La Meteorologia aplicada á la agricultura : memoria premiada por la sociedad Real de las ciencias de Montpellier /

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Antonii Mizaldi Monsluciani Meteorologia siue perspicua declaratio rerum quae in aëre fiunt, id est, pluuiae, grandinis, tonitrui & id genus aliorum causas ...

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Meteorologia veterum Graecorum et Romanorum : prolegomena ad novam Meteorologicorum Aristotelis /

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La meteorologia applicata all'agricoltura; memoria che ha riportato il premio dalla Società reale delle scienze di Montpellier, sul problema proposto per l'anno 1774: Qual'è l'influenza delle meteore sulla vegetazione, e quali conseguenze pratiche possono ricavarsi, relativamente a quest'oggetto, dalle differenti osservazioni meteorologiche sin ora fatte; ...

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Biblioteca georgica ossia catalogo ragionato degli scrittori de agricoltura, veterinaria, agrimenssura, meteorologia, economia pubblica, caccia, pesca ec / spettanit all'Italia del proposto Marco Lastri.

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Um estudo sobre o ensino de evaporação no contexto ciência, tecnologia e sociedade

The scope of this Dissertation is propose the teaching of the evaporation based on the approach Science, Technology and Society (STS) because we believe that this type of approach is able to provide students with a more critical and conscious learning about science. Moreover, with this search, it´s possible to show for students the importance of role to play for them as citizens in decision making aimed to benefit all who are part of the community to which they belong. From this perspective, broached the theme evaporation in a region characterized by constant lack of water for consumption, the municipality of Santa Cruz/RN because, despite the creation of dams to regulate the flow of rivers and increase the availability of water during periods of scarcity, we know that these reservoirs have a large free liquid surface allowing high water loss by evaporation. Thus, evaporation affects the performance of reservoirs for water supply and irrigation, being a phenomenon of particular interest to study. To this end, a questionnaire in order to identify students' preconceptions on the subject was applied. Was then prepared and conducted a workshop geared toward students majoring in Physics Campus Santa Cruz, Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN). The completion of the workshop served as a space for discussion of the topic within the context of the municipality of Santa Cruz/RN. As a product, we suggest to physics teachers a guide with recommendations to be taken into account when they teach this subject

Contribuição para o ensino da meteorologia e do clima

Numa época em que tanto se fala e escreve sobre Alterações Climáticas torna­ se pertinente elaborar um documento de apoio ao ensino que ajude os professores e alunos a explicar/perceber as complexas interacções do sistema climático. O presente trabalho tem o objectivo de contribuir para uma melhor compreensão dos aspectos físicos elementares que afectam a variabilidade climática e a forma como as diversas actividades desenvolvidas pelo Homem podem desequilibrar o sistema climático. O texto encontra-se amplamente ilustrado, facilitando a sua compreensão, e foram desenvolvidas ferramentas de cálculo em Excel que permitem utilizar as observações recolhidas nas Estações Meteorológicas Automáticas, instaladas nas escolas secundárias aderentes ao projecto PROCURA, para avaliar a difusão e dispersão de uma pluma de poluentes ou para simular o efeito de alterações na concentração de Gases com Efeito de Estufa na temperatura média à superfície. ABSTRACT: At a time when so much is said and written about Climate Changes it becomes relevant to draw up a document to support teaching, helping teachers and students to explain/understand the complex interactions of the climate system. This document aims to contribute to a better understanding of the physical elements that affect climate variability and how the various activities undertaken by humans can disrupt the climate system. The text is amply illustrated, facilitating its understanding, and calculating tools have been developed in Excel to allow the use of observations collected from Automatic Weather Stations, installed in the high schools which joined the project PROCURA, to evaluate the diffusion and dispersion of a plume of pollutants or to simulate the effect of changes in the concentration of Greenhouse Gases on the average temperature at the surface.

Soma térmica em dois anos consecutivos e de meteorologia distinta para cafeeiros plantados em Varginha - MG.

