of the intensity of the atmospheric turbulence; the local value of variance of the vertical wind velocity s2w depends on the efficiency of thermal and mechanical turbulence production. The portion of the atmospheric boundary layer, where turbulent kinetic energy is prevalently produced by buoyancy forces, is characterised by profiles of s3w Oz and of (sensible-) heat flux which decrease linearly with height. The extrapolation to the ground of the former profile gives an estimate of the value of sensible-heat flux at the surface. The validation of the results is performed by comparison of the energy involved in the development of convective episodes calculated, over the same time interval, from sensible-heat flux at the surface with that derived from potential temperature profiles relative to two successive radio soundings. When perturbative processes like, for example, rise up of breezes, are absent, the estimates of energies are in excellent agreement, being the angular coefficient of regression line 1.01 and the linear correlation coefficient 0.93

Obstacle-induced perturbations on turbulent quantities measured in airflows over the sea

An experimental campaign, aiming to investigate the perturbation effects induced by fixed obstacles on turbulence measurements in airflows at the air-sea interface, was carried out at the marine platform of the Italian Navy, located in the harbour of La Spezia (North Ligurian Sea, Italy), near Lerici, on 28th, 29th, and 30th June 1994. This study was prompted by the ever-growing interest in more reliable estimates of energy, mass, and momentum exchanges between water surfaces and atmosphere, whose measurements are severely limited by the geometrical constraints of floating or fixed platforms where they are installed. Two types of meteorological instruments have been used: fast response (20 and 21 Hz) ultrasonic anemometers and fluxmeters to measure turbulent momentum, sensible, and latent heat fluxes and slow-response sensors (less than 4 Hz and sampled at a rate of 1022 Hz) to measure average wind and temperature vertical profiles in the perturbed boundary layer. Both fast- and slow-response instruments have been located a few meters apart from each other, along horizontal and vertical directions, so as to establish also an upper limit to the reliability of horizontal and vertical divergences and gradients of average and turbulent quantities in the obstacle wake. It has been observed that, in the airflow perturbed by the marine platform and its fixed structures, the fast-response instruments of the same type and made by the same manufacturers gave results that compared well with each other, even if they were located at different positions and heights (except for the vertical component of turbulent wind speed), while the comparison among different types of fast instruments gave more uncertain results. On the contrary, as far as mean values of the physical quantities were concerned, the measurements of slow-response instruments in the perturbed airflow were always in good agreement with the averaged data of fast instruments, irrespective of their factory or construction features

Međudjelovanje atmosfere s morem u Jadranu: simulacije bure i juga

Two simulations of the response of Adriatic Sea to severe wind performed by an atmosphere-ocean coupled model and the comparisons with observed data and modelled fields published in literature are presented. The model RAMS-DieCAST was applied to simulate the variations of sea currents and temperature profiles, from surface to bottom, induced by two episodes of intense wind over the Adriatic sea: a Bora wind event that occurred in January 1995 and a Sirocco wind event in November 2002. The results of the simulations are compared with observed data at the sea surface. In the Bora episode, the computed surface temperatures are compared with satellite SSTs and in situ observed temperatures; in the Sirocco event the simulated surface currents and temperatures are compared with experimental data collected by surface drifters released in different regions of the Adriatic Sea during the same Sirocco event. In both episodes the simulated temperature trends agree with the observed values and during the Sirocco episode the current fields are in quite good agreement with the drifter data. The modelled sea temperature and velocity fields show also a good concordance with other simulation results in literature.Dvije simulacije jakog vjetra nad Jadranom simuliraju se združenim atmosfersko-oceanografskim modelom te se analiziraju i uspoređuju s mjerenjima i drugim objavljenim modeliranim poljima. U tu svrhu se koristi model RAMS-DieCAST za simulaciju promjena morskih struja i temperaturnih profila po vertikali, uzrokovanih dvjema epizodama intenzivnog vjetra nad Jadranom: burom u siječnju 1995. godine i jugom u studenom 2002. godine. Rezultati simulacija se uspoređuju s opažanjima na morskoj površini. Tijekom bure, modelirana površinska temperatura uspoređuje se s površinskom temperaturom mora dobivene satelitskim mjerenjima i mjerenjima temperature u određenim točkama prostora. Tijekom juga, simulirane površinske struje i temperature se uspoređuju s eksperimentalnim mjerenjima dobivenih na temelju površinskih driftera koji su pušteni u različitim dijelovima Jadrana za istu epizodu. U obje epizode trendovi simulirane temperature dobro se podudaraju s opažanjima. Također se tijekom juga, površinske struje dobro podudaraju s mjerenjima driftera. Modelirana temperatura mora kao i vektorsko polje brzina pokazuju dobro slaganje s rezultatima sličnih simulacija u literaturi

