{"id":49868,"date":"2022-12-16T12:13:39","date_gmt":"2022-12-16T12:13:39","guid":{"rendered":"https:\/\/dev.metos.global\/?p=49868"},"modified":"2023-06-21T08:02:37","modified_gmt":"2023-06-21T08:02:37","slug":"farm-weather-talk-002","status":"publish","type":"post","link":"https:\/\/metos.global\/pt\/farm-weather-talk-002\/","title":{"rendered":"Farm Weather Talk #002 - Previs\u00e3o do tempo"},"content":{"rendered":"
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Precisamos de discutir as previs\u00f5es meteorol\u00f3gicas, uma vez que os impactos futuros do tempo no campo s\u00e3o t\u00e3o importantes, se n\u00e3o mais importantes, como as condi\u00e7\u00f5es actualizadas.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Farm Weather Talk #002 - Previs\u00f5es Meteorol\u00f3gicas<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Na primeira parcela de\u00a0Conversa sobre o tempo na quinta<\/strong><\/a><\/span>discutimos\u00a0o benef\u00edcio de uma esta\u00e7\u00e3o meteorol\u00f3gica de campo espec\u00edfica do local ou de um dispositivo IoT<\/strong> e como podem reduzir o \"risco incontrol\u00e1vel\" que os agricultores enfrentam com base no tempo at\u00e9 \u00e0 data, mas \u00e9 apenas metade da solu\u00e7\u00e3o meteorol\u00f3gica. A outra parte \u00e9 a previs\u00e3o. Sim, precisamos de discutir previs\u00f5es meteorol\u00f3gicas, uma vez que os impactos futuros do tempo no campo s\u00e3o t\u00e3o importantes, se n\u00e3o mais importantes, como as condi\u00e7\u00f5es actualizadas.<\/p>

\"Previs\u00f5es<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Pensa-se muitas vezes que as previs\u00f5es meteorol\u00f3gicas s\u00e3o notoriamente erradas; elas s\u00e3o repetidamente a fonte de muitas piadas.<\/h3>

Ent\u00e3o,\u00a0como \u00e9 poss\u00edvel ter previs\u00f5es precisas, espec\u00edficas do local, a n\u00edvel de campo<\/strong>? Tudo come\u00e7a com dados da esta\u00e7\u00e3o meteorol\u00f3gica a n\u00edvel de campo<\/a><\/span> e actualiza\u00e7\u00f5es r\u00e1pidas do modelo de previs\u00e3o. Vamos explorar como isto \u00e9 poss\u00edvel.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Cr\u00e9dito fotogr\u00e1fico: Mark Anderson<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Previs\u00f5es meteorol\u00f3gicas a n\u00edvel de campo espec\u00edficas do local<\/h3>

Actualmente, como muitas outras ind\u00fastrias, a capacidade de calcular grandes conjuntos de dados est\u00e1 a tornar-se mais f\u00e1cil e r\u00e1pida:\u00a0computa\u00e7\u00e3o em nuvem e custos de CPU baratos<\/strong>. Isto permite aos meteorologistas criar previs\u00f5es hor\u00e1rias espec\u00edficas de campo que se baseiam nas observa\u00e7\u00f5es meteorol\u00f3gicas da esta\u00e7\u00e3o espec\u00edfica de campo para os pr\u00f3ximos dias.<\/p>

Os dados do\u00a0esta\u00e7\u00e3o de campo<\/a><\/span>\u00a0ajuda a dar um empurr\u00e3o e a afinar a previs\u00e3o:\u00a0ajustar ao estado real registado no terreno<\/strong>. Al\u00e9m disso, a previs\u00e3o torna-se inteligente para o campo, aprendendo as condi\u00e7\u00f5es locais com a ajuda da IA (Intelig\u00eancia Artificial) para escolher a previs\u00e3o mais adequada para cada local, situa\u00e7\u00e3o, tempo e esta\u00e7\u00e3o do ano, em vez de uma abordagem de conjunto puro. Isto significa que escolhe a \"melhor\" previs\u00e3o e n\u00e3o a \"m\u00e9dia\" de todos (ou variantes de) modelos para fazer uma previs\u00e3o mais precisa do local espec\u00edfico.<\/p>

\"Previs\u00e3o<\/p>

\u00a0<\/h3>

meteoblue\u00ae<\/sup>-Pessl abordagem \u00e0 previs\u00e3o meteorol\u00f3gica espec\u00edfica de campo<\/h3>

Vamos quebrar isto toda a ci\u00eancia\/tecnologia para que fique claro porque \u00e9 que esta abordagem de previs\u00e3o \u00e9 melhor do que o que est\u00e1 dispon\u00edvel publicamente. Hoje em dia, a maioria das empresas meteorol\u00f3gicas ou governos oferecem previs\u00f5es baseadas numa cidade ou localiza\u00e7\u00e3o urbana que derivam de uma abordagem em grelha. Algumas ir\u00e3o utilizar uma grelha de 15, 10, 5 ou 1 km para gerar a previs\u00e3o, a qual \u00e9 chamada\u00a0redu\u00e7\u00e3o de escala para o local<\/strong>.<\/p>