O cálculo da soma térmica ou dos graus dia acumulados (GDA) é um a maneira de correlacionar as variações da temperatura média diária com o desenvolvimento das plantas, que se dá pela sucessão de estágios fisiológicos reconhecíveis. O cálculo da soma térmica vem sendo aplicado a cafeeiros desde a década de 80, e há dois anos tem sido aplicado a cafeeiros arabica Arara, Sabiá e Siriema, plantados na Fazenda Experimental da Fundação Procafé, em Varginha com a expectativa de que contribua para caracterizar detalhadamente sua interação com as variações do clima. O objetivo deste trabalho foi comparar resultados obtidos durante o ciclo reprodutivo dos anos 2014/15 e 2015/16, para as fases de antese até formação de chumbinhos e dos chumbinhos até o grão verde.

Lentosääennusteiden merkitys

Tässä työssä selvitetään lentosääennusteiden käyttöä lennon suunnittelun ja toteutuksen perusteena. Tuodaan esille määräyksiä ja lentosäätietojen käyttöä kaikissa lennon vaiheissa. Perehdytään ennustettujen olosuhteiden ja ennusteiden laadun merkitykseen lentojen toteutuksessa. Selvitetään lentosääennusteisiin liittyviä lentoliikenteen kustannuksia. Työn aineistona käytettiin joulukuu 2006 - heinäkuu 2007 välisenä aikana eri pituisina jaksoina kerättyä 185 liikennelennon lennonsuunnittelumateriaalia ja 126 satunnaisella otoksella otettuja Suomen GAFOR -ennusteita. Liikennelennot toteutettiin Suomen ja Euroopan alueella. Työssä todennettiin METAR –lentopaikkasanoman avulla TAF -lentopaikka-, TREND -laskeutumis-, GAFOR -yleisilmailuennusteita. Yleisestä sääpalvelusta saatua materiaalia käsiteltiin EXCEL –taulukkolaskentaohjelmalla Lentosääennusteita käsiteltiin usean eri käyttäjäryhmän kannalta. Reittilentomittauksilla tutkittiin SIGMET –varoituspalvelun, SWC –merkitsevän sään ja yläilmakehän tuulen sekä lämpötilan ennusteita. TAF –pilvikorkeusennusteiden keskimääräinen hyvyysluku oli lähes sama pilvikorkeudesta riippumatta. Suhteellisen hyvissä olosuhteissa toimivat käyttäjät saivat ennusteista paljon hyötyä. Vaakanäkyvyysennusteiden keskimääräinen hyvyysluku oli suurempi hyvissä kuin huonoissa olosuhteissa. Huonojen olosuhteiden ennusteet olivat lentotoiminnalle enemmän harmillisia kuin hyödyllisiä. Ennustustyö olisi tarvinnut apuvälinettä. Tutkittiin TREND –ennusteiden ominaista osuvuutta. NOSIG –ennuste oli suhteellisen usein julkaistu vaikka sitä seurasi olosuhteen muutos. BECMG -ennuste toteutui pääsääntöisesti ennusteajan alkupuolella. Ajoittaisten olosuhdemuutosten aikana TEMPO -ennusteita julkaistiin hyvin, mutta ennusteen osuvuus vaihteli. Tässä muodossa jaettu ennustetieto ei palvele kovin hyvin päätöstilannetta, jossa on arvioitava polttoaineen riittävyys lennon loppuosalle. GAFOR -pintatuuliennusteet olivat onnistuneita kuten TAF -ennusteissa. Vaakanäkyvyys- ja pilvikorkeusolosuhteissa vertailupisteissä oli 10% havainnoista ennustettua huonompaa olosuhdetta, jos käytettiin vain GAFOR –ennusteen perusosaa lennonsuunnittelussa ja 6% havainnoista, jos käytettiin koko ennustetta. Ilma-aluksen päällikön on valvottava näkölento-olosuhteiden kehitystä lennon aikana ja varmistettava aina näkölento-olosuhteinen lentoreitti laskupaikalle. Lentosääennusteet ovat osa lentotoimintaa mahdollistavaa järjestelmää. Ennusteet hallitsevat vaihtelevasti olosuhteita ja luonnollisesti aiheuttavat ongelmallisia tilanteita. Käyttäjiä sitovat määräykset on luotu, jotta toiminta olisi turvallista. Laadukkaita ennusteita tarvitaan isoilla liikennepaikoilla lentoliikenteen kapasiteetin hallintaan. Pienillä lentopaikoilla laitevarustus ei vielä takaa lentotoimintaa kaikissa olosuhteissa. Näkölentotoimintaa harjoitetaan jatkuvasti sekä hyvissä että kohtalaisen huonoissa olosuhteissa.

