scholarly journals ESTUDO AVALIATIVO DA PREVISÃO NUMÉRICA DO TEMPO DE CURTO PRAZO PARA O MUNICÍPIO DE MACEIÓ/AL, UTILIZANDO O MODELO WRF

2020 ◽  
Vol 12 (6) ◽  
pp. 2121
Author(s):  
Rosiberto Salustiano Silva Junior ◽  
Bruno César Teixeira Cardoso ◽  
Hugo Cainã Ferreira Monteiro ◽  
Ewerton Hallan de Lima Silva
Keyword(s):  
Weather Forecast ◽  
Atmospheric Model ◽  
Weather Research And Forecasting ◽  
Atmospheric Models ◽  
Economic Activities ◽  
Land User ◽  
The City ◽  
Model Topography ◽  
Better Than ◽  
Weather Research

Sendo as diferentes atividades econômicas fortemente influenciadas pela condição do tempo, faz-se necessário antever com dias de antecedência a situação meteorológica favorável ou não para o cotidiano da sociedade. E os modelos atmosféricos são ferramentas amplamente utilizados para avaliar o estado futuro da atmosfera, neste contexto, avaliar a precisão das previsões realizadas por estas ferramentas, tem sido cada fez mais recorrente. Neste trabalho foi utilizado o modelo atmosférico WRF (Weather Research and Forecasting) para realizar previsões diárias com duração de 72h, durante o período de 10 a 19 de julho de 2017 para a cidade de Maceió/AL. Para validar as previsões foram utilizados os dados observados da estação meteorológica automática do INMET (Instituto Nacional de Meteorologia). Para este estudo também foi proposto a atualização da topografia e uso do solo da área de estudo em questão, que gerou melhorias nas comparações realizadas para todas as variáveis analisadas, em destaque a previsão da variável pressão atmosférica, quando atualizada a topografia houve sensíveis melhorias nos indicadores estatísticos em comparação aos demais testes que não contaram com mesma atualização. Além disso, as análises estatísticas e os gráficos apresentados comprovam que o modelo previu melhor para 24h do que para 48h e nesta sequência melhor que 72h, ou seja, existiu a depreciação das previsões com o aumento da duração das previsões. Study of the Efficiency of the Short-Term Numerical Forecast for the City of Maceió / Al, Using the WRF ModelA B S T R A C TThe different economic activities are strongly influenced by the condition of the weather, it is necessary to forecast with days in advance the meteorological situation favorable or not for the daily life of the society. The atmospheric models are tools widely used to assess the future state of the atmosphere, in this context, assess the accuracy of the forecasts made by these tools, has been each made more recurrent. In this work the atmospheric model WRF (Weather Research and Forecasting) was used to make daily forecasts with a duration of 72h during the period from July 10 to 19, 2017 for the city of Maceió / AL, to validate the forecasts were used the observed data of the INMET (National Meteorological Institute) automatic weather station. For this study it was also proposed to update the topography and land user of the study area, which generated improvements in the comparisons made for all variables analyzed, in particular the prediction of the variable atmospheric pressure, when updated the topography there were sensible improvements in statistical indicators compared to the other tests that did not have the same update. In addition, the statistical analyzes and the graphs presented show that the model predicted better for 24h than for 48h and in this sequence better than 72h, that is, there was depreciation of the forecasts with the increase of the forecast duration.Keywords: Weather Forecast, Atmospheric Model, Topography, Land User.

scholarly journals Regional Climate–Weather Research and Forecasting Model

2012 ◽  
Vol 93 (9) ◽  
pp. 1363-1387 ◽  
Author(s):  
Xin-Zhong Liang ◽  
Min Xu ◽  
Xing Yuan ◽  
Tiejun Ling ◽  
Hyun I. Choi ◽  
...  
Keyword(s):  
Weather Prediction ◽  
Regional Climate ◽  
Weather Forecast ◽  
Ecosystem Model ◽  
Climate Prediction ◽  
Weather Research And Forecasting ◽  
Forecasting Model ◽  
Physical Processes ◽  
Terrestrial Hydrology ◽  
Weather Research