O que h\u00e1 de \u00fanico no\u00a0meteoblue\u00ae<\/sup>Abordagem -Pessl<\/strong>\u00a0\u00e9 que eles\u00a0combinar os dados da esta\u00e7\u00e3o ao n\u00edvel do campo com a previs\u00e3o<\/strong>. Por outras palavras, a esta\u00e7\u00e3o fornece dados para dar um empurr\u00e3o e afinar a previs\u00e3o com base em observa\u00e7\u00f5es reais do terreno.<\/p>

Em detalhe, o\u00a0meteoblue Learning Multimodel (mLM)<\/strong>\u00a0\u00e9 uma nova t\u00e9cnica de p\u00f3s-processamento da produ\u00e7\u00e3o de v\u00e1rios modelos num\u00e9ricos de previs\u00e3o meteorol\u00f3gica usando medi\u00e7\u00f5es reais da esta\u00e7\u00e3o meteorol\u00f3gica, e intelig\u00eancia artificial (IA) para escolher os modelos mais adequados de at\u00e9 17 modelos para cada local, situa\u00e7\u00e3o meteorol\u00f3gica e esta\u00e7\u00e3o, em vez de uma abordagem em conjunto. Isto significa que escolhe a previs\u00e3o \"melhor\" e n\u00e3o a \"m\u00e9dia\" de todos (ou variantes de) modelos para fazer uma previs\u00e3o mais exacta espec\u00edfica do local.<\/p>

Essencialmente, o mLM AI aprende a meteorologia\/clima do\u00a0esta\u00e7\u00e3o espec\u00edfica de campo<\/a><\/span>\u00a0dentro de algumas semanas. O mLM tamb\u00e9m \u00e9 actualizado v\u00e1rias vezes por dia, o que proporciona uma correc\u00e7\u00e3o adicional \u00e0 previs\u00e3o espec\u00edfica do campo.<\/p>

Ok, discutimos a ci\u00eancia\/tecnologia melhorada utilizada para fornecer previs\u00f5es espec\u00edficas de campo, mas ser\u00e1 que isto melhora a precis\u00e3o das previs\u00f5es em compara\u00e7\u00e3o com o que est\u00e1 dispon\u00edvel publicamente? Com base na ci\u00eancia\/tecnologia utilizada para criar a previs\u00e3o do tempo a partir do mLM (meteoblue Learning Multimodel), a precis\u00e3o da previs\u00e3o atinge menos de 1,3\u00b0C de erro absoluto por hora nas primeiras 24 horas. Isto significa que mais do que 85% de previs\u00e3o de temperatura hor\u00e1ria ser\u00e1 inferior a 2\u00b0C fora. Durante as primeiras 12 horas, o erro absoluto \u00e9 inferior a 0,9\u00b0C.<\/p>

Para a previs\u00e3o da precipita\u00e7\u00e3o, 79% de eventos com >1 mm foram detectados com uma taxa de alarme falso de apenas 40%, atingindo um Heidke Skill Score de 0,49, superior a qualquer outro fornecedor.<\/p>

Al\u00e9m disso, a previs\u00e3o mLM foi avaliada em rela\u00e7\u00e3o a outros modelos de previs\u00e3o publicados e foi classificada como a previs\u00e3o n\u00famero 1 para precis\u00e3o em mais de 300 locais em todo o mundo, batendo todas as outras previs\u00f5es sobre precipita\u00e7\u00e3o, temperatura 11-h, e especificamente, n\u00famero 1 para temperatura nas primeiras 12 horas, empatado para o n\u00famero 1 para temperatura nas primeiras 24 horas, n\u00famero 1 para ponto de orvalho e velocidade do vento, e l\u00edder distante n\u00famero 1 para eventos de precipita\u00e7\u00e3o >1 mm em 24 horas.<\/p>

A abordagem mLM \u00e9 tamb\u00e9m a \u00fanica abordagem validada globalmente com resultados dispon\u00edveis publicamente, pelo que os clientes sabem o que podem esperar.<\/strong><\/p>

Como esperado, h\u00e1 uma precis\u00e3o significativa quando estes m\u00e9todos s\u00e3o aplicados, mas como qualquer modelo, \u00e9 uma previs\u00e3o e as previs\u00f5es mudar\u00e3o num curto espa\u00e7o de tempo e de espa\u00e7o. Por conseguinte, \u00e9 importante ter actualiza\u00e7\u00f5es de hora a hora. O que \u00e9 fundamental \u00e9 que o erro do modelo de previs\u00e3o seja atenuado pela aplica\u00e7\u00e3o desta abordagem.<\/p>

