High-Resolution Simulations of High-Impact Weather Systems Using the Cloud-Resolving Model on the Earth Simulator

2008 ◽  
pp. 141-156 ◽  
Author(s):  
Kazuhisa Tsuboki
Keyword(s):  
High Resolution ◽  
High Impact ◽  
The Earth ◽  
Cloud Resolving Model ◽  
High Impact Weather

scholarly journals Collaborative Efforts between the United States and United Kingdom to Advance Prediction of High-Impact Weather

2017 ◽  
Vol 98 (5) ◽  
pp. 937-948 ◽  
Author(s):  
John S. Kain ◽  
Steve Willington ◽  
Adam J. Clark ◽  
Steven J. Weiss ◽  
Mark Weeks ◽  
...  
Keyword(s):  
High Resolution ◽  
Prediction Models ◽  
Weather Prediction ◽  
The United States ◽  
High Impact ◽  
Historical Background ◽  
Weather Research And Forecasting ◽  
High Impact Weather ◽  
High Resolution Models ◽  
Collaborative Activities

Abstract In recent years, a growing partnership has emerged between the Met Office and the designated U.S. national centers for expertise in severe weather research and forecasting, that is, the National Oceanic and Atmospheric Administration (NOAA) National Severe Storms Laboratory (NSSL) and the NOAA Storm Prediction Center (SPC). The driving force behind this partnership is a compelling set of mutual interests related to predicting and understanding high-impact weather and using high-resolution numerical weather prediction models as foundational tools to explore these interests. The forum for this collaborative activity is the NOAA Hazardous Weather Testbed, where annual Spring Forecasting Experiments (SFEs) are conducted by NSSL and SPC. For the last decade, NSSL and SPC have used these experiments to find ways that high-resolution models can help achieve greater success in the prediction of tornadoes, large hail, and damaging winds. Beginning in 2012, the Met Office became a contributing partner in annual SFEs, bringing complementary expertise in the use of convection-allowing models, derived in their case from a parallel decadelong effort to use these models to advance prediction of flash floods associated with heavy thunderstorms. The collaboration between NSSL, SPC, and the Met Office has been enthusiastic and productive, driven by strong mutual interests at a grassroots level and generous institutional support from the parent government agencies. In this article, a historical background is provided, motivations for collaborative activities are emphasized, and preliminary results are highlighted.

scholarly journals A methodology to conduct wind damage field surveys for high-impact weather events of convective origin

2020 ◽  
Vol 20 (5) ◽  
pp. 1513-1531 ◽  
Author(s):  
Oriol Rodríguez ◽  
Joan Bech ◽  
Juan de Dios Soriano ◽  
Delia Gutiérrez ◽  
Salvador Castán
Keyword(s):  
Field Studies ◽  
High Impact ◽  
Strong Wind ◽  
Field Surveys ◽  
Weather Events ◽  
Straight Line ◽  
High Impact Weather ◽  
Strong Winds ◽  
Wind Events ◽  
The One

Abstract. Post-event damage assessments are of paramount importance to document the effects of high-impact weather-related events such as floods or strong wind events. Moreover, evaluating the damage and characterizing its extent and intensity can be essential for further analysis such as completing a diagnostic meteorological case study. This paper presents a methodology to perform field surveys of damage caused by strong winds of convective origin (i.e. tornado, downburst and straight-line winds). It is based on previous studies and also on 136 field studies performed by the authors in Spain between 2004 and 2018. The methodology includes the collection of pictures and records of damage to human-made structures and on vegetation during the in situ visit to the affected area, as well as of available automatic weather station data, witness reports and images of the phenomenon, such as funnel cloud pictures, taken by casual observers. To synthesize the gathered data, three final deliverables are proposed: (i) a standardized text report of the analysed event, (ii) a table consisting of detailed geolocated information about each damage point and other relevant data and (iii) a map or a KML (Keyhole Markup Language) file containing the previous information ready for graphical display and further analysis. This methodology has been applied by the authors in the past, sometimes only a few hours after the event occurrence and, on many occasions, when the type of convective phenomenon was uncertain. In those uncertain cases, the information resulting from this methodology contributed effectively to discern the phenomenon type thanks to the damage pattern analysis, particularly if no witness reports were available. The application of methodologies such as the one presented here is necessary in order to build homogeneous and robust databases of severe weather cases and high-impact weather events.