The CWRF is developed as a climate extension of the Weather Research and Forecasting model (WRF) by incorporating numerous improvements in the representation of physical processes and integration of external (top, surface, lateral) forcings that are crucial to climate scales, including interactions between land, atmosphere, and ocean; convection and microphysics; and cloud, aerosol, and radiation; and system consistency throughout all process modules. This extension inherits all WRF functionalities for numerical weather prediction while enhancing the capability for climate modeling. As such, CWRF can be applied seamlessly to weather forecast and climate prediction. The CWRF is built with a comprehensive ensemble of alternative parameterization schemes for each of the key physical processes, including surface (land, ocean), planetary boundary layer, cumulus (deep, shallow), microphysics, cloud, aerosol, and radiation, and their interactions. This facilitates the use of an optimized physics ensemble approach to improve weather or climate prediction along with a reliable uncertainty estimate. The CWRF also emphasizes the societal service capability to provide impactrelevant information by coupling with detailed models of terrestrial hydrology, coastal ocean, crop growth, air quality, and a recently expanded interactive water quality and ecosystem model. This study provides a general CWRF description and basic skill evaluation based on a continuous integration for the period 1979– 2009 as compared with that of WRF, using a 30-km grid spacing over a domain that includes the contiguous United States plus southern Canada and northern Mexico. In addition to advantages of greater application capability, CWRF improves performance in radiation and terrestrial hydrology over WRF and other regional models. Precipitation simulation, however, remains a challenge for all of the tested models.

scholarly journals Avaliação da Qualidade do Ar (NO2, CO, O3) na Cidade de Maceió/AL Utilizando o Modelo Atmosférico WRF/CHEM (Evaluation of the air quality (NO2, CO, O3) of Maceió/AL using the atmospheric model WRF/CHEM)

2019 ◽  
Vol 12 (3) ◽  
pp. 801
Author(s):  
Marcones De Oliveira Silva ◽  
Rosiberto Salustiano da Silva Júnior
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Atmospheric Model ◽  
Sao Paulo ◽  
Weather Research And Forecasting ◽  
São Paulo ◽  
Land Use Patterns ◽  
Emissions Inventory ◽  
The One ◽  
Weather Research

