Evaluation of Tropical Rainfall Measuring Mission, Integrated Multi‐satellite Retrievals for GPM, Climate Hazards Centre InfraRed Precipitation with Station data, and European Centre for Medium‐Range Weather Forecasts Reanalysis v5 data in estimating precipitation and capturing meteorological droughts over Iran

2021 ◽  
Author(s):  
Mohammad Sadegh Keikhosravi‐Kiany ◽  
Seyed Abolfazl Masoodian ◽  
Robert C. Balling ◽  
Mohammad Darand
Keyword(s):  
Tropical Rainfall Measuring Mission ◽  
Tropical Rainfall ◽  
Weather Forecasts ◽  
European Centre ◽  
Station Data ◽  
Satellite Retrievals ◽  
Medium Range ◽  
Climate Hazards ◽  
Meteorological Droughts

scholarly journals Downscaling Dinâmico sobre o Nordeste do Brasil Utilizando um Modelo Climático Regional: Impacto de Diferentes Parametrizações na Precipitação Simulada (Dynamic Downscaling over Northeast Brazil Using a Regional Climate Model: Impact of Different ...)

2013 ◽  
Vol 6 (4) ◽  
pp. 995 ◽  
Author(s):  
Vanessa De Almeida Dantas ◽  
Ana Cleide Bezerra Amorim ◽  
Micejane Da Silva Costa ◽  
Cláudio Moisés Santos e Silva
Keyword(s):  
Large Scale ◽  
Tropical Rainfall Measuring Mission ◽  
Rainfall Simulation ◽  
Cumulus Parameterization ◽  
Scale Model ◽  
Dynamic Downscaling ◽  
Tropical Rainfall ◽  
Weather Forecasts ◽  
European Centre ◽  
Medium Range

Estudos utilizando modelos regionais na realização de downscaling dinâmico tem se mostrado adequado para reproduzir a escala local de uma região. Neste sentido, o presente estudo teve como objetivo analisar a sensibilidade de simulação da precipitação para o ano de 2009 na região do Nordeste Brasileiro (NEB) utilizando três esquemas de parametrização cumulus disponíveis no modelo RegCM4, a saber: Anthes Kuo (Kuo), Grell com fechamento Fristish Chappell (GFC) e MIT-Emmanuel (EM). Como condição inicial e de contorno de grande escala foram usadas informações do modelo European Centre for Medium-Range Weather Forecasts (ECMWF), especificamente o produto ERA_interim. Dados do projeto Tropical Rainfall Measuring Mission (TRMM) foram usados para a avaliação da precipitação simulada. Testes e parâmetros estatísticos foram usados como métrica na avaliação das simulações. Verificou-se que o modelo consegue representar de forma adequada a precipitação quando comparada aos dados do TRMM. Os experimentos que mais se aproximaram das observações foram GFC e EM. O RegCM4 subestimou a precipitação no NEB no início de março e superestimando em meados de julho. Entretanto, é possível afirmar que o modelo é capaz de reproduzir bem a variabilidade do clima, na região do NEB, após alguns ajustes utilizando diferentes tipos parametrizações para os trópicos. ABSTRACT Studies using regional models in performing dynamic downscaling have been adequate to reproduce the local scale of a region. In this sense, the present study aimed to analyze the sensitivity of rainfall simulation for the year 2009 in the Brazilian Northeast (NEB) using three cumulus parameterization schemes available in RegCM4 model, namely: Anthes Kuo (Kuo) Grell closure Fristish Chappell (GFC), and MIT-Emmanuel (EM). As a condition of initial and boundary large scale model information were used European Centre for Medium-Range Weather Forecasts (ECMWF), specifically the product ERA_interim. Project data Tropical Rainfall Measuring Mission (TRMM) were used for the evaluation of simulated rainfall. Testing and statistical parameters were used as a metric in evaluating simulations. It was found that the model can adequately represent the precipitation compared with data from TRMM. The experiments that came closer to the observations were GFC and EM. The RegCM4 underestimated precipitation in the NEB in early March and overestimating in mid-July. However, we can say that the model is able to reproduce well the climate variability in the region of the NEB, after some adjustments using different parameterizations for the tropics. Keywords: RegCM4, Kuo, Grell, Emanuel

Hochaufgelöste Simulation von meteorologischen Feldern in urbanen Räumen mit dem Weather Research and Forecasting (WRF) Modell

2021 ◽  
Author(s):  
Lukas N. Pilz ◽  
Sanam N. Vardag ◽  
Joachim Fallmann ◽  
André Butz
Keyword(s):  
Greenhouse Gas ◽  
Monitoring System ◽  
Weather Research And Forecasting ◽  
Gas Monitoring ◽  
Weather Forecasts ◽  
European Centre ◽  
Medium Range ◽  
Erste Ergebnisse ◽  
Weather Research