A role of high impact weather events in waterborne disease outbreaks in Canada, 1975 – 2001

2006 ◽  
Vol 16 (3) ◽  
pp. 167-180 ◽  
Author(s):  
Kate M. Thomas ◽  
Dominique F. Charron ◽  
David Waltner-Toews ◽  
Corinne Schuster ◽  
Abdel R. Maarouf ◽  
...  
Keyword(s):  
Disease Outbreaks ◽  
High Impact ◽  
Waterborne Disease ◽  
Weather Events ◽  
High Impact Weather

scholarly journals The alternative of CubeSat-based advanced infrared and microwave sounders for high impact weather forecasting

2019 ◽  
Vol 12 (2) ◽  
pp. 80-90 ◽  
Author(s):  
Zhenglong LI ◽  
Jun LI ◽  
Timothy J. SCHMIT ◽  
Pei WANG ◽  
Agnes LIM ◽  
...  
Keyword(s):  
Weather Forecasting ◽  
High Impact ◽  
High Impact Weather

scholarly journals Evaluating multi-scale precipitation forecasts using high resolution analysis

2010 ◽  
Vol 4 (1) ◽  
pp. 89-98 ◽  
Author(s):  
C. Wittmann ◽  
T. Haiden ◽  
A. Kann
Keyword(s):  
High Resolution ◽  
Deep Convection ◽  
Convective Precipitation ◽  
Structure Amplitude ◽  
Subjective Impression ◽  
Mean Values ◽  
High Resolution Analysis ◽  
Resolution Analysis ◽  
High Impact Weather ◽  
The Individual

Abstract. The SAL (Structure, Amplitude, Location) method is used for verification of precipitation forecasts at horizontal grid spacings ranging from 2.5 km to 25 km, using a high-resolution 1 km precipitation analysis as a reference. The verification focuses on a summertime period with predominantly convective precipitation. The verification domain contains lowland as well as alpine areas. Evaluation of the individual SAL components shows that with regard to area mean values (A) the benefit of high resolutions models becomes apparent only in high impact weather situations. For the summertime period studied, the subjective impression of better structured precipitation fields (S) in higher resolution models can generally be confirmed. The most significant improvement appears to be associated with explicit simulation of deep convection.

“Virtual” Atmospheric and Oceanic Circulation in the Earth Simulator

2007 ◽  
Vol 88 (6) ◽  
pp. 861-866 ◽  
Author(s):  
Wataru Ohfuchi ◽  
Hideharu Sasaki ◽  
Yukio Masumoto ◽  
Hisashi Nakamura
Keyword(s):  
High Resolution ◽  
The Other ◽  
Educational Community ◽  
Oceanic Circulation ◽  
Close Collaboration ◽  
Simulation Research ◽  
The Earth ◽  
Other Hand ◽  
Early Results

High-resolution simulations of the atmospheric and oceanic general circulations on the Earth Simulator are briefly introduced to a wider research and educational community. Some early results have been published and are reviewed in this article. The high-resolution simulations may have more information in certain aspects than observations while the simulations need to be validated. On the other hand, high-resolution observations in which uncertainties are unavoidable are now available. Possible close collaboration between observational and simulation research is proposed.

Multi-Scale Predictability of High-Impact Weather in the Battlespace Environment

2007 ◽  
Author(s):  
J. Doyle ◽  
C. Reynolds ◽  
J. McLay ◽  
T. Holt ◽  
J. Teixeira ◽  
...  
Keyword(s):  
High Impact ◽  
Multi Scale ◽  
High Impact Weather

scholarly journals Study of Monsoonal Features Using Regional Climate Model over Heterogeneous Monsoon Dominated Region

2019 ◽  
Vol 101 ◽  
pp. 03004
Author(s):  
Rohit Srivastava ◽  
Ruchita Shah
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Regional Scale ◽  
Actual Performance ◽  
The Earth ◽  
Wide Range ◽  
Resolution Model ◽  
High Resolution Model

Global warming is an increase in average global temperature of the earth which lead to climate change. Heterogeneity in the earth-atmosphere system becomes difficult to capture at low resolution (1°x1°) by satellite. Such features may be captured by using high resolution model such as regional climate model (0.5°x 0.5°). This type of study is quite important for a monsoon dominated country like India where Indo-Gangetic Plains (IGP) faces highest heterogeneity due to its geographic location. Present study compares high resolution model features with satellite data over IGP for monsoon season during a normal rainfall year 2010 to understand the actual performance of model. Almost whole IGP simulates relative humidity (RH) with wide range (~50-100%), whereas satellite shows it with narrow range (~60-80%) during September, 2010. Thus model is able to pick the features which were missed by satellite. Hence further model simulation extends over India and adjoining oceanic regions which simulates data of southwest monsoon with high (~70-100%) RH, high (~0.4-0.7) cloud fraction (CF) and low (~80-200 W/m2) outgoing longwave radiation (OLR) over Arabian Sea during June, 2010. Such type of study can be useful to understand heterogeneity at regional scale with the help of high resolution model generated data.

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