Satelliitti-instrumentti IASI ja sen sovellukset sääpalvelulle

IASI on vuodesta 2007 käytössä ollut satelliitti-instrumentti Metop-polaarisatelliitissa. IASI-mittauksista johdettuja lopputuotteita ovat mm. lämpötilan ja kosteuden pystyprofiilit, pilven ylärajan lämpötila ja paine sekä eri hivenkaasujen pitoisuudet. Tämä työ on alkua IASI:n käyttöönotolle Ilmatieteen laitoksella. Työssä selvitetään IASI:n lämpötilaprofiileiden ja pilven ylärajan paineen soveltuvuutta sääpalvelulle vertailemalla niitä jo käytössä oleviin sääpalvelun työkaluihin. IASI-mittauksista johdettuja lämpötilaprofiileita verrataan Ilmatieteen laitoksen operatiivisiin pintaluotauksiin. Lisäksi tarkastellaan IASI:n lämpötilaprofiileiden vaikutusta paikallisen analyysi- ja ennustustyökalu LAPS:in lämpötila-analyysiin. IASI:n pilven ylärajan lämpötiloja verrataan AVHRR-radiometrista johdettuihin pilven ylärajan lämpötiloihin. IASI:sta ja AVHRR:stä johdetut keskimääräiset lämpötilat olivat lähes samat alapilville. Yläpilville ja osittain läpinäkyville cirrus-pilville lämpötilaero oli noin 5 Celsius-astetta. IASI:n lämpötilaluotaukset osoittautuivat käyttökelpoisiksi etenkin keski- ja ylätroposfäärissä (350 - 600 hPa), jossa IASI:n antama lämpötila erosi pintaluotauksen lämpötilasta vain noin +-1 Celsius-astetta. IASI:n lämpötilaluotausten suurin ongelma on mittausten katkeaminen pilven ylärajaan. IASI-luotauksilla oli suuri vaikutus LAPS-lämpötila-analyysiin mallin koko alueella, mutta vertailuaineiston puutteessa ei voida varmasti sanoa onko vaikutus positiivinen vai negatiivinen. Tulokset ovat lupaavia. IASI:n lämpötilaluotaukset ja pilven ylärajan lämpötila vaikuttavat käyttökelpoisilta sääpalvelun tarpeisiin.