Este trabalho tem como objetivo avaliar a qualidade do ar na cidade de Maceió-AL utilizando o modelo numérico de mesoescala WRF/CHEM (Weather Research and forecasting/Chemistry) durante o período de 23 a 25 de abril de 2011. O WRF/CHEM foi configurado para realizar quatro tipos de simulações: Default - simulação com a topografia e uso do solo padrões do modelo; Topo - simulação com a topografia atualizada e uso do solo padrão; IGBP - simulação com a topografia padrão e uso do solo atualizado e Topo_IGBP - simulação com a atualização da topografia e uso do solo. O inventário de emissões veiculares necessário para servir como dado de entrada no modelo foi construído de acordo com a metodologia proposta pela Companhia Ambiental do Estado de São Paulo (CETESB) onde se calculou as emissões totais em toneladas anuais de monóxido de carbono (CO), óxidos de nitrogênio (NOx), hidrocarbonetos não metano (NMHC) e material particulado (MP). O modelo WRF/CHEM foi executado com duas grades aninhadas com espaçamento de grade de 5 e 1 km. Os resultados obtidos mostraram que a resolução de 1 km obteve resultados melhores, em relação às observações, para as simulações de temperatura, umidade relativa e concentrações de dióxido de nitrogênio (NO2) do que os resultados obtidos pelas simulações utilizando a grade de 5 km, porém a variabilidade horária foi melhor representada pela resolução de 5 km. A simulação Topo foi a que apresentou melhor acurácia das simulações nas duas resoluções adotadas mostrando que a atualização da topografia é mais eficiente do que a atualização do uso do solo.Palavras-Chave: WRF/CHEM; inventário; topografia; uso do solo; resolução.   A B S T R A C TThis work aims to evaluate the air quality in the city of Maceió-AL using the numerical model of the WRF/CHEM (Weather Research and forecasting / Chemistry) during the period from April 23 to 25, 2011. The WRF/CHEM was configured to perform four types of simulations: Default - simulation with topography and land use patterns of the model; Topo - simulation with updated topography and standard soil use; IGBP - simulation with the standard topography and updated soil use and Topo_IGBP - simulation with updating topography and land use. The vehicle emissions inventory required to serve as input data in the model was constructed according to the methodology proposed by the Environmental Company of the State of São Paulo (CETESB) where the total emissions in annual tons of carbon monoxide (CO), nitrogen oxides (NOx), non-methane hydrocarbons (NMHC) and particulate matter (MP). The WR /CHEM model was run with two nested grids with grid spacing of 5 and 1 km. The results obtained showed that the resolution of 1 km obtained better results, relative to the observations, for the simulations of temperature, relative humidity and nitrogen dioxide (NO2) concentrations than the results obtained by the simulations using the 5 km grid, the hourly variability was best represented by the resolution of 5 km. The Topo simulation was the one that presented better accuracy of the simulations in the two adopted resolutions showing that the updating of the topography is more efficient than the update of the land use.Keywords: WRF/CHEM; inventory; topography; land use; resolution.

scholarly journals Community Support and Transition of Research to Operations for the Hurricane Weather Research and Forecasting Model

2015 ◽  
Vol 96 (6) ◽  
pp. 953-960 ◽  
Author(s):  
L. Bernardet ◽  
V. Tallapragada ◽  
S. Bao ◽  
S. Trahan ◽  
Y. Kwon ◽  
...  
Keyword(s):  
Multicomponent System ◽  
Community Support ◽  
Atmospheric Model ◽  
Ocean Model ◽  
Environmental Modeling ◽  
Weather Research And Forecasting ◽  
Forecasting Model ◽  
Developmental Cycle ◽  
Distributed Development ◽  
Weather Research

Abstract The Hurricane Weather Research and Forecasting Model (HWRF) is an operational model used to provide numerical guidance in support of tropical cyclone forecasting at the National Hurricane Center. HWRF is a complex multicomponent system, consisting of the Weather Research and Forecasting (WRF) atmospheric model coupled to the Princeton Ocean Model for Tropical Cyclones (POM-TC), a sophisticated initialization package including a data assimilation system and a set of postprocessing and vortex tracking tools. HWRF’s development is centralized at the Environmental Modeling Center of NOAA’s National Weather Service, but it incorporates contributions from a variety of scientists spread out over several governmental laboratories and academic institutions. This distributed development scenario poses significant challenges: a large number of scientists need to learn how to use the model, operational and research codes need to stay synchronized to avoid divergence, and promising new capabilities need to be tested for operational consideration. This article describes how the Developmental Testbed Center has engaged in the HWRF developmental cycle in the last three years and the services it provides to the community in using and developing HWRF.

scholarly journals EVAPOTRANSPIRAÇÃO DE REFERÊNCIA ESTIMADA PELO MÉTODO DE PENMAN-MONTEITH FAO-56 EM FUNÇÃO DAS SIMULAÇÕES DO MODELO ATMOSFÉRICO DE MESOESCALA WRF - WEATHER RESEARCH AND FORECASTING