Noutros estudos, ao comparar uma previs\u00e3o espec\u00edfica do campo com a previs\u00e3o da cidade\/cidade mais pr\u00f3xima, com valores reais registados na esta\u00e7\u00e3o de campo, a melhoria pode variar de 35 a 65% para temperatura e precipita\u00e7\u00e3o durante 3 dias. Mais uma vez, isto reduz o erro na previs\u00e3o espec\u00edfica de campo, o que \u00e9 uma melhoria em rela\u00e7\u00e3o \u00e0s previs\u00f5es tradicionais.<\/p>

\"Previs\u00e3o<\/p>

\u00a0<\/h3>

O que significa tudo isto?<\/h3>

Isso significa que agora tem um previs\u00e3o de campo espec\u00edfico<\/a><\/span> que \u00e9 actualizado de hora a hora para os pr\u00f3ximos 7 dias, que \u00e9 altamente preciso e n\u00e3o se baseia na cidade mais pr\u00f3xima mas constru\u00eddo e corrigido com base na sua esta\u00e7\u00e3o de campo.<\/p>

Ent\u00e3o, o que fazemos com estas previs\u00f5es espec\u00edficas de campo?<\/h3>

Primeiro, d\u00e3o-nos uma vis\u00e3o das condi\u00e7\u00f5es de muitas opera\u00e7\u00f5es de campo, uma verifica\u00e7\u00e3o intestinal das decis\u00f5es que est\u00e3o a ser tomadas, como s\u00e3o os ventos favor\u00e1veis para\u00a0pulveriza\u00e7\u00e3o<\/a><\/span>\u00a0durante as pr\u00f3ximas 24, 48 ou 72 horas. As previs\u00f5es tamb\u00e9m s\u00e3o adicionadas em ferramentas\/solu\u00e7\u00f5es de planeamento de trabalho como janelas de sementeira e pulveriza\u00e7\u00e3o, condi\u00e7\u00f5es de colheita, capacidade de lavoura, acessibilidade do campo, nutri\u00e7\u00e3o vegetal.<\/p>

Estas solu\u00e7\u00f5es s\u00e3o janelas de hora em hora para as condi\u00e7\u00f5es de cada opera\u00e7\u00e3o. As previs\u00f5es espec\u00edficas do local tamb\u00e9m podem ser acrescentadas \u00e0\u00a0modelos de risco de doen\u00e7a<\/a><\/span>que fornece ent\u00e3o uma previs\u00e3o das condi\u00e7\u00f5es futuras das pr\u00f3ximas 24, 48 ou 72 horas. \u00c9 claro que a previs\u00e3o do rendimento pode tamb\u00e9m basear-se numa previs\u00e3o futura, mas esta utiliza uma m\u00e9dia a longo prazo e\/ou uma previs\u00e3o ajustada sazonalmente para fazer uma estimativa sobre o potencial de abastecimento de \u00e1gua para a previs\u00e3o do rendimento durante a \u00e9poca de crescimento.<\/p>

Na imagem abaixo, os dados da esta\u00e7\u00e3o meteorol\u00f3gica espec\u00edfica do campo s\u00e3o combinados com os dados altamente precisos\u00a0previs\u00e3o de campo espec\u00edfico<\/a><\/span>\u00a0para produzir uma janela de pulveriza\u00e7\u00e3o de protec\u00e7\u00e3o de plantas espec\u00edficas do campo.<\/p>

\"Janela<\/p>

Na imagem seguinte, a proposta de valor da previs\u00e3o e esta\u00e7\u00e3o espec\u00edficas do campo \u00e9 claramente ilustrada, uma vez que tem agora a capacidade de conhecer as condi\u00e7\u00f5es antes de ir para o campo, uma janela avan\u00e7ada de hora a hora sobre as condi\u00e7\u00f5es durante os pr\u00f3ximos 7 dias e a produ\u00e7\u00e3o hor\u00e1ria prevista para importantes vari\u00e1veis meteorol\u00f3gicas de rajada de vento, precipita\u00e7\u00e3o, humidade relativa e\u00a0delta T<\/a><\/span>.<\/p>

\"Proposta<\/p>

Ao decidir\u00a0COMPRAR UMA ESTA\u00c7\u00c3O DE \u00c1GUA ou DISPOSITIVO IoT<\/strong><\/a><\/span>\u00a0para a sua quinta\/campo,\u00a0incluir sempre o campo espec\u00edfico de hora a hora\u00a0previs\u00e3o do tempo<\/a><\/span><\/strong>. A esta\u00e7\u00e3o e a previs\u00e3o devem ser pensadas como manteiga de amendoim e geleia, andam de m\u00e3os dadas com as decis\u00f5es de gest\u00e3o agr\u00edcola.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Explorar a previs\u00e3o do tempo<\/h3>