<p><span>Städte und Kommunen sind für mehr als 70% </span><span>der globalen, fossilen CO2-Emissionen</span><span> verantwortlich, sodass hier ein enormes Mitigationspotential besteht. Informationen über (inner-)städtische CO2-Emissionen stehen allerdings oft nicht </span><span>in hoher zeitlicher und räumlicher Auflösung</span><span> zur Verfügung und sind </span><span>meist</span><span> mit großen Unsicherheiten behaftet. Diese Umstände erschweren eine zielgerichtete und effiziente Mitigation im urbanen Raum. </span><span>Städtische Messnetzwerke können als unabhängige Informationsquelle einen Beitrag leisten, um CO2-Emissionen in Städten zu quantifizieren und Mitigation zu verifizieren</span><span>. </span><span>Verschiedene denkbare Beobachtungsstrategien sollten</span><span> im Vorfeld abgewägt werden, um urbane Emissionen bestmöglich, d.h. mit der erforderlichen Genauigkeit und </span><span>Kosteneffizienz</span><span> zu quantifizieren. So können Messnetzwerke die Basis für zielgerichtete und kosteneffiziente Mitigation legen.</span></p><p><span>Im Rahmen des Verbundvorhabens „Integrated Greenhouse Gas Monitoring System for Germany“ (ITMS) werden wir verschiedene Beobachtungsstrategien für urbane Räume entwerfen und mit Hilfe von Modellsimulation evaluieren und abwägen. Notwendige Voraussetzung für </span><span>die Evaluation der Strategien</span><span> ist eine akkurate Repräsentation des atmosphärischen Transports im Modell.</span></p><p><span>Diese Studie zeigt</span><span> erste Ergebnisse der hochauflösenden (1kmx1km) meteorologischen Simulationen für den Rhein-Neckar-Raum mit dem WRF Modell. </span><span>Die in WRF simulierten meteorologischen Größen werden für verschiedene Modellkonfigurationen mit </span><span>re-analysierten Daten des European Centre for Medium-Range Weather Forecasts (ECMWF) und ausgewählten Messstationen verglichen. Damit evaluieren wir </span><span>den Einfluss unterschiedlicher Nudging-Strategien, Parametrisierungen physikalischer Prozesse und urbaner Interaktionen</span><span> auf </span><span>die Modellperformance</span> <span>von</span><span> Lufttemperatur, Windrichtung, Windgeschwindigkeit und Grenzschichthöhe. Durch diese Analysen gewährleisten wir, dass die Simulation der Beobachtungsstrategien auf robuste</span><span>m</span><span> und realistische</span><span>m</span><span> atmosphärischen Transport basieren und schlussendlich repräsentative Empfehlungen für den Aufbau von Messnetzwerken liefern können. </span></p>

Evaluierung des nichthydrostatischen mesoskaligen Modells GRAMM-SCI anhand der Richtlinie VDI 3783 Blatt 7/Evaluation of the nonhydrostatic mesoscale model GRAMM-SCI based on the guideline VDI 3783 Part 7

Gefahrstoffe ◽  
2020 ◽  
Vol 80 (07-08) ◽  
pp. 318-324
Author(s):  
D. Öttl
Keyword(s):  
Mesoscale Model ◽  
Weather Forecasts ◽  
European Centre ◽  
Medium Range

Aufgrund der komplexen Orografie in den Alpen sind einfache, auf diagnostischen Ansätzen beruhende Windfeldmodelle in Österreich kaum anwendbar. Daher wird in den meisten österreichischen Bundesländern das mesoskalige Modell GRAMM im Rahmen von Luftschadstoffuntersuchungen eingesetzt. In diesem Beitrag werden Ergebnisse der Modellevaluierung anhand jener drei Datensätze der Richtlinie VDI 3783 Blatt 7 präsentiert, die auf teils umfangreichen Messkampagnen basieren. Das Modell GRAMM wurde mittlerweile erweitert (Version GRAMM-SCI) und kann nun auch mit den Reanalysedaten ERA5 des Europäischen Wetterdienstes (European Centre for Medium-Range Weather Forecasts, ECMWF) angetrieben werden. Um die Qualität der ERA5-Daten zu prüfen, wurden zusätzliche Simulationen für die drei Evaluierungsdatensätze aus VDI 3783 Blatt 7 durchgeführt. Es zeigt sich, dass Modellsimulationen mit GRAMM-SCI, die auf ERA5-Daten basieren, die Strömungs- und Temperaturverhältnisse grundsätzlich gut wiedergeben. Allerdings sind die Abweichungen zu den Messungen der Sondermesskampagnen teilweise etwas zu groß, um die hohen Anforderungen von VDI 3783 Blatt 7 an die Modellergebnisse vollständig zu erfüllen.