Irriga ◽  
2015 ◽  
Vol 20 (4) ◽  
pp. 762-775
Author(s):  
José Leonaldo De Souza ◽  
Gustavo Bastos Lyra ◽  
Valesca Rodrigues Fernandes ◽  
Rosiberto Salustiano Silva-Junior ◽  
Guilherme Bastos Lyra ◽  
...  
Keyword(s):  
Mesoscale Model ◽  
Meteorological Data ◽  
Extreme Temperature ◽  
Wrf Model ◽  
Simulated Data ◽  
Absolute Error ◽  
Atmospheric Model ◽  
Atmospheric Modeling ◽  
Weather Research And Forecasting ◽  
Weather Research

EVAPOTRANSPIRAÇÃO DE REFERÊNCIA ESTIMADA PELO MÉTODO DE PENMAN-MONTEITH FAO-56 EM FUNÇÃO DAS SIMULAÇÕES DO MODELO ATMOSFÉRICO DE MESOESCALA WRF - WEATHER RESEARCH AND FORECASTING  JOSÉ LEONALDO DE SOUZA1; GUSTAVO BASTOS LYRA2; VALESCA RODRIGUES FERNADES1; ROSEBERTO SALUSTIANO DA SILVA JUNIOR1; GUILHERME BASTOS LYRA3; VINICIUS BANDA SPERLING1; RICARDO ARAUJO FERREIRA JUNIOR3 E IÊDO TEODORO3 1Instituto de Ciências Atmosférica (ICAT), Universidade Federal de Alagoas (UFAL), Campus A.C. Simões, Av. Lourival Melo Mota, s/n,  Tabuleiro dos Martins, CEP:57072-900, Maceió - AL, [email protected]/[email protected]/[email protected]/ [email protected] de Florestas, Dep. de Ciências Ambientais, Universidade Federal Rural do Rio de Janeiro, Seropédica - RJ, [email protected] de Ciências Agrarias (CECA), Universidade Federal de Alagoas (UFAL), Rio Largo - AL, [email protected]/[email protected]/[email protected]        1 RESUMO O objetivo do trabalho foi avaliar a estimativa da evapotranspiração de referência (ETo) pelo método de Penman-Monteith parametrizado no boletim FAO-56 (PM-FAO56) utilizando dados meteorológicos observados e os simulados pelo modelo atmosférico Weather Research and Forecasting (WRF). Na estimativa de ETo utilizaram-se dados meteorológicos observados (extremos da temperatura e umidade do ar, radiação solar e velocidade do vento) e simulados pelo WRF no período seco (janeiro a março e de outubro a dezembro de 2008) da região de Rio Largo - AL (9°28’02’’ S, 35º49’44’’ W e 127 m). As estimativas foram avaliadas pelo coeficiente de determinação (r2) entre ETo obtida com os dados observados e simulados, pelo índice de concordância de Willmott (dr) e pelo erro médio absoluto (MAE). O método PM-FAO56 apresentou maior sensibilidade ao saldo de radiação, em relação aos seus termos aerodinâmicos. As estimativas de ETo apresentaram baixa precisão (r2 = 0,41) e acurácia moderada (dr = 0,77 e MAE = 0,79 mm d-1). É necessário melhorar as simulações dos componentes de radiação do WRF para melhor estimar ETo pelo método de PM-FAO56 na região de Rio Largo, AL. Palavras Chave: Dados Meteorológicos, Modelagem Atmosférica, Penman-Monteith  DE SOUZA, J. L.; LYRA, G. B.; FERNADES,V. R.; SILVA-JUNIOR, R. S.; LYRA, G. B.; SPERLING, V. B.; FERREIRA JUNIOR, R. A.; TEODORO, I.REFERENCE EVAPOTRANSPIRATION BY PENMAN-MONTEITH METHOD  FAO56 USING THE ATMOSPHERIC MESOSCALE MODEL WRF- WEATHER RESEARCH AND FORECASTING    2 ABSTRACT The objective of this study was to assess the Reference evapotranspiration (ETo) by the Penman-Monteith method, described in FAO paper No 56 (PM-FAO56) using observed meteorological data and those simulated by the atmospheric model Weather Research and Forecasting (WRF).  For ETo estimate,  meteorological data were collected   (extreme temperature and air humidity, solar radiation and wind speed)   and  data were  simulated  by the WRF in the dry period (January to March and October to December 2008) in Rio Largo region, AL (9°28’02’’ S, 35º49’44’’ W and 127 m). The estimates were evaluated using the determination coefficient (r2) between ETo from observed and simulated data, by the Willmott concordance index (dr) and mean absolute error (MAE). The PM-FAO56 method showed higher sensitivity to net radiation in relation to the aerodynamic terms.  Estimates of ETo were of low precision (r2 = 0.41) and moderate accuracy (dr = 0.77 and MAE = 0.79 mm d-1). Simulations of the radiation components of the WRF model   have to be improved in order to better estimate ETo by the PM-FAO56 method for  the Rio Largo region,  AL. Keywords: Meteorological data, atmospheric modeling, Penman-Monteith.  

