|
|
|
|
|
|
|
Basic understanding |
|
| 1.06 |
Keith |
Browning |
|
University of Reading |
United Kingdom |
|
Nowcasting : A bit of
history and some thoughts on the importance of basic
understanding |
IO |
| 1.02 |
Sophie |
Bastin |
|
NCAR |
USA |
|
Numerical investigation of
the multi-scale processes inducing convection
initiation for the IHOP_2002 case study 12 June 2002 |
O |
| 1.10 |
Christopher |
Davis |
|
National Center for Atmospheric
Research |
USA |
|
Convection Initiation Near
Mesoscale Vortices |
O |
| 1.13 |
Jong-Dao Ben |
Jou |
|
National Taiwan University |
Taiwan |
|
Nowcasting problem in a
subtropical area with complex terrain : lesson
learned from a flash flood case |
O |
| 1.16 |
Marek |
Kašpar |
|
Institute of Atmospheric Physics
ASCR |
Czech Republic |
|
Numerical simulations of
convective events ¯ the effect of propagating gust
fronts |
O |
| 1.17 |
Peter |
Lean |
|
Univ. of Reading |
United Kingdom |
|
Quantifying error growth
during convective initiation in a mesoscale model |
O |
| 1.23 |
C. U. |
Okoloye |
|
Nigerian Meteorological Agency |
Nigeria |
|
A case study of
thunderstorm forecasting in West Africa |
O |
| 1.24 |
Christian |
PAGÉ |
|
Université du Québec à Montréal
(UQAM) |
Canada |
|
Nonlinear balance at
mesoscale : balances vertical motion with respect
to model convection temperature tendecies, A real case study at 2.5 KM |
O |
| 1.28 |
Stan |
Trier |
|
NCAR |
USA |
|
Understanding and
Forecasting Elevated Deep Convection |
O |
| 1.01 |
Juma |
Al-Maskari |
|
University of Leeds |
United Kingdom |
|
A study of orographic
convection over the Hajar mountainsin Northern Oman |
P |
| 1.03 |
Renzo |
Bechini |
|
ARPA Piemonte |
Italy |
|
development of convective
cells over Northern Italy observed by polarimetric
C-band radar |
P |
| 1.04 |
Thierry |
Bergot |
|
Météo-France |
France |
|
Single-column high
resolution numerical models for fog and low cloud
: the Paris-CdG intercomparison exercice |
P |
| 1.05 |
Sigalit |
Berkovic |
|
IIBR |
|
The land breeze
characteristics in Israel during the summer by the MM5 model. |
P |
| 1.07 |
Mauricio |
Carrillo Cruz |
|
Servicio Nacional de Meteorología e
Hidrología |
Peru |
|
Influence of sea - land
breezes on extreme rainfall in the northern of PERU |
P |
| 1.08 |
Dehui |
Chen |
|
|
China |
|
A flash flooding case study
with a HIR GRAPES_Meso at CMA |
P |
| 1.09 |
Roberto |
Cremonini |
|
ARPA Piemonte, ISAC-CNR |
Italy |
|
Initiation of convective storm over
Northern Italy observed by satelitte and
polarimetric C-band radar |
P |
| 1.12 |
Wen-don |
Hu |
|
Key Laboratory of Meteorological
Disaster Preventing and Reducing |
China |
|
Detail information of
mechanism, kinematics and topographic effect on a
sandstorm from satellite data in Ningxia for very short range forecasting |
P |
| 1.14 |
Fengqin |
Kang |
|
Lanzhou Institute of Arid
Meteorology |
China |
|
Probe the hail formation
mechanism on the northeastern border of Qinghai-Xizang
Plateau and its neighbourhood |
P |
| 1.15 |
Fengqin |
Kang |
|
Cold and Arid Regions Environmental
and Engineering Research Institute |
China |
|
Validation and development
of a new hailstone formation theory. Simulation on
a strong hailstorm process on northeastearn border of Qinghai-Tibetain
Plateau |
P |
| 1.18 |
C. |
Liu |
|
Chinese Academy of Meteorological
Sciences |
China |
|
A new technique for
forecasting the strength of a storm |
P |
| 1.19 |
Dongyan |
Mao |
|
National Meteorological Centre,
China Meteorological Administration |
China |
|
An analysis of mesoscale
features in a heavy rainfall process on 10 July
2004 in Beijing |
P |
| 1.20 |
Patrick |
Mukunguta |
|
Zimbabwe Meteorological
Services |
Zimbabwe |
|
Basic Understanding of
mesoscale dynamics in 0-6 hour time frame |
P |
| 1.21 |
Minde |
Ngakougnon |
|
Direction des ressources en eau et
de la Météorologie |
Tchad |
|
Résumé succint des travaux
sur le vent de sable au Nord du Tchad |
P |
| 1.22 |
Meng-song
|
Nong |
|
CMA, Guangxi Meteorological
Observatory |
China |
|
Characteristic analysis of
a squall in Huanan region |
P |
| 1.25 |
Ehab Abdel |
Razik |
|
Egyptian Meteorological
Authority-Egypt |
Egypt |
|
Case study: A heavy rain event due to the movement of
cloud clusters from the tropics to the north of
Africa |
P |
| 1.26 |
Sarfaraz |
Sardar |
|
Pakistan Meteorological Department |
Pakistan |
|
Nowcasting and
Very-short-range Forecasting |
P |
| 1.27 |
Aurora |
Stan-Sion |
|
National Administration of Meteorology, Bucharest |
Roumania |
|
Severe convection
environment in southeastern Romania |
P |
| 1.29 |
Friedrich |
Wölfelmaier |
|
ZAMG |
Austria |
|
Life cycle of convective
cells with rapid scan Satellite and radar data in
the eastern alpine region |
P |
| 1.30 |
Zhifang |
Wu |
|
Guangzhou Central Observatory |
China |
|
The Researches on the Local
Very-Short -Range Torrential Rains Occurred in the
Warm Sector |
P |
| 1.31 |
Zhang |
Xiying |
|
Weather Modification Center of
Heilongjiang province |
China |
|
Analysis of CINRAD-CC echoes characteristics for local
short timem heavy rainfall in Harbin on July 10th |
P |
| |
|
|
|
|
|
|
|
Nowcasting techniques |
|
| 2.32 |
Alan |
Seed |
|
Bureau of Meteorology Research
Centre |
Australia |
|
Short Term Ensemble
Prediction System (STEPS): an empirical treatment
of forecast unmcertainty |
IO |
| 2.42 |
Isztar |
Zawadzki |
|
McGill University |
Canada |
|
Nowcasting of Precipitation |
IO |
| 2.01 |
David |
Ahijevych |
|
NCAR |
USA |
|
Tracking and Forecasting
Precipitation Episodes in the NCWF-2 AutoNowcaster |
O |