O tempo quase em tempo real e hist\u00f3rico \u00e9 importante para compreender o que est\u00e1 a afectar as culturas. O tempo ou previs\u00f5es meteorol\u00f3gicas futuras s\u00e3o importantes para o planeamento e actividades futuras. As previs\u00f5es meteorol\u00f3gicas de alta precis\u00e3o podem ajud\u00e1-lo a organizar o seu dia e a reduzir e optimizar as suas decis\u00f5es de gest\u00e3o.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tCLIQUE PARA EXPLORAR<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Curioso de o ver funcionar? Experimente-o.<\/h3>

METOS esta\u00e7\u00e3o meteorol\u00f3gica virtual VWS<\/a><\/span> \u00e9 um parceiro indispens\u00e1vel para qualquer pessoa que tome diariamente decis\u00f5es dependentes do tempo. METOS VWS um m\u00eas de teste inclui 1 coloca\u00e7\u00e3o coordenada, licen\u00e7a de previs\u00e3o do tempo (para 1 m\u00eas) e ferramentas de planeamento do trabalho.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tVISITAR A LOJA METOS<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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J\u00e1 um METOS\u00ae<\/sup>\u00a0utilizador?<\/h3>

Activar a subscri\u00e7\u00e3o da previs\u00e3o para um ano e obter dados meteorol\u00f3gicos quase reais e hist\u00f3ricos para uma melhor compreens\u00e3o do impacto das culturas e para melhor planear as suas actividades futuras. Poupe tempo, dinheiro e recursos.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\u00c0 PREVIS\u00c3O DO TEMPO<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Sobre o Autor:<\/em>
Guy Ash tem trabalhado como agro-meteorologista e especialista em ci\u00eancia da observa\u00e7\u00e3o da terra durante os \u00faltimos 30 anos. Actualmente, \u00e9 o Global Training and Key Accounts Manager no Canad\u00e1 para o Pessl Instruments, \u00c1ustria. Pessl Instrument \u00e9 uma empresa de IoT que fabrica hardware (registadores e sensores) e solu\u00e7\u00f5es de software que se concentram no sector agr\u00edcola. Trabalhamos em mais de 85 pa\u00edses e temos mais de 70.000 dispositivos e 700.000 sensores implantados para uma vasta gama de aplica\u00e7\u00f5es agr\u00edcolas: gest\u00e3o de doen\u00e7as, irriga\u00e7\u00e3o, humidade do solo, armadilhas para insectos, c\u00e2maras de colheitas, esta\u00e7\u00f5es meteorol\u00f3gicas, fertilidade do solo, etc. Uma das suas fun\u00e7\u00f5es \u00e9 fornecer forma\u00e7\u00e3o global para uma extensa lista de solu\u00e7\u00f5es de IOT para uma grande variedade de culturas - arroz, trigo, soja, laranjas, milho, canola, forragens, uvas, frutas e vegetais, etc.<\/p>

\"Avatar-Guy\"<\/p>

Guy Ash,<\/center>
METOS\u00ae<\/sup> Gestor de Forma\u00e7\u00e3o Global<\/center>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tVOLTAR A TODAS AS ENTRADAS DO BLOGUE<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

We need to discuss weather forecasts, since the future impacts of weather on the field are as important, if not more important, as the conditions up to date. Farm Weather Talk #002 – Weather Forecasts In the first installment of\u00a0Farm Weather Talk, we discussed\u00a0the benefit of a site-specific field weather station or IoT device and […]<\/p>\n","protected":false},"author":2,"featured_media":49869,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"off","ocean_gallery_id":[],"footnotes":""},"categories":[2,154],"tags":[410,411,384,412,413,414,32,259,415,416,417,418,419,16,393,391,322,275,420,263,402],"class_list":["post-49868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-pessl-blog","tag-disease-risk-models","tag-downscaling","tag-farm-management","tag-field-operations","tag-field-specific-forecast","tag-heidke-skill-score","tag-iot-solutions","tag-iot-weather-solutions","tag-learning-multimodel","tag-meteoblue","tag-meteorological-variables","tag-mlm-approach","tag-mlm-forecast","tag-pessl-instruments","tag-precipitation","tag-relative-humidity","tag-weather-forecast","tag-weather-solution","tag-work-planning-solutions","tag-work-planning-tools","tag-yield-prediction","entry","has-media"],"yoast_head":"\nFarm Weather Talk #002 - Weather Forecasting - METOS by Pessl Instruments<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/metos.at\/farm-weather-talk-002\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Farm Weather Talk #002 - Weather Forecasting - METOS by Pessl Instruments\" \/>\n<meta property=\"og:description\" content=\"We need to discuss weather forecasts, since the future impacts of weather on the field are as important, if not more important, as the conditions up to date. 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