scholarly journals Evaluating Implementations of the Immersed Boundary Method in the Weather Research and Forecasting Model

2020 ◽  
Vol 148 (5) ◽  
pp. 2087-2109 ◽  
Author(s):  
Robert S. Arthur ◽  
Katherine A. Lundquist ◽  
David J. Wiersema ◽  
Jingyi Bao ◽  
Fotini K. Chow
Keyword(s):  
Shear Stress ◽  
Surface Velocity ◽  
Weather Research And Forecasting ◽  
Immersed Boundary ◽  
Atmospheric Models ◽  
Method Performance ◽  
Fine Grid ◽  
Near Surface ◽  
Ib Method ◽  
Weather Research

Abstract The terrain-following coordinate system used by many atmospheric models can cause numerical instabilities due to discretization errors as resolved terrain slopes increase and the grid becomes highly skewed. The immersed boundary (IB) method, which does not require the grid to conform to the terrain, has been shown to alleviate these errors, and has been used successfully for high-resolution atmospheric simulations over steep terrain, including vertical building surfaces. Since many previous applications of IB methods to atmospheric models have used very fine grid resolution (5 m or less), the present study seeks to evaluate IB method performance over a range of grid resolutions and aspect ratios. Two classes of IB algorithms, velocity reconstruction and shear stress reconstruction, are tested within the common framework of the Weather Research and Forecasting (WRF) Model. Performance is evaluated in two test cases, one with flat terrain and the other with the topography of Askervein Hill, both under neutrally stratified conditions. WRF-IB results are compared to similarity theory, observations, and native WRF results. Despite sensitivity to the location at which the IB intersects the model grid, the velocity reconstruction IB method shows consistent performance when used with a hybrid RANS/LES surface scheme. The shear stress reconstruction IB method is not sensitive to the grid intersection, but is less consistent and near-surface velocity errors can occur at coarse resolutions. This study represents an initial investigation of IB method variability across grid resolutions in WRF. Future work will focus on improving IB method performance at intermediate to coarse resolutions.

scholarly journals Sensitivity analysis and optimization of a mesoscale atmospheric model

2018 ◽  
Author(s):  
Χρήστος Γιάνναρος
Keyword(s):  
Sensitivity Analysis ◽  
Single Layer ◽  
Urban Canopy ◽  
Atmospheric Model ◽  
Weather Research And Forecasting ◽  
Urban Canopy Model ◽  
Mesoscale Atmospheric Model ◽  
Canopy Model ◽  
Weather Research