| 2.07 |
John |
Cook |
|
Naval Research Laboratory |
USA |
|
The naval research
laboratory nowcast system |
O |
| 2.13 |
Thomas |
Haiden |
|
Central Institute for Meteorology
and Geodynamics |
Austria |
|
Prediction of convective
cell initiation in mountainous terrain using a high-resolution
analysis system |
O |
| 2.14 |
Alessandro |
Hering |
|
MeteoSwiss |
Switzerland |
|
Nowcasting thunderstorms in
complex cases using radar data |
O |
| 2.15 |
Harri |
Hohti |
|
Finnish Meteorological Institute |
Finland |
|
Radar based ensemble
nowcasting of precipitation |
O |
| 2.19 |
Luiz |
Machado |
|
CPTEC/INPE |
Brazil |
|
Convective system area
expansion - High-level wind divergence and vertical
velocity : a tool for nowcasting |
O |
| 2.22 |
John |
Mecikalski |
|
University of Alabama in Huntsville |
USA |
|
Geostationary
satellite-based methods for nowcasting total lightning flash rates, convective initiation and convective cloud
properties |
O |
| 2.26 |
Ralph |
Petersen |
|
CIMSS |
USA |
|
An Objective Nowcasting
Tool that Optimizes the Impact of Frequent Observations
in Short-Range Forecasts |
O |
| 2.27 |
Clive |
Pierce |
|
Met Office |
United Kingdom |
|
Development of A stochastic
precipitation nowcast scheme for flood forecasting
and warning |
O |
| 2.33 |
Zbynek |
Sokol |
|
Institute of Atmospheric
Physics AS CR |
Comparison of several
methods for probabilistic forecasting of locally-heavy
rainfall in the 0-3 hour timeframe. |
O |
| 2.38 |
James |
Wilson |
|
NCAR |
USA |
|
Combining radar echo
extrapolation and NWP techniques for 1-6 H convective
storm forecasts |
O |
| 2.41 |
Gang |
Xu |
|
Colorado State University |
USA |
|
radar storm motion
estimation and beyond: a spectral algorithm and Radar
observation based dynamic model. |
O |
| 2.02 |
Frédéric |
Autones |
|
Météo-France |
France |
|
Tuning the Rapid
Developping Thunderstorm Product for Meteosat Second Generation, and Comparing to GOES-EAST and to Rapid Scan Service |
P |
| 2.03 |
Pierre |
Bourgouin |
|
EC/SMC/CMC |
Canada |
|
Developpement of an extrapolation
component for a nowcasting module for aviation
(TAftools) at CMC |
P |
| 2.04 |
John Bjørnar |
Bremnes |
|
Norwegian Meteorological Institute |
Norway |
|
Probabilistic forecasts of
rare visibility events using neural networks |
P |
| 2.05 |
Lawrence |
Brown |
|
Meteorological Service |
Jamaica |
|
Shprt Range forecast using
fluctuations in Geopotential heights |
P |
| 2.06 |
Huaqing |
Cai |
|
National Center for Atmospheric
Research, Boulder |
USA |
|
Enhancements of the NCAR
Auto-Nowcast System by Using ASAP and NRL
Satellite Products |
P |
| 2.08 |
Jianhua |
Dai |
|
CMA/Shanghai Meteorological Center |
China |
|
Application of Doppler
Radar and Mesoscale Model Output in Convection
Nowcasting |
P |
| 2.09 |
Feddoul |
El ouazzany |
|
Direction
de la Météorologie Nationale du Maroc |
Maroc |
|
Image radar prevue par
extrapolation du champ des deplacements (IRAPED) |
P |
| 2.10 |
|
Endarwin |
|
Meteorological And Geophysical
Agency Indonesia |
Indonesia |
|
Improvement of Detection
Atmosphere Instability in Micro Scale Area by
Using Simple Wind Model Analysis |
P |
| 2.11 |
Y. |
Feng |
|
Guangdong Meteorological
Observatory, CMA |
China |
|
On an Algorithm of
Convective Weather Potential in the Early Flood Season
of the Pear River Delta, China |
P |
| 2.12 |
Neil I. |
Fox |
|
University of Missouri – Columbia |
USA |
|
Intercomparisons of
Nowcasts using different systems |
P |
| 2.43 |
Günther |
Haase |
|
Swedish Meteorological and
Hydrological Institute (SMHI) |
Sweden |
|
Mesoscale cloud analysis
for nowcasting using mesan |
P |
| 2.16 |
Rudolf |
Kaltenböck |
|
Austrocontrol |
Austria |
|
Nowcasting of thunderstorms
using mesoscale modified low level wind shear. |
P |
| 2.17 |
Hana |
Kyznarova |
|
Czech Hydrometeorological Institute |
Czech Republic |
|
Development of
cell-tracking algorithm in Czech Hydrometeorological Institute |
P |
| 2.18 |
Pay-Liam |
Lin |
|
Institute of Atmospheric Physics,
National Central UNiversity |
Taiwan |
|
The radar rainfall estimate
for different precipitation systems in Taiwan |
P |
| 2.20 |
Roberto |
Machado |
|
UNESP |
Brazil |
|
Nowcasting with neural
network using reflectivity images of meteorological
radar |
P |
| 2.21 |
Francisco |
Martín León |
|
Instituto Nacional de Meteorología |
Spain |
|
Recent Progress in
convective phenomena monitoring and forecasting at
the INM |
P |
| 2.23 |
Ernani |
Nascimento |
|
INSTITUTO TECNOLÓGICO SIMEPAR |
Brazil |
|
Very short range prediction
of convective storm motion in Brazil utilizing
mesoscale model output |
P |
| 2.24 |
Ahmad Abu |
Obeid |
|
Jordan Meteorological Department |
Jordania |
|
A software for better
management of Offenbach and Meteo-France product |
P |
| 2.25 |
Ramon |
Pascual |
|
Instituto Nacional de Meteorologia |
Spain |
|
Convective storm initiation
in western Catalonia: Characteristics and uncertainties
of the methodology used. |
P |
| 2.28 |
Virginia |
Poli |
|
ARPA-SIM |
Italy |
|
Preliminary results of the
comparison of two advection methods |
P |
| 2.29 |
Silvia |
Puca |
|
Servizio Meteorologico Aeronautica
Militare |
Italy |
|
Improvements on numerical
"object" detection and Nowcasting of convective
cell with the use of SEVIRI data (IR and WV channels) and neural techniques |
P |
| 2.30 |
Stevie |
Roquelaure |
|
Météo-France |
France |
|
Predictability of fog and
low clouds |
P |
| 2.31 |
Thomas |
Saxen |
|
NCAR |
USA |
|
Determining key predictors
for NCAR's Convective Auto-Nowcast system using
climatological analyses |
P |