Towards the Use of Radar Winds in Numerical Weather Prediction

Numerical weather prediction (NWP) models provide the basis for weather forecasting by simulating the evolution of the atmospheric state. A good forecast requires that the initial state of the atmosphere is known accurately, and that the NWP model is a realistic representation of the atmosphere. Data assimilation methods are used to produce initial conditions for NWP models. The NWP model background field, typically a short-range forecast, is updated with observations in a statistically optimal way. The objective in this thesis has been to develope methods in order to allow data assimilation of Doppler radar radial wind observations. The work has been carried out in the High Resolution Limited Area Model (HIRLAM) 3-dimensional variational data assimilation framework. Observation modelling is a key element in exploiting indirect observations of the model variables. In the radar radial wind observation modelling, the vertical model wind profile is interpolated to the observation location, and the projection of the model wind vector on the radar pulse path is calculated. The vertical broadening of the radar pulse volume, and the bending of the radar pulse path due to atmospheric conditions are taken into account. Radar radial wind observations are modelled within observation errors which consist of instrumental, modelling, and representativeness errors. Systematic and random modelling errors can be minimized by accurate observation modelling. The impact of the random part of the instrumental and representativeness errors can be decreased by calculating spatial averages from the raw observations. Model experiments indicate that the spatial averaging clearly improves the fit of the radial wind observations to the model in terms of observation minus model background (OmB) standard deviation. Monitoring the quality of the observations is an important aspect, especially when a new observation type is introduced into a data assimilation system. Calculating the bias for radial wind observations in a conventional way can result in zero even in case there are systematic differences in the wind speed and/or direction. A bias estimation method designed for this observation type is introduced in the thesis. Doppler radar radial wind observation modelling, together with the bias estimation method, enables the exploitation of the radial wind observations also for NWP model validation. The one-month model experiments performed with the HIRLAM model versions differing only in a surface stress parameterization detail indicate that the use of radar wind observations in NWP model validation is very beneficial.

Exploiting ground-based measurements of the Global Positioning System for numerical weather prediction

Data assimilation provides an initial atmospheric state, called the analysis, for Numerical Weather Prediction (NWP). This analysis consists of pressure, temperature, wind, and humidity on a three-dimensional NWP model grid. Data assimilation blends meteorological observations with the NWP model in a statistically optimal way. The objective of this thesis is to describe methodological development carried out in order to allow data assimilation of ground-based measurements of the Global Positioning System (GPS) into the High Resolution Limited Area Model (HIRLAM) NWP system. Geodetic processing produces observations of tropospheric delay. These observations can be processed either for vertical columns at each GPS receiver station, or for the individual propagation paths of the microwave signals. These alternative processing methods result in Zenith Total Delay (ZTD) and Slant Delay (SD) observations, respectively. ZTD and SD observations are of use in the analysis of atmospheric humidity. A method is introduced for estimation of the horizontal error covariance of ZTD observations. The method makes use of observation minus model background (OmB) sequences of ZTD and conventional observations. It is demonstrated that the ZTD observation error covariance is relatively large in station separations shorter than 200 km, but non-zero covariances also appear at considerably larger station separations. The relatively low density of radiosonde observing stations limits the ability of the proposed estimation method to resolve the shortest length-scales of error covariance. SD observations are shown to contain a statistically significant signal on the asymmetry of the atmospheric humidity field. However, the asymmetric component of SD is found to be nearly always smaller than the standard deviation of the SD observation error. SD observation modelling is described in detail, and other issues relating to SD data assimilation are also discussed. These include the determination of error statistics, the tuning of observation quality control and allowing the taking into account of local observation error correlation. The experiments made show that the data assimilation system is able to retrieve the asymmetric information content of hypothetical SD observations at a single receiver station. Moreover, the impact of real SD observations on humidity analysis is comparable to that of other observing systems.

On the behaviour of some physical parameterization methods in high-resolution numerical weather prediction models