Η παρούσα διδακτορική διατριβή επικεντρώνεται στη αριθμητική προσομοίωση ακραίων θερμικών συνθηκών σε περιφερειακή και αστική κλίμακα. Ειδικότερα, ένα σύγχρονο μετεωρολογικό μοντέλο μέσης κλίμακας, το Weather Research and Forecasting (WRF), χρησιμοποιήθηκε με σκοπό την ανάλυση και βελτιστοποίηση της αποδοτικότητάς του στην προσομοίωση επεισοδίων καύσωνα και του φαινομένου της Αστικής Θερμικής Νησίδας (ΑΘΝ). Διάφορα πειράματα ευαισθησίας πραγματοποιήθηκαν κατά τη διάρκεια μιας σειράς τριών αριθμητικών μελετών. H πρώτη αριθμητική μελέτη έδειξε ότι η προσομοίωση καυσώνων στην μέση κλίμακα εξαρτάται σημαντικά από την α) παραμετροποίηση των συντελεστών επιφανειακής ανταλλαγής θερμότητας στα σχήματα παραμετροποίησης του στρώματος επιφάνειας, β) την προσομοίωση των ροών θερμότητας από τα μοντέλα επιφάνειας της γης, και γ) την παραμετροποίηση της κατακόρυφης ανάμειξης στα σχήματα παραμετροποίησης του ατμοσφαιρικού οριακού στρώματος. Τα αποτελέσματα της δεύτερης αριθμητικής μελέτης έδειξαν ότι η ακριβής και λεπτομερής αναπαράσταση των χρήσεων γης στα αστικά περιβάλλοντα είναι απαραίτητη για την αποτύπωση του φαινομένου της ΑΘΝ. Τέλος, η τρίτη αριθμητική μελέτη ανέδειξε τη σημασία των πολύπλοκων φυσικών διεργασιών που λαμβάνουν χώρα στις πόλεις και επηρεάζουν καταλυτικά την ενδο-αστική κατανομή των θερμοκρασιών. Για την σωστή αναπαράσταση αυτών των διεργασιών είναι η απαραίτητη η σύζευξη του μοντέλου WRF με το μοντέλο αστικού θόλου Single Layer Urban Canopy Model (SLUCM), χρησιμοποιώντας μια τροποποιημένη εξίσωση για τον υπολογισμό της θερμοκρασίας του αστικού εδάφους. Εξίσου απαραίτητη είναι η προσαρμογή των παραμέτρων επιφάνειας και αστική γεωμετρίας στην εκάστοτε περιοχή ενδιαφέροντος έτσι ώστε να επιτυγχάνεται η ρεαλιστική αναπαράσταση του αστικού περιβάλλοντος. Στο πλαίσιο αυτό, η ανάλυση ευαισθησίας που πραγματοποιήθηκε έδειξε ότι η δημιουργία και εξέλιξη της ΑΘΝ επηρεάζονται καθοριστικά από την ανακλαστικότητα των επιφανειών, την γεωμετρία των αστικών χαράδρων και το ποσοστό αστικής κάλυψης. Η εφαρμογή των βέλτιστων παραμέτρων για την Αθήνα οδήγησε στην σημαντική βελτίωση της απόδοσης του μοντέλου, με τις μειώσεις των θερμοκρασιακών αποκλίσεων να κυμαίνονται από 0.30 έως περίπου 1.60 βαθμούς κελσίου. Το γεγονός ότι οι παράμετροι που χρησιμοποιήθηκαν είναι σύμφωνες με τα πραγματικά χαρακτηριστικά της πόλης παρέχει την βεβαιότητα ότι το μοντέλο WRF έχει βελτιστοποιηθεί κάτω από την συγκεκριμένη διαμόρφωση και μπορεί να χρησιμοποιηθεί για την μελέτη και πρόγνωση της ΑΘΝ στην Αθήνα υπό τις συνθήκες ενός θερμότερου κλίματος στο μέλλον.

scholarly journals WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model

2013 ◽  
Vol 52 (1) ◽  
pp. 16-38 ◽  
Author(s):  
Janice L. Coen ◽  
Marques Cameron ◽  
John Michalakes ◽  
Edward G. Patton ◽  
Philip J. Riggan ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Wildland Fire ◽  
Weather Prediction ◽  
Fire Behavior ◽  
Atmospheric Model ◽  
Fire Intensity ◽  
Weather Research And Forecasting ◽  
Spread Rate ◽  
Near Surface ◽  
Weather Research