On the representativeness of UTOPIA land surface model for creating a database of surface layer, vegetation and soil variables in Piedmont vineyards, Italy

The main aim of the paper is to show how, and how many, simulations carried out using the Land Surface Model UTOPIA (University of TOrino model of land Process Interaction with Atmosphere) are representative of the micro-meteorological conditions and exchange processes at the atmosphere/biosphere interface, with a particular focus on heat and hydrologic transfers, over an area of the Piemonte (Piedmont) region, NW Italy, which is characterized by the presence of many vineyards. Another equally important aim is to understand how much the quality of the simulation outputs was influenced by the input data, whose measurements are often unavailable for long periods over country areas at an hourly basis. Three types of forcing data were used: observations from an experimental campaign carried out during the 2008, 2009, and 2010 vegetative seasons in three vineyards, and values extracted from the freely available Global Land Data Assimilation System (GLDAS, versions 2.0 and 2.1). Since GLDAS also contains the outputs of the simulations performed using the Land Surface Model NOAH, an additional intercomparison between the two models, UTOPIA and NOAH, both driven by the same GLDAS datasets, was performed. The intercomparisons were performed on the following micro-meteorological variables: net radiation, sensible and latent turbulent heat fluxes, and temperature and humidity of soil. The results of this study indicate that the methodology of employing land surface models driven by a gridded database to evaluate variables of micro-meteorological and agronomic interest in the absence of observations is suitable and gives satisfactory results, with uncertainties comparable to measurement errors, thus, allowing us to also evaluate some time trends. The comparison between GLDAS2.0 and GLDAS2.1 indicates that the latter generally produces simulation outputs more similar to the observations than the former, using both UTOPIA and NOAH models

Preliminary results of an attempt to provide soil moisture datasets in order to verify numerical weather prediction models

In the recent years, there has been a significant growth in the recognition of the soil moisture importance in large-scale hydrology and climate modelling. Soil moisture is a lower boundary condition, which rules the partitioning of energy in terms of sensible and latent heat flux. Wrong estimations of soil moisture lead to wrong simulation of the surface layer evolution and hence precipitations and cloud cover forecasts could be consequently affected. This is true for largescale medium-range weather forecasts as well as for local-scale short-range weather forecasts, particularly in those situations in which local convection is well developed. Unfortunately, despite the importance of this physical parameter there are only few soilmoisture data sets sparse in time and in space around in the world. Due to this scarcity of soil moisture observations, we developed an alternative method to provide soilmoisture datasets in order to verify numericalw eather prediction models. In this paper are presented the preliminary results of an attempt to verify soil moisture fields predicted by a mesoscale model. The data for the comparison were provided by the simulations of the diagnostic land surface scheme LSPM (Land Surface Process Model), widely used at the Piedmont Regional Weather Service for agro-meteorological purposes. To this end, LSPM was initialized and driven by Synop observations, while the surface (vegetation and soil) parameter values were initialized by ECOCLIMAP global dataset at 1km2 resolution