Modern-day weather forecasting is highly dependent on Numerical Weather Prediction (NWP) models as the main data source. The evolving state of the atmosphere with time can be numerically predicted by solving a set of hydrodynamic equations, if the initial state is known. However, such a modelling approach always contains approximations that by and large depend on the purpose of use and resolution of the models. Present-day NWP systems operate with horizontal model resolutions in the range from about 40 km to 10 km. Recently, the aim has been to reach operationally to scales of 1 4 km. This requires less approximations in the model equations, more complex treatment of physical processes and, furthermore, more computing power. This thesis concentrates on the physical parameterization methods used in high-resolution NWP models. The main emphasis is on the validation of the grid-size-dependent convection parameterization in the High Resolution Limited Area Model (HIRLAM) and on a comprehensive intercomparison of radiative-flux parameterizations. In addition, the problems related to wind prediction near the coastline are addressed with high-resolution meso-scale models. The grid-size-dependent convection parameterization is clearly beneficial for NWP models operating with a dense grid. Results show that the current convection scheme in HIRLAM is still applicable down to a 5.6 km grid size. However, with further improved model resolution, the tendency of the model to overestimate strong precipitation intensities increases in all the experiment runs. For the clear-sky longwave radiation parameterization, schemes used in NWP-models provide much better results in comparison with simple empirical schemes. On the other hand, for the shortwave part of the spectrum, the empirical schemes are more competitive for producing fairly accurate surface fluxes. Overall, even the complex radiation parameterization schemes used in NWP-models seem to be slightly too transparent for both long- and shortwave radiation in clear-sky conditions. For cloudy conditions, simple cloud correction functions are tested. In case of longwave radiation, the empirical cloud correction methods provide rather accurate results, whereas for shortwave radiation the benefit is only marginal. Idealised high-resolution two-dimensional meso-scale model experiments suggest that the reason for the observed formation of the afternoon low level jet (LLJ) over the Gulf of Finland is an inertial oscillation mechanism, when the large-scale flow is from the south-east or west directions. The LLJ is further enhanced by the sea-breeze circulation. A three-dimensional HIRLAM experiment, with a 7.7 km grid size, is able to generate a similar LLJ flow structure as suggested by the 2D-experiments and observations. It is also pointed out that improved model resolution does not necessary lead to better wind forecasts in the statistical sense. In nested systems, the quality of the large-scale host model is really important, especially if the inner meso-scale model domain is small.

Turbulent vertical fluxes and air quality measured in urban air in Helsinki

There is a growing need to understand the exchange processes of momentum, heat and mass between an urban surface and the atmosphere as they affect our quality of life. Understanding the source/sink strengths as well as the mixing mechanisms of air pollutants is particularly important due to their effects on human health and climate. This work aims to improve our understanding of these surface-atmosphere interactions based on the analysis of measurements carried out in Helsinki, Finland. The vertical exchange of momentum, heat, carbon dioxide (CO2) and aerosol particle number was measured with the eddy covariance technique at the urban measurement station SMEAR III, where the concentrations of ultrafine, accumulation mode and coarse particle numbers, nitrogen oxides (NOx), carbon monoxide (CO), ozone (O3) and sulphur dioxide (SO2) were also measured. These measurements were carried out over varying measurement periods between 2004 and 2008. In addition, black carbon mass concentration was measured at the Helsinki Metropolitan Area Council site during three campaigns in 1996-2005. Thus, the analyzed dataset covered far, the most comprehensive long-term measurements of turbulent fluxes reported in the literature from urban areas. Moreover, simultaneously measured urban air pollution concentrations and turbulent fluxes were examined for the first time. The complex measurement surrounding enabled us to study the effect of different urban covers on the exchange processes from a single point of measurement. The sensible and latent heat fluxes closely followed the intensity of solar radiation, and the sensible heat flux always exceeded the latent heat flux due to anthropogenic heat emissions and the conversion of solar radiation to direct heat in urban structures. This urban heat island effect was most evident during winter nights. The effect of land use cover was seen as increased sensible heat fluxes in more built-up areas than in areas with high vegetation cover. Both aerosol particle and CO2 exchanges were largely affected by road traffic, and the highest diurnal fluxes reached 109 m-2 s-1 and 20 µmol m-2 s-1, respectively, in the direction of the road. Local road traffic had the greatest effect on ultrafine particle concentrations, whereas meteorological variables were more important for accumulation mode and coarse particle concentrations. The measurement surroundings of the SMEAR III station served as a source for both particles and CO2, except in summer, when the vegetation uptake of CO2 exceeded the anthropogenic sources in the vegetation sector in daytime, and we observed a downward median flux of 8 µmol m-2 s-1. This work improved our understanding of the interactions between an urban surface and the atmosphere in a city located at high latitudes in a semi-continental climate. The results can be utilised in urban planning, as the fraction of vegetation cover and vehicular activity were found to be the major environmental drivers affecting most of the exchange processes. However, in order to understand these exchange and mixing processes on a city scale, more measurements above various urban surfaces accompanied by numerical modelling are required.