AbstractA wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Forecasting (WRF) public domain numerical weather prediction model. The fire module is a surface fire-behavior model that is two-way coupled with the atmospheric model. Near-surface winds from the atmospheric model are interpolated to a finer fire grid and are used, with fuel properties and local terrain gradients, to determine the fire’s spread rate and direction. Fuel consumption releases sensible and latent heat fluxes into the atmospheric model’s lowest layers, driving boundary layer circulations. The atmospheric model, configured in turbulence-resolving large-eddy-simulation mode, was used to explore the sensitivity of simulated fire characteristics such as perimeter shape, fire intensity, and spread rate to external factors known to influence fires, such as fuel characteristics and wind speed, and to explain how these external parameters affect the overall fire properties. Through the use of theoretical environmental vertical profiles, a suite of experiments using conditions typical of the daytime convective boundary layer was conducted in which these external parameters were varied around a control experiment. Results showed that simulated fires evolved into the expected bowed shape because of fire–atmosphere feedbacks that control airflow in and near fires. The coupled model reproduced expected differences in fire shapes and heading-region fire intensity among grass, shrub, and forest-litter fuel types; reproduced the expected narrow, rapid spread in higher wind speeds; and reproduced the moderate inhibition of fire spread in higher fuel moistures. The effects of fuel load were more complex: higher fuel loads increased the heat flux and fire-plume strength and thus the inferred fire effects but had limited impact on spread rate.

PERBANDINGAN SEBARAN CURAH HUJAN HASIL OBSERVASI SATELIT GPM DENGAN MODEL CUACA WRF (Studi Kasus: Siklon Tropis Cempaka Dan Dahlia, 27 Nov – 3 Des 2017)

2019 ◽  
Vol 3 ◽  
pp. 1063
Author(s):  
Fatkhuroyan Fatkhuroyan
Keyword(s):  
Weather Research And Forecasting ◽  
Precipitation Measurement ◽  
Global Precipitation Measurement ◽  
Global Precipitation ◽  
Japan Aerospace Exploration Agency ◽  
Weather Research

Satelit GPM (Global Precipitation Measurement) merupakan proyek kerjasama antara NASA (National Aeronautics and Space Administration) dan JAXA (Japan Aerospace Exploration Agency) serta lembaga internasional lainnya untuk membuat satelit generasi terbaru dalam rangka pengamatan curah hujan di bumi sejak 2014. Model Cuaca WRF (Weather Research and Forecasting) merupakan model cuaca numerik yang telah dipakai oleh BMKG (Badan Meteorologi Klimatologi dan Geofisika) untuk pelayan prediksi cuaca harian kepada masyarakat. Pada tanggal 27 November – 3 Desember 2017 telah terjadi bencana alam siklon tropis Cempaka dan Dahlia di samudra Hindia sebelah selatan pulau Jawa. Tujuan Penelitian ialah untuk mengetahui sebaran akumulasi curah hujan antara observasi satelit GPM dan model cuaca WRF, serta keakuratan model WRF terhadap observasi satelit GPM saat terjadinya bencana alam tersebut. Metode yang dipakai ialah dengan melakukan analisa meteorologi pertumbuhan terjadinya siklon tropis tersebut hingga terjadinya hujan sangat lebat secara temporal maupun spasial. Dari hasil analisa disimpulkan bahwa satelit GPM memiliki luasan sebaran curah hujan yang lebih kecil daripada sebaran hujan model cuaca WRF pada saat siklon tropis Cempaka dan Dahlia. Bias akumulasi sebaran hujan model cuaca WRF juga cukup bagus terhadap satelit GPM sehingga dapat dilakukan antisipasi dampak hujan lebat yang terjadi.

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