| 2.34 |
Chien Wan THAM
|
THAM |
|
The National Environment Agency |
Singapore |
|
A prototype system to
nowcast weather based on statistics |
P |
| 2.35 |
Ricardo |
Valenti |
|
|
Argentina |
|
Objective short-term alert
advising based on signatures of severe weather
confirmed cases using radar |
P |
| 2.36 |
Daniel |
Vila |
|
INA |
France |
|
A techniique of forecasting
and tracking of active convective cells : an application
to mesoscale convective systems over Del Plata basin |
P |
| 2.37 |
Yingchun |
Wang |
|
China Meteorological Administration |
China |
|
Joint development of
convection nowcast system to support Beijing 2008
Olympics between BMB and NCAR |
P |
| 2.39 |
Tanja
|
Winterrath |
|
Deutscher Wetterdienst |
Germany |
|
A new method for the nowcasting of
stratiform precipitation using radar data and the horizontal wind field of the german
lokal modell (LM) |
P |
| 2.40 |
Zhifang |
Wu |
|
Guangzhou Central Observatory |
China |
|
The Nowcasting Method and
Results of Very-short-rang Heavy Rain Occurred in
The Pearl River Delta Area |
P |
| 2.44 |
Olivier |
Liechti |
|
A & K |
Switzerland |
|
Short term NWP with mass
flux boundary layer models. |
|
| 2.45 |
Anna |
Ivanova |
|
Hydrometeorological Research Centre of Russia |
Russia |
|
Freezing precipitation in the airports in Russia and the Ukraine |
|
| |
|
|
|
|
|
|
|
Data assimilation |
|
| 3.05 |
François |
Bouttier |
|
Météo-France |
France |
|
The potential of data
assimilation for nowcasting promises and limits of
3-D variational approach |
IO |
| 3.02 |
Sue |
Ballard |
|
Met Office |
United Kingdom |
|
Development of 1-4KM resolutation data assimilation for
nowcasting at the Met Office |
O |
| 3.03 |
Hans-Stefan |
Bauer |
|
Institut für
Physik und Meteorologie |
Germany |
|
Assimilation of high
resolution dial water vapor data into the MM5 modeling
system: Comparison of the performance of different assimilation methods |
O |
| 3.06 |
Keith |
Brewster |
|
Center for Analysis and Prediction
of Storms, Univ. of Oklahoma |
USA |
|
Efficient Assimilation of
Radar Data at High Resolution or Short-range
Numerical Weather Prediction |
O |
| 3.08 |
Shu-Hua |
Chen |
|
University of California, Davis |
USA |
|
Improvement of short-term
severe weather forecasting using high-resolution
MODIS satellite data. |
O |
| 3.10 |
Luc |
Fillion |
|
Meteorological Service of Canada |
Canada |
|
Balanced coupling between
vertical motion and diabatic forcing for mesoscale
data assimilation |
O |
| 3.11 |
Rod |
Frehlich |
|
NCAR |
USA |
|
Adaptive Data Assimilation
to Include Spatially Variable Observation Error
Statistics |
O |
| 3.14 |
Wen-dong |
Hu |
|
Key Laboratory of Meteorological
Disaster Preventing and Reducing |
China |
|
A non-linear
retrieval-variational assimilation study and experiment on convection in Ningxia using GMS infrared data for
operational scheme in provincial service |
O |
| 3.15 |
Geneviève |
Jaubert |
|
Météo-France |
France |
|
Meso-gamma 3D Var
assimilation of surface measurements on heavy rain
events: Impact on short range high resolution simulations. |
O |
| 3.20 |
Andrea |
Rossa |
|
Centro Meteorologico Teolo |
Italy |
|
Evaluation of the Latent
heat nudging scheme for the rainfall assimilation
at the meso-gamma scale |
O |
| 3.21 |
Soichiro |
Sugimoto |
|
NCAR |
USA |
|
Potential benefits of
multiple-doppler radar data to quantative precipitation
forecasting : assimilation of simulated data using the WRF 3DVAR SYSTEM |
O |
| 3.01 |
Qingnong Xiao |
Xiao |
|
NCAR |
USA |
|
Assimilation of doppler
radar observations using wrf/mm5 3d-var system and
its impact on short-range QPF |
O |
| 3.23 |
Qingyun |
Zhao |
|
US Naval Research Laboratory |
USA |
|
Improving very-short-term
storm prediction by assimilating radar and satellite
data into a mesoscale NWP model |
O |
| 3.04 |
Benedikt |
Bica |
|
Department of Meteorology and
Geophysics, University of Vienna |
Austria |
|
High Resolution Analysis
and Nowcasting over Complex Terrain by using
Physical a priori Knowledge |
P |
| 3.07 |
Dong-Eon |
Chang |
|
Meteorological Research Institute
/KMA |
Korea |
|
Application of a diabatic
initialization method to the warm season precipitation
forecast |
P |
| 3.09 |
N. Andrew |
Crook |
|
National Center for Atmospheirc
Research |
USA |
|
Very short range
forecasting of precipitation comparing NWP and extrapolation techniques |
P |
| 3.12 |
Rod |
Frehlich |
|
NCAR |
USA |
|
The importance of
small-scale turbulence for data assimilation |
P |
| 3.13 |
Paul |
Harasti |
|
University Corporation for
Atmospheric Research |
USA |
|
radar data quality control
for the Naval Research Laboratory NOWCAST system |
P |
| 3.16 |
Eric |
Kemp |
|
Northrop Grumman IT TASC |
|
Enhancements to a
three-dimensional cloud analysis scheme |
P |
| 3.17 |
Yaodong |
Li |
|
Institute of Atmospheric
Sciences,Chinese Academy of Sciences |
China |
|
Very short range numerical
simulation with ARPS associated with moisture and
adiabatic initialization |
P |
| 3.19 |
Pramod |
Mahajan |
|
Indian Institute of Tropical
Meteorology |
India |
|
Improvement in very short
range forecast of tropical |
P |
| 3.22 |
Zhongfeng |
Zhang |
|
Air Traffic Management Bureau of
CAAC |
China |
|
Airport weather nowcasting
using AMDAR data |
P |
| |
|
|
|
|
|
|
|
Observational needs |
|
| 4.32 |
Silas |
Michaelides |
|
Meteorological Service, Nicosia |
Cyprus |
|
Activities on short-range
forecasting methods of fog, visibility and low clouds
in EU Cost action 722 |
IO |
| 4.33 |
G. K. |
Ramothwa |
|
Meteorological Service |
Botswana |
|
Nowcasting and very short
range forecasting issues in Africa |
IO |
| 4.04 |
Geoff |
Austin |
|
Atmospheric Physics Group,
University of Auckland |
New Zealand |
|
Nowcasting orographic
rainfall : the effects of microphysical processes |
O |
| 4.08 |
Walter |
Dabberdt |
|
Vaisala, CIRES, and Univ. Oklahoma |
USA |
|
Multi-functional mesoscale
observing networks in support of integrated
forecasting system |
O |
| 4.12 |
Steve |
Goodman |
|
NASA Marshall Space Flight Center |
USA |
|
PRE-launch GOES-R Risk
Reduction activities for the geostationary lightning
mapper |
O |
| 4.14 |
Julie |
Haggerty |
|
NCAR |
USA |
|
Integration of advanced
satellite cloud products into an icing nowcasting
system |
O |
| 4.15 |
O. |
Kryvobok |
|
Ukrainian Hydrometeorological
Research Institute |
Ukraine |
|
Using Meteosat second
generation high resolution visible data for the improvement
of the rapid developping thunderstorm product |
O |
| 4.17 |
Daniel |
Leuenberger |
|
MeteoSwiss |
Switzerland |
|
next generation NWP AT
meteoswiss AND potential contributions OF Weather
radars |
O |
| 4.25 |
Scott |
Swerdlin |
|
NCAR |
USA |
|
Combining mesoscale,
nowcast, and CFD model output in near real-time
for protecting urban areas and buildings from releases of hazardous airborne
materials |
O |
| 4.26 |
Pierre |
Tabary |
|
Météo France |
France |
|
The new french operational
convetional radar products |
O |
| 4.28 |
Steven |
Vasiloff |
|
U.S. Dept. of Commerce
NOAA/National Severe storms Laboratory |
USA |
|
The National Mosaic and
Quantitative precipitation estimation (NMQ) system:
A realtime platform to develop and test new NOAA QPE and short term QPF
applications |
O |
| 4.29 |
Tammy |
Weckwerth |
|
NCAR |
USA |
|
Scales of features
influencing convection initiation on 12 June 2002 during
IHOP_2002 |
O |
| 4.03 |
Bogdan |
Antonescu |
|
National Administration of Meteorology, Bucharest |
Roumania |
|
Some operational aspects of
using lightning data in forecasting of severe
storms |
P |
| 4.05 |
Mamoudou |
Ba |
|
NOAA |
USA |
|
Monitoring the storm
environment using goes derived products for operational
warnings and nowcasts of convective weather |
P |
| 4.06 |
Perapol |
BEGKHUNTOD |
Thai Meteorological Department |
Thailand |
|
Comparisons of Gauge and Satellite Rain Estimates for
Thailand During September 1998 |
P |
| 4.07 |
Hector |
Chikoore |
|
Meteorological Services Department |
Zimbawe |
|
Towards more effective
monitoring and prediction of high impact weather
systems in Southern Africa |
P |
| 4.01 |
Michael |
Coniglio |
|
NCAR |
USA |
|
Impact of in-situ surface
observations and multiple doppler radar observations
on the storm-scale analysis and prediction of mesoscale convective system |
P |
| 4.09 |
Nicholas |
Demetriades |
|
Vaisala Inc. |
|
Long-range lightning
nowcasting applications for aviation and meteorology |
P |
| 4.10 |
Rod |
Frehlich |
|
NCAR |
USA |
|
Lidar derived profiles of
boundary layer winds and turbulence for assimilation
into nowcasting and forecasting models |
P |
| 4.11 |
Uta |
Gjertsen |
|
Norwegian Meteorological Institute |
Norway |
|
Radar data quality the
challenge of beam blockages and propagation changes |
P |
| 4.13 |
Jonathan |
Gourley |
|
Météo-France, DSO, Centre de
Météorologie Radar |
France |
|
Particle identification
using the Meteo-France C-Band polarimetric radar |
P |
| 4.16 |
Dong-Kyou |
Lee |
|
Seoul National University |
Korea |
|
An observational study of
heavy rainfall with mesoscale convective systems
over the Korean Peninsula |
P |
| 4.18 |
Jean-Francois |
Mahfouf |
|
Meteorological Service of Canada |
Canada |
|
Development of a Canadian
Precipitation Analysis (CaPA) |
P |
| 4.19 |
Patrick |
Minnis |
|
NASA Langley Research Center |
USA |
|
Near Real-Time Satellite
Cloud Products for Nowcasting Applications |
P |
| 4.20 |
Marcia Cristina da Silva |
Moraes |
|
R. S.Tenório2, L. C. B. Molion3 |
Brazil |
|
Z-R Relationship for
eastern coast of northeastern Brazil |
P |
| 4.21 |
Martin |
Murphy |
|
Vaisala Inc |
|
The role of total lightning
in thunderstorm nowcasting |
P |
| 4.22 |
Jani |
Poutiainen |
|
Finnish Meteorological Institute |
Finland |
|
Helsinki testbed : a four
season mesoscale research and development facility |
P |
| 4.23 |
Tomeu |
Rigo |
|
Meteocat |
Spain |
|
Combining lightning and
radar data to improve the nowcasting of summer
thunderstorms |
P |
| 4.24 |
Vladimir A |
Shutov |
|
Valday Branch of the State
Hydrological Institute |
Russia |
|
Special Processing of the
Radar Precipitation Data for Hydrological Forecasting |
P |
| 4.27 |
Ricardo Sarmento |
Tenório |
|
Sistema de Radar Meteorológico de
Alagoas |
Brazil |
|
Raindrop size distribution
over eastern coast of northeastern Brazil |
P |
| 4.30 |
Andreas |
Wirth |
|
ZAMG |
Austria |
|
Day/night-time low cloud
detection using different spectral |
P |
| 4.02 |
Volker |
Wulfmeyer |
|
Institute of Physics and
Meteorology |
Germany |
|
The role of future field
campaigns for advancing short-range weather forecasting |
P |
| 4.31 |
Yong Jun |
Zhu |
|
Tianshui Weather Bureau |
China |
|
Astudy of distinguishing
hail cloud |
P |
| |
|
|
|
|
|
|
|
Applications |
|
| 5.14 |
Roman |
Krzysztofowicz |
University of Virginia |
USA |
|
Probabilistic hydrological forecasting
for short range |
IO |
| 5.36 |
Willi |
Schmid |
Meteoradar GMBH |
Switzerland |
|
New approaches for nowcasting winter
road weather over a complex |
IO |
| 5.05 |
Katia |
Chancibault |
|
Météo-France |
France |
|
evaluation of a non
hydrostatic mesoscale model for discharge forecasting. |
O |
| 5.06 |
J. William |
Conway |
|
Weather Decision
Technologies |
|
Applications of the McGill
algorithm for precipitation nowcasting using semi-lagrangian
extrapolation within the Arpav hydromet decision support system |
O |
| 5.10 |
Neil I. |
Fox |
|
University of Missouri – Columbia |
USA |
|
Forecasting storm duration |
O |
| 5.13 |
George |
Isaac |
|
Meteorological Service of Canada |
Canada |
|
Nowcasting ariport winter
weather : avisa tests during airs |
O |
| 5.15 |
Robert |
Kuligowski |
|
NOAA/NESDIS/Office of Research and
Applications |
USA |
|
The Hydro-Nowcaster:
Recent Improvements and Future Plans |
O |
| 5.20 |
Ryohei |
Misumi |
|
National Research Institute for
Earth Science and Disaster Prevention |
Japan |
|
Realtime forecasting of
shallow landslides using radar-derived rainfall |
O |
| 5.26 |
James |
Pinto |
|
NCAR/RAL |
USA |
|
Toward developing a new operational system for the short
term prediction of convection: Fusing observation-
and model-based probability forecasts |
O |
| 5.28 |
Robert |
Sharman |
|
NCAR |
USA |
|
The operational prediction
of mountain wave turbulence using a multi-nested
nonhydrostatic mesoscale model |
O |
| 5.30 |
Nathan |
Uhlenbrock |
|
University of Wisconsin - Madison |
USA |
|
The Use of Satellite Water
Vapor Imagery and Model Data to Diagnose and
Forecast Turbulent Mountain Waves |
O |
| 5.31 |
Steve |
Weygandt |
|
NOAA Forecast Systems Laboratory |
USA |
|
Hourly ruc convective
probability forecasts using ensembles and radar
assimilation |
O |
| 5.33 |
Cory |
Wolff |
|
National Center for Atmospheric
Research (NCAR) |
USA |
|
Nowcasting aircraft icing
conditions using goes-derived satellite products |
O |
| 5.34 |
M. |
Wolfson |
|
MIT Lincoln Laboratory |
USA |
|
Tactical 0-2 Hour
Convective Weather Forecasts for FAA |
O |
| 5.02 |
Alan Peixoto |
Calheiros |
|
Dept. de Meteorologia/Universidade
Federal de Alagoas |
Brazil |
|
Severe weather events over
northeastern Brasil : the January 2004 event |
P |
| 5.03 |
Regina |
Cepaityte |
|
Aviation Institute of the Vilnius
Gediminas Technical University |
Lithuania |
|
Thunderstorms and other
convective phenomena in terminal maneuvering areas
of aerodromes and en route in Lithuanian airspace |
P |
| 5.04 |
Jan |
Cermak |
|
Univ. of Marburg, Lab. for
Climatology and Remote Sensing |
Germany |
|
Satellite-Based Nowcasting
of Fog and Low Stratus |
P |
| 5.07 |
F. |
Elizaga |
|
Instituto Nacional Meteorología |
Spain |
|
Nowcasting Applications for
aeronautical purposes |
P |
| 5.08 |
Wayne |
Feltz |
|
University of Wisconsin-Madison |
USA |
|
Overview of ASAP Satellite
Derived Aviation Hazard Products at the University
of Wisconsin CIMSS: Turbulence, Convection, Volcanic Ash, and Winds |
P |
| 5.09 |
Klara |
Finkele |
|
BMRC |
Australia |
|
High resolution forecasting
of forest fire danger in Australia |
P |
| 5.11 |
Ludmila |
Geyko |
|
State Hydrometeorological Service
of Ukraine |
Ukraine |
|
The Forecasting of
Hazardous Weather Conditions in Ukraine Caused by
Southern Cyclones |
P |
| 5.12 |
John |
Henderson |
|
AER, Inc.; Meteognosis, SA |
USA |
|
Verification of Hellenic
National Meteorological Service high resolution
MM5 forecasts during the 2004 Athens Olympic Games |
P |
| 5.16 |
Wolfgang |
Linder |
|
METEOTEST |
Switzerland |
|
Swiss severe weather cycle |
P |
| 5.17 |
John |
Mecikalski |
|
University of Alabama in Huntsville |
USA |
|
The Advanced Satellite
Aviation Weather Products (ASAP) initiative for infusing
satellite information into aviation decision support systems: Phase I
(2003-2005) efforts at the University of Alabama in Huntsville |
P |
| 5.18 |
John |
Mecikalski |
|
University of Alabama in Huntsville |
USA |
|
Detection of convective
clouds and volcanic ash in satellite imagery using
an iterative statistical clustering method |
P |
| 5.21 |
Cynthia |
Mueller |
|
National Center for Atmospheric
Research |
USA |
|
Observation-based 0-6hr
probalistic forecasts |
P |
| 5.22 |
Thi Tan Thanh |
Nguyen |
|
National Hydro - Meteorological
Service of S.R. Vietnam |
Vietnam |
|
Some Result of test
Nowcasting the Widespread Heavy Rainfall over Central
- Middle Area from November 21st to 28th, 2004. |
P |
| 5.23 |
Michael |
Pavolonis |
|
University of Wisconsin - Madison |
USA |
|
Towards operational
satellite-based detection and short term nowcasting
of volcanic ash |
P |
| 5.24 |
Margaret |
Peace |
|
Auckland University |
New Zealand |
|
The prediction of air
pollution using a site optimised model and mesoscale
wind forecasts |
P |
| 5.25 |
Alessandro |
Pezzoli |
|
DITIC-Politecnico di Torino |
Italy |
|
Nowcasting of strong
Etesian wind in the Saroniko Gulf |
P |
| 5.35 |
Roy |
Rasmussen |
|
NCAR |
USA |
|
Winter weather nowcasting
at airports |
P |
| 5.27 |
Farahnaz Fazel
|
Rastgar |
|
IRIMO |
Iran |
|
Flood in the northern part
of Iran, Golestan province, 11 aug 2001 |
P |
| 5.29 |
Peter |
Sousounis |
|
WSI Corporation |
USA |
|
Short Term Turbulence
Forecasts over the Atlantic Ocean Using WRF |
P |
| 5.32 |
Anthony |
Wimmers |
|
University of Wisonsin - Madison |
USA |
|
Estimating regions of
tropopause folding and clear-air turbulence with
the GOES water vapor channel |
P |
| 5.36 |
Abdollah |
Tarbali |
|
IRIMO |
Isl. rep. of Iran |
|
Severe weather phenomena over hormozgan Provinic Iran, 8-11 August 2005 |
P |
| |
|
|
|
|
|
|
|
High-resolution NWP |
|
| 6.18 |
Ko |
Koizumi |
|
Japan Meteorological Agency |
Japan |
|
Assimilation of various
observational data using JMA meso 4D-Var and its
impact on precipitation forecast |
IO |
| 6.05 |
Stan |
Benjamin |
|
NOAA Forecast Ssytems Laboratory |
USA |
|
The NOAA rapid update cycle
1-H assimilation cycle in support of aviation/transportation,
severe weather, and tactical forecasting |
O |
| 6.06 |
Thierry |
Bergot |
|
Météo-France |
France |
|
Improved site-specific
numerical prediction of fog and low clouds |
O |
| 6.10 |
David |
Dowell |
|
Cooperative Institute for Mesoscale
Meteorological Studies |
USA |
|
Assimilating Reflectivity
Observations of Convective Storms into Convection-Permitting
NWP Models |
O |
| 6.11 |
Véronique |
Ducrocq |
|
Meteo-France |
France |
|
High-resolution
non-hydrostatic Numerical Weather Prediction of Mediterranean torrential rain events |
O |
| 6.19 |
Ying-Hwa |
KUO |
|
NCAR |
USA |
|
Prediction of the 10 July
2004 Beijing Flood with a High-Resolution NWP Mode |
O |
| 6.20 |
Humphrey |
Lean |
|
Met Office |
United Kingdom |
|
Trials of a 1km version of
the Unified Model for short range forecasting of
convective events |
O |
| 6.21 |
Dong-Kyou |
Lee |
|
Seoul National University |
Korea |
|
Heavy rainfall prediction
over East Asia using the high resolution WRF model |
O |
| 6.22 |
Charles |
Lin |
|
McGill University |
Canada |
|
Quantitative evaluation of
precipitation from numerical weather prediction
models, radar nowcasts and satellites |
O |
| 6.26 |
Mathias |
Müller |
|
University of Basel |
Switzerland |
|
fog prediction in a 3D
model with parameterized microphysics |
O |
| 6.27 |
Mathieu |
Nuret |
|
Météo-France |
France |
|
Initialization of
convection for the 3D-VAR Aladin mesoscale analysis based on the RDT product |
O |
| 6.34 |
Morris L |
Weisman |
|
NCAR |
USA |
|
Experiences with 0-36 Hour
Explicit Convective Forecasting with the WRF-EM
Model |
O |
| 6.35 |
Jishan |
Xue |
|
|
China |
|
GRAPES_Based Nowcasting
Design and Progress at CMA |
O |
| 6.02 |
Kwang-Deuk |
Ahn |
|
Meteorological Research
Institute/Korea Meteorological Administration |
Rep. of Korea |
|
The effect of grid size and
terrain resolution on mesoscale model simulation
over Korean peninsula |
P |
| 6.03 |
Chris |
Anderson |
|
Iowa State University |
USA |
|
Development of a stochastic
trigger function to represent subgrid variability
of convective initation processes in a mesoscale model |
P |
| 6.04 |
Michael |
Baldauf |
|
Deutscher Wetterdienst |
Germany |
|
LMK - Development of a very
short-range forecast model |
P |
| 6.07 |
Sigalit |
Berkovic |
|
IIBR |
|
The sea and land breeze
simulation with data assimilation in urban area by
the MM5 model |
P |
| 6.08 |
J. |
Bornemann |
|
Met Office |
United Kingdom |
|
A new high resolution operational model for the UK |
P |
| 6.09 |
Zuohao |
Cao |
|
Environment Canada |
Canada |
|
High-resolution Mesoscale
Modeling and Diagnosing of a Severe Fog
Event |
P |
| 6.12 |
Marcelo |
Félix Alonso |
|
Master's in Meteorologia - UFPEL |
Brazil |
|
Simulation of a squall line
occured in January 18, 2005 |
P |
| 6.14 |
Akos |
Horvath |
|
Hungarian Meteorological Service |
Hungary |
|
Nowcasting system of the
Hungarian Meteorological Service |
P |
| 6.15 |
Simon |
Jackson |
|
The Met Office |
United Kingdom |
|
Use of High Resolution NWP in Nowcasting at the Met |
P |
| 6.16 |
Jack |
Katzfey |
|
CSIRO Atmospheric Research |
Australia |
|
High-resolution weather
predictions for the America's cup in AUCKLAND: a
blend of model forecasts, observations and interpretation |
P |
| 6.17 |
Yong-Sang |
Kim |
|
Korea Meteorological Administration |
Korea |
|
A Three Dimensional Cloud Analysis for Diabatic
Initialization of Mesoscale Model and its Impact
Study |
P |
| 6.01 |
A. |
Männik |
|
University of Tartu |
Estonia |
|
Nonhydrostatic HIRLAM with
semi-Lagrangian semi-implicit dynamic core in high
resolution NWP environment |
P |
| 6.23 |
Jaci |
Maria Bilhalva Saraiva
|
Sistema de
Proteção da Amazônia (SIPAM) |
Brazil |
|
Comparison between the
simulations of a squall line occured in January
17, 2005 |
P |
| 6.24 |
Matthieu |
Masbou |
|
Meteorological Institute -
University BONN |
Germany |
|
Fog Forecasting at High
Resolution with the Lokal Modell |
P |
| 6.25 |
Parthasarathi |
Mukhopadhyay |
Indian Institute of Tropical
Meteorology |
India |
|
Simulation of Nor'westers
over Kolkata using RAMS and validation with
Doppler radar observations and Satellite ImAageries |
P |
| 6.28 |
Claus |
Petersen |
|
Danish Meteorological Institute |
Denmark |
|
Improving of Road weather forecasting by using high
resolution satellite data. |
P |
| 6.29 |
Chunyan |
Sheng |
|
Institute of Atmospheric Physics |
China |
|
A Three-dimensional cloud
analysis system with doppler radar reflectivity
for quantative precipitation forecast within 6 hours |
P |
| 6.30 |
Reinaldo |
Silveira |
|
INMET |
Brazil |
|
The use of a
High-Resolution NWP model for short range forecasting in Brazil |
P |
| 6.31 |
Myoung-Seok |
Suh |
|
Kongju National University |
South Korea |
|
Impacts of Land Surface
Conditions on the MM5 Simulation of Heavy Rainfalls
over Korean Peninsula |
P |
| 6.32 |
Jeffrey |
Tilley |
|
Regional Weather Information
Center, University of North Dakota |
USA |
|
Application of Very High
Resolution Multi-Model Ensemble Simulations
Towards Improved Understanding and Prediction of Local Scale Refractive Index
Variability |
P |
| 6.33 |
Lloyd |
Treinish |
|
IBM Thomas J. Watson Research
Center |
USA |
|
A Meso-Gamma-Scale
Numerical Modelling and Visualization System for
Weather-Sensitive Decision Making |
P |
| 6.36 |
Wei |
Yu |
|
Recherche en Prévision Numérique,
Environment Canada |
Canada |
|
High resolution wind
forecasting using statistical-dynamical downscaling
techniques |
P |
| |
|
|
|
|
|
|
|
Operational systems |
|
| 7.35 |
Brian |
Golding |
|
Met Office |
United Kingdom |
|
A new approach to
nowcasting at the Met Office |
IO |
| 7.03 |
Klaus |
Bähnke |
|
Deutscher Wetterdienst |
Germany |
|
Nowcasting and
warnings at Deutscher Wetterdienst (DWD) |
O |
| 7.04 |
Tony |
Bannister |
|
Australian Bureau of Meteorology |
Australia |
|
An end-to-end Severe
Thunderstorm Forecasting System in Australia: Overview
and Training Issues. |
O |
| 7.05 |
Cesar |
Beneti |
|
SIMEPAR Technological Institute |
Brazil |
|
Severe weather analysis and
forecasting with the integration of lightning,
radar and satellite information in operational center in Brazil |
O |
| 7.08 |
Pascal |
Brovelli |
|
Météo-France |
France |
|
Nowcasting thunderstorms
with sigoons - a significant weather object
oriented nowcasting system |
O |
| 7.13 |
Paul |
Joe |
|
Meteorological Service of Canada |
Canada |
|
Severe Weather Forecasting
Tools in NinJo |
O |
| 7.17 |
Ping-Wah |
Li |
|
Hong Kong Observatory |
China |
|
RAPIDS - A New Rainstorm
Nowcasting System in Hong Kong |
O |
| 7.23 |
Augusto José |
Pereira Filho |
|
University of São Paulo |
Brazil |
|
a Hydrometeorological ForEcast SYSTEM FOR the
Metropolitan area of São Paulo |
O |
| 7.24 |
Ales |
Poredos |
|
Environmental Agency of the
Republic of Slovenia (EARS) |
Slovenia |
|
Development of common
nowcastins tools in central european national
weather services |
O |
| 7.26 |
Rita |
Roberts |
|
NCAR |
USA |
|
The NWS/NCAR
Man-In-The-Loop (MITL) Demonstration : Forecaster Input
into a Thunderstorm Nowcasting System |
O |
| 7.27 |
David |
Sills |
|
Environment Canada |
Canada |
|
Development and use of a
prototype nowcasting system focused on optimization
of the human-machine mix |
O |
| 7.28 |
Iori |
Sugiura |
|
Japan Meteorological Agency |
Japan |
|
Very-Short-Range Forecast
of Precipitation in Japan |
O |
| 7.29 |
Arnold |
Tafferner |
|
DLR-Oberpfaffenhofen, Institute for
Atmospheric Physics |
Germany |
|
DONAR – Detection of severe
weather objects, nowcasting and areal risk
assessment for the upper Danube catchment |
O |
| 7.34 |
Xiaoding |
Yu |
|
China Meteorological Administration |
China |
|
Overview of Beijing 2008
Olympics WWRP Nowcast FDP and implementation plan |
O |
| 7.01 |
A.K |
Abdalla |
|
Sudan Met. Authority |
Sudan |
|
Simple synoptocal approach for short range forecasting of
dust-storm at Khartoum airport |
P |
| 7.02 |
Rosario |
Alfaro |
|
Instituto Meteorologico Nacional de
Costa Rica |
Costa Rica |
|
The Flash Flood Guidance
System for Central America and very short range
forecasting |
P |
| 7.06 |
Martin |
Benko |
|
Slovak Hydrometeorological
Institute |
Slovakia |
|
Development of nowcasting
techniques at SHMÚ |
P |
| 7.07 |
Pierre |
Bourgouin |
|
CMC/SMC/EC |
Canada |
|
Pubtools and taftools : txo
statistically-based nowcasting modules |
P |
| 7.09 |
Corinne |
Chabaud |
|
Université Toulouse 3-IRIT CSC |
France |
|
Ergonomical design of a
tool dedicated to nowcasting forecast |
P |
| 7.10 |
Wen-dong |
HU |
|
Ningxia
Meteorological Observatory, Yinchuan |
China |
|
Development Strategies and Technical Measures of
Short-term Forecast Operational Platform System in
Ningixa |
P |
| 7.11 |
Ata |
Hussain |
|
Pakistan Meteorological Department |
Pakistan |
|
Capturing of Storms and
Extreme Events from Modified Surface Weather
Charts |
P |
| 7.12 |
Xi |
Jing |
|
Yulin Meteorological Office |
China |
|
The forecast system of the
strony convective storm during six hours in the
north of Shaan xi |
P |
| 7.14 |
S.R. |
Kalsi |
|
India Meteorological Department |
India |
|
Short-range forecasting
capacities in IMD |
P |
| 7.16 |
Claude |
Landry |
|
|
Canada |
|
Scribe Nowcasting - AN
Integrated nowcasting SUB-System |
P |
| 7.18 |
Y. |
Liu |
|
Chinese Academy of Meteorological
Sciences |
China |
|
A brief introducing to
EWSSWE |
P |
| 7.19 |
David |
Matthews |
|
Hydromet DSS, LLC |
USA |
|
Hydrometeorological
analysis and short range forecasting needs of water
management decision-makers in Slovenia |
P |
| 7.20 |
Peter
|
Neilley |
|
Weather Services International |
USA |
|
A Real-Time System to
Estimate Weather Conditions at High-Resolution |
P |
| 7.21 |
Jacques |
Parent du Chatelet |
Météo-France |
France |
|
Aprenrad : A tool for
forecasters training on radar images, usefulness and
limits |
P |
| 7.22 |
Enrique Cesar |
Peñarrieta Gómez |
Servicio Nacional de Meteorología e
Hidrología |
Bolivia |
|
Predicción a muy corto
plazo en Bolivia |
P |
| 7.25 |
Sarath |
Premalal |
|
Department of Meteorology |
Sri Lanka |
|
Difficulties and Importance
of developing very short-range
weather forecasting and nowcasting techniques in
Sri Lanka |
P |
| 7.30 |
Ricardo Sarmento |
Tenório |
|
Sistema de Radar Meteorológico de
Alagoas |
Brazil |
|
Weather radar monitoring
system in the eastern coast of
Northeast Brazil |
P |
| 7.31 |
Simon |
Tschannett |
|
Department of Meteorology and
Geophysics, University of Vienna |
Austria |
|
Vera as an operational
nowcasting tool |
P |
| 7.32 |
Getahun |
Yeshitila |
|
National Meteorological Services
Agency |
Ethiopia |
|
Nowcasting and very short
range forecasting in Ethiopia |
P |
| |
|
|
|
|
|
|
|
Verification |
|
| 8.10 |
Elizabeth |
Ebert |
|
Bureau of Meteorology Research
Centre (BMRC) |
Australia |
|
Verification of Nowcasts
and Very Short Range Forecasts |
IO |
| 8.18 |
Jeffrey K. |
Lazo |
|
NCAR |
USA |
|
Societal Impacts and
Economic Benefits of Improving Short-Range Weather
Forecasts |
IO |
| 8.03 |
Barbara |
Brown |
|
NCAR |
USA |
|
Object-based verification
of convective nowcasts |
O |
| 8.04 |
Barbara |
Casati |
|
Meteorological Service of Canada |
Canada |
|
A new spatial scale
decomposition of the Brier score for the verification of probabilistic lightning forecasts |
O |
| 8.05 |
Olivier |
Caumont |
|
Météo-France |
France |
|
A radar simulator as a
validation tool for every short-term forecasts |
O |
| 8.34 |
Michael |
Kay |
|
Cooperative Institute for Research
in Environmental Sciences/Forecast Systems Laboratory |
USA |
|
Near Real-Time Verification
at Forecast Systems Laboratory: An Operational
Perspective. |
O |
| 8.12 |
Tom |
Keenan |
|
Bureau of Meteorology Research
Centre |
Australia |
|
Verification of operational
thunderstorm nowcasts |
O |
| 8.16 |
Christian |
Keil |
|
Institute of Atmospheric Physics |
Germany |
|
Forecast Quality Control
applying an Object-Oriented Approach using Remote
Sensing Information |
O |
| 8.20 |
Marion |
Mittermaier |
|
Met Office |
United Kingdom |
|
The use of an
intensity-scale technique for assessing operational mesoscale precipitation forecasts |
O |
| 8.21 |
Lucy |
Mtilatila |
|
Department of Meteorological
Services |
Malawi |
|
Multidimensional
applications of Nowcasting |
O |
| 8.22 |
PERTTI |
NURMI |
|
FINNISH METEOROLOGICAL INSTITUTE |
Finland |
|
Probabilistic forecasts and
their verification as decision-making tools for
warnings against near-gale force winds |
O |
| 8.26 |
Daniela |
Rezacova |
|
Institute of Atmospheric Physics,
Academy of Sciences |
Czech Republic |
|
The use of radar data in
the verification of a high resolution quantitative
forecast of convective precipitation |
O |
| 8.27 |
Nigel |
Roberts |
|
Met Office |
United Kingdom |
|
Assessment of the ability
of a storm scale NWP model to predict flood-producing
rainfall |
O |
| 8.33 |
Christoph |
Zingerle |
|
Finnish Meteorological Institute |
Finland |
|
Adaptation of an entity
based verification method for short-range cloud
forecasts utilizing satellite data |
O |
| 8.01 |
Francis |
Araniador |
|
PAGASA |
Philippines |
|
Rainfall forecast
using NCAR MM5 associated with tropical cyclone in the Philippines |
P |
| 8.02 |
Hayat |
Azmat |
|
Pakistan Meteorological Department |
Pakistan |
|
Economic and societal
impacts of very short range forecasting in developing
countries and users concerns ; Pakistan perspective |
P |
| 8.35 |
Marc |
Berenguer |
|
Grup de Recerca Aplicada en
Hidrometeorologia. Universitat Politècnica de Catalunya |
Spain |
|
Validation of a radar-based
advection algorithm from the perspective of flow
forecasting |
P |
| 8.06 |
Mike |
Chapman |
|
NCAR |
USA |
|
A verification of aviation
icing algorithms from the second alliance icing
research study |
P |
| 8.07 |
Laurent |
Delobbe |
|
Royal Meteorological Institute of
Belgium |
Belgium |
|
Verification of radar-based
hail detection product |
P |
| 8.08 |
Manfred |
Dorninger |
|
Department of Meteorology and
Geophysics, University of Vienna |
Austria |
|
Real-time verification of
mesoscale model products over complex terrain |
P |
| 8.09 |
Christian |
Doyle |
|
Environment Canada |
Canada |
|
Mesoscale Surface Observing
Network for the 2010 Winter Olympic Games |
P |
| 8.11 |
Elizabeth |
Ebert |
|
Bureau of Meteorology Research
Centre (BMRC) |
Australia |
|
A Real Time Forecast
Verification System |
P |
| 8.13 |
Niels Einar |
Jensen |
|
DHI Water & Environment |
Denmark |
|
Automated short term
forecast from LAwr x-band radar systems. Results
from the first three month of operation |
P |
| 8.14 |
Shalaby A. |
Kamal |
|
Egyptian Meteorological
Authority-Egypt |
Egypt |
|
Performance and Efficiency
of Non-hydrostatic Eta Model for Now-casting |
P |
| 8.15 |
Laura |
Karklina |
|
Latvian Environment, Geology
and Meteorology Agency |
Latvia |
|
particularities of very
short-range forecasting in Latvia |
P |
| 8.17 |
Paul |
Kucera |
|
University of North Dakota |
USA |
|
Precipitation verification studies of the weather
Research and Forecasting (wrf) model along the
east coast of the us |
P |
| 8.19 |
Gary |
Love |
|
Naval Research Laboratory |
USA |
|
Monitoring Coamps® Surface
forecast quality |
P |
| 8.23 |
Katarzyna |
Osrodka |
|
Institute of Meteorology and Water
Management |
Poland |
|
Quality evaluation of
NIMROD rainfall nowcasting |
P |
| 8.24 |
Monika |
Pfeifer |
|
DLR Institute for Atmospheric
Physics |
Germany |
|
Precipitation forecast
evaluation by polarimetric radar |
P |
| 8.25 |
Zahid |
Rafi |
|
Pakistan Meteorological Department |
Pakistan |
|
Flood operational system in
Pakistan and role of mass media and assesment of
flood effected areas in Balochistan |
P |
| 8.28 |
Vincent N. |
Sakwa |
|
Kenya Meteorological Department |
Kenya |
|
Numerical short-range
Weather Forecasting in Kenya |
P |
| 8.29 |
Ismael |
San Ambrosio |
Instituto Nacional de Meteorología |
Spain |
|
Objective Verification of a
radar-based operational tool for identification of
hailstorms |
P |
| 8.30 |
Umayra |
Taghiyeva |
|
National Hydrometeorological
Department |
Azerbaijan |
|
Problems of forecasting: the key natural
hydrometeorological phenomena affects, ecological
safety of the South Caucasus in the context of Azerbaijan |
P |
| 8.31 |
Reinhard |
Teschl |
|
Graz University of Technology,
Institute of Broadband Communications |
Austria |
|
A method to enhanse 3D
radar rainrate data by interpolating over adjacent
grid data |
P |
| 8.32 |
Lamin Mai |
Touray |
|
Department of Water Resources |
Gambia |
|
ARPEGE model evaluation
over the Gambia |
P |