scholarly journals CARACTERIZAÇÃO ATMOSFÉRICA QUANDO DA OCORRÊNCIA DE EVENTOS EXTREMOS DE CHUVA NA REGIÃO SUL DE MINAS GERAIS

2017 ◽  
Vol 21 ◽  
Author(s):  
Michelle Simões Reboita ◽  
Diogo Malagutti Gonçalves Marietto ◽  
Amanda Souza ◽  
Marina Barbosa
Keyword(s):  
Climate Prediction ◽  
Minas Gerais ◽  
Weather Forecasts ◽  
European Centre ◽  
Medium Range ◽  
Climate Prediction Center

O objetivo deste estudo é apresentar uma descrição das características da atmosfera que contribuíram para elevados totais de precipitação no sul de Minas Gerais e que foram precursores de dois episódios de inundação e alagamento na cidade de Itajubá: um em 16 de janeiro de 1991 e outro em 02 de janeiro de 2000. Para tanto, foram utilizados dados do Climate Prediction Center e da reanálise ERA-Interim do European Centre for Medium-Range Weather Forecasts (ECMWF). Entre os resultados, têm-se que os episódios de inundação e alagamento ocorridos na cidade de Itajubá, em ambos os anos, estiveram associados à atuação da Zona de Convergência do Atlântico Sul, que se estendia da Amazônia, passando pelo sudeste do Brasil, e chegava ao Atlântico Sul.

scholarly journals An “island” in the stratosphere – on the enhanced annual variation of water vapour in the middle and upper stratosphere in the southern tropics and subtropics

2017 ◽  
Vol 17 (18) ◽  
pp. 11521-11539 ◽  
Author(s):  
Stefan Lossow ◽  
Hella Garny ◽  
Patrick Jöckel
Keyword(s):  
Water Vapour ◽  
Atmospheric Chemistry ◽  
Annual Variation ◽  
Trace Gases ◽  
Michelson Interferometer ◽  
Full Account ◽  
Weather Forecasts ◽  
European Centre ◽  
Atmospheric Sounding ◽  
Medium Range

Abstract. The amplitude of the annual variation in water vapour exhibits a distinct isolated maximum in the middle and upper stratosphere in the southern tropics and subtropics, peaking typically around 15° S in latitude and close to 3 hPa (∼  40.5 km) in altitude. This enhanced annual variation is primarily related to the Brewer–Dobson circulation and hence also visible in other trace gases. So far this feature has not gained much attention in the literature and the present work aims to add more prominence. Using Envisat/MIPAS (Environmental Satellite/Michelson Interferometer for Passive Atmospheric Sounding) observations and ECHAM/MESSy (European Centre for Medium-Range Weather Forecasts Hamburg/Modular Earth Submodel System) Atmospheric Chemistry (EMAC) simulations we provide a dedicated illustration and a full account of the reasons for this enhanced annual variation.

scholarly journals Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years

Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 858
Author(s):  
Di Zeng ◽  
Jinkui Wu ◽  
Yaqiong Mu ◽  
Mingshan Deng ◽  
Yanqiang Wei ◽  
...  
Keyword(s):  
Thermal Environment ◽  
Linear Trend ◽  
Temporal Variations ◽  
Reanalysis Data ◽  
Climate Index ◽  
Positive Trend ◽  
Growth Trend ◽  
Weather Forecasts ◽  
European Centre ◽  
Medium Range

This paper investigated the spatial and temporal variations of the Universal Thermal Climate Index (UTCI) of the China-Pakistan Economic Corridor (CPEC) from 1979 to 2018. The European Centre for Medium-Range Weather Forecasts Re-Analysis-Interim (ERA-Interim) reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) is selected for UTCI calculation in the region and analyzed by a linear trend and correlation analysis. The results showed that (1) the UTCI of CPEC is decreased with the increase of latitude and altitude. There is obvious spatial heterogeneity in the seasonal scale and the spatial distribution of different thermal stress categories. (2) UTCI generally exhibited a positive trend of 0.33 °C/10a over the past 40 years, and the seasonal variation characteristics of UTCI show an upward trend in all four seasons, of which spring is the fastest. On the space scale, the growth trend has significant spatial variations. (3) Temperature has a positive correlation with UTCI. The influence of temperature on UTCI is greater than that of wind speed. The results of this study will be helpful for regional planning and also contribute to comprehending the characteristics of the thermal environment in CPEC.

Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation

2009 ◽  
Vol 114 (D13) ◽  
Author(s):  
A. Benedetti ◽  
J.-J. Morcrette ◽  
O. Boucher ◽  
A. Dethof ◽  
R. J. Engelen ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Forecast System ◽  
Weather Forecasts ◽  
European Centre ◽  
Aerosol Analysis ◽  
Medium Range ◽  